It's been a run, so let's talk about it. Ooh, that's a hot mug, guys! Hey guys, this is my review for Supernatural Season 15. Now, before we get into any of the technical, first off, let us all just appreciate the absolute incredible feat that this show accomplished. Nowhere in a million years did I feel or believe that this show could go as long as it did. And while I may have had my issues with it over the last few seasons, I am not going to deny that I will miss it. My Thursdays from here on out will never be the same. But there still needs to be something said about the last season of this show. Is it the worst season? No, but it becomes so hard to defend it when there was a massive drop in quality. And this was pretty much elevated by the last three seasons before it. Season 12, season 13, and especially season 14 really established the idea that this show was stealing from fan fiction. Not literally stealing it, but certainly taking a lot of elements and story writing from fan fiction. And I'm not saying that all fan fiction is bad, but there is obviously a lot out there that don't have proper grammar structure and proper storytelling. It's more so mythos and just, oh, that's a cool idea, but not anything actually really well thought out. And that's what season 15 is and it's what the last few seasons have been. I can even say that it's almost lower than fan fiction because the amount of retcons that happened in this season along with the entire Chuck Godd being a villain retcon were so blatant and so obvious. I constantly had you guys or other people commenting on the videos saying, hey yeah, that just got retcon. Hey yeah, that just got retcon. And there are things that are easily viewable from the Wiki on the Supernatural website. The Supernatural Wikipedia is a wealth of knowledge about this show and the writers don't even use it. They don't even know it. The retconning of monsters, lore, vampires, everything in this show was so willy-nilly at this point that one of the writers, Eugene Ross Moss or Eugene Moss and whatever, she just was retconning things left and right. Aside from that, let's actually talk about what this season was.  For those of you who still believe this was originally intended, no, I can prove this to you. For the last seven seasons, everyone who has worked on that show thought that that season they were working on was the last one up until three, about maybe a month or two prior before the ending, before they finished filming, they knew that they were being renewed. You know how difficult it is to try and write a story that can't end but also can end but has to be left just a little bit open enough that it can continue on. And then imagine doing that for 10 years. That's what Supernatural has been for the last 10 years. Just a somehow ability to continue on to the next thing. It's why there was never any crossover. That's why we never got any storyline like that of one through five. And there was a lot of bad guys. There was a lot of bad episodes in this season.  When they came across a car that had blood in it and all of a sudden they just realized, hey, all the things that we've fought over the years are coming back from the flimsiest conclusion ever. I need my ice cream for this because this has actually been, I've been thinking about this for the last few days. Yes, there were some decent episodes. I even wrote my list here of ones that I thought were decent. The first good episode of this season was the episode that Dean, or sorry, Jensen directed with the one with the Kid Vampire.  Eileen's episode return is the first six out of seven. I've given the show in so long. It was such a good episode. The use of witches in it. I liked everything about the Rowena's kind of secret whole area here and having Sam be the one who could go and get these things and the weird kind of spells, traps that were in the house.  When Dean shoots the girl, falls to the ground, everyone's like, okay.  And Dean's like, yeah, I'm just been waiting for someone to take my gun for the last five minutes. And then we had the episode where Michael and Adam rose and we got to meet them again, not like that actually became anything of any importance later on.  I was expecting something. Anything from this character's return. Considering how long we have actually talked about it. And I thought that of all the returns after Lucifer and God were revealed was like, okay, they're never gonna bring up Adam.  Absolutely nothing. Sorry, that was just one story aspect that I did not like and I was way more forgiving of that in the finale.  And that's something that this season had a lot of was just a lot of going back and forth between being, oh yeah, this is a good idea to, oh no, this is actually not a good idea. Let's drop it. That was something that was very bad in season 14. It wasn't bad as bad in this season but the whole God army coming out of the whole thing, that was resolved incredibly quickly. And the amount of filler episodes in this season is staggeringly horrible. What was it with the last four in the last seven episodes that we got, essentially three of them were filler episodes. The weird Miss Holiday one, the one with the Baba Yaga, the one with Cass and Jack going after the psychotic daughter Ripper seven rip off. What was with the filler episodes in the season? You didn't need any of them. Oh, and the worst filler episode of this entire show. Okay, that's a bit of a stretch but of this entire season was Last Call and this is an 8.5 on IMDb. I don't know how this episode has that rating. It is a terrible episode. It is once again this stupid trope of Dean saying, hey, a friend of mine who I've never mentioned before but apparently I have very good ties with even though I am now double the amount of time that it's been since I've seen this guy. It's been little decades but I'm like, hey buddy and then it's just an excuse for me to sing songs and drink beer. Even though this is the complete opposite of what my character has been. Like this development isn't development. It's the actual actor getting to do what he wants. Maybe that's what they all wanted to do and sure that's a fun, no, no it's not. It's not story related. It was such a bad episode. It was just a massive squee fest and maybe the ones who go to the shows are all cool about that but that's not what I was in for. And then there was the whole idea of them not having their luck anymore which on paper is a funny short joke especially for the car but essentially it works for the car and for Dean's dental work but otherwise everything else was just terrible about it. I feel a setup so they could kind of make the rusty nail make sense but I just thought that's like, you know, what they've done. They know they don't have to worry about anything anymore. They could have used something better than the rusty nail but whatever everything's are done, things are done. I'm getting this upset because it is over. It is something that I'm not gonna be able to talk about at least in a new aspect anymore. And I just kind of wish that they had a little bit more effort. You could see that they were kind of lacking in certain aspects. The hair and makeup team were just lazy and especially in the final episode. Some of the blocking in most episodes wasn't the greatest. Apparently in the first three episodes, the area where they shot, they nearly burnt it to the ground and what I mean burnt not physically like caught on fire.   I'm happy that we got a conclusion that wasn't terrible. I am appreciative of that. I am a bit upset about certain aspects never being fully realized. Obviously I know COVID was something that affected but really the only person, the only person who got proper conclusion, the two people actually, was Garth and Ketch who died, thankfully.  Funny enough, it's the part that I remember the most about the beginning of the season. Aside from the pool game, which if I could say that there is an episode that's really good in terms of just being a giant homage to the show was pool, the pool game episode. And it's a bit cheesy but this is the very thing that got the boys money. This is the very idea concept that got them by when they first started before they had McGuff and everything. This was what they would do, they would hustle. I liked that the very thing that kept them going was the thing that they needed to rely on to survive. I like that aspect. Does buy into the whole Chuck thing which I'll just get this out of the way. I did not like Chuck as a villain. I thought it was very childish. I thought it was very strange that Rob Benedict acted as childishly as he did. He reminded me of Lex Luthor by Jesse Eisenberg. I really thought the empty was going to be the villain of this season. I really thought the empty was going to push God out, like be the tyrannical. Chuck would be like, oh yeah, maybe I've done wrong and then the empty would come in and become the main antagonist and they'd have to try and fight it because this was something that literally we don't know anything about. It's just a McGuffin thing that Dab created in season 13 who also leading into Castiel. If that's the end of Castiel, I know that that's the only depressing thing of this entire show. That's the only person who got a sad ending. Yeah, he died saving Dean's life and we're not going to talk about that other aspect because if there was ever a thing that's called bait, that was bait. That was bait. I don't know. I thought Castiel had kind of an unceremonious ending and I think that's why maybe Misha was so sad because he couldn't be there for that. Dab did what he could. I didn't think Dab really had a chance at all, chance in hell in ending the show, anything above okay and that's what he got.  And I know there's people out there who believe that this ending was a train wreck and I don't disagree with you, especially if you left the show early on like season six, season seven and then came back, the degrade in the of quality had really, really dipped and I only really saw it when I started reviewing the earlier seasons. I was such a constant viewer of it that I could see the progression and I don't know how people don't see it when they keep watching it. When they binge watch it, binge watch it, they have to know that they're all of a sudden there's a quality change. They have to. I don't know how they couldn't, especially with the passing of Kim Manners. He never got to episodes as directed as well as the ones directed by Kim Manners.  It's not as bad as season 14.  Because I did the math and out of 140, which was the score, it got a 69. It essentially got a 40, 4.9 out of 100. It failed a passing grade.  Like the amount of positive episodes are very few. For instance, here's the stretch that I was talking about. It's season, episode 12 got a four to seven, 13, two at a seven, 14, two at a seven, 15, three at a seven, 16, two at a seven, 17, five at a seven. That was a good episode. That was a prelude towards like the triple part of the finale. 18, three at a seven, 19, three at a seven. It just completely dropped it in the last seven episodes. It was unfortunate that those were delayed by COVID, but I think that I still would have felt as badly about those episodes as I did. Now, sorry, just a little bit of a jump cut here because I couldn't finish the video because I just got on a tangent and I wanted to take a step back and think about it more. But before I give my rating, I'm going to look at the polls and see what you guys said because I asked you guys, I wanted you to give your own sort of interpretation. And these were the categories here. And as you can see, these are the results. I'll start from least to most. You guys at 9% said that it was a five or a six with a season one to five caliber. And then in fourth place was Swan Song Bart, part due of a seven, 10%. Don't know what you're smoking there, but whichever that's up your choice. The number two is two slash three purgatory slash hell. Whichever lineup is longer, that was 15%. And then the one that I kind of worried that was going to take it, but thankfully it didn't was a one out of seven, which belongs in the empty, only a 19% in second place. And then the very, very obvious and forward ahead winner is a four. Halfway there, living on a prayer. I kind of worry that you guys chose that answered because of how I wrote it rather than the actual four. But that is what you guys thought at 47% that was a majority. And this had like 200 and something, 263 votes. That's crazy. Now I didn't realize I'd get so many good comments from you guys too though. So I'm going to read those in a different video because I already know that I've rambled on enough. But in the end, my rating for supernatural season 15. Funny enough, actually, I'm going to go exactly with what I said before because I thought that maybe I was wrong with what I said earlier, but no, I'm going to cut back to me when I did the review last night. I've been sitting on a three for the last while. This is the one time I'm going to do it because I've been committed to this show for so long. Season 15 of supernatural gets a 2.5 out of seven. That's the first time I've ever done a 0.5, ever, ever.  Oh, that's hard to say. Anyways, guys, I hope you enjoyed this video. If you did, leave a like. And if you're interested in more, subscribe. For those of you who did leave a comment, don't worry, I will be doing a comment read through soon. And then I'm going to also find out a way to do a poll for the top five best and worst episodes. So if you guys have any suggestions of poll websites, please send them my way. Thank you guys so much for joining me on this adventure for the last year and some of you the last five years. It's crazy to think that y'all have been listening to me talk about this show for as long as you have. And I thank you so much. And I hope you'll join me on a bit of a retrospective as we continue from season four all the way back to the end of season 10 where I started. We might get there hopefully in a couple of years. Anyways, guys, that's all for me. See you guys next time. Thanks for watching the video. My name is Knitz and you might remember me from the animated cult classic TV show, Undergrads. It's been a while, but I'm happy to say the click is finally getting back together in an all new movie, thanks to a successful Kickstarter campaign. But we are still asking for your support. To see any and all updates about the upcoming Undergrads movie, be sure to check out and like the Bring Back Undergrads Facebook page. And with any luck, we'll see you guys soon.


From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. The AI Gold Rush is on. The paths to monetization are seemingly endless, but the most obvious converge on making humans more productive or supercharging existing business models like search advertising and maybe some others that we haven't thought of. Much of AI adoption in enterprise IT is hidden. Our research shows a very high overlap around 40 to 60% between AI adoption in enterprise tech and embedded AI inside software from the likes of Salesforce, ServiceNow, Workday, SAP, Oracle and other major players. But a rapidly emerging group of independent AI firms is gaining traction, catalyzed of course by OpenAI and Microsoft partnership. These pure plays are positioning themselves to ride the AI wave while new AI startups are being formed daily with much less capital than previous cycles. Hello and welcome to this week's Wikibon Cube Insights powered by ETR. In this Breaking Analysis, we review the state of AI spending in the enterprise and look at the positions of several key players in the space that offer AI tools and platforms. And to do this, we invite Andy Terai, who is the CUBE contributor and vice president and principal analyst at Constellation Research. He's an AI expert. Andy's going to help us unpack the hits and misses from this past week's Google IO conference and give us his perspectives on what it takes to catch the AI wave and avoid becoming driftwood. Andy, hello, thanks for coming on theCUBE. Thanks for having me on. Always good to collaborate with you. I want to, before we get started, I want to set the context on the overall IT spending environment and then we'll get into it. Let's show a chart here. This is ETR survey data going back to January, 2021. And the survey reaches more than 1,500 IT decision makers. The last one was almost 1,700 ended in April. This is a quarterly survey. The lime green bars show the percent of customers adding new platforms. The forest green shows the percent of spending that is 6% of customer spending, 6% or more relative to the previous years. The gray is flat spend and the pinkish area is spending down 6% or worse. And that bright red, that is the percentage of customers that are retiring platforms or churning. You subtract the reds from the greens and you get net score, which measures spending momentum, which is shown in the blue line. And you can see coming into 2022, there was a lot of optimism that deteriorated throughout the year in 2022. And while the entry into 2023 brought an optimistic or a more optimistic outlook, we got hit by interest rate rises and earnings revisions. And that put a damper on the enthusiasm and the trend line has continued to decline. So it's no surprise there, but it sets the backdrop. And now let's take a look at the same data for AI. And we'll bring in Andy, some colored, same colored bars, but the pace of decline of the blue line is less steep. And the other really important point is the blue line is consistently stayed above the 40% mark shown by that red dotted line. 40% is considered a highly elevated level. So we're talking about spending momentum in AI being 22 percentage points higher than overall enterprise tech spending. Now the other key point is the yellow line, which shows how pervasive AI is in the dataset. That's a measure of AI's relative share of the total survey. You can see it peaked in April, 2022, that survey and then declined last summer. But since the launch of chat GPT, it's steadily increasing and reaching new highs. Andy, I wonder if you have any thoughts on this. Absolutely. So that's a great survey, by the way. My sampling set is not as big, but based on my conversations with some of the bi-level executives, which is almost in line with what your survey finds. If you could put the slide back on, I want to point something out. In that, if you look at that, before the chat GPT came wildly famous, even though chat GPT has been around for, the GP models have been around for a while, the successful POC that Microsoft has been doing started early this year, so it went wild. So as you can see in the chart over there, it started off somewhere around January, started ramping up, and then you can also see the adoption of the AI curve, it went much faster. So there are two things I see happening in here. One, because as I tell people that the AI adoption or chat GPT is the most widely successful POC anybody can ever dream of, so everybody jumped on the bandwagon, that's one. Two, because of that enterprises are looking for ways to minimize their cost using any AI use case they can, whether they'll have productivity increment by using more efficient code, to have AI increase developer's productivity by writing two or three times more code, or even introducing AI into IT operations and whatnot. So by doing operations, reducing incident management, so in other words, the overall spending in IT is reducing, but the overall spend in IT, AI is not reducing, they are trying to make up for the spending what they're doing by putting more money into IT, that's what I'm seeing. You're right on, it's definitely getting a greater mind share. Nobody's really figured it out yet, but virtually 100% of the people I talk to are trying to figure it out. I use chat GPT virtually every day. Our developers were able to develop a cube AI demo in less than a week, and it's actually very good, and it keeps getting better and better and better. Okay, it's triple crown season, so we got to line up some of the AI horses on the track. This next chart shows ETR survey data, like I say, just almost 1700 IT decision makers from the April survey. The vertical axis is net score or spending momentum, and again, that red dotted line at 40% is a highly elevated spending velocity. Anything over that is considered highly elevated. The horizontal axis is pervasiveness in the data set, and the first thing to note is the big three hyperscalers. They're dominant in this space, along with Databricks, which as we've reported is very strong market momentum, and you'll also notice how the position of Microsoft has changed since its announcement with open AI and the Bing integration. Anaconda is an AI platform for data scientists, and there's a pack of companies including H2O.AI, DataRobot, DataIcu, and some others that we will talk about in a moment, but you can see both Oracle and IBM Watson show up. First, Andy, do you have any comments on this and anything that surprises you here at a high level? So, as you can see in the chart, the Microsoft, as we discussed about the numbers, the jump in Microsoft, as one would expect after a chat GPT is phenomenal, while the other two either lost market share slightly or went up a little bit. Microsoft, as you can see, went from lower left all the way up to straight up to upper right, which is a dream chart for anybody for the matter. So, you know, that's all riding on the chat GPT hype. And also, I actually sat in and listened to Satya Nadella's Q3 earnings script, and there are some things that jumped out at me, right? One is he is talking about the new AI wave solution and expanding the TAM, and he called it as a new wave, which means this is not a workload that never existed in Microsoft Cloud before. Now they are trying to bring in this AI workload to move to them. And this is actually an afterthought for them because it never used to happen for them before. When people think of AI workload, whether it's Google or it's, you know, AWS was the number one or two for the longest time. Now they are throwing Microsoft in the mix. You know what, maybe I should do that. That's one. And two, if you listen to the call again, you will see that he claims that one, he has the largest powerful AI infrastructure that he wants people to train their models in it. Moving away from chat GPT, know what it can do for you and then train your own large models in that. So that's another market they're going after. And the third one that's from the conference call that surprised me is, you know how many customers they have for open AI right now in spite of all this hype? 2,500. That's nothing. That's a rounding error, right? But if you had to look at the Azure Arc, which is a hybrid management deployment security solution, that has 15,000 customers. So they are barely scratching the surface of the AI and they're hoping against hope by throwing in things like Cosmos DB, which is the AI database and the combination they are up. They are hoping that when people think of AI, they will think of Microsoft first instead of looking at other companies. Well, I mean, it's completely changed the way people think about technology, think about interacting with, I've often said many times, that AWS turned the data center into an API and now chat GPT, people are rethinking how we interact with technology. Let's dig into some of these players in a bit more detail. But before going there, can I make another comment, please? So to point about Microsoft AI, in spite of all the hype, people are thinking that, you know, Microsoft wants to get this newer workload of AI, but it's initial projections and initial goal is not to get that workload. It's to make a dent in Google's search business. If you are to prove that AI can do all this for you, Microsoft is hoping to revive their search business. You know what a huge market that is? Google pretty much owned it for a number of years. They're hoping that by doing an AI-powered search, Microsoft can get some of that. That's what they're going after, more than AI workloads. I mean, it's the most profitable business there is. It is. It is. Look at the pie chart. That is a huge market. If you dig the pie chart of search advertising, it's like maybe a sliver is other and then Google has, I don't know, 98% of it. It's unbelievable. All right, bring up that other, those talking points because I want to first talk about IBM. IBM, Andy, they could have had this thing sewn up. I mean, it had all the mind share back at the beginning of the last decade. Alex, I wonder if you could play the clip. Now we come to Watson. We're looking for Bram Stoker. And we find who is Bram Stoker and the wager. Hello, 17,973, 41,413 and a two day total of 77,147.  I mean, this is incredible. A machine beats a human at Jeopardy. It beat, you know, Gary Kasparov about 10 years earlier at chess. This is like that times 100. What happened? Why did IBM Watson fail? Well, so I don't remember that moment. I was at IBM at that time. So it was a very proud moment for all of IBM. And I remember that moment. So it was a very proud moment for all of IBMers at the time. Mace, but it is, it is. But the problem is, again, this goes to prove a point. No knock on IBM. But good research companies may or may not be able to figure out a way to go to market at times. You know, so they could have owned it. But there were limitations. There were technology limitation at the time. Usability cloud is not a big thing at the time. There were limitations on how you can use the technology, the implementation, the cost, the value that you'll get out of it for the money you're doing at that time is not feasible. So IBM kind of delayed a little bit. And also there was, again, I'm not speaking from internal knowledge. I'm talking about overall observation. The other thing is that the AI-related regulation governance ethical responsible AI and all of that were not matured by them, right? So now there are companies starting to do it. Still it's not matured by you, right? But if you are to look at the thing 2023 announcement they made last year, some of them were pretty good. It caught my attention. So there are a lot of things like AI Studio, Datastore, Governors, and even things like GP as a service. All of those things, they're just catching over the market. They are so far behind. They're catching over the market. The thing that did stand out to me, a couple of things. One, they have this center of excellence of AI experts, over 1,000 experts. Imagine that. That's huge. None of those other companies have.  So if you're able to do this long-tail sales cycle with the customers, hand-holding them as a customer advocate, IBM has a way to maybe gain some traction with customers. That's one. And two, they also have this what's called an environmental intelligence suit. That will provide you information about carbon footprint, how much it takes to train your models, how expensive it is, the carbon footprint, the whole calculation. So for the companies which are very environmentally sensitive, because the training large models is not cheap, as we're talking about tens of millions of dollars. It's reducing in a faster pace. It's coming towards a few hundred thousands now. But still, there is a cost involved. So if the company is very worried about the environment, I want to say that it'll give you an idea of how much it will cost and where and all kind of things. So there are a couple of them are standing out to me. But overall, they're still catching up. I feel like IBM's greatest strength is its biggest hindrance in that it's a very services-oriented company. When they brought out Watson, Jenny Rometti was the CEO. She was the understudy of San Palmosano. Both very services mindset. They've got a phenomenal services organization. And I think a lot of IBM said, hey, we can use services and drive services revenue to implement all this AI. And it's the wrong scale model. And now we're sort of, hey, I said no. I mean, what are the brand they got? What are you going to say, IBM AI? Watson is a well-known brand, right?  Right, so you would have gone a million years. All right, how about Microsoft? I've said a number of times that they went from third place in AI technology relative to Google and Amazon. And then all of a sudden they cut the line with open AI and that deal they cut. And Satya, he's got that sort of Cheshire cat grin. We were talking about this before in terms of he's only got a fraction of the search ad market. Now, you know, even a small share gain is going to both hurt Google and drop to Microsoft's bottom line. But, you know, word is Microsoft is actually talking to Firefox about embedding Bing Chat into Firefox.  And it's because really Bing Chat hasn't really moved the needle. What are your thoughts on this? Well, there it goes. We were talking about search, right? I mean, at the end of the day, right now, the money is not in the AI workload. That's an innovative futuristic, I'm thinking down 10 years down, again, things could change fast, but I'm thinking about 10 years, 20 years down the road that, you know, that's my workload. But right now what my workload, the major workload that I can get is the search, search advertisement. And Bing was almost never existed. So now they think they can revamp that by a combination of Bing or Firefox or, you know, doing AI infused. There is, I gotta tell you, before this, I mean, have you ever used Bing? Hardly ever anybody uses, right? No, and even now, I've used it. I'm like, yeah, it's okay. I'd rather use ChatGPT, honestly, you know? That's the point. By infusing ChatGPT into Bing, they are hoping to revive their search. But again, we'll talk about Google in a minute. By doing certain things, Google either caught up in my view or catapulted ahead of that. So it's going to be a two or three horse arrays when it comes to AI. And Microsoft and Google is at it. I actually think Bard's really good. I've used Bard a bunch and I find it, its accuracy is sometimes better. But anyway, you wrote a piece called Google's Generative AI Strategy from Google I.O. 2023, Hits and Misses. We'll put it into the show notes so that people can get access to this. I thought it was very good.  And in this piece, I say you laid it out really nicely. And I agree with you. Workspace and email that helped me write. The photo editing is pretty cool. We've seen that before. You see the commercials of Google Pixels, Google Pixel, the phone, you know, the Bard uplift I thought was really impressive. And I said, I personally have had better experiences with Bard than I have with, you know, of ChatGPT from a quality standpoint, believe it or not. But you also had some misses in there, too. You didn't think Cody went far enough, didn't have enough scope in terms of the languages that it supported. You were disappointed with the industry breadth, even though they did have like a med, palm or palm med. I can't remember exactly what they called it for the medical. It doesn't sound like you were overly impressed, nor was I with Google Cloud Platforms announcements and integration, but maybe you could explain sort of what Google did, you know, palm in your take on those announcements. Okay, so let me talk about a couple of items in the hits, which I thought was pretty good. One was the, what people didn't probably get in that is the AI-enabled cognitive search that Google introduced. In my view, that's going to be a game changer for them in the search market, snatching it back from Microsoft again. Yeah, that's the Bing competitor, right? It's a Bing competitor at big time. But here's the thing, though. The ChatGPT equal, and if you had to do a search, ChatGPT models are not real-time. We are talking about training the model in an incremental way. I mean, the first ChatGPT when it was the hype came in, it was like a two-year-old model. People were wabbed even with the data that was about two to three years old. But Google claims, again, to be proven, the hearsay is that it's real-time cognitive search, which means if I'm searching, imagine ChatGPT giving you answers real-time versus two-year data. That's what Google is going after, right? That's one that I thought was pretty good, by doing a- That was 2021, right? So that's one. The other thing is the barred synthesized AI content when it shows that they don't want to miss, because there's a lot of people who love the original way of Google showing all the documents, pick what it was kind of thing. They, if you look at the demo, what they did at the Google IO show, they give you both. They give you that barred search synthesized search results on the top, which is equal on a ChatGPT, you can see that synthesizer results. And then at the bottom of it, regular Google results, right? So I think they don't want to lose this market and they want to get the other market, so they kind of mix it up. Innovative dilemma. So that's one. And the other one I thought was pretty good was that actually could be useful, not just on search, but now we could move things into more like an e-commerce market. You know, when I'm building stores and stuff, I could search using that, which ChatGPT cannot do, by the way. So I could do search for pictures, images, combination thereof, and I'm looking for something, I search for it. And then that enables the e-commerce stores, which is not an option with Microsoft Search right now, with Bing, I mean with ChatGPT right now. So those two actually stood out to me, in addition to the Google Workspace we talked about, for the image editing, multiple LLM models, and blah and all that, right? I'll bring this up later on, but I think that point you're making about e-commerce and shopping is really, I mean you can do some basic shopping at Google, at least from a search standpoint, you really know, you don't do the transaction, you'd rather go to Amazon or some other site, maybe go directly to the site, but what if you could bypass Amazon's warehouses, go directly to the site, and then have them drop ship it, no warehouse needed, okay? And that's kind of the model that Alibaba uses, so that could be very disruptive. Yeah, it could be, that's why that stood out to me, right? I was watching that, I don't know if people got it. And the other one actually they were talking about was, you know, that Google, when it comes to maps, it's Google, that's it, no one else you go, right? And they were talking about, you know, not only that I'm able to map the coordinates to see a 3D view of where I want to go, and a total view, for example, if I want to go for running, walking, I want to see that, but on top of it they could also add things like, you know, how would that traffic going to be, the air quality going to be, the temperature going to be, into the futuristic, into the tomorrow morning, tomorrow afternoon kind of thing, so it's like a back to the future movies. I thought that was, that wafted me. But the flip side of that is, if Google, if you're watching this, the people who do maps, make it better. I mean, they should be, if you're going to use it, they should be using AI already, I'm sure they are, but if I go into like, say Waze, which is owned by Google, and I want to pick a time, like choose a better time to go, and I choose like, let's say I live, you know, out in the sticks, so if I want to go to Boston, if there's no traffic, it's 45 minutes. If there's traffic, it's an hour and a half, or hour and 45 minutes. And it will tell me, you know, leave it whatever, seven o'clock for an eight o'clock meeting, and I'm like, there's no way I'm going to get there in an hour. And it'll say, yep, yep, yep, but then when I go, I can just see the traffic building up, building up, building up, and I can predict it as a human, better than the machine can, so they should be able to do it. That's the demo that they were showing. I'm hoping that they'll be, because they'll be able to predict, and I'm hoping that this comes out. That's what got me excited. I'm skeptical, because I'm like, why doesn't that intelligence already get in there? The only answer that I can give, I'm ranting, is that they care, they're optimizing for ads. You know, maybe they want to keep you in the car longer. All right, let's talk about AWS's Lego block approach. I'm a fan of targeting builders, which both GCP and Microsoft will do, but those two definitely have other consumer and advertising aspirations, whereas AWS does not, of course, is always Alexa. So you've got Titan, you've got Bedrock, which is a large language model as a service. You've got Code Whisperer. What do you think of AWS's Lego block approach and their chances? So each one have their own approach, as we discussed, right? And Amazon's approach is, you know, as we talked many times, I'll give you all the building blocks you need, Legos. And used to be, they used to give it at the, you know, much of the infrastructure now, right? Now they are moving the thing up a little bit because, you know, of the computation and, you know, the pressure they're getting from them. So you have Bedrock, obviously, it's going to include the foundational models, as they call it, multi-models, and they have both for textless servers, for images and stuff, and they got Anthropic in there, and they got AI 21 Labs, stability AI, and Amazon's one type. They are all accessible via APIs. That's all the base, you know, table stakes. But the thing that impressed me about that is they're also making a claim, I don't think it's available yet, but whenever it's available, you can privately customize there from using your own organizational data. That could be a differentiator because basically you take the models, whatever the model is offered to you, and then you train the models on your own data and keep a private instance of it. So basically what that means is, if I want to do a support chat, you would take the knowledge corpus you have and then train the whole model using your data, then all of a sudden you have the super support persons available that you can talk to at any given time based on the data that's available. That I'd really like. And the other thing I like is the Amazon code, well, I wouldn't say I like it, Amazon code whisper is decent, but it's not at the level of code pilot yet because code pilot has been around for a while now, so they are up and running much better than these guys are. And then I think they hit it off the park with the hugging face partnership because if I'm going to build the blocks, then I gotta give option for people to get the models as well from hugging face and start using that. I thought that was huge. And then also obviously as you know, they have their own easy to versions of customized, I mean Google came and talked about it multiple times saying that I'm gonna, both Microsoft and Google saying that I'm going to have customized infrastructure or optimized infrastructure for Amazon. Yeah, they're falling. Not only silicon, but also the easy, they'll have a training based for training of the models. They have a specific easy models and then chips and then sending for inferences for inferences based models. Yeah, so you got, so Titan is the new chip. Titan is actually the model, FM model for. So I see, okay, so the new inferences. Trainium was for training of the models. Trainium and inferences. For inferences of the models. Which are ARM based silicon from the Annapurna acquisition. So I mean Amazon's probably five years at least ahead of those guys.  I'll give you, you ask for what you want. I'll cook the whole thing and give you as a chef, you know, the final finished product. But Amazon is like, you know what, I'll give you all the ingredients and best of the ingredients and best of the best and you can build what you want. And it's, it's, there's nothing wrong with either model. You got to choose what you want. But aren't, isn't, aren't Google and Microsoft going to do the same? The difference is they're also competing on the full stack with, you know, the completely integrated. I mean, Google's going to be going after search, right?  Whereas Amazon, I think is generally saying here, go build it and then go compete against whether it's, you know, up the stack. They're not today anyway, getting, you know, deeply into building application software. They've got certain verticals. Like, right. Think about their, their call center. But that's the thing.  I go up even applications if you want. I'll integrate with the full corpus of knowledge data, what do you want. So they can go up the stack a little bit one at a time. But again, there are, there are models that, you know, I'll give you the components you want. And, and my Amazon's primary goal is to drive traffic to their cloud.  That's my model, you know? All right, let's take a look at some of the emerging companies that aren't yet public. This is data from ETR's ETS, the Emerging Technology Survey. It's exclusively tracking privately held companies and plots net sentiment, which is a measure of the net percent of customers that intend to engage, i.e. either evaluate or adopt, on the y-axis. And it's plotted against mindshare, which is measured based on the presence and the survey of these 1200 IT decision makers. And note that open AI, open AI wasn't even in the data until last fall, when chat CPT was announced. And then they now, at the time, and now they still have the number one position on both dimensions by far. Databricks is very prominent and always has been with its ML and AI tool chain, but also some of its other products that may be seeping into the sector, but it's intended anyway, the survey to be clean with AI ML. There's a whole another data platforms, database, data warehouse section. So Lakehouse should fit in there, but they also show up, as I say, in that section. So it's intended to be AI only. And you can see the other emerging companies like Anaconda, which is a platform for data science, data robot, data IQ, hugging face, which we had at our AWS startup showcase, doing partnerships with AWS. And then this month they announced with IBM and others. So what do you make of this data? Are there any surprises in here to you? Yeah, a few surprises, right? So one is, well, I mean, obviously open AI is not a surprise that everybody should know. I'd be surprised if it is not rated that high. You know, it went from, came from the left free as they say, to get everybody by surprise. So that one is fine. But the one that actually most surprising to me is hugging face, because hugging face has been all over the place. You know, if you know, if you know open AI, pretty much, you know hugging face. All over the place in a good way. And they have been forging relationship with, you know, from, they actually have a relationship with Azure as well, with Azure, Amazon, with IBM recently, what they released in Google, they are all over the place in arms and relationships. You know, they have become the defect of model repository for all the model, you know, distribution.  It's not just that they also provide, you know, a platform for you to train models as well. But again, it's well-known in the model management, model training, model repository area. I'm surprised that, you know, it's that low. I don't know why and how this is measured off, right? So that's a surprise. Well, there's a bias toward large companies, large U.S. companies. I don't know if that makes a difference potentially because it's a much smaller comparatively size-wise. That's possible. So that could be, you know, maybe a lot of the sort of, you know, this is hardcore enterprise IT, right?  That's kind of where it's at. So, you know, maybe they're the fat middle and the later adopters, you know, they're probably not so much the early adopters, although some of the financial, you know, sector is going to be early adopters, so. As well, in certain use cases, yeah, it's useful. The other thing is Databricks. So Databricks has become more of a company that that's more, you know, they are providing all the tools, almost taking the Amazon way, suggesting, you know what, they showed, remember that they had the employee, their own employees collected data set and they showed them how to train an LLM. Basically, they're trying to showcase the same way that Amazon was doing, said, hey, you know, you can build a model with me. Why are you going somewhere else, right? Because at the end of the day- Wasn't that GPT washing by Databricks a little bit? Hey, in the next, yeah, actually, I wrote an article about that as well. We talked about that. So at the end of the day, if you're going to pick everything up and move to another cloud, if you have no need for me, then I'll just exist. So I'll show you how to do in mine. I mean, yes, that's valuable and I'll show you how to do with mine and then you stay with me, right? So, all right. Okay, so it's one thing to have MindShare, but to really get ROI, you got to have adoption and show real business value. So this next data aims to do just that. It plots the MindShare data that we showed earlier. That's that blue line and then the percent of those customers that are familiar with the AI platform, so they're aware of it, but those that have also evaluated the platform and they intend to use it or expand their existing usage. So it's a measure of adoption. Databricks has the highest adoption rate of 26% as I just defined, followed by Anaconda, then open AI at 13%. We can talk about that. Everyone is using chat GPT, you know, but personally, what about adoption in the enterprise? Then you see hugging face to your point, 13%. I mean, it's not off the charts, but it's still very solid, data robot, data IQ, data IQ in the low double digits and then the rest. Anything here, surprise you. What do you make of this? So pretty much all of them in that list that that's in line except the one, two and four, right? The first one Databricks, as we talked about, you know, they're trying to have companies stay with them and rather than going somewhere else. So I don't think Databricks will ever be in a business of providing AI tools. They are more of an AI platform. I will figure out a way to help you create models using my platform. That's the goal. And I think they are succeeding in that which your data shows. And the second one, Anaconda is a little bit surprising to me because Anaconda is not necessarily top of the mind for a lot of people to use it as an AI platform. I mean, it's a data-signed platform. It's a very good one at it. But as a AI platform, I'm not sure because it's missing a lot of components that are in place. And of course, hugging phases is there as I was telling you earlier. All right, let's close with just some final thoughts. Okay. You're thinking on this. So Enterprise AI is different. It was really the first point that we want to make here. IT, they're rigorous. They need guardrails. They're concerned about IP leakage. I'm concerned about IP leakage. They want super strong governance, privacy, security, transparency, explainability, bias controls, et cetera. These are hard things to do. And the second point here is most enterprises, they're not going to build AI rather they're going to buy it as embedded within their enterprise apps. It's Salesforce. We didn't talk about Oracle. We kind of skipped over Oracle, but they're embedding AI into everything. It's that AI powered infrastructure that could be physical infrastructure from whether it's Dell or HPE. They're infusing AI, but up the stack is really where you're going to touch it. Einstein's service now is going to be big in this. What do you think about those two points, Andy, that first of all, you've got to have more rigor in AI and it's going to be largely purchased through your application vendor embedded as opposed to I'm going to go build it. Yeah, so there are two schools of thought.  We talked about AI being increasing productivity. We talked about their email. When I'm writing an email, I got to do a short email, long email, or mid email, long email. I just have to choose that, then boom, it'll give you what you need. So that kind of productivity or coding efficiency, all those things, it did be built in as part of the applications to make the applications more efficient, right? So in that sense, if a vendor does it, one, probably the vendor takes the responsibility and liability for it, right? All of the issues that come with that. But if you were to do on your own, we talked about the governance, we talked about the security aspect of it. We talked about the ethical aspect of it. We talked about responsibility aspect of it. There are so many issues in there that CEOs need to be, CIOs need to be start thinking about. Matter of fact, in the last all of the advisory calls that I have for the last few months, I would say, beginning of this year, almost obviously, as you know, everyone is talking about chat GPT, how do I use it? How do I use chat GPT in my whatever I have? And am I liable for it if something were to happen? How do I reduce my risk more importantly, right? So when it comes down to it, if you're an enterprise, if you're going to use that, my recommendation would be, you start off with your business case first. Yes, there's so much of hype. Don't get caught in that. Start off with your business use case first. What is the problem you have? What do you want to solve? Work backwards to that. And once you've figured out the use case that's going to work, build all the rigor and governance and controls that we talked about onto it, then you'll have a good application. So I mean, I'm sort of basically putting forth the premise that it's going to be embedded. At the same time, I think a lot of companies will think, okay, we have this corpus of data. How can we apply AI to it? Most certainly they're going to be using open source tools and they're not going to be building AI tools themselves, but they're going to be using AI tools. But I can say I'm kind of contradicting what I said earlier. I can see specific use cases for companies searching documentation, would be an obvious thing. Again, theCUBE, we apply it to our corpus of data. Now we're doing that with again, open source tooling, certain APIs. But people, as I say, I was just trying to figure this out. I mean, the last time Andy came on breaking analysis in December 2022, we said, the premise was AI goes mainstream, but ROI remains elusive. And I think Andy, we got that right. ChatGPT is very intriguing and it's kicked off responses from all sorts of competitors. We're seeing AI washing everywhere. We've just talked about that. We've seen also Google's code red, IBM has responded, AWS, everybody's announcing AI. As well, everybody's thinking about, okay, how can I apply it to my own corpus of data? We're hearing a lot about, oh, we're not going to need BDRs anymore, of analysts who are building dashboards, they're going to disappear. Everyone's trying to figure out the ROI and the right business model. And it's pretty clear people see a path to better productivity with humans in the loop, but radical business models are not as clear. We're going to pave the cow path in search and ads and subscription license models that we know, but I think people should expect, you know, new radical business models to emerge. Imagine a disruptive, we were talking about an e-commerce model that goes after Amazon's massive warehouse infrastructure, which has been a competitive advantage. What if Google, Google enables better shopping and direct shipping from a manufacturer, more along the lines of what Ali Baba does and what about industry specific use cases and business models that could emerge? You know, something new is going to come out of this that's going to surprise a lot of people. You know, the kind of the iPhone moment. It's like, it's like ChatGPT was the new software iPhone and now it's like here, figure out how to apply it and everybody's scrambling to do so. I think in addition to ChatGPT and OpenAI, they're learning what to do with this. What are your thoughts? You're exactly right. Again, I don't know if it is fair to compare ChatGPT to iPhone because ChatGPT is a much bigger moment than iPhone moment, in my view. Wow, wow. Think about that for a second, right? I mean, I tend to agree. It's like bigger than the internet. It is. I can even go that far. It is very big. So the bottom line is this, just because you have a Swiss Army knife, as I say, if you got a hammer, don't go looking for the nail. Yes, all these capabilities are built in, but again, go back to your original point. What are the use cases? What are my problematic areas? Where am I inefficient? For example, in the IT operations area, I see that it's not necessarily ChatGPT, but again, a combination of AI and some of the ChatBots and ChatGPT equal enough that LLM models. There's a lot of applicable use cases, all of this AI ops companies, IT ops companies, service ticket companies, try to reduce that time or reduce the incidents. So your systems will be up and running all the time. People don't realize that. An incident can cost you upwards of millions of dollars for every hour it's down. So if you are able to efficiently manage that, manage your AI optimized infrastructure, you could be having your business running on all the time. So, let's see. So Andy, you should follow Andy on LinkedIn. I mean, you're constantly posting on LinkedIn. You do a lot of great research. You talk to a ton of people. So I want to thank you for coming in here. Really nice job today. Thank you, appreciate it. Thanks for having me. All right, that's a wrap folks. Many thanks to Andy Turai for his outstanding collaboration and input to today's episodes and he and I talk all the time. We brainstorm and he's just a great friend and a wonderful collaborator and super AI mind. I want to thank Alex Meyerson who's on production and manages the podcast, Ken Schiffman as well. Kristen Martin and Cheryl Knight, they helped get the word out on social media and in our newsletters and Rob Hoef is our editor-in-chief over at siliconangle.com. He does some great editing. Thank you. Remember, all these episodes are available as podcasts wherever you listen. Just search Breaking Analysis podcast. Publish each week on wikibon.com and siliconangle.com And don't forget to check out the cube.net for all our events and videos where the cube's going to be next. You want to get in touch, email me at david.balante at siliconangle.com or DM me at dbalante. You can comment, reach me on LinkedIn. Pitch me, love to hear ideas. If you got a good one, I'll respond. If not, don't take offense. We just, we get a lot of inbounds. Please do check out etr.ai. They got great survey data, the best I think in the enterprise tech business. This is Dave Vellante for theCUBE Insights, powered by ETR. Thanks for watching and we'll see you next time on Breaking Analysis.


Suspense. Radio's outstanding theatre of thrills brings you an hour, a full 60 minutes of suspense. Tonight starring Eddie Bracken and featuring William Conrad in Nightmare, based on the short story by William Irish, directed by Anton M. Leeder and produced by Robert Montgomery. Good night. You know, when you stop to think about it, one of the nicest things we say to one another is good night. A lot of thoughts are implied in those two words, and all of them are good. Actually, what we're saying is have a good night. May it bring you rest, may you sleep well, and if your sleep is invaded by dreams, may they be pleasant dreams. All good, well-intended thoughts bound up neatly into two brief words. Good night. And sleep itself is a condition that most of us welcome. Quite apart from the biological need it serves, we're grateful for the momentary escape, for being removed from reality, for the quiet, peaceful hours on the fringe of consciousness, and so most of us, most of the time, anticipate the night and sleep. Families and good friends regularly surrender each other to the gentle care of the night and call it a good thing. But in the blackest recesses of night, there can be terror. And the very night that offers you sleep may also offer the torment of dark dreams. Vivid, terrible, half-real dreams that grip you, plague you with horror through the night, and are reluctant to release you to the morning. Fear, panic, terror of such stuff are nightmares made.  And now with Nightmare, one of the best-known and most imaginative short stories of Cornel Woolrich, writing as William Irish, and with our star, Eddie Bracken, we again hope to keep you in... Suspense! What I could see was this beautiful face. This beautiful girl's face, like a white, luminous mask, swimming detachedly against unfolding darkness. There was no danger yet, but I wanted to get out of wherever this was. There was eight doors in the room with no free wall space between. I tried one, another, a third. They were the wrong ones. I couldn't get out. The white mask began to change its expression. Slowly it became evil, vindictive. It spoke, it snarled. There he is, right behind you, get him! He was just a black huddle, a dark, lumpy mask. It slowly uncoiled until it loomed before me upright. It came toward me, toward me, toward me with catalytic slumice. I wanted to turn and run in the minute, the half-minute, that's all there was left now. But I couldn't move. I couldn't lift a foot. I just waved back and forth as if my shoes were nailed to the floor. He came on, his outline still indistinct, like a lumpy clay image. I could see the arms come up from the sides and couldn't avoid them. They were like lobster claws. I could feel its breath on my face. I could feel the pressure of his hands on the side of my neck, rather than in front as if trying to break it, rather than strangle me. His thorns were digging into the straining cord right under my ears, piercing into the tenders black flesh right beside the jawbone, clawing at the merciless hands and tried one off at last. But it wrenched free of my restraint, trailing a nail scratch across my wrist, and climbed itself back where it had been, his arched body, then pulled at it and grabbed at it with the instinct of clutch of a drowning man. A button came off in my hand and I hung on to it. I don't know why, I just hung on to it. Is he dead? No. No, not yet. Finish it. Hurry. My hands passed him to protect myself, and something was put into one of them. She put it into my hand instead of his. I fixed my hand on a tight, lifted my arm and drove into him from the back, fell heavily and sprawled across me. It took almost a minute for me to push it away. Is it done? Did you kill him? I stood up. She saw me, but she disappeared as though swallowed by a shroud. I hurried, I heard a door closed and turned to see which one she'd used to get out, that I might remember and find my way out, but I was too late. When I turned, she was gone and all the doors looked alike again. I was alone with the dead body, the core of my fear lay sprawled on the floor. I had to hide it, had to shut it away. I tried the doors one by one till one of them opened. It was a closet, a shallow closet, but enough to hold the body. I dragged it across the floor. I shut the door of the closet, pressing it tight in to keep the terror that the body still held away from me. Below the knob I found a key, a strange key shaped like a three-leaf clover. I turned it, heard the lock click into place, then put the key into my pocket. But I couldn't keep my eyes away from the knob. It was turning slowly to the right and then to the left. And as it turned, it made a ringing noise. A ringing noise. A ringing. The phone. Hello. What? Who is this? Oh, little look, I'll phone you later when I'm awake, okay? Oh, sure, bye. Bye. It was a dream. It was all a dream. Dead bodies, beautiful women. How Freudian can you get? Must have been that salami I had last night. Never read salami before going to bed. Eleventh commandment. Fourteen minutes after that means I still have time to... I stood staring stupidly at my wrist. There was a deep scratch on my wrist. For a minute I was startled and I realized what must have happened. I scratched myself and my sleep and the details ended into my dream. Yeah, that's what must have happened. I dropped my watch and it was broken, but it didn't matter. It was a cheap one. I continued dressing. I chose a blue tie, threw up the collar, drew the tie-lane through and folded it again. Part of my mind was getting ready to get frightened, but I held onto it steady like I held the collar. In the mirror I could see them. The bruises on my throat, brownish purple marks, which hadn't been there when I went to bed the night before. It took me a moment to realize, to try to reason it out. I must have done this to myself too, crossing my arms over my chest and attempting to strangle myself and my sleep. It didn't make much sense, but it was the best I could do. I decided not to think anything more about it and continued dressing. When I had my jacket on, I put my hand in my change pocket and took what was in it to check car fare and lunch money. A button mixed in with a change. A button that didn't belong to any suit or coat I owned. I closed my hand over it and I had the feel, the shape. There was no doubt about it in my mind. It was the button from the dream. I rushed to the closet, checked every last thing I had. The button matched nothing. It wasn't from anything of mine. It didn't belong anywhere. I couldn't kid myself anymore. People don't find buttons and dreams. I decided I needed a cup of coffee. I was getting the jitters. I slipped into my top coat and opened the door. Then before I shut it, I checked to make sure I had my key. The key I took out of my pocket wasn't my key. It was shaped like a three leaf clover. My knees were weak. My stomach was quivering. But I couldn't go back into the room. I had to see people, hear cars in the streets. It didn't help. All was real. Nothing was wrong. It was me. Something in me. I ducked into a drugstore. But I couldn't eat. Instead I went to the phone booth and called my sister Lil. Hello? Hello, hello Lil. Vince. Are you awake now? Yes. Is Cliff at home? No. Are you expecting him back? I'm quiet. Then he won't be back until tonight. Did you bring him back? Sorry I bothered you, Lil. I just wanted to talk to Cliff. Dinner? Well, sure. No thanks. I don't think so. Goodbye. I called the store and told them I was sick. Then I walked all day in the sunshine. Wherever the sun was brightest, I sawed and stayed in that place. And when it moved, I moved with it. I couldn't get it bright enough or strong enough. Yet it didn't seem to warm me. At about six o'clock I found myself in front of Cliff's house. The lights were on inside and I could see Cliff. No. It was Lil moving around, setting the table, preparing dinner. That meant Cliff wasn't home yet. I waited outside. Well, what's the matter, kid? Are you afraid to ring the bell? Oh, Cliff, I didn't hear you coming. Well, are we going out or are we going to stay out here? I'm hungry. Cliff, I got to talk to you. Something crazy happened to me. Well, can I wait an hour? I've had a long, hard day at the office. Is that you, Cliff? Yeah, honey. Well, I thought I heard you talking. Is someone with you? No, Vince. Oh, you said you weren't coming, Vince. Well, I... Oh, never mind. The chickens will do for three. Come on in. Well, that's Lil and there's nothing you can do about it. I hadn't eaten all day and I hardly touched the food she served. I couldn't wait to get Cliff alone and tell him what happened. The detective should be able to help me. Just finish up the dishes and then I'll be back. Get your hat, Cliff. What? I've got to talk to you alone. Oh, sure, kid. Um, Lil, Vince and I are going to stretch our legs. Be back in a couple of minutes. No, Cliff, only bear. Okay, okay. There was the button, the same shape and size and everything. It was in my trouser pocket with my change. It's on the dresser back in my own room now. If you want to come over, you can see it for yourself. And last of all, the key turned up on me next to my own keys in the pocket where I always keep it. Here. This is the key, huh? Yes, that's the way it looked. When I saw it when I was asleep, the same shape, the same color, the same design, it even weighed the same. Hey, hey, hey.  I don't take it that way. Kid, don't let it get you. Cliff, you've got to help me. I'm walking on a high wire and there's no net. Where'd you get this key from, Vince?  But you don't understand. That's what I've been trying to tell you. I didn't have it before I dreamed about it. I never saw it before then. Then I wake up and it turns real. That goes for the button, too? The button, too.  What's really got you going? Did the dream really happen?  There's a door somewhere in this city right at this very minute that this key belongs to. There's a man propped up dead behind it. I don't know where. I don't know where, no who he is. How or why it happened. Only that I... I must have been there. I must have done it. Oh, why? Why would it come to my mind like that in my sleep? Why? That way I could say, how about a little drink, huh? Lil or no Lil. Waiter. Only coffee. Huh? Yes, sir. Waiter, two coffees. Two coffees, yes, sir. When the coffee came, Cliff started questioning me. And the man, the fellow, whoever he was. No, I couldn't seem to see his face through the whole thing. I only saw it at the very end after it was already too late. And then when the door started to open again, after I locked him in and it seemed as though I was gonna find out something horrible about him, I guess. But I woke up before there was time. Uh-huh.    Ever seen one in a magazine illustration and a story you've read in a movie? No, no. Well, let's get away from the dream for a minute. Let's leave it alone. Starting to get me too. Now, what did you do last night before this whole thing came up? Nothing. Just what I do every night. I left the store at the usual time, had my meal at the usual place. Oh, you're sure it wasn't something you ate? No food is responsible for that key. You can't create a thing like that from a dream. And I didn't have it when I went to bed last night. Cliff didn't lose his temper right away. He's a good detective and a good guy. Listen, Vince, there's no halfway business about these things. It's either one thing or the other. Either you dream a thing or you don't dream it. It really happens.  You're not a kid. Now, don't worry. You'd know it and you'd remember it plenty plain afterwards if you ever came to grips with a guy and he had you by the throat like in his dream and you rammed something in his back. I don't take any stock in this stuff about people walking in this sleet and doing things without knowing it. They can walk a little ways from the bed, maybe, but the minute anybody touches him, it does anything to stop them. They wake right up. They can't be manhandled and go right on sleeping through it. I never walked in my sleep. You can ask Lil, if you think... Oh, right. Now, do you have any recollection at all, no matter how faint of being out of your room last night of grappling with a guy or ramming something into him? No. All I have is a perfectly clear recollection of going to bed, dreaming that I did all these things and then waking up again. Okay, then that's all there is to it. Man, it didn't happen. You're either dreaming or you're doing. There's no two ways about it. Don't say anything a little about it. Will you, Cliff? Yeah, I should say not. I wanted to take you for bugs. Hey, you'll get over it, Vince. First, I'll get to the bottom of it and then I'll get over it. Cliff, are you gonna help me? What do you want me to do?  You got the key and the buttons over in my room. You must have often had less to work with. Find out where they came from. Find out what they're doing on me. Now, listen, cut that stuff out. You hear? I don't want to hear any more about the key. I got it and I'm keeping it and you're not gonna see it again. And if you hop on this spooky stuff anymore, I'll help you all right, right into the nearest sanitarium. I was on my own, just like before I had been there. Me and my shadows. Next day I phoned the store and told them I still wasn't feeling when and then, well, I stopped in at a newspaper advertising bureau and composed an ad. Classified? Yes, real estate. Is this the entire copy? Uh-huh. Check it with me, see if it's correct, please. Wanted, I am interested in inspecting with a view toward leasing or buying a house with an octagonal, mirror-paneled room or alcove, period. Location, size, and all other details of secondary importance, provided it has this one essential feature, desired for reasons of a sentimental nature, period. Communicate Boxell World Express giving exact details, period. Is that everything you want to say, sir? Yes, I believe so. How long you want it to run? A week. Should hear something in that time, shouldn't I? Should. Lady once advertised for an alligator that answered to the name of Lulu and she got it in four days. I guess alligators answering to the name of Lulu are more plentiful than houses with octagonal, mirrored, paneled rooms. I got some answers, but none of them are right. None of the houses fit the scene of the dream. The next day, Sunday, I was in my room. Hiya, kid. Hello, Cliff. What are you dressed for? Well, matter of fact, Lil and I are gonna take her right out into the country for the day and she packed a lunch for three. Cold beer, ham and turkey sandwiches. Listen, I'm all right. I don't need fresh air joints to get rid of the devils if that's the strategy you're planning. No, kid. You see, I got this new second-hand Chevy in exchange for my old second-hand Chevy and I thought that maybe you'd like it. In the end, I decided to go with them on their picnic. Cliff was right. There was no point sitting around brooding and waiting for something to happen. I might as well forget it for a few hours, if I could. After our picnic lunch, I was almost beginning to relax. Have another sandwich, Cliff? Oh, why? I'll think of a reason later. You have just talked me into it, my dear. Just toss it over, all right? How about you, Vince? If I had another sandwich, Lil, I'd never be able to move another muscle. Where are we, anyhow? I don't know. Ask the pilot. He got us here. So, help me. I was flying blind. Well, here's a weather report. Just came in, friends. Rain and soon. Well, how soon do you think, then? Right now. Come on. Get the stuff into the car. Oh, I'm getting some. Vince, you take the blanket. I got the baskets, huh? No. Hurry up and we'll float back to town. It frightens me. If you can't find your way back to the main road, can't you turn in somewhere and stop a while? Well, I'm sorry, Lil. It's hard to see through the rain. Well, if you spot a house or a barn, please turn in. I'm scared. Of course, honey. Yeah, if only I had some idea where we are. I can't see 10 feet ahead in this stuff. There's a cut-off a little ways ahead. Around the next turn, if you take it, it'll lead us to a house with a big, wide porch. We can get in under there. Well, how did you know that? Were you ever up around here these parts before? No. Well, then how did you... I don't know. Well, let's concentrate on driving instead of conversation. Have you seen any road signs? No, Cliff. Not a thing, yeah. Are you getting us more tangled up than we already were, Vince? No. Don't stop. Keep going. He'll come to it. Two big stone lanterns. Turn the car left between them. I don't know how I knew that myself. Oh, there they are. There they are. Well, turn, Cliff, like he told you. Yeah. Through the trees. There's a house back there. Oh, Vince was right. Oh, well, I'd be glad to get out of this storm. I'll stop as close to the entrance as possible there. All right, honey. Dry here, but I wish we could get in and away from that lightning. I'll try the doorbell, Cliff. Okay. Well, no one seems to answer. There's a key under the window box with the geranium. Well, he's kidding, but look anyway, Cliff. Okay. That's what it is. I'll put on this light so we can see where we're going. Not that switch. That's the one to the porch. The one that controls the hole is on the other side. He's right. Well, what is this, a rib? How do you know so much about this place anyway, Vince? Oh, just a lucky guess on his pun. Good afternoon. Cliff. Anybody home? Don't do that. He's cold, Cliff. He's shaking. Yeah. I was shaking. Do you see him? And I was closed. He's acting so nervous. But I was dripping with perspiration. I didn't know what made me say those things about the road and the key and the light switches, but they came out as though I had been here before. I was scared. Wait for the summer, I guess, but it's funny they'd leave it on lock like that. The electricity's still unconnected.  We shouldn't get in trouble walking in like this. Well, as long as we're here, I don't think anybody would mind if we made some coffee. I'd love some. How about you, Cliff? Sure. Go ahead.  Lil went into the kitchen and I began to wander around nervously. I found a bedroom and then a two-entrance bath. I went out by the second entrance and I was in another bedroom. Through the doorway, across the room, I could see myself. My face was whiter than my shirt and my body was quivering. I shifted, came closer, dying a little, wavering as I advanced. Two of me, three, four, five, six, seven. I was across the threshold now and the door brought around from its position flat against the outside wall, pulled in after me, flashed the eighth image of myself on its mirror-backed surface of myself and Cliff. No! What's the matter, Vince? Cliff, this is the place. This is the place. Yeah.  Have you got it? I got it. Try this one first. It's a fake. What are you doing up there? Keep it downstairs a minute. Don't come up, honey. Vince is taking his pants off to dry them. It's a safe cut open. That's what he was crouched before that night when he seemed to be just like a puddle on the floor. He must have had a blow torch down there on the floor in front of him. That's what made the bluish light and made her face stand out in the reflection. Like... like a mask. And that door that you haven't opened yet, it's the one I propped him up in. No, don't. Not right away. Just give me a minute longer. Just give me a chance to get... Cut it out! There's blood on the back wall and the floor. Dry cake blood. Cliff! Vince, let's hear about another dream. In tonight's full hour of suspense, Eddie Bracken appears as Vince in Nightmare by William Irish. Tonight's study in suspense. In just a moment, we will return with Act Two of Suspense. This is CBS, the Columbia Broadcasting System. And now, back to our Hollywood soundstage and to our producer, Mr. Robert Montgomery for Act Two of Nightmare, soaring Eddie Bracken in a narrative well calculated to keep you in suspense. It had all belonged to Vince until now. A wild dream heightened by young imagination. It was his alone. Awful as it was, it all belonged to him. But he had shared his Nightmare with Cliff, and Cliff is a detective. He'd never once believed Vince. He told him he was cock-eyed that it couldn't be true. But there they are, the two of them, in a deserted house with which Vince seems quite familiar, although he swears he's never been there. And they face each other in a room paneled with eight mirrors, just like the room in Vince's Nightmare. I don't know what Cliff would have done up there in the mirrored alcove, but I blessed my sister when she called us down for coffee. Cliff and I went through the motions of eating with Lil, and then waited tensely until she dozed off in the living room, the excitement of this dorm.  He gave me a look that belonged in a police station basement and lit a cigarette. He didn't offer me one. Policemen don't with their suspects. He bounced the match down, and he shoved his hands deep in his pockets. Now make it short and make it quick and leave Freud out of it. You think I lied, don't you? You knew which cut-off to take that would get us here from a dream, didn't you? You knew where the key to the front door was cashed from a dream. You knew which was the front porch switch and which was the hall from a dream. Well, you know what I'd do to you if you weren't Lil's brother.  You came to me for help, didn't you?  I can respect a guy no matter what he's done if he'll own up to it, make a clean breast of it. I can even understand to make allowances for a guy that'll deny it, flatly lie about it. That's only human nature.  Well, I've got no use for him. He's low and lousy and no good. Look, I found this key in my pocket when I got up this morning. How did it get there? Look, I found this button. Well, some dream, wasn't it, all right? Well, the dream's over and baby's awake now. And we're gonna start in from scratch, right here in this place, you and me, and I'm gonna get the facts out of you, whether they go any further than me or not, that's my business. But at least I'm gonna get them. Don't hit me, Cliff. Please. Now, what were you doing in that place? Huh? What brought you here? I was never here before. I never sought until I came here today with you and Lell. Who was the guy you did it to? What was his name? I don't know. I tell you. I don't know. Are you gonna answer me, Vince? Are you gonna answer me? I can't. You're asking me things. I can't. Answer me when I ask you a question. I can't. I don't know. I don't know. You're not gonna get away with this, kid. I've handled Closemouth guys before, and I... Use this gun much, but I know what to do with it. Who are you? What you two doing in here? We came in out of the rain. Is that suture? Might. Might not. Identify yourselves and hurry up about it. Look inside the wallet. Where are you going? For a drink of water. Left tap. Right one's hot water. Thanks. Cliff, Dodge, Homicide Squad. Glad to know you, Dodge. About a little identifying yourself. Well, I'm a deputy attached to the sheriff's office. Detailed to keep eye on this place. See my badge? I was to home having a little supper, and... Hey, how'd you get in? Thought I had it all locked up safe and sound. The key was better than a flower box on the porch. Twice, huh? Must be a spare then. Funny. We never knew there was a second one ourselves. Why should this house be your particular concern? Was a murder uncovered in it last week. There was? Well, I'd like to hear about it. All about it. We all sat down. I saw the deputy was enjoying this talking shop with a big city detective. Cliff listened while he kept an eye on me. Well, this house belonged to a wealthy couple named Fleming. Husband was away on business in South America when it happened. In fact, we ain't been able to reach him to notify him yet. Wife was a pretty little thing. Was? Yep, real pretty. Flirty, too. Used to fool around with a friend of her husband's named Dan Ayers. Well, that morning, the milkman saw a bundle of rags by the side of the road not far from here. It was little Miss Fleming, all covered with dew and leaves and twigs. Dead? Diane. She must have dragged herself along the ground for hours too weak to yell for help. Milkman took at the hospital. Both legs broken, skull fracture, internal injuries. Oh, no. Hey, kind of gets this young fella, don't it? Stuff's new to him, guess. What was it? Who did it to the woman? Dan Ayers' car. We found it with blood and hairs on the tires and fenders, banding under some trees. At the same time, Wagoner, that's my chief, he found the safe in this house busted and looted. It's in an eight-sided mirrored room. They got on the floor above. I'll take you up and show you afterwards. Cut it off, Vince. Why don't he go outside if this gets him? I want him in here with us. He should get used to this. Well, suit yourself. Well, finding that safe, give us a case. Ayers knew Fleming kept lots of dough in that safe. Knew he went away on business trips. This last time, Ayers come up here, went to work on the safe and got caught by Mrs. Fleming. She takes one look and starts running for town to get help. Why didn't she use the telephone? Cause this warrant no simple robbery.  He comes down, gets into his car, catches up with her and runs her down, drives right over. He thinks she's dead and takes off. Or say he drove the car right over us. I don't know how to drive. I don't know how to drive. Cliff knew it too. His expression changed. And he pushed his pack of cigarettes over to me. Uh, have a smoke, kid. It'll do you good. Thanks. Well, we sent out a general alarm for Ayers, but at five that afternoon, Mrs. Fleming regained consciousness for a short time. Wagner, my chief, was there, and he heard her say, is Dan all right he didn't kill Dan, did he? Well, that was enough to send us hotfooting right back to the house and we found Ayers dead body. No. Dan stabbed in the back with some kind of a drill. Dead since the night before. Mrs. Fleming died about eight that evening. There went our case. Did you get anything on the real killer? Well, practically everything, but the guy himself. She was right in the alcove when it happened. Saw the killer by the torchlight and lasted long enough to give us a complete description. All adobe is over at my chief's office. Well, let's go over there. Give her the one silver. Come on, Vince, you two. I'll leave a note for Lil. Look, Cliff, I... I know this is out of your line, but you'd better come anyhow. Hello, Mr. Dodge. You too, Mr. Hardy. I'm interested in hearing the description of the killer. Well, it's pretty complete. I got it for Mrs. Fleming. Here's a transcription. My whole interview with her at the hospital had a stenographer take it down into bedside. He was one of those efficient young sheriffs and they droned on and on. My clothes became drenched with perspiration and my stomach was quivering again. See you there, buddy. Well, here's what you want, Dodge. Killer was about 25 and skinny. Cheekbones stood out, cash-shatters in the torchlight as they wavered on his face. They must be looking at me. I covered my cheeks with my hands and stared down at the floor. My face was burning under my fingers. And light brown hair. She even remembered that it was parted low on the left side. Take a woman to notice a thing like that even at such a moment.  My hand went up a little higher and brushed mine back. It only fell down again like it always did. His eyes were fixed and glassy as though he was mentally unbalanced. He had on a knitted sweater. It was darned up in the neckline in a different colored yarn. Little made it for me. And I'd burned it with a cigarette. She fixed it up the best way she could and Clef knew about it. Took us hours to get, but that's it. You got pictures of Mrs. Fleming and theirs? Death photographs. Care to see them? Yeah, let's have a look. I got weaker and dizzy as they handed the pictures around. I didn't look at them, but I saw Clef distract the other men's attention long enough to slip them on top of the file case. Next thing I knew we were getting ready to put the lights out and leave. Coming, Vince. Aren't you folks back to the house? It's all my way home. Well, Sheriff, thank you very much for... Oh, say, Vince, run back a minute and see if I left my cigarettes in Mr. Wagner's office, huh? Sure. Sheriff, I want you and the deputy to look me up at least. His voice dwindled behind me. And I was in the darkened office again alone. I knew what I'd been sent back for. He wanted me to see those pictures. I switched on the lights. They run the file case. I took them in my hands and I stared at them. Those are pictures? Uh, he's not well. He's under treatment by a doctor right now. He gets these dizzy spells now, and then that's all it is. There you are, kid. Drink this water. Yes.  You'll be all right. I'm sorry for all the trouble we've caused. Perfectly all right. Come back any time. That was a place I never wanted to go back to. Clef and I didn't say much as the deputy drove us to the house. We picked up Lil and started back to town. I think you've got a nerve, Clef. We couldn't talk them either. Because Lil was blazing, saw it, Clef, leaving her alone, laced into it. And I think for once he was grateful. Kept him from thinking too steadily about me. She only quit when we were near my place and she saw me holding my head. What's the matter, Vince? Don't you feel well? The outing was a little bit too strenuous for him. I wonder the way you drive. Yeah? Well, I got us here, didn't I? Great. I'll see what I can do about having you decorated for it. I'll go up with Vince a minute. No, it's all right. I'm feeling... I'm coming up with you, Vince. He closed the door to my room behind us and then turned to me. He spoke low and very undramatically. No fireworks. Lil's waiting downstairs. I'm going to take her home first before I do anything. It's bad enough what this is going to do to her when she finds out. I'm going to see she gets at least one good night's sleep before she does. Clef. Clef. Run out. That's the best thing you can do. Meet your finish on the hook somewhere else where your sister and I don't have to see it happen.  I don't have to ask you if you kill those two people. You fainted dead on the floor when you saw their pictures.  I'll turn in my information at my own precinct house and they can pass it on to Wagner. Then I'll hand over my own badge in the morning. Clef, you frightened. Killers always are. Afterwards, don't forget you got a half hour. I didn't move for about half the time he'd given me. Then my hand went to my cheek as it had in the sheriff's office and my face felt bristly. Without thinking, I went into the bathroom and turned on the warm water tap. I took my cream and blade holder from the cabinet. Not a sheer reflex of habit. And I realized I didn't need the cream and the holder and I put them back. I took the racer in my hand.  I tried to keep very quiet so I think I'd land and go away. Go away. I could barely stand up. Open the door, Betzer. I'll shoot the lock away.  And then I had no strength left. Vince. You could have saved yourself a trip back. They didn't keep me at the hospital. Just took stitches in my wrist and told me to go home and take it easy for a while. I hadn't been able to do even that right. It was four in the morning when we got back to my room. Clef stood over me while I undressed and I got into bed. Now remember just take it easy. What about the arrest? Post-boned? Canceled. I gave you your chance to run out and you didn't take it. As a matter of fact, I sent a little home alone. I'd been downstairs watching the street door the whole time. When a guy's willing to let the life run out of his veins, there must be something to his story.  I think you've been telling the truth to the best of your knowledge. I'm tired. Licked. I don't even want to talk about it anymore. Well, I think I better stick with you tonight anyway. It's all right. I won't try it again. There's blood on the floor. You sure picked a messy way. I did think of gas that the hotel doesn't have. If more houses had no gas, there'd be fewer. I'm not sure. All the modern conveniences. But electricity is undependable too. Lights go out. Happened to a fella in the next room one night. And he had to use a candle. It was the same night that I had the dream. How did you know he had to use a candle? Were you in there at the time?  I wanted to know if the power had failed all over.  Can you do that? Can you tell by the hall? All lights go out at 11.30. I guess it was after that. That's still no reason why you should bust in on you. Look, I'd like to hear the rest of this. The rest? I told you all the rest too. That's what you think. Just watch what I can get out of it. He wouldn't let me go to sleep. I had to tell him about the man next door who moved in a week or so before the night of the dream. That particular night I had been reading in bed. And as I put down the lights and about ready to doze off, he knocked. Come in.  And in the darkness I had to stare at the candlelight and his eyes behind it. He explained about the lights and he... Please excuse me for intruding. You must be tired. Very tired. You look so sleepy. No, I know. You want to sleep. I shouldn't have come. You can sleep now. Sleep well.  You look so tired. That's all there was to it. He left and I went to sleep.  Well, I suppose so. I don't mean suppose.  Think about it, kid. This is important. I don't remember. Did you ever have any conversation with him other than hello and goodbye?  But once going down in the elevator, he absolutely insisted that I take one. So I did. Testing will power. Never mind. I don't want to frighten you right now. Look, you get some sleep, kid. You're a week after what you tried to do tonight. Where are you going? I thought you were staying here tonight. I'm going back to the Fleming House and do Wagner's headquarters too while I'm at it. You're going all the way back up there at this hour of the morning? And, uh, Vince, don't give up yet. We'll find a way out without shortcuts like you tried tonight. I didn't wake until noon, but I didn't dare leave the room for a cup of coffee. I didn't want to miss Cliff when he got back. About two there was a knock on the door and I almost fell over in my rush to open it. Cliff, I... Excuse me, I... Say, are you Vincent Hardy? Yes. Well, I think I got what you want. What I want? Yeah, my Uncle Henry built it. He was crazy. It's got a room with eight sides. I'm terribly sorry, but I'm not in the market for that house any longer. You ain't? No.  He would have liked you. Well, goodbye. Cliff finally showed up around three. It was terrible. He hadn't slept all night. He showed me a picture he'd brought. You know this guy, Vince? This guy? Well, the glasses are missing and the mustache and the hair isn't rumpled. But Cliff... Yeah? This is the guy from next door. Where'd you get this picture? From Wagner. It's Mrs. Fleming's husband. They're both the same fellow? Right. I'm a great kid. I checked the fingerprints Wagner got there, yours.  No. But you didn't kill Dorothy Fleming because you can't drive. Somebody else did that in Ayers' car. Somebody who brought you up there and was waiting for you at a safe distance. But why didn't I know I was doing? Well, that'll come later. What we have to do now is prove that the circumstance of the drink could have happened. Get it done on record officially. Well, what are you... I think it's better if you don't know too much. A telegram address to Mrs. Fleming was received from her husband while I was up there. He's arriving back from South America today. Where are we going? Where is the place you would least rather go of all places right now? That... that room. That house. I'm sorry, kid, but that's the place I'd like to go and stay in alone tonight. If you ever want to get out from under the shadows again. I don't know what do you say? Shall we make the try? I'd been sitting on the floor outside the mirrored alcove to rest. When I heard him come in, he didn't come right up. I suppose he stopped to put his things away. Then I heard him tap the keys of the piano downstairs. He heard his footsteps coming and I pushed myself backwards along the floor into the alcove. My heart was pounding so hard I had to keep my mouth open. He was in the bedroom opening suitcases looking for things. I pushed myself into the closet where the body had been. And in a moment he walked into the alcove and put on the lights. I could see him through the keyhole as he walked past the door. Then he stood still turning to go. This was the time. Now. I held the gun tight and pushed the door open soundlessly. He heard me as I stepped into the room and whirled around. I wanted to yell at the top of my lungs at him. But I kept my lips together. Cliff had drilled me carefully on how I should act, what I should say. He'd particularly warned me to make Fleming talk first. How did you get here? You showed me the way, didn't you? You... You remembered coming here? You didn't think I would, did you? You couldn't have. Then how did I come back again? You explain it. How long have you been in here, like... like this? Since after dark, I got in before you came home. What'd you bring with you? Nobody. Just this, a .44 automatic. That's all the company I wanted with you. Exactly how much do you remember? Much more than you think. You remember the drive-up? You couldn't have. I told you to remember it only as a dream. You had the look. What look? I was holding a thumbtack pressed into the palm of each hand the whole way. Then why did you do everything that you were directed to do so passively? I thought there might be something in it for me later, if anyone went to all that trouble. You purposely faked? I can't believe it. You didn't even draw back. Show a sign. I let you out of the car. Put the knife in your hand. Said you on towards the house. Told you how to get in, what to do? You mean you went ahead unconsciously? Sure, I figured you'd pay me off afterwards. Or went wrong in sight. Well, I accidentally dropped the knife you gave me. Ayers jumped me in the alcove. In the darkness, your wife put a drill into my hand instead of his. And I killed him in self-defense. Yes. And she ran out. I had to go after her and stop her myself. I got her with Ayers' car. She never even saw me. That's what I wanted to know.  You must have known. No, I tricked you. You had me hypnotized that night all right. But you've just convicted yourself out of your own mouth to me. I don't want to be paid off. You pick someone with a weak willpower to be but strong scruples. I was an honest man.  I can't clear myself in the eyes of the law ever. But you're going to pay for doing that to me now, this way. Wait. Don't do that. That won't help you any. You shouldn't have left me alone. That was your mistake. Here you go, Fleming. Wait. Wait one minute more. Just a minute. Now look. Look at me.  Clifford warned me to be careful, but I wasn't careful enough. I couldn't seem to help myself. I just glanced at him. His eyes met and suddenly mine couldn't get away anymore as though they were hit by glue. A sort of torpor turned me into wax. But I made an effort to do one more thing. It came out as a single sentence. Fleming?  You're tired. You don't want to shoot anybody. You're tired. The gun's too heavy for you. Why do you want to hold that heavy thing? That's right. You're tired. All right. This will stand up in any court. There's enough evidence on this wire recorded to send Fleming to the electric chair. Listen. Listen. What's all that mumbling? I can't quite make out what this... We'd better get up there. Come on. Fleming must be trying to do... Holy smokes, he's getting away. Come on! There are pencil and paper in the glove compartment. Take them out. Good.  Start. I am wanted for the murder of those two people at the Fleming house. It's bound to get me sooner or later. And I have no chance. I see no other way but this. Now, sign your name. Vincent Hardy. Get out of the car quickly and take the chain attached to that anchor. Over there. On your right. Over there. Go ahead. I'll tie it around your stomach and legs and pick up the anchor. Yes, that's it. Carry it in your hand. Walk to the end of the dock. I knew what I was doing was wrong. I fought against it as hard as I could. And when I got to the end of the dock, I just threw the anchor into the lake and my body went numb. You got Fleming? Fleming's dead, Mr. Dodge. The car hit a tree and folded up like an accordion. What if Vince would be gone too if I dosed another minute in that cellar? I don't feel bad. You did all right by the boy. You went in after him like a veteran lifeguard. Say, if you can take care of him, Mr. Dodge, I want to get these recordings into my safe at the office and send some boys out to pick up Fleming in that car. Yeah, sure. Go ahead, Sheriff. Vince will be all right. What's he telling the truth, Cliff? Yeah. Fleming used to be a vaudeville hypnotist. Tried using his old act to get rid of heirs and his own wife. That you'll be cleared because we have proof that you were not responsible for your acts while under the hypnosis. Thanks, Cliff. That you'll have to appear in court and stand charges. I will.  I'll be standing there next to you the whole time. Come on now, let's go. This is Robert Montgomery. Our congratulations and thanks to Eddie Bracken and William Conrad for two fine performances in Nightmare. Next week for Suspense, we treat the subject of weather in a locale that is famous and infamous for its weather, England. And in order to do justice to the ill-famed atmospheric conditions which often shroud this island, we shall present an hour of suspense divided into two separate half-hour dramas, two select studies with two elements in common, dramatic weather and dramatic suspense. Taken one at a time, these plays are singular triumphs. Put them together and, well, I can promise you a deadly combination next week when with Wet Saturday by John Collier and August Heat by W.F. Harvey we again hope to keep you in suspense. Good night. Mr. Montgomery may currently be seen in the Universal International Production Ride the Pink Horse. Mr. Bracken will soon be seen in his forthcoming production, 750 Smith. Nightmare by William Irish was adapted for radio by Alfred Pauka directed by Anton M. Leeder and produced by Robert Montgomery. Lud Gloskin is our musical director and conductor and Lucian Marowak composes the original scores. Next week, here too great shows, Wet Saturday and August Heat on Radio's Outstanding Theatre of Thrills, one hour of... Suspense! C.B.S.