Hello and welcome to Senseimals' presentation session on how to build smarter IoT products faster using Senseimals Analytics Toolkit and ST Sensor Tile Box IoT Evaluation Kit. My name is Chris Rogers and I'm CEO of Senseimal. In this session, we will provide an overview of new AI tools and methods that transform the process of building smart sensor algorithms requiring a fraction of the time, cost, and expertise traditionally required. We will step through an example application showing the process start to finish, highlighting advantages, and best fit applications for new AI development tools targeting the smallest of computing devices at the IoT Edge. Before we get started, I would like to provide a bit of background on who is Senseimal and our history, expertise, and experience in AI development tools for the IoT Edge. Senseimal is focused on delivering innovative AI tools to the IoT developer community enabling automated code generation for complex sensor algorithms. Specifically, we focus on algorithms designed to run on the smallest low power cores that can adapt and learn with use. As powerful new microcontrollers, low cost mem sensors, and 5G communications usher in the next big wave of AI at the Edge, sophisticated new tools like Senseimal will be key to harnessing this technology and thus instrumental to IoT innovators as they build and launch new AI driven intelligence and IoT devices. Senseimal traces its start to 2012 as an intact software tools team within Intel Corporation. At that time, the Senseimal founders were tasked to deliver groundbreaking AI tools for Intel's Curie and Quark SE microcontroller platforms. That tool, known as Intel Knowledge Builder Toolkit, was received with much anticipation amongst the wearable developer community when launched in 2016. By mid-2017, Intel elected to shut down its wearable computing division setting the stage for Senseimal as a spin off and independent software vendor. From that point forward, Senseimal has worked to expand its support and partner ecosystem choosing to partner with market leading hardware vendors such as ST and to bring complete solutions to customers for rapid prototyping and development of smart IoT products. With that, let's get into the actual process of building smart IoT sensor products. There are essentially four options available to a developer. The first are cloud-based AI frameworks where raw IoT sensor data is shipped to cloud servers for processing and insight. Second are the class of solutions focused on providing deep learning at the Edge with specialized Edge machine learning accelerators for neural network models. The time-tested route is hand-coded algorithms relying on the wisdom and efforts of data scientists, signal processing experts, and embedded developers to devise and optimize algorithms in a manual coding environment. And lastly, and the focus for most of our discussion, is a new class of AI tools that brings machine learning automation to the smallest of computing nodes, also known collectively as TinyML. Let's start with the first of these, the cloud-based AI frameworks. You might know these by some of the familiar open-source platforms such as Google TensorFlow and Apache Spark, among others. Such platforms were conceived to address big data applications like web search, financial fraud detection, and marketing analytics. In the context of IoT sensor processing, such systems are adequate in some cases but problematic in others. For instance, remote sensing applications may be constrained by network performance well below that needed to convey vital high bandwidth sensor information needed for a given application. Consider a remote oil and gas or renewable energy field site and its mini-process monitoring and predictive maintenance sensors. Here, pre-processing of rich sensor data at the Edge can greatly reduce the network performance needs as only the insights of interest need be relayed to the cloud for aggregation with other similar endpoints and decision-making. Latency and tolerant applications are another example where cloud AI doesn't fit well. Elderly fall detection devices need real-time response to work as do many other real-time applications where round-trip time for remote AI processing is just not practical. Next are mission-critical applications that simply must work irrespective of network outages. With remote cloud processing of local IoT data, the application only works to the extent of the weakest link in the network path from the IoT endpoint to the data center. Finally, data security and privacy are often factors driving a push for AI processing to the Edge, whether this is critical infrastructure sensor data or privacy concerns as seen with home smart hubs. A partitioning of local AI versus cloud AI often points to the need for Edge or hybrid cloud Edge architectures. Next on our list are the recent introduction of purpose-built AI Edge platforms for deep learning. Narrowly, all of these have been developed from the outset for addressing image classification and vision recognition problems. As such, they are exciting advances to be sure, but the compute requirements for real-time full-frame-rate vision recognition necessarily drive multi-core processor and GPU solutions with power consumption profiles measured in watts, not microwatts. For a great many smart IoT device applications, the cost and power consumption of such solutions are prohibitive. A remote livestock wearable sensor and industrial predictive maintenance monitor for a hard-to-access motor needs to have battery power for practicality with battery life measured in months or years, not hours or days. Thus, the generalization and takeaway is that in many such applications, not only is the hardware inappropriate, but the systems designed for deep learning and neural network inference models built with vision and image in mind are simply overkill and not appropriate. Next, let's look at the traditional approach of hand-coded algorithm development. It's tempting to think of this as the ideal process for building intelligence in the IoT devices, but practically speaking, it's the most arduous method, requires the greatest level of scarce expertise, and limits innovation and productivity. To illustrate, the typical flow is as follows. A new concept is devised and prototyped in hardware. A working hypothesis on the type of sensors and resulting data required to derive the processed application insight is developed. First, by collecting raw data, and then by using this data in mathematical tools platforms like MATLAB or open-source data analysis software. Once an idealized algorithm is developed and tested against the initial data, the task is shared with the firmware team to assess needed compromises and simplifications to hit compute, memory, and IO limits of the target hardware. In some cases, the model won't fit and requires expensive rethink and or re-spin of boards to accommodate components with greater headroom. Once passed, the device is subject to more extensive testing and new data collected where often corner cases that were not conceived or captured in the initial data set are discovered. This is often where code gets complex, difficult to support, and brittle. The net result is a process that is time-intensive, requiring six to nine months just an algorithm and code implementation alone on average. It's resource-intensive, as domain experts, data scientists, signal processing engineers, and firmware developers each have an active role and unique role critical to the success of the algorithm design. It's costly, not only in the upfront development phase, but also in the sustaining support and upkeep over time as the code gets more brittle. It's risky, as the unknowns and setbacks from the human-driven coding process rarely come in on schedule without some kind of surprise. And finally, the process overall doesn't scale. Case in point, if there's a reason wrist-worn wearables have struggled to date to gain momentum as real platforms, certainly an important factor can be argued for the lack of scalability in building smart applications that leverage the common hardware and sensors contained on these devices. Which brings us to the final and most recent class of tools for developing smart IoT devices, namely those tools that are purpose-built for addressing machine learning methodologies on the smallest of processors, known as TinyML. To put these TinyML applications in proper context, it's helpful to look at the following chart showing how various Edge IoT machine learning workloads map to Edge hardware processing power and performance requirements. As stated earlier, most of the press and attention has focused on the upper right quadrant composed of hardware and tools targeting vision and image recognition using deep learning methods. Equally important, and with enormous market growth projections over the next five years, are those applications contained in the lower left quadrant, the realm of TinyML. These are distinctly different from vision and image classification as they have markedly different requirements for power and performance, for reasons described earlier. Consequently, the tools optimization process requires a broader and more comprehensive search for pre-processing transforms and features and alternative machine learning classifiers to arrive at the most compact and power efficient code possible to achieve the desired performance. Key applications within TinyML include motion sensing for consumer and wearable applications, gesture recognition, audio sensing and classification, and industrial vibration monitoring, process control, and structural health monitoring, to name just a few. Expanding somewhat further on potential applications within the TinyML segment, we can think of broad classes of motion, audio, and environmental sensing as shown. While particular applications are virtually limitless, we have seen early traction from customers and consumer, commercial smart buildings and infrastructure, agricultural sensors, healthcare wearables, and industrial monitoring applications. Common across all of these are the need for one or more rich time series sensors used as input for the local analysis of a particular application in sight. Shifting gears, now that we've covered general development approaches and pros and cons of various existing methods for building smart IoT devices, I'd now like to introduce the unique capabilities that Sensible and ST bring to developers seeking a better approach to building intelligent devices for TinyML applications and or a practical entry point into AI for their smart product concepts. The upshot is that creating smart sensor algorithms for such time series sensor use cases just got a lot easier. The first thing to understand about the Sensible approach is that we provide a true end-to-end workflow for the user. This process starts at test methodology definition and dataset collection and ends with on-device testing. On the front end, all supervised machine learning tools rely fully on the accuracy of initial train test data to teach the system how to differentiate amongst various states of interest. Most AI tools lead this task of dataset capture and labeling as a job for the often inexperienced user to figure out for themselves. By contrast, Sensible's years of experience building AI algorithms have taught us the importance of train test datasets such that we've devised a unique tool over the years we call data capture lab that greatly reduces the risk of supplying flawed datasets that inevitably lead to flawed algorithms. The core of the tool responsible for model generation and code optimization is what we call analytic studio. This tool exists in two forms depending on your team's level of familiarity with AI. For teams without data science expertise on hand, analytic studio provides a GUI-based interface where basic parameters and constraints can be specified to the Auto Code Gen engine as it seeks to find optimal algorithm solutions based on your train and test data. The rich reporting and visualization tools contain provide full insight into the resulting recommended code along with bit exact emulation of the embedded target device output to allow production grade QA and validation. For AI power users, we offer a Python client interface variant that exposes all of the underlying model parameters and pre-processing stages with full transparency in a familiar IPython notebook environment with Sensible Python extensions to support model creation and code generation. The last step in the process is testing on the actual target hardware, which we support with an easy to use PC or Android application we creatively called test app. In the end, the efficiency gains afforded by analytic studio and the overall Sensible workflow cannot be overstated. We routinely see productivity and schedule improvements of over 500% or more when compared with hand coded development processes. The resulting tiny ML algorithm generated by the toolkit consists of a runtime data processing pipeline optimized for code size and efficiency. Starting with an input buffer for collection of one or more channels of raw streaming sensor data, the sensor stream is then pre-processed through a chosen set of available transforms selected by the engine as best suited for filtering and triggering segments for feature transformation and classification. The feature transform process is determined by the analytic studio uses configurable search methods to arrive at an ideal set of features from amongst a library of 80 plus feature transforms. The resulting input vector as fed to the classifier stage allows for the simplest classifier to be chosen from amongst the many supported ranging from a simple support vector machine to trees hierarchical up through neural networks as provided by TensorFlow Lite, which is fully integrated into the Sensible workflow. So with this explanation, I'd like to turn the presentation over to Chris Narowski, Sensible CTO to provide a walkthrough of a process using a real world example application. Over to you, Chris. Thanks, Chris. Start by opening the predictive maintenance fan demo project in the data capture lab. First, we're going to collect some new sensor data using the sensor tile box. We'll connect to the sensor tile box, which will start streaming data over the serial port. When we hit begin record, it'll start storing high fidelity data to the SD card stored on the sensor tile box. We'll then create the different states that we'd like to be able to detect within our fan, such as tapping or mount vibration. The video we are recording will also be synced up later when we switch to label mode. Finally, once you're finished collecting the data, hit stop recording, which will transfer the data from the sensor tile box to the DCL and upload it to the cloud server, along with any label and metadata that you had attached. You can then go into the project explorer, find the newly collected file, and begin annotating it. When the file opens, you'll see the accelerometer and gyroscope data plotted in the two graphs. The video is also synced up, so as we play the video, we can identify the corresponding regions in the sensor data. We will now annotate the data set. To add a new segment, we right-click and drag across the region of the sensor data where the fan was on. Then we associate the label fan on with that segment. We continue this process to label the rest of the captured file. Once we finish labeling the file, the new segments are synced to the cloud, and can now be used in training or testing your models. We've just shown you how you can quickly and easily create high-quality, curated data sets using the Sensimal Data Capture Lab. Now we will use the Sensimal Analytics Studio to create a classifier capable of running directly on the SensorTile.box to recognize in real time the different states of the fan. Once you log in, you will see all the projects associated with your team. Let's start by opening the Predictive Maintenance Fan Demo project. In the Summary screen, you will see a list of all the captured files, queries, pipelines, and knowledge packs you have created. In Prepare Data, you are able to create a query to select the data that you would like to train your model against. We've created a filter to pull out the five classes we are interested in classifying. On the right, you can see the total number of samples or segments for each class that were selected by this query. Now that we have our query, let us go build our model. Here, we use the query we just created as input. We set the window size to 400 so that a classification is computed every 400 samples or one second as the sample rate is 400 Hz. Additionally, we'll set our ranking metric to use the F1 score and keep the max classifier size set to 32k. When we click Optimize, Sensimal AutoML runs through hundreds of different feature extractor and classification parameters. When the optimization is complete, it will return the top five candidate models based on the classifier size and training metric that you selected. Now that we have our candidate models, let us go to the Explore Models tab to get a more in-depth view. In the Model Visualization tab, we can compare the different features that were selected by a model in a 2D representation. The Confusion Matrix tab shows us the confusion matrix for all the classes as well as the sensitivity and positive predictivity scores. The Features Summary overview provides a more in-depth look at the features selected along with their input sensors. And finally, the Model Summary shows us information about the classifier and the hyperparameters used for training. Let us move on to validating our model against our test data set. To do that, we will filter out only the data that we want to test against. When we hit Compute Summary, the model is compiled and the captures are classified using bit-accurate emulation providing the same results you would see on the device. When it finishes, it will return the accuracy for each of the test files along with the confusion matrix for all the files in your test set. When we click on Get Results, we will see the confusion matrix for this capture as well as the location of the predicted values and how those compare with the ground truth labeled in the Data Capture Lab. Now that we have validated our model, we are ready to download it and test it on the device. Here, we can select the target device, which in this case is the Sensor Tile box. We can select whether we want the model in binary, library, or source code format. And finally, when we click Download, it will generate the Knowledge Pack firmware that can be flashed directly to the device to begin recognizing events in real time. Now we have shown you how you can use the Sensible Analytics Studio to build machine learning models that can run directly on the Sensor Tile box. Thanks Chris for that brief walkthrough of the Sensible workflow. With that, we conclude our presentation on how Sensible Analytics Toolkit together with Sensor Tile box can enable you to build smarter IoT products faster. We encourage you to explore our virtual booth where you can find a video showing a version of the smart fan application we just built. You can also find additional videos, white papers, blog articles, and links on how to get started quickly. The link in QR code below will take you directly to where you can sign up for our free trial version of the toolkit. Thank you and we hope to hear from you soon to learn how Sensible can help you build your IoT products the smartest way possible.


Oh, hi bosses. It didn't tell me I was live. I've been sitting here live for 19 seconds Hey, what's going on? Is this camera not centered? Think it maybe got a little bumped How's that that better? I'm gonna do the editors desk and then just chat with you.  Hey, thank you for so many good editors desk questions I may not get to all of them this week But keep them coming keep them coming I will get the one from James that I referred to last week that I want to spend a little more time with James is really nice. I'm tempted to read the entire thing though. It's a little long just because he's so nice He's like, I don't want to come across whiny and gripy. This is not a DTNS Tom problem I'm a low-level patron across several podcasts And this is something tickling my irritation for a while Honestly, the only reason you're the one getting this emails because you sound like you're running a little dry on the editors desk And of course the recent know a little more shake up. Okay, so here it goes James says so I'm a truck driver. I don't make a ton of money But I'm proud to pitch in even a little to the morning stream DTNS politics politics politics It's a thing Andrew Heaton Talk about Star Wars rest in peace great night Jen briny court killers and we're not wrong And I understand that diversifying your offerings is one way to draw a new audience and bring in more income And I can't fault that at all and I understand the hustle I'm just wondering if there's a hope for maybe a simplified feed and a higher tier Perhaps out of my price range for those who are hip deep in the community I hate that. I'm not on the patreon for a word No a little more world's greatest con core film sack, etc But honestly, I'm paying more to patreon than I do to Netflix Disney Amazon yada yada I'm not making that equivalently though. I know y'all make your bones on depth rather than breadth And honestly, I feel like I'm not giving enough. I do however think I might be giving enough to skip ads I'm not sure anyway the feed creep reference is to know a little more clearly It's time for it's to spread its wings be its own thing But it's been staying in the DTNS patreon feed because it was a tier perk now. It's there stripped down Which is why I subbed to its feed separately and now I'm back in the ads And I need to remember to remove the naked one from my feed every week. I usually remember shortly after it starts I know you're already drowning in custom levels and perks and custom feeds and the limitations of patreon And I know that I'm asking a poorly formed question on top of the overload You've already got so feel free to totally ignore this brain dump or edit it into something comprehensible love the show James James That was perfectly comprehensible. I Entirely sympathize and I wish I had the tools to make this easy What I've been asking patreon to do for literally a decade. I think at least close to it is Let me provide multiple shows in one patreon and let you Check as a patron which ones you want now as many of you know for years I did that by having multiple tiers at each level But that made it a mess for new patrons to try to figure out where they are and it's caused a bunch of other problems in just maintenance So we got rid of that and we just have the one feed for everybody if you're on one of the old legacy feeds That's different. We didn't kick you off. So if you're like, well wait, I get different stuff. That's why But for new folks, we just make it simple. There's there's just one thing I wish patreon would give me that option to help folks like James out But I seem to be one of very few patron Patreon creators who need this and so I understand why they aren't you know rushing to do something just for me If I'm the only one who's gonna use it even if me and Scott and Justin, you know, they need they have I don't know Maybe millions at this point, but certainly thousands and thousands of people on their platform And so they need a good percentage of them to Use a feature before they're going to spend the time and money and met person hours to make that feature So that leaves me in this conundrum of well a bunch of you really wanted to know a little more in the feed Without the the the the effects And so I did that but not all of you want it because you can never please everybody, right? And I don't mean that as a complaint. I just mean literally you you can never please everybody And so there's gonna be folks like James are like, yeah, but I want the other one Now I have to listen to it with ads that rather than I listen to it adds especially because I'm supporting you in so many ways Makes me wonder At what if there should be and maybe this something I should talk to Scott and Brian and Justin and folks about if there should be some kind of Federation feed Where we just say like look for X amount And I don't know what that amount would have to be to satisfy everybody X amount of month you get it all All of it five and the best version of it Here you go Because I know what James is saying The solution if he wants ad-free know a little more with the production is to go to the know a little more patreon patreon.com slash know a little more Which you know, it's easy for me to say because I get the money from it I get what James is saying is like man, but I'm already supporting all these other patrons and at some point You know, you got to draw a line because you want to buy food and shelter Things important to living So so I'm I'm extremely grateful to James that he wants to support us this much and I don't know what what the what the what the answer is But I'm gonna keep thinking on it and if y'all Have ideas about it by all means please send those along to me as well Yeah feedback a daily tech news show calm I wish I had a better answer for you James, but I'm what I will promise is this isn't the final answer I'm gonna I'm gonna I'm gonna talk to some folks I'm gonna see what we can come up with cuz man You're you're absolutely right and you you couched it so well as like look. I'm not I'm not mad But it's a real problem and I think that's totally fair All right, let's get to George I've been curious for a while about how much you and the team use podcast Metrics to help you make data-driven decisions about the podcast. What kind of metrics do you gather downloads playthroughs? Subscribers, how do you get them? Do they come from a cast are there multiple sources? How do you use them? Do you graph things out in Excel just eyeball it something else? Do you find them useful to tell you if something is working or not? Sorry for all the questions. I'm a bit of a data nerd and love me a good Excel sheet The answer is he's kind of yes to all of that With the caveat that I tend not to be as much of a I can be a data nerd sometimes And I really love looking at the numbers and trying to divine what they mean But for for many years I've said look that the simple fact is most of our money comes from patreon. That's the number we need the most of The more free a cast subscribers We have the more people we can try to convince to become patrons the more people to become patrons The more revenue we get and the more we can do with the show So really that that's the one I'm laser focused on how many subscribers do we get and we look at that every day multiple times a day? But we do have all these other numbers and we do look at them So we have downloads from a cast we have downloads from patreon although to me I don't pay as much attention to downloads through patreon because to me it's more did you say a stay a subscriber or not? And then if you didn't why then downloads whereas with a cast the downloads relate to to ad revenue. So so they're a little more There they're a little more essential there play through as we get that to obviously subscribers and Our numbers generally come through a cast or patreon We have some numbers that come direct from Apple direct from Google and we take a look at those two I do have a few Google spreadsheets where I do some graphs on YouTube Twitch a cast patreon revenue graphs things like that and I keep those up to date and Do you find them useful to tell you if something is working or not I? Would say the things that are most useful because these are useful, but the things that are most useful are Answers to our survey and Patreon subscriber numbers and and any responses on patreon as to why you like it why you don't Even though that is not data You know, that's not like hard data. I use the hard data sort of a backstop to all of that so There you go, George. I hope that answers most of your question if it doesn't if it or if we brought up new questions Please let me know Alright We got Clint Who said oh? Wow, okay said a lot. I probably should have Probably should have looked at this earlier and edited it down Maybe I'll have to put this one off till next week. Let me look at it editors desk Just finished Friday and September 29th editors desk was out on my daily long walk with the dog I've heard you share that the total number of supporters is down recently heard the getting stats are Patron was maybe getting more difficult. Okay Total numbers supporters slowly declining has been doing that for a long time. We got a nice bump In the summer when we did the mollywood campaign But in general a little bit down It is not harder to get that number out of patreon What you've probably heard is Sarah complaining that we used to be able to tell easily who the new subscribers were And who gave us a raise so we could thank them on the show And they've changed that anyway As someone who's followed you in the crew from BOL to TNT to DTNs It's been a paying supporter for nine plus years plus twitch I'm wondering if you wouldn't mind considering a quarterly update on the business of the business for DTNs Ah, okay. I remember as someone that has a vested interest in your ongoing viability and success Be helpful to get more solid reporting on the state of affairs then the somewhat vague references we get regarding Quarterly average supporter numbers trend compared to last quarter Fun trends on and do I do that? Okay. Anyway, I'll take it as as you I would like more more numbers Maybe summarize without getting due to detailed future prognostications forecast upcoming trends How much of your personal income is dependent on DTNs? Like we know you have other gigs But what are those per person is anyone an actual full-time employer help aid straight an issue 1099s I understand you may hesitate to share granular details. Perhaps it's a bad quarter in emotional investment Investors and supporters may be scared away. Well, first of all, we have no investors. So it would only be supporters However, I think the majority of us really care genuinely care about you and the gang being there and being so dependable at what you deliver With the quality we may too often take for granted if things are getting bad Some of us can step up in different ways, even if it's just a smattering of more bits food for thought But as a longtime supporter, it just feels like something to perhaps add into the discussion calendar Also, I know you give a lot of shout outs to supporters in each episode But for those of us in the mid to lower tiers are those in the rotation to be mentioned as well What's the cutoff? I hear certain supporters repeated often, but not enough to support to the smaller guys But I would be and gals But I would suppose there are more of us that are crucial to ongoing support than the fewer big bucks supporters Maybe I'm wrong. That's okay. I won't pout too much Also, I'm a fellow 70s kid But I have noticed a real trend of hosts and guests very much being in the more season 40 to 50 range any thought on adding More young cool kids to the rotation that alone may bring in more listeners. Yeah Yes to the cool kids Turns out they're busy and they're harder to get but yes, I would like to diversify the age range For absolutely for sure for real the supporters the ones you hear repeated at the top Those are the master and grandmasters the folks who give at the very top level and so they as a perk Get thanked once a month every month Sometimes more we will will over deliver if we if we get through all of them and we can start repeat But but you will if you're a master or grandmaster get thanked At least once at the top of the show every month. That's part of your patreon The other people you will hear is either a new patron So we like to to give you that that person the shout out we used to do that separately We now do it with the master and grandmasters at the top of the show So it'll be master grandmaster folks three of those plus Hey, cool new person if there's no new person then we go to longest lifetime supporter that has not yet been thanked So yeah, it is it is going to the people in the mid to lower tiers No matter You know no matter what but but how much have they supported the show? And and Sarah keeps track of that she keeps track of who's been thanked of those longtime supporters life You know not lifetime supporters because they were born before the show was was born, but at least most of them and doubt We have any ten-year-olds supporting us, but who knows? Anyway, yes, so so that's the plan is that we're thanking folks either Prior the grandmaster and master folks get it as part of their patreon That's guaranteed then we thank new folks first to you know to say hey, thanks For joining us and then we thank lifetime supporters So so folks who have been with us for a long time and contributed In large amount not large amounts, but you know even if you've contributed just five dollars a month over the course of ten years That's a lot right, so we're going through that list There's three thousand and eight six hundred supporters something like that So it takes a while to get through maybe we'll do a thank couple like thank pocalypse again like we did back at the Beginning but anyway Clint there you go. I hope that helps answer those questions. All right, I Think I'm gonna hold off on any others that we got Until next week These are these these two are kind of quick though So if you've got another one if you got another question for editor's desk I love that we're getting so many questions for editor's desk. This is fantastic So so keep those coming feedback at daily tech news show dot com And if you didn't know you can also You know it catch me doing the editors desk not out and not every time but but every once in a while In a live stream either at our twitch or YouTube So keep an eye on that as well. Thanks everybody talk to you next time Okay, but I'm not leaving here. That was just talk to you next time to the recorded version Whoo meaty answers meaty answers from folks I kind of didn't answer the question about the I Just realized that I didn't fully answer the question about like hey, would you share? The the financial results and I should have so you know what I'll probably probably go back and answer that again next time Good afternoon everyone. Hello Hey, thanks Carver, I'm glad I'm glad you're support that idea I can't I can't guarantee it's gonna happen because we'd have to get everybody On board to want to do it and then the logistics of having everyone have access and publishing to it is complicated because patreon is really built around a single person Organization rather than Hmm. Hello sang So Man this new patreon logo really messes me up sometimes. I'll get used to it, but it's a It's a little bean. It's like a bean and I'm yes. Thank you first try finally, right? And it I just don't know what it is when I first look at it and then I have to think oh wait, that's patreon. Oh No My wife just texted me that even cafe onion and soul has got on the pumpkin spice train It's everywhere We're not anti-pumpkin spice. We actually have pumpkin spice coffee for our Nespresso. We're just in awe She's saying that's why we need to go in fall so we can get it. Oh No All right, so what did I do? With that editor's desk that I just recorded. Oh, there it is Yeah, thanks Carver. No, I appreciate and I appreciate the thumbs up I mean the finance I don't know how to answer that financial thing because some of it is just It's some of its personal privacy, right? Sorry, I'm typing You know give too much Especially with an operation as small as ours give too much financial information away and you can tell how much everybody makes and I Might not care, but other people on the staff may not want everyone to know how much they make And I did I did previously answer the like how how much of our personal income is derived and in my case all of it Yeah, I mean I get a little bit from cord killers, but the majority of it from this Right, so what else did I answer? It was the metrics Clint's thing about how the show is doing and More that's what you put when you don't remember next Editors desk Publishing oh I should select the tears of a clown Wanted to go to all the people who should get it. I Am having a fine day killbot 404. How are you? Have you? Killed any processes today? Right now I have done The editor's desk no Sarah Lane on Daily Tech news show today. It is her birthday And she said I mean I don't have to take my birthday off But I kind of like to and we all said you should so that's why I was not on the show Yesterday because I'm usually not on the show Thursday because I work on know a little more and so I swapped I am on the show today with Rob Dunwood and Justin Robert Young And Yesterday I did an episode that was suggested by Big Jim of know a little more that'll come in November about Authenticators if you've ever wondered well wait, how does my authenticator app know what the number is without Communicating over the internet to the server and then somebody could swipe it So we went into that Philly clay By two runs Making stuff up now. Oh also I'm starting to get some rhythm on the tech Tom newsletter. It is only going to the paid folks right now, but I Suspect by next week. I'll be ready to share a preview with everybody So if you're not already subscribed to tech Tom go to tech Tom dot sub stack comm and I will I you know I need to come over the news a URL to redirect to it but But yeah, get subscribed there if you Feel like paying you'll be able to get the issues right away because they're all going behind the paywall at the moment But you don't have to because it's still kind of in beta But if you want to sign up for the free preview I don't know what the free preview schedule in the future will be but If you pay in the future, you will get a daily briefing and It seems to be coalescing around Hear my opinions about tech stories not necessarily stories They'll leave and show up in DTNs, but things that I have a thought about so, you know, it's less of the Objective arbiter that I play on DTNs and more like here's what I really think kind of kind of situation. Oh I will Carver Absolutely, that's good. That's cool that you've been watching her since all the way back then It's not tech tips though. It's tech knees Yes, any other Let's see. What's what's on the schedule for the NHL tonight? I'll give you the over under These are these are not if you lose money based on my tips. Uh, well That's your own fault because these are not guaranteed. These are if anything guaranteed to be wrong Blues and the stars Blues by one I don't know any of the rest of these crack golden nights and sharks golden nights by two I have I've actually lost track of the frog wrestling From when I went on my vacation. I need to pop back in on there I apologize. Oh, well not apologize. I I feel for you real lost. I know how that goes All right Look at that. We got a comment on yesterday's show. I should favor it favor right that Let me favor right that comment. Oh, it's not on the show. It's on roger Roger's been getting a lot of comments on his column lately. People are enjoying it If you haven't read roger's column, he writes a column every week Sales in this economy is the title of today We put all this new stuff out on thursday. I wonder if we should space it out Alrighty I should look at the uh at the feeds Use your title to submit titles for dt net. Don't do that yet nightbot. It's too early I'm gonna share my screen anybody want us to see the screen? I don't do bad.  There we go All right What would signal life on another planet? I want to know The james web space telescope failed to find a thick atmosphere around trappist 1c Trappist 1b Oh, it's becoming a practical question. Who runs the best us schools? Maybe the defense department Threads rolling out an edit button and you don't have to pay for it. Oh I mean, I don't know You usually be able to edit a post for up to five minutes after it's been posted. That's That's you know, like everywhere else except x You know what especially with news the way it is these days I need to look at news separately because there's not as much technology in my news section here as there used to be Netflix's ted serendous reveals why talks broke down with sag after As for a levy on every subscriber, which led. Oh, okay. So now they're in the blame game They tried to do this. Well, that's not exactly what we did. You tried to do that That's never a good sign when you're in the blame game That means talks are farther away from getting resolved Is it being probed? Let's see. Is that real? Further intense scrutiny. Let's see Formal request for information. Oh, okay. All right. Yep Said there's uh, okay, so I gotta update that In response the EU sent a formal request for more information Prelude to an investigation That's how I'll put that T-Mobile switching users to more expensive plans Threads gets an edit button. Oh, fine. Fine. I give in Everyone's covering it Threads got a net edit button Let's See what else Is in the quick hits Google search generative experience knowledge users create images The banu asteroid sample stuff's cool NFL Sunday ticket draws an estimated 1.3 million fans to youtube Mark that for cord killers That's getting an edit button and you don't have to pay for it Third-party mobile app with gray sky for blue sky. Oh, I might have to check that out All right I will stop sharing that screen and put it back in my other tabs Oh carver. I'm I'm so glad you checked Um, congrats. Um, congrats to me actually not not you Uh Not now nightbot Uh, that's funny Right in Minneapolis you rock. I'm bored by the edit button. I've never been one that really Felt like it was wrong for them to not put an edit button I think it goes back to the fact that I resisted allowing an edit button on tech tv dot com for talk back back in the day but Um I also don't mind an edit button. I use an edit but I need an edit button To be honest, I just don't think it's like An affront to humanity to not offer when there's some good reasons on both sides of that. Okay Dancing in the moonlight Oh, hey speaking of mastodon, which one of you just was um We I I enabled the master the it's not a mastodon plug-in. It's a fetaverse activity pub Plug-in on daily tech news show dot com. So if you're on mastodon or I can't remember all the others that Pull that up. Um If you're on mastodon pluroma friendica Anything use an activity pub You can follow daily tech news show at daily tech news show dot com I don't think threads has implemented all of their stuff yet. They've they've implemented a very small part of it Um, I wish I had a had a button in real life too carver. Uh, so yeah Probably mostly you're on mastodon. I don't know. Maybe you're on friendica too Whatever you can follow daily tech news show at daily tech news show dot com. You can also follow individual authors so That's not particularly useful for us because we're not exactly a blog But if you're like no, I only want to hear about rob dunwood's episodes of daily tech headlines You can do that. Um Because it it publishes them individually as well. So Uh, yeah, I uh, I was the first follower of daily tech news shows fetaverse instance And you could be the second maybe Actually, let me see See if we see if anyone else figured this out yet because I retweeted the rob dunwood post I don't know if that just means rob got followers and not daily tech news show Um the discussion section All right followers Hey We have two So you could be the third.  Got a couple minutes before I need to ski dattle and start uh getting ready for our prep I am going to brussels. It looks like I haven't quite Finally confirmed but but it's pretty much kind of firmed um Hey carver, I just uh saw that you You knew patrons patrick And carver I just got the email notification Uh, anyway, yes, uh, I'm going to brussels for speaking engagement, uh, november 5th through the 9th so If you're going to be in belgium sometime around then Uh Let me know if we could do a little coffee meetup or something While I'm there, uh, I will probably be off dts for those days. We'll see my guess is I will be And I will be busy with with the speaking engagement, of course that I'm doing They were very nice to reach out and I asked for me to be there and I'm looking forward to it It's going to be super fun. Um, but In the meantime Uh, I would like to try to to see if there's anyone hanging around in brussels Or we're near enough to brussels that wouldn't be in a position to to make it over and uh, yes I expect I will try all of the waffles and sprouts and chocolates belgium has to offer While I'm there the capital of the eu Or at least one of them No news about apples like my reality vr glasses carver. Nothing today. Anyway, um I doubt we get anything solid I'm sure there'll be leaks between now and the end of the year, but I doubt we get anything solid till after ceas That's my guess Oh and and beer. Yes omega man. Good point Belgian beer quite good They seem to be fairly good even the non monks pretty good at the beer over there Oh, you have family there I'll say hi if I see them Uh, yeah saying I have never been to belgium I have also never been to the netherlands. Uh, and so I'll get to say I've been there since I'm flying through amsterdam I believe they just call them sprouts there carver And yes zoe, uh, I will give you a bacon verdict and you should have some more coffee I I could say that I don't know if I will But I could All right, uh, I'm gonna go, uh Get on into The prep it's rob dunwood And jesson robber young, uh with me today Oh, I didn't do a little rundown preview today. So if you're curious, um, we're gonna talk a little bit about threads Uh resisting being a news Uh platform because mosiri wrote some more about that Uh, we're gonna kind of do an overview of the pixel eight reviews and how they're so wildly different Uh, depending on where you read them um, and then uh piper stand there had a really interesting Uh survey of teens came out and there was some interesting stuff in there about You know youtube pest net netflix is the most watched video amongst teens in the u.s for the first time There's some other stuff about you know preferences for messaging and payment apps and things like that So we're gonna kick all that around Um, and then uh rob's gonna tell us about this new operating system personal cloud computer called space os Uh, so all of that and more and then on good day internet, uh, we're gonna chat about netflix opening restaurants yeah okay, so, uh If you want to watch that right here, uh, if you're on twitch you can twitch.tv slash good day internet We don't stream that on youtube just on twitch at least for the time being so Go to twitch.tv slash good day internet in just about an hour and 15 minutes to catch that And I will talk to you then Goodbye. Have a great day. Thanks Ending the stream


This isn't how it's supposed to be.  Here we are. Do that. Now what? Now what? An increasing number of people on TikTok have been sharing stories of their survival in late-stage capitalist America, and I want to take some time to look at several of these videos and explain why things are still so bad for working Americans despite headlines claiming otherwise. Now I do want to go back to the woman that we just heard from. She's actually a nurse who went viral for telling her story on TikTok, and here's more from her. I feel like my husband and I are doing everything right. We both have good jobs. I'm a nurse. I'm a registered nurse who works full time. He works full time. We just got paid this past Friday, right? We paid the mortgage, bought some groceries, put some gas in the car, and guys, it is Tuesday, and we have like two or three hundred dollars to last us until next Friday, like we don't live in a big house. We live in a little ranch, it's eleven hundred square feet, three bedrooms, one bath, us and our two kids, and like I don't know what to do, like I'm in school full time, I work full time, he works more than full time, he works overtime every week, I don't know what to do, I'm so stressed out. Now her story is not uncommon, in fact 62% of Americans are living paycheck to paycheck, and it's now the main living style as CNBC reports, and 63% of Americans can't afford a $500 emergency, meaning you'll only be able to get by until you fall behind, but if her or her husband gets sick and misses work or they get a flat tire, or they have some sort of a medical emergency not covered by their insurance, they could fall into poverty, and once you fall into this hole, it's really hard to dig yourself out of it. It goes back to the famous Tezande tweet, being poor now just leads to being more poor later, can't pay to clean your teeth next year, pay for a root canal, can't pay for a new mattress next year, pay for back surgery, can't pay to get that lump checked out next year, pay for stage three cancer, poverty charges interest, and that's exactly correct. If it's an unexpected emergency, you might put the cost of that on a credit card or borrow money from a payday lender, and when you do these things, you begin to fall into debt if you don't have the money for these emergency expenses. So we're so this myth of meritocracy, where if you work really hard, you'll be successful, but that is demonstrably untrue, because even people who are successful by traditional standards are getting by the skin on their teeth, and it shouldn't be that way, right? Now, some people might argue that her, along with everyone else who's living paycheck to paycheck, well, they're at least getting by, and that is good in and of itself, it could always be worse, and that's true, but when you're working a full-time job, you shouldn't just barely get by in the richest country on earth. You should be able to save money, go on vacation, buy something nice for yourself once in a while. You shouldn't work yourself to death to only perpetually struggle forever. That's cruel, but there are people who did fall behind that aren't even getting by anymore like that nurse with the brand minimum, and these stories are becoming all too common now as well. Take this 24-year-old tiktoker, for example, who went viral documenting her experience being unhoused and living in her car. She gets ready in her car, she has to brush her teeth in a public bathroom, and as you can see, she says that she felt embarrassed when the lady was in there staring at her, and we often hear this myth from conservatives that unhoused people are lazy and they don't want to work, but she's working. She's still unhoused. She just doesn't make enough money to afford a place to stay, and wages aren't keeping up with inflation, and thankfully, inflation has come down, but it's still bad, and the cost of living rises every single year between one and three percent, and that's just then a typical year, because rent actually surged 15 percent during the first two years of the pandemic, and now, thankfully, it's increasing at a more stable rate as the Washington Post points out, but even though the cost of rent is increasing slower, it's still increasing. It increases one to three percent every single year, and it's still increasing following that 15 percent spike. This is why so many people face housing insecurity. Now just to give you some perspective, here's an ad for homes from the 1950s posted by Reddit user LuckyStrike85. You can buy a two-bedroom one-bath home for $7,450 with a monthly payment of $47.92, or a three-bedroom one-bath home for $7,900 with a monthly payment of $49.74. Now to put that in perspective, the OP points out that that's around $95,000 in today's value, and another user explains in 1950, the federal minimum wage was 75 cents an hour. That would cover one of these mortgage payments in about a week and a half at 40 hours per week. I live in an apartment making $22 an hour, and the only reason I can manage to cover rent in a similar timeframe is that my two roommates and I split the rent. Now there is a lot of generational animosity, rightfully so, because the boomers who were born into that economy voted it away by supporting neoliberal politicians for decades. And there's this idea that after boomers built up their wealth, they then took away those same opportunities from their children and then lambasted us for not being as successful as them, and they also call us lazy. And honestly, I'm not one to generalize all boomers, but if you know an older person who helped usher in the Reagan revolution, you largely can thank them for putting us on this current trajectory at least. But having said that though, boomers are not monolithic, not all of them supported Reagan, not all of them are responsible for this current situation. Many of them are powerless just as we are. And many of them are actually now suffering as a result of this late-stage capitalist economy that we find ourselves in. And regardless if they supported politicians that replaced their pensions with 401Ks or shifted the tax burden off of the rich and onto them, we are now on the cusp of a boomer catastrophe known as the Silver Tsunami. And this TikTok explains it well. Baby boomers are becoming homeless, and that's what's spending. Oh, and this is just getting started.  Look at this, the Silver Tsunami. And what is the Silver Tsunami, you might ask? The Silver Tsunami refers to all of the aging boomers that are going to be of retirement age and are not going to be in the workforce. That means that they're not able to live off of anything but the retirement and Medicaid. Some estimates say that there's going to be 10,000 boomers turning 80 every single day. Every single day there's going to be 10,000 more retired people that need places to live. A lot of them are going to need assisted living with nurses to staff them. And by 20, 30, 73 million boomers will be of retirement age. And that doesn't mean all of them aren't going to be able to support themselves. But a lot of them are not going to be able to support themselves. And as a growing number of people need long-term care because life expectancy is getting longer and longer, that means that you're going to have more of these people staying in these places longer, meaning that there's going to be more money necessary to take care of them. And if not having enough houses was bad enough, there's a staffing shortage when it comes to nursing, especially for these people. Most nurses do not want senile old people to be sitting there yelling at them to take care of them. They don't get paid enough. They don't deserve that kind of disrespect. And they're just not for it. So not only do we have a lack of housing, we have a lack of nurses, and we have more people than ever reaching an age where they cannot take care of themselves. So, yes, we pick on boomers sometimes, but this shatters the idea that it's just young people suffering from late-stage capitalism. It's just not true. Boomers are suffering as well. And the question is, if this isn't addressed, what happens to all of these old people? Well, many of them will be forced to just keep working until they die. In fact, a Boston College study found that over 50% of working-age people won't be able to retire, which means they'll have to just keep working forever. And if they can't work, if they become disabled or senile or too old, well, then many will just become unhoused. And others will have to be taken care of by their family. Now go back to that first TikTok with the nurse who's living paycheck to paycheck. Imagine having to care for her parents. That's an extra mouth to feed. That's doctor's appointments that they're going to have to take her parents to. It's a bigger strain on families if you have to balance work in school and being a full-time caretaker for your parents too. It's a lot. It's a huge burden. And it doesn't have to be this way. But we were all told if we worked hard and put ourselves through school, and we'd be able to do things, we'd be able to get a job and live the American dream that we were promised. But that's just not true. It's to the point where Americans are being financially punished for even trying to pursue the American dream and better themselves. For example, listen to this TikTok or explain the scam that is student debt. I just checked my student loans because I needed to get the information to someone. And what the fuck? I started with 80,000. I have been paying for ten years. Last year I paid 6,000 lump sum because that's really the only way to get it low. That took it down to 76,000 after I've been paying for nine years. The grand total is I have paid $120,000 and I still owe 76.  There's just no winning. And finally, after Biden announced that he'd cancel 10 to $20,000 of student debt, the Supreme Court took that away from us. And the same rich congresspeople who got their PPP loans forgiven, including interest, had the audacity to scold people like her for not being fiscally responsible enough. Now, these are just a couple of examples, but if you zoom out, you begin to see that our entire economy simply does not function well for ordinary Americans and it hasn't been this way for quite some time. But despite this, we're told the economy is doing amazing. Now, currently there are some good economic indicators, but that doesn't mean that everyone is doing good. But despite most people not really doing as well as they should be doing, given how much wealth is in this country, presidents still brag about the economy. Trump bragged about the pre-pandemic economy all the time and Biden is currently doing the same thing. He's bragging about Bidenomics and the economic recovery that he helped us written. Now, to be clear, he does deserve some credit. But here's why it feels like things are still getting worse, despite some changes to economic indicators. Jeff Stein of The Washington Post shared this chart. And as you can see, the people who are more likely to say that the economy is excellent now or good are richer, older, whiter, and they're more male. Meaning that not everyone is benefiting from economic gains. In fact, most people are not. And to be fair, this isn't just Biden's fault. The richest 748 Americans' other collective wealth increased by 77% thanks to Trump's 2017 tax cuts. And Oxfam reports that the richest 1% bagged nearly twice as much as literally everyone on the planet combined during the pandemic. Now, in an op-ed for Jacobin, Matt Brunig explains that working Americans aren't feeling the effects of the economy because Democrats let the pandemic-era policies expire. This includes the child tax credit. The pause on student debt expanded unemployment benefits, free school lunches, et cetera. Now, Brunig goes on to explain what we got out of the Biden administration, legislatively speaking, was a third tranche of COVID stimulus, an infrastructure bill, and a climate bill. There were a few tweaks here and there to welfare, state and labor market rules, but in general, the problems with those economic policy areas have gone unresolved. This is not because Biden never promised to do things in these areas, or because Biden made no effort. Biden supported and urged the taking up of the left's leading labor market reform demand, the Pro Union Pro Act. He also supported and tried to pass the Build Back Better legislation that would have made changes in various welfare policy areas, including family benefits and home care benefits. But these things did not pass. Under the usual canon of Democratic apologism, the left's disappointment at his failure is not supposed to be waved off by saying, actually, the economy is good, but instead by saying the cause of the failure is a handful of moderates in Congress, not Biden or the Democratic Party writ large. So this is why Bidenomics isn't landing. It feels tone deaf to just say that the economy is doing well when people are still struggling. So you're not gonna be able to convince people that the economy is good if they are still living paycheck to paycheck and their condition isn't improving. And there's this misconception that Trump is better on the economy simply because things happen to feel better economically when he was president, but the policies that he put in place greatly exacerbated income and wealth inequality and the things that Biden tried to put in place to mitigate that were thwarted by mansion and cinema. But rather than trying to convince people that the economy is good, I think that Biden needs to be honest. He needs to say that the economy is good. It's getting better, but there's still a lot of suffering going on. And if he's elected for a second term, he's gonna try to make it better. Now there's indications that Democrats are trying to tweak their economic message since just saying the economy is good hasn't been working. But I mean, if Trump's running on Make America Great Again, Biden should run on revive the American dream. That is something that I think could resonate with a lot of people. But until we get a president who is willing to make drastic changes to the economy and actually fight for the changes they're saying they wanna make, conditions for working class Americans are only going to continue to deteriorate. And that's what happens when all of the wealth is hoarded by a small group of elites. If you don't change that and redistribute wealth, things like this are going to continue to happen. People will continue to struggle.  You're getting nervous, man.


Right, thank you for joining the average golfer and we're going to look at a very interesting set of well two irons from Callaway's release for 2019. We're going to look at the Apex and the Apex Pro CF19 models and I have to say they're absolutely stunning sets of irons. Let's start off with that claim statement rather before we go any further. But they might look good but how do they perform and that's the interesting bit and I went out there on the course and I've also collected dry ball data to try and establish if these things perform well in hands of the average golfer and what the differences were between the two sets as well but before we do that let me throw some images up on screen and let you have a little look in terms of aesthetics and what you think of the two and here's the Apex Pro first of all.  I'll throw up the Apex standard product now for you. Matte finish on this it is not as nice it is a stunning looking club but I've got to say I'm always drawn towards the high chrome finish I wish they'd really done that with this standard model as well. There's a little black rubber element to suppose you might call it inserting the back there but still a very very classy looking iron like I said I wish they'd have made them both high chrome finish to be honest with you but anyway that's just a very much a personal opinion but classy in its looks and these are two different irons only slightly different so players distant iron I think you might categorize the standard Apex product and then you've got the ultimate sort of players performance iron in the Apex Pro and the interesting thing is there is a combination set of both these two so once again you can go I think through to seven iron in the through to the three iron in the Apex standard and then in the shorter irons through to the wedges you can set yourself up with the Apex Pro so there's plenty of logic in there as well but what have they done what have they packed into these two in terms of technology as ever the expect from a Callaway product well this is I'm gonna throw this image up on screen for you now and this is the first thing we're gonna look at 1025 forge carbon steel body urethane microspheres which will talk about MIMD tungsten weight in spin control VFT and 360 cup face well first of all anybody who loves a forge feel then they've made a forge body on this club this urethane microspheres is an interesting one for me so what they've done again we've seen this in the in the Big Bertha product as well the release recently in the irons is placed an elements of material microspheres urethane microspheres thousands of air bubbles within this product which again dampen unwanted vibration now I've seen it in the in the in the Big Bertha irons and once again I've seen it here it really does have an impact on feel without any shadow of a doubt it is a massive input per foot increase in terms of the performance level in that element of these irons and I really did like that 360 cup face technology which you've seen before it's promotes high ball speeds and it's something that they've brought into this apex set of irons and we'll see in terms of dry ball data how much impact that has on the product itself and then we've got the tungsten weighting and again tungsten weighting very much put in the exact position and location that they want it to be in to enhance performance in terms of the different irons and what you would be looking for from the longer irons compared to that of the shorter irons and then this vft spin control which is something that has often been a problem with and these are far from game improvement irons but the minute you sort of put sort of performance enhancing fastball speeds off the face then you're losing elements of perhaps spin vft spin control has paid some concentration to that element and again introduce technologies to try and bring that spin number to where you'd want it to be certainly in those shorter irons and then when you go to the pro model it's very much almost exactly the same story but built into a smaller more compact head and again they changed the 360 cup face technology from it appears in the longer irons but they changed that from seven iron I think it is or eight iron actually eight iron down to the wedges the face is changed it's not all about ball speeds they're not on about maximum ball speed they're looking at more distance control the right spin number the things that you'll be looking for as a player's iron I suppose in those shorter scoring irons so that's the only real difference I can see between the two in terms of the technology because they really are for this type of iron putting a lot of technology into those clubs so what happened when I went out there on the course and that was the first bit was to see what these things did and what will I start with I'm debating on where I'm debating on how how much praise to give these things from the outset do we slow build or do we just go in and tell you how it is I'm just going to go in and tell you how it is I think a lot of people are going to like these clubs fans of the apex range are going to absolutely adore these clubs because what they've done if they've took the apex model and they've ramped it up massively in my opinion first of all let's go with apex pro in terms of sound and feel they've produced the iron that has it's been going towards its way for a long time where they're producing players irons with forgiveness with fantastic sound and feel once again these urethane microspheres that are packed into this 1025 head produce an awesome sound awesome feel it is so soft in the apex pro it's margin it is different in the standard product it's not as buttery soft that you're feeling the apex pro as you'd expect having said that it's marginal because the feel in the standard product standard apex product is again really really nice they differ in terms of what you as you'd expect in terms of size and the compactness of the design is notably small on a pro design but having said that the performance because you've got the performance out of both products and never really was put off by the smaller design but I only had it in the seven iron and maybe a four iron which I had in the apex standard if I had that in the apex pro maybe I'd start to get a little bit scared of the product and the combo set seems to be an almost ideal scenario in my mind but how they perform really really well distance was very very similar difference in lofts in these two products but for me not a huge difference in terms of performance what I seen out there to be quite honest with you in both of these probably half a club difference if anything but then into the driving range at four golf chester and we started it in some balls to try and get some dry ball dates to back that up and this is what we came up with and the first set of numbers we'll start off with is with the pro version so pro version at seven iron 108 ball speed on average so again that's what you'd expect from this kind of product 22.4 arguably launching a little bit too high for me five eight spin fantastic spin number number of balls over six thousand you will know people who watch the channel I don't achieve a great spin number and that is bang on the button really really good for me and 150 carry at the performance of it was as you'd expect from traditional loft and very very consistent indeed I'll throw up the now the stat the apex standard product a lot faster in terms of ball speed and again the stronger loft on this will have something to do with that 113 on average but balls up there 116 117 ball speed a better ball flight with it for me but again that'll be the stronger loft 20.8 can you believe the spin number I mean six two spin for me with a seven iron and a number of balls over six thousand in terms of spin it's never seen from me and it's certainly never seen from me from an iron of this type 34 peak height 157 overall and I'm going to finish off with one other set of numbers because I also had the apex standard in a four iron 120 ball speed 16.1 launch two eight spin and 188 on average in terms of distance I was leaning over there reading off a computer as you can probably tell and like I said the interesting thing for me there probably was the four iron the four iron was as easy to it almost as the seven iron slightly longer shaft as you'd expect so a little bit lost in control or harder to control that club head but feel in the four iron was a great way to judge this whole set really it was like I said very very good feel as easy to use as the four iron the thing is with all these irons for me is that we're reaching a position where the sort of player's iron as the apex pro is is no longer the player's iron as what we would normally associated it with in my opinion yes they're small in their profile but they're packed full of technology which is making them a lot different I'd describe that it's it's not a traditional blade there's a bit of muscle back in there but in terms of its overall profile and size it's very similar to a traditional blade and the performance out of it is so so different and the consistency of performance is so so different as well for someone like me at my level to perform as I am doing with these clubs finding that sweet spot consistent performance consistent distance absolutely superb the issue I have is that when you use the apex standard product slightly bulkier in size but only slightly and then when you get down to the fore end a fore iron end again the confidence inspiring the fact that that ball is flying out there the fact that the the fear is so good is that's when for me I wouldn't necessarily go to the apex pros at my level because I don't think why bother is is the ultimate thing for me why bother when there's the apex standard product which is so nice in feel so good in performance that for me the idea would be apex standard product and then maybe this combo set in the shorter irons I'd look at because blown away by performance blown away by the feel blown away by consistency blown away by the irons are honestly really really impressed it's where I've been wanting to see for a long long time is this this set of irons that like I said packs all those things that technology offer generally in a bigger bulkier club to help average golfers like me packed into a smaller compact iron which is what really I like in terms of on the iron terms of the profile and they've done it in abundance honestly it is I can't speak out both of the sets are absolutely superb how do you knock them how do you do a review and knock a set of irons like that it is very very difficult to pick fault and for that reason I'm not going to so more importantly as ever that's my opinion maybe I got lucky you go out there try them yourselves and come back and comment on this video because for me Callaway have come up with an absolute belt in range for 2019 they really have and I can't see anybody trying any of these products and being disappointed that honestly can't anyway thank you for watching thumbs up if you like the video comments down below I'll do my best to reply thank you as ever for watching and enjoy 2019


It is the audio BFF. This is for cutie pie and jow boards, and it gives you both a micro SD card reader and an i2s 3 watt amplifier So it is perfect for plugging in a small speaker and Playing audio files with this just stuck right onto the belly side of a cutie pie There's a little micro SD card there with a bunch of audio samples from the video game portal Hello, and again welcome to the aperture science computer aided in Richmond Center Wait now and cake will be served immediately. What I can do is take that SD card out Grab a different SD card with different samples. I'm just gonna slide that in reset the code and now I have Totally different set of sound effects It is the audio BFF for cutie pie and jow