I'm Rob Streche, managing analyst with theCUBE Research and today we're going to talk to Ed Walsh, CEO and Thomas Hazel, CTO and founder from Chaos Search. Welcome back to theCUBE, to both of you and really excited to have you both here today. Thanks for having us, it's always great. Yeah, and especially because this is a launch day. So I think this, you know, it's always a little bit more exciting when there's fresh stuff to talk about. So let's kind of dive into that. What is Chaos Search announcing today? And you know, how does that really change what you guys do? I'll take the first shot. So listen, today we're launching Chaos Lake DB. So it's a data lake database. In fact, it's been the foundation of our SaaS based service for years. And I'll go through in a little bit, but we're announcing that it's also available, the Chaos Lake DB as an embedded database for service providers. You take your standard cloud storage and we transform it into a hot, analytic database. And now we didn't say we put a database on top or ETL out of S3. What we do is we make it actually a hot, analytic database. And then we provide rich analytics. So think about Elasticsearch type of analytics or Elasticsearch API or SQL analytics. And then of course, GenAI on top of it. So you simply stream your data into any of your objects towards around the world and it's available immediately for hot analytics. We deal really well with the operation use cases, the business use cases. Think about operations use, the cases would be, think about observability or security lake use cases. But also what you do, business use case. All that data is the digital footprints of everything going on an application that's really important to the business side. So our end users end up having the capability of having literally to save time, cost and complexity. They free up their time from managing all these complex pipelines, managing these different clusters. They unify these use cases, but also they save costs. So we're saving 50 to 80% hard dollars, while giving people a lot more attention in which is what they're really trying to do in their environment. And we'll dive into that a little bit later because I think that again, getting through this and a little bit of a data geek myself. So I think getting down into why Lake DB is different and we've got Thomas here who can, we can both geek out a little bit on this because I think it really to me, having seen a lot of different database and lake house announcements, bringing the two together, what was the thinking behind that? Because I think there's extreme advantages. And I know we were talking about things like ingest and others, let's talk a little bit about that because I think that's really key for people to understand. Well, back in 2016, the idea of transforming your object storage into a high performance, at scale, real time database seemed a little strange, odd. Now it makes a lot of sense, but the idea was that's where all the data was going to because they're worried about their pipelines failing, their databases failing, so they're streaming into services like S3. And so I thought, well, what if I could transform that data where it lives into a search, a sequel at scale database? You're thinking, not small day, we're talking billions of trillions of events, we're talking about terabytes to petabytes, but do it in a way that is cost effective and simple. So we're a database with a lake philosophy and that's the big change, that's the big difference where a lot of times you think about data pipelines, ETL and schema definitions, no, stream it into your lake of choice. We auto discover the schema, we index it without you having to worry about it, but we publish well known APIs like Elasticsearch API, no Elasticsearch in the hood and all that pain, or the SQL API with Trino as our export. And then this Gen AI, conversations with your data. It's a one, two, three punch. Yeah, and I think that's important because it becomes part of a strategy for an organization and it can be embedded underneath. It's, you're not just selling chaos search anymore, you're selling actually the Lake DB underpinnings, which you guys have spent years, I mean, again, this is years in the making, but it's not a V1, this is V whatever, six years later, seven years later, right? So it's been fully tested out and vetted at scale. And if you think of why these service providers or platform providers are looking for this technology, it's pretty simple. It's kind of architectural simplicity, but you're also, they're innovating on the application layer or the model layer, especially with Gen AI, we see a lot of model innovation, and we're innovating on the data layer, right? So a lot of people, they're integrating what they can do on the data layer, they're not innovating on it. So we're a natural fifth for them. So what they get is they're able to give their customers, hey, I can give you the cost-effective attention you're looking for. And they're looking for a lot more attention for a lot longer, and it's hard to do if you don't have this innovation, but also allows you the architectural simplicity without doing a whole bunch of tiering. Some of these are five or six different types of tiering to get the cost-effectiveness, even then they don't get the capacity, but it's really the cogs. So we talk about this cost of goods, but for these big service providers or cloud service providers, let's say they have a 60% margin business, you just do quick math and it, that's a good margin, maybe not world-class, but literally, if we can take that 40% cost of goods and in these platforms, 80% plus, 80 and 90% of that cost is actually the platform itself, the network, the compute, the storage to do all the analytics, if we can free up 58%, literally they're seeing their margins go from 60% to 76%, 86%, and that's like game-changing, and that's like, okay, that's okay, they're making more money, I get it, no, no, it's billions of dollars in valuation, which changes overnight. Yeah, and I think in Gen AI's case in particular, you're seeing a lot of people saying, I want to have this LLM or as we would call them SLMs, a segmented language model over here, and then I want this one over here, and I want this one over here, so maybe this is for the CFO's organization, maybe this is for the marketing's organization, where they're trying to keep it private, so I think, again, you hit on it a little bit briefly, but being able to be anywhere in the world with the data being localized so that you can meet those regulations like GDPR and a number of the different European ones and some of that's coming to Canada and I think it's PIPA up in Canada and all of these things that really are key, but how does that affect the latencies and how does that affect the performance, because that's the key? I mean, everybody wants their data and object storage like S3, it's cost-effective, secure, durable, available all over the world, however, it's slow, or at least thought of it as being slow, it's thought of as an ETL location or archival, well, the audacity of us, we have academic papers on our website to take a look, but we had the audacity to come up with new computer science, new architecture that allowed that first read to be high performance, and that's something that with existing technologies like Lucene and Parquet, it's really hard to do, but what we did was we created a new representation, a new architecture that allows large-scale search, large-scale relational joints, and do it in a way that it's just automated like a lake would wanna be, but do it in a high-performance way without that tiering, without that cost, and that's how we're uniquely priced, and we can talk about pricing later, but the idea that when you're dealing with that type of scale, I mean, everything's expensive, and we uniquely drop that price because of the innovation, because of that low latency, chaos, Lake DB. And I'll give you an example of that, so land your data anywhere of any of your S3 locations or GCS locations around the world, and it's in your dashboard and in the world in a minute. It's amazing what we can do. Now, we are leveraging, and in fact, the GM of Amazon S3 gave us a really good quote for the announcement, because it's all, it's the attributes. We pick up the attributes, our attributes for a database are based on the attributes of S3. Think about all the durability, the security, the availability of those solution sets, land it, and it's available immediately, so you pick up all those attributes, but literally land anyone in the world and it's in your dashboard in a minute, and queries are in seconds. We don't have provision storage, right? It is a service. Think about, we have customers go from, let's say Black Friday, 50 terabytes of ingestion per day, up to 500. We don't have to provision that storage. We just have elastic compute that scales up, scales out, or scales down. And the innovation is now to make that fast, right? So, and that's where the six patents go. Anyway, so this is why we're excited about this. Yeah, I think that's a good jumping off point, because I mean, customers want to understand what's in it for them, and I think you have some pretty big customers who really have, you know, really leaned into Lake DB, and one of them in particular was Equifax, who just released a white paper with you, in which they don't take lightly on that stuff, having been on that side of the fence. So, what was the story with Equifax, and how are they using it? Yeah, so if you go across, I'll jump, and then you jump in, listen, I think if you go across all our customers, the story is very consistent across all of them, but I'll talk about Equifax specifically, but if you look at Clarner, Cloud and Pure Games, Cisco, Equifax consistent, what they do is they look at a unified data, like they bring things together, and they're able to do a lot of consolidations, but also automation. So, what Equifax did is, again, it's similar, they are able to save, in fact, they're after two years in production, and it is hard to get these things in writing, but a 90% hard dollar savings, 90% savings on what they're doing, but they went across multiple divisions, and they're running across both Amazon and Google. They're isolating their data where they need to isolate it in different geographic areas for different business units, but they're able to, again, you aggregate and consolidate all that data to one platform, and then what you're doing with the platform we have, you give stateless compute to different groups to spin up, they're not conflicting with each other to use this one unified data lake for both operational business. So they're using it for operational use cases, observability, or they're all using for security to the lake as well, and then they always have the business side that wants to get act after that data sets and go after. So their case study is actually on the website. I love the quote from Jeff Kinshurf, ran worldwide SREs, he's gotten a big promotion sense, but again, a great executive, but he looked at technology and said, listen, I don't think about where I'm landing data, it's just there to query, which if you think about this, you know, think about all things that are leaving out. And database worlds, that doesn't have to happen. It's not the pipeline, the pipeline to that data lake, and that data lake, and oh, I have to replicate it from here to here. That's all taken care of in the platform, largely based upon this fabric of this object storage. The other one he says, also I looked at disparate solutions around analytics, and to bring it back together, I save a lot of time and complexity. So you'll see that pretty consistently, but yeah, Equifax is a great customer, it's a great customer study, it's right on the website as well. And when we started talking to them early on, now this is many years ago, they were moving to the cloud, and they had a conceptual architecture that they want to have to build out their business units. And we were the only company that had that vision of transforming your data lake into this, you know, elastic analytical fabric that allows business users to quickly ease, and that was the key thing. I want a new stream of data to be available within the day, not weeks of months of toil that typically goes on. Yeah, I think that to me is one of the biggest things is the ingestion is always a problem. There's people who've written, hey, we're going to land it in S3, and then we have an ODBC driver that we've gone and open source built, and now what's the scalability of that? What's the complexity to that? This is all gone, right, with what you're doing. Well, not only do you have to make obvious storage fast, right, that's hard enough, but the idea that if I could have a data lake philosophy, we know what lakes are great, just stream in opaque data, and then worry about it later, but that takes time, that takes cost and complexity. We had the DASI again to say, what if we auto discover the data stream, fully index it, and allow you to publish views, virtual views that can be search or SQL, and if you did that, think about all the complexity of setting up a pipeline, the complexity of setting your schema. Now, with our technology, you can virtually change the schema after it's been ingested. You don't have to worry about re-indexing, particularly at petabyte scale, and so solving that problem of stream it in and immediately get notified to index it and make it available, that's something that no one does, and particularly in this lake warehousing viewpoint, that's something that, it's more of a warehouse than a database. With this live ingestion, we're more like a database than, say, a lake could ever be. Right. And if you think about it, the other thing about this, the pipeline, it's a lot of time and energy and everyone wants to avoid it, but also we're taking close to raw, give it to as raw as you can, and we're indexing that fully, it allows you to later, the pipeline naturally, you throw out data, you're really trying to put unstructured data into structured schema. You are really throwing, you're deciding in advance what you're not going to keep. And then, of course, if you don't construct, they're not even keeping whole lineage of log types because they just can't afford it with us, constructively do it, but we take it as raw as you want, nested JSON type of artifacts, and then later, you can go through it in any level detail. Now, once you unleash things like GenAI on it, now to have all that data in one unified repository, and in its full nature, not something that's been, you know, parsed down as small as you can, because you can't afford it otherwise, that's where the power really comes out. And that's where we see the, GenAI is going to rally cry of, you really can use and you should have all your data points. And you want schema on reflexability that we, the lakes promise, but it was slow. Schema on reflexability with schema on right performance. And that's what we're trying to bring to the market. And I think again, the having the GenAI on top of it, also with, I mean, let's put it mildly, we've talked about it, budgets are not getting any bigger. How are you going to understand how to use the data and make the data usable? Having that GenAI as that co-pilot-ish thing that can help you find out and see the insights in your data, because it's beyond what you can, as humans can think of, it sees relations. It'll make those people who are the DBAs better at what they do help them come up with better queries. That's where you're going with that, right? You know, and we jumped in really early on this GenAI path that, now it's all over, right? And the idea that, now we don't share data with the LM, particularly public LMS, but we use the LM as a reasoning engine to help us ask intelligent questions on our database. And then you can think about it. You may say, I'm a security analyst. How do I discover failed logins over the last five years? And having that conversation without necessarily being a security expert, or understanding SQL, or understanding looker or tableau type controls, having that conversation to provide those answers with the LM, with our database, it's a great combo. It's definitely a rally cry in the industry. And if you haven't really looked at what, you know, these tools can do for you. And we do see it going from, our first move was using the public model in a safe way, but we see people now, it's our ability to orchestrate between the application, the model innovation, other people doing our sewer powers, getting all this data cost effectively together. But then what we do is you bring these things in. So if you use a public model, we allow you to use it without sharing anything with a public model, but also at scale. Well, as we see people using different private models, that's the innovation and integrating that in orchestrating that is a natural act of what we do in the backend. And that's why having search and SQL, you know, there are certain questions you need to ask that, you know, one type of database really can't solve. And so through train of thought, unique prompting that we do, you can ask search and SQL questions to really derive the value that you're trying to seek out. And, you know, no flu stations because we don't ask the LM for the answer. Yeah, no, that makes total sense. So, you know, great announcement today and things are coming. Where should people go to find more out about this? Yeah, come to ks-search.com. I think a couple of things I'd point out is you'll see a lot of the information about the Lake DB. Thomas mentioned this white paper. We actually took the original academic white paper about technology. We dusted off, put a cover sheet on it, but for those that really want to go deep on what we did and how it's different, architecturally different, you also see how it's not a simple tweak of existing architectures. They also have a good product white paper that goes through it as well. And then of course the Equifax case studies right in the website. Yeah, I think that's key. I think having read a lot of these white papers myself, I think you're getting into the nuts and bolts of what's going on, especially for data teams and what we see as data developers, the development of the data developer who's building the applications on top of the data, being able to understand again to have search, have SQL and Gen AI all in one place across your data is pretty powerful to put it mildly. So I want to thank you both for coming on board and sharing this with us because I think again, it's a lot of fun. We're looking and always trying to bring things to organizations that can help them really get a better feel for how their data can be used and how they can be more effective and cost effective in that use as well. So thank you very much for coming by. Yeah, thank you. Thank you. All right, thank you. And for here and understanding and taking advantage of this news on Lake DB's capabilities and with the launch of Lake DB, we can't wait to hear more as this evolves and the technology continues to evolve. I want to thank you all for watching and stay tuned.


More committees have held their inaugural meeting as members pledged their commitment to ensure proper oversight on MDAs under their supervision. The committee chairman read out this charge at their meeting with members who concurred to the resolutions. Plus, TV Emanuele Hedjene completes the report. Financial crimes, the police, army, firma, and the delegated legislation. They avowed to ensure proper oversight function on all the ministries, departments, agencies, and peristals under their supervision. Chairman of the House Committee on Financial Crimes, Hon. Ginger Obinna and his members vowed to stamp out terrorism, financing, and money laundering out of the country. The committee in preparation for commencement of activities will operate on the following jurisdiction. There shall be a committee of financial crimes consisting of not more than 40 members constituted at the commencement of the life of the House. The committee jurisdictions shall cover oversight of Economic Financial Crimes Commission, EFCC, stroke NFIU. In a similar vein, the chairman of House committees on army and the police in their inaugural speeches pledged to tackle insecurity facing the country as they called on members to support the four-year plan of the committee. The committee members on firma and that of the delegated legislation share some of their resolutions. As such as health and safety standards, environmental protections, financial regulations, and consumer rights, the laws can directly affect the well-being and livelihood of millions of Nigerians. Therefore, it is incumbent on us all to ensure that these laws are made with ultimate care, ensuring that the interests of our citizens are prioritized and protected. We will use instruments of effective legislation, oversight, partnership, knowledge sharing, collaboration, and adherence to best global practices to revitalize, reposition, re-engineer, and re-batch firma, also in a new era of improved road maintenance and efficiency for Nigeria as a nation. The committee members pledged to support their chairman to ensure that the renewed hope agenda of President Bola Ahmed Tinubu meets the yearnings of Nigerians. END


The results of this study suggest that there is a strong association between religiosity, self-esteem, perceived discrimination and stress-related growth among HIV-AIDS patients. Furthermore, the study found that self-esteem has a mediating effect on perceived discrimination and stress-related growth among HIV-AIDS patients. This suggests that interventions aimed at increasing self-esteem could help reduce discrimination and improve stress-related growth among HIV-AIDS patients.


Over the years, philosophers and psychologists alike have speculated over whether we are taught to know the difference between right and wrong, or whether we are predisposed to understanding it. The question of morality has lingered for hundreds of years, and previously, it was widely believed that a human is born a blank slate, with their ideas on right and wrong formed by their environment. This concept concerning morality was proposed by famous 18th century philosopher Jean Jacques Rousseau, who stated that babies were born unknowing of any sense of ethics and that they had to be educated to learn them. This theory has been accepted by the general public for many years, but recently, a new theory has risen to answer this longstanding question. Dr. Karen Wynn runs Yale University's infant cognition center, also known as the Baby Lab. The team of researchers at the infant cognition center have been studying baby behavior for decades, and beginning about eight years ago, they started to conduct a series of tests to examine a baby's understanding of good and bad behavior. These tests were conducted by showing babies age five months old to a puppet show. The puppet show featured a black and white cat trying to open a box, but finding difficulties in its attempts. The show also features two rabbits in different colored shirts, and during its course, the babies are presented with two scenarios. In the first, the rabbit puppet with the green shirt aids the cat in its attempt to open the box, while during the second, the rabbit dressing in the orange shirt deliberately inhibits the cat's ability to open the box by slamming it shut. After the show, a staff member unaware which is the good or bad rabbit will hold both puppets and ask the baby which puppet he or she likes more.  Obviously, the babies are unable to answer through dialogue, but they will reach for the toy they like best. The results? More than 80% of the five-month-old babies showed a liking towards the bunny that helped the cat, and this number increased 87% when tested on three-month-old babies. The study was also conducted on babies age three months, though the children of that age are unable to grab objects, so alternative techniques were used. Numerous studies have shown that a baby will look at something longer if they like it, and for a short time if they don't, so the researchers calculated their chosen rabbit by which one they looked at longer. This information seems to suggest that we were born with innate sense of morality rather than the blank state mentality suggested by Russo. However, the results appear solid. This conclusion of an in-belt sense of morality cannot be drawn too quickly, as a few questions still remain. Russo's theory could still be possible if we consider the possibility that babies had learned the difference between right and wrong in their three months prior to the experiment. Furthermore, more of the five-month-old babies chose the bad puppet than the three-month-old ones. Does this suggest that the older you get, the more your sense of right and wrong fades, or is this simply too early to tell at that age? Leave a comment down below with your thoughts. Thanks for watching, and if you enjoyed, don't forget to subscribe. Also, check out the other great content from Psych2Go!


Hello and welcome to NewsClick. In today's episode of Talking Science and Tech, our discussion is on the human thumb and we are joined by Praveepu Kayastha. The human thumb which is really just this evolutionary miracle which sets us apart from other species and has allowed us to develop all kinds of skills and abilities. And recently there was a new study which has been published in Current Biology of which Katerina Harvati is the corresponding author in which they trace the evolutionary history of the thumb and they talk about how 2 million years ago humans got this massive upgrade. So, to talk about this we have with us Praveepu, Praveepu, can you tell us about the key findings of the study first? Okay, of course as you know what might appear to be a small difference can have massive implications. So, is this itself the massive change or did it lead to a massive change is of course a different question. But if you see what essentially happened is that what is called the opposable thumb became biomechanically much more efficient. What does biomechanical efficiency mean? That it could exert a bigger torque. So, your grip became firmer, you could hold things more firmly and you could provide torque turning motion to it. Now in that doing that the reason that they discovered was the fact that the chimpanzee paradigm as they call it if you look at the chimpanzee's muscle the thumb that small part of the thumb in which this opposable action that develops this was a much smaller muscle than what the human muscle is. And therefore you could increase the torque that you are certain when you held a either a stone or a stick whatever you hold and you could assert a larger torque to it turn it around and it gave you a much finer control of the motion of the hand and the kind of work that we were doing. Let us remember that human tools this history is earlier than two million years. So you have the Australopithecus who have a hand which also goes to make tools. There are other hominid species which are around which also derive from a common stock but they also can make certain kinds of tools. And if you look at the chimpanzee where we split about five to seven million years back we split from that and the various hominid species emerge out of that split that all of them had some kind of construction of the hand which is in between what we have two million years back as it says and the chimpanzee's hand. And while the differences have been known what was not identified till now and that is why this paper is important that what constitutes the significant difference. So more or less it was understood that it was looking at the construction of the hand looking at the bones which are preserved in the fossils. So that record was compared to what the human hand today is or what the human hand would have been say million, two million, three million years back and what were structurally what seemed to be similar in terms of the bones the construction was thought to be the major issue. But here the difference that they have used is looking at the muscle and how they have constructed it will come to that later. And this is the major difference they have identified and the interesting part of this is the consequence of what I would call a relatively small evolutionary change and the consequences that comes about and that's what is also interesting that things which are big changes structurally or otherwise in species they may have relatively less impact. But small changes which appear to be small changes here can have consequences. Of course all of this starts from the fact that you stand up on two legs but that is something we have shared with other primates. So that's not something which sets us apart toolmaking now it's clear toolmaking this is not what set us apart also what really sets us apart from other species and that's why today other species or even primates are small in number and we are much larger in number is the fact that we had this finer control that we could assert in toolmaking and what Engels had identified quite some time back 150 years back as in his dialectics of nature the opposable thumb as basically the what differentiates us from other species and also that he also talked about it that it is not just that it is the that this allows us to do labor allows us to create tools but this is also the product of evolution and the product of human labor in fact he says it quite poetically that the hand is also the product of human labor it itself produces labor but it's also the product of labor so that I think is something which is interesting to see that modern science and the tools we have is confirming some of the conclusions again it was not something unique others have said it as well but it confirms that this was the key differentiator which sets us on a different evolutionary path and which is where we are today so can you also tell us about methodology that the study uses what all it's you know different samples different data that I had collected to come to this conclusion how how did we come here it's interesting because what they did was combine different elements of knowledge and put it together and what they put together was really a model of the muscle now the muscle doesn't exist in the fossil record so how did the first understand what the muscle would have looked like one is of course they have the chimpanzee hand which is available you know the human hand which is available and then you can see the transition between the two that is likely to have occurred so what they did was also look at the points the insertion and the origin points so these are the attachments to the muscle okay which is from here and from here this how the muscle at is attached to the thumb and then of course you compute that what is the force that it assert exerted so this also meant that they create a biomechanical model of the muscle and the hand and this is the interesting work that they did it's a combination of various elements of sciences so to say that the builder really biomechanical model they tested it with the chimpanzee hand and with the human hand they tested it with a number of other species record that they have fossil record that they have and they then tried to see that if you have a gradation between the two where would we put the major change and there it was that this is their major conclusion and that's two million years back that this is one significant change they seem to find and it's also interesting that you have the homo naledi that's another species which seem to have manual dexterity which is similar to the human the Homo sapiens but it had a small the relatively smaller brain size so it is not so much the intelligence which drives evolution that it's thought the brain which drives the dexterity it's really the muscle and the structural change that takes place that drove the evolution process and of course it does mean that at some point it means also you stand erect you have what would be called the evolution of the brain all of that will take place you have also since it's also the organ of labor it produces labor but also means it's also allowing for cooperation to take place in the human species so it is also an evolutionary impulse for other changes that would take place which would take place biologically as well so all of this as has been posited much earlier again I come back to it started with proposing the thumb is what makes human beings a tool making animal because it adds to dexterity and it give this is what they call by making mechanical efficiency or torque that you can have the twisting motion that that the hand allows and you have much time to grip as a consequence but all of that is difficult to deduce purely from the fossil record so the real change of understanding is creating this model the biomechanical model of the hand modeling it with existing hands existing chimpanzee hands all of it now they have criticisms of this method as well people have said well you know this is been known earlier and how correct is it to take the insertion points the size of the bones as a basis for the muscle that is one question mark what about other muscles of the hand can all of them combine to produce a similar effect of these are of course part of science that you raise because you have solved this particular problem it doesn't mean people accept that solution not doesn't does it mean that other problems do not exist in this particular solution so I think this is this is an interesting observation of the development of science itself when you solve the particular problem quotes within quotes all that it raises a certain set of other problems and it also is something which can be questioned and then we can test whether that this solution that has been offered is it the right one do other solutions exist which will give similar results or is there something which contraverts contradicts what we have got but the interesting problem the this interesting solution here is that it is needed various disciplines to look at what appears to be at the end an evolutionary biology problem and that always I think is interesting to show that how science today doesn't move in narrow disciplines but it needs a set of disciplines to make observations which could have major implications for a particular discipline and finally probably like you mentioned right in the beginning about the social consequences of us of a thumb being developed can you tell us more about that what kinds of abilities what brute did humans take after we got the thumb well we had the thumb so we got the opposable thumb yeah when you got a more efficient opposable thumb now the interesting part of it is the kind of social consequences that follow first is it expands the biological niche that we had that means you suddenly see that you can now do many more things that you would not have done otherwise so you get access to new foods you can break of course bones which you could do with rather big hammer-like stone tools which you had developed you now have the ability to scrape the skins of fallen animals or the animals you kill you have then projectiles that you develop to kill big animals which you otherwise would not probably hunt in fact it was argued that human civilization human beings started really as scavengers that you looked for dead carcasses killed by big cats and then of you acted like the hinders do taking care of whatever was left of after they had feasted so all of this is one part of it but you also got the ability to for instance break things break fruit shells pre-digests so to say by hammering various things and breaking the fiber so they become something that you can then eat so you your ecological niche expands so your ability to eat more food stuff or procure more food stuff expands there's also some record that fishing becomes more common after a certain point of this evolution so it can be conjectured maybe that one of the consequences also looking at fishes so all of this could be argued is a the advantage that humans got the early humans got from having an opposable thumb and of course there are others you know subspeciation that continues you have Nyanthathals you have modern humans they seem to share though the construction is slightly different from the hand they seem to share the biomechanical efficiencies so these are some of the things which would seem to indicate that this was a major driver of the ability of human beings to then develop more complex societies and it's also interesting the brain centers for speech so to say seem to arise after your hand had got modified and therefore the thesis that has been argued many times not that this is the this paper throws a new light on that this is something which has been discussed earlier as well that it is the ability to form complex groups or larger groups that requires communication for tasks which have to be done jointly that language is the necessity for complex organizations to be built and the complex organizations can be built when you have larger access to food and if you have larger access to food or you need to organize to get larger access to food then joint labor needs speech otherwise as you can if you can manage with a few set of sounds there is no evolutionary reason why you should develop sentences so there are animals which create quite a complex pattern of sounds and as we now know the birds have even a separate center of the voice they have another voice organ they can make complex sounds but the point is because they do not do coordinated labor therefore they don't have a language though they have the capacity physically to produce complex sounds or string a complex set of sounds together so this is the second argument that one of the major consequences not just enlarging the ecological niche that humans had but also the ability to perhaps coordinate with each other as a part of complex labor process and the complex labor process really came about because of ultimately the thumb thank you for joining us today in this discussion and that's all the time we have keep watching news click


uff man good stuff it's kind of boxer looking for this break mosaic uh basley thunder red kevin love calves it's why it's nice to be on a full case mosaic there's always one box which is gas i don't know i i mean hey if it's good to that every time klaxon by all means please i don't want you to talk trash but hey if that's if this is the result then i cannot i i can't argue with the process sometimes the facts are the facts i'm gonna pass out so hungry oh that's a lot of cargo let me get some water real quick what was that water too hey i'm gonna mess right now don't know what the jelly for it no anthony where is it where is the bill russell documentary so that dude had a pretty incredible life mosaic uh compasso nuggets red tray young atlanta yeah zack we had to move it mosaic taris maxi 76ers because it was full and this one uh this one wasn't green and mobly if you need a link i can get it to you yeah we had to move iMac up because it was sold out mosaic wasn't sorry about the the confusion there but very rare last second change of plans for us netflix and i don't have netflix anymore i don't think i'll get it either i'll have to uh find another way to watch it or just watch it or friends play something silver zion pelicans 75th anniversary sabonis kings straight fire jama rance moody duarte mosaic pat bev teawolves red primo debut spurs silver edwards teawolves red mosaic valentunas pelicans giddy debut ebb and mobly national pride yeah guys it's super cool mixer link is in chat as well right now shan's gonna buy me a spot for my uh my birthday it's in june but he's gonna buy me anil mosaic rookie nix quintin grimes got uh red frank jackson pistons i'm gonna get him a uh a yankee candle gift card for his birthday don't love it that's even steven right there such a good gift giver yeah from the bottom of my heart oh i'm at public soil is this birthday crap crap crap got uh pacers ricky auto chris duarte they go pacers silver nix claxon hats red mosaic to mark uh darkest cousins bucks it's like what you get in your stocking at christmas yeah whoo there he is the man right there lebron james stained glass there he is the man of the the man of the hour lakers rogeram lebron stained glass that's going into mag for sure uh fun fact good at basketball lebron james fun fact bronze vagner cameron thomas what a pack cameron thomas and lebron in the same pack two best scorers in mba history mosaic dylan brooks grizzly's guy that wants to start all the fights red diamond michael jazz stair masters cp3 scotty barns national pride i wish in this they would do national pride something other than the united states and get some other you know get like yoke itch and donch itch national prides and stuff silver rudie gay jazz you got a red mosaic suggs magic rookie would be pretty swell if they did that mosaic uh jimmy butler a heat red covington blazers montage levine diamond michael oh jeez i don't know about that silver kawaii Leonard clippers all in b8 blue mosaic now is a lukega guards up pistons rookie 24 of 99 their sunmu debut keon johnson two more i want to see another box like a last couple so i haven't seen a translucent or a rookie eruption yet what do you think sam wants for lunch uh a wafer or a knuckle sandwich i'll serve him up a free knuckle sandwich put some mustard on it rookie debut mosaic france vagner magic red rookie moses moody warriors yeah guys if anyone's gonna be in a burbank show this weekend if you want a free knuckle sandwich just head on over to the latin booth yeah i got them all day long but we will for real be in burbank this weekend you guys lane and shawn are flying out tomorrow so definitely come see us if you're gonna be at the burbank show and uh cali absolutely silver nets day run sharp blue mosaic erik gordon rockets 80 of 99 you'll probably get traded right gordon maybe or not maybe not probably but maybe straight fire lamello garza shingoon mosaic macabre just sun's red drew holiday bucks john marant uh moments mosaic silver miles turner pacers god red mosaic joe harris and nets oh well all right who knows anymore dude i don't know every day i come in i don't know mosaic uh self extrovert williams red rookie mama kelly shavilly for the bucks introductions mosaic evan mobley cavaliers mobley sugg says a mobley debut sugg's base here's our auto it is a nicks rookie miles of bride mosaic auto silver rookie jr mi robert central thunder white mosaic white howard lakers 125 that is a taiwanese league legend white howard that's where he's playing right taiwan stained glass evan mobley cleveland now here you go doi get the rookie mo uh stained glass magged yeah second half of the case definitely uh definitely delivering course here we needed to go after the first half pretty tough first half mosaic desmond bain grizzlies who got red tire or not red but 75th anniversary tiries maxi sixers ravine stair masters cameron thomas national pride there you go man congrats silver connelly jazz red mosaic durant for the uh for the nets national pride kade cunning impistons will he be a net by the end of tomorrow oh geez mojo you got some serious heat coming your way from us good god mosaic christian wood rockets we've got a red jordan pool warriors holy crap man two ways what gold cr7 herty auto kate auto scotty barns rising star white mosaic translucent cp3 joe b hollow here is gold my home's game cards gold that's a that's that's a lot of gas right there yeah all right guys last box daytime silver for the uh sun's cameron pain red nicks alec berks france vagner debut last one y'all let's see a monster to close out the daytime 1984 so he broke wilts record so almost 40 years 39 years just about whoo it's a long time hold the record like that who is third behind kareem who is the third leading scorer mba history behind kareem now ricky mosaic greg round the third blazers nope no a few people a few people pass wilt but then get to kareem got blue mosaic jimmy butler for the heat five out of 99 i would assume what jordan maybe bird per mellow camp durk did durk get up there coby i would make probably coby alone yeah i'm alone that makes sense he played forever right right uh silver jandre hunts or hawks red bobby portis bucks trailing green mosaic joe harris nets red rookie national pride davie i mitchell kinks i think it's not cam tom is not yet anyway he's getting there uh mosaic introductions chris duarte pacers it is malone is malone is third malone is third for sure pretty sure it is malone right i think a few people are saying that because a few people got between kareem and wilt a few people did mosaic maxi sixers red scottie barnes rookie raptors red scottie there edwards montage mosaic scottie base i believe it is let me take one second here sam is not doing anything right anyway it is malone malone has 36 928 so he was about 1500 behind kareem coby was behind well coby was behind malone but he was like over 3k behind malone holy crap dude malone just played it forever at a high level right yeah he played like 100 more games than mj than dirk then wilt okay so malone coby mj dirk are between wilt and kareem after wilt it's a guy who couldn't even shoot shekelo neal couldn't shoot couldn't couldn't shoot still got 28k points you got a yokey noah bowls mosaic auto here go bowls silver trimmer for the third debut for the uh for the pelicans red gary harris magic getty overdrive for the for the thunder there dwarte kade do the research all right everybody needs to calm down i said it was probably malone like take it easy yeah i'll just turn off chat for the rest of this break then all this attitude frank jackson silver for the pistons red mosaic uh kevin dirant national pride for the nets sit for me today uh starting five clippers right there mosaic then a shooter for the rockets red yako portal portal for the spurs rising stars tyrese halliburton mosaic for the pacers silver draymond green uh warriors red zion williams and pelicans there's a stockton magic probably best passers in history silver kaminga rookie for the warriors red knurkage blazers assist like assist leader can be like a thing but like best passer i don't know that isn't like assist leader isn't necessarily mean yeah assist leader all time magic magic and stockton come to my mind those are the two rookie mosaic isaac tide wizards kid for sure nash white chocolate behind the back you got gold here miles bridges hornets five out of ten hoping for a bigger gold stare masters dante murray mobly giddy all righty still real quick recap you guys had those up for daytime today so here are our autos you had yokey moa that's bulls yokey moa miles of bride chris duarte jayland brunson window carter jr charles bassie quentin richardson jay shawntate isaac tawd out print shingoon we had a stained glass lamello auto davion michael and a white stare master step carry to 25 for the warriors we had mosaic autos zion williamson pelicans white mosaic rookie opera and shingoon rockets big rockets card there three of 25 stained glass rookie ebb and mobily cavaliers stained glass lebron james and gold national pride step curry warriors number two of ten that is going to do it thanks again everybody appreciate y'all for filling up the breaks today sam's live in about an hour and a half group break start at five p.m. eastern y'all have a good night maybe i'll see you and chat a little bit see you get that uploaded and we out a super bowl mixer saturday saturday it's at saturday saturday it's at 23 to go 23 to go i'm pulling brady rookie uh no way rich is probably going to hurt that box never mind love bum james yeah um yeah guys that'll do it so we'll mix your saturday y'all take care we'll see you in about an hour and a half see you


Okay, we're back here live inside theCUBE. This is siliconangle.com, exclusive coverage of HP Discover 2012 in Frankfurt, Germany. I'm John Furrier, the founder of siliconangle.com, and we're here to extract a single from the noise of what's happening around HP, extracting the news, the analysis, and the guests here. I'm joined by my co-host. I'm Dave Vellante, wikibon.org, number one in real-time research. Check out the wiki. We just produced a manifesto on software-led infrastructure, another one on software-led storage. We got folks analyzing yesterday's HP announcements in the context of our framework for software-led storage, so take a look at that, chime in, hit edit, love to have your feedback. Hit us up on Twitter, I'm at Dave Vellante. He's at Furrier, send us questions, and we'll get him in. And we're here with Sam Rutledge, who is with Softcat, really interesting company. Sam met yesterday, love to have you on. Thank you very much for coming on. Good to see you. Softcat is kind of a reseller-turned service provider. And I know you guys have said, hey, we're proud of the fact that we're a reseller. A lot of people hide from that. And not us, that's where the rubber meets the road, baby. Exactly, we love being a reseller. We love getting out there and putting this stuff in for customers, but increasingly people want to consume it as a service, so it would be silly if it's not to react to that and build that part of our business also. You'd be very proactive there. I mean, a lot of the folks in the channel are looking at cloud, kind of scratching their heads, trying to figure out what to do with it, maybe putting forth some consulting services that whose ultimate outcome is, don't go to the cloud. You give me a, but yeah. You guys, I guess the outcome is what they don't have to sell. That's right, exactly. So you're taking a different approach, being very aggressive there. So talk about that and how's it going? So I don't know whether it's necessarily being really aggressive. What we're trying to do is come up with options for customers. So we see some customers wanting to own and run it and keep hold of their data and not let it get away from them. We see some customers wanting to focus less and less on infrastructure and more and more on applications and the services that they deliver to the business. And I guess we want to be all things to all people in that space, the Burger King, if you like, of cloud. Have it your way, have it on-premise, have it off-premise, we'll run it for you. So this isn't a pivot for our business. This isn't us changing and saying, we're going to stop being a traditional reseller or a traditional solutions provider. We love that stuff. This is about us presenting options for our customers and putting an arm around them and helping them get down that route if it's appropriate for their business. It's as simple as that, really. So how does that option manifest itself if it is something like cloud? You deploying your own cloud, you just got a multiple, you have a menu of clouds you can choose from. Can I go to Amazon through you? Talk about that a little bit. So at the minute, it's predominantly infrastructure as a service. So we use the platform obviously based on HP technology to deliver infrastructure as a service and we find customers using that for disaster recovery. That was probably the first use case. We find customers outsourcing particular applications to us that they find ugly and find a problem to manage internally. And we're starting to see customers take infrastructure as a service for everything. Just get rid of their own infrastructure and transition. Takes a little while, everything into our platform. So it's kind of an infrastructure platform that we can deliver to customers in those different ways, really. So it's a soft-cat cloud? Yeah, cloud soft-cat, we call it. Cloud soft-cat. So, okay, good. I'm a little dyslexic. No, don't worry. Amazon had its big re-invent conference last week. We're seeing Amazon get much, much more aggressive in the enterprise. We were at Oracle Open World. Amazon was there with the booth. They were trolling around VMworld. So we're seeing them much, much more. What are your clients saying about that? Is there visibility there? Are they looking to go there? What's your advice, specifically with respect to something like Amazon? Okay, so it's interesting that with the Amazon thing and there are other organizations getting on for that size and scale, we're not quite there in the cloud space. And don't get me wrong, that's fantastic. And we're never going to compete with Amazon at the scale that they work at. But one thing that our customers find is that they want a helping hand. They want someone to put their arm around them and lead them on this journey. Because if you're a mid-sized organization, you can't afford to have cloud architects and cloud propositions guys just sitting around theorizing about this stuff. You need to think about the way that you're doing with the resource that you've got today.  I mean, that's fascinating. That's using stuff in a different way. For our customers with their traditional on-premise applications getting into a new world, they want to get there slowly. They want somebody that they can phone up. I firmly believe that there's a service angle in cloud. A customer service angle as much as anything. An opportunity for an organization like ours who knows their customers really well is the friendly face of IT, hopefully, for them. Who knows infrastructure? Who knows their infrastructure specifically and can help them with that gentle migration, perhaps. How about the SLA issue? I mean, Amazon last week said we've... John, I'm sure you heard this too. We've never lost a piece of business due to an SLA. And now I'm saying, well, of course you have. I know so many customers have said, I'll never put this data in the Amazon Cloud. They just don't know about it. But you didn't bring that up, which I was intriguing to me. But is that a point on customers' mind? In other words, I always describe the Amazon SLA as fluid. We'll do our best. And if we don't, just send us an email. We'll get back to you.  Yeah, absolutely. That's cool.  I mean, there's an argument that in theory, the scale should give them that level of availability that they can't afford to have themselves on-premise. But I guess the reality is slightly different. I think customers are realistic. They understand that this stuff is complicated and that it's going to go down. It's going to stop working, even if you're Amazon, unfortunately. But I think what customers do want or what our customers want is somebody that they can phone. You said it's gone down, email us. For me, our customers want to be able to phone their account manager, their service delivery manager, get hold of me, get, you know. Some of our customers probably even have the MDs mobile and then we can give them a call on a Sunday if it's gone wrong. That's the sort of level of service that our customers want as they move this stuff into cloud-type environments. Yeah, people are realistic about the fact that technology goes wrong. It's how you deal with it and how you approach that problem. Now, we talked yesterday about this. I called it the gap between what cloud service providers are doing and what the IT shops are doing. You guys are investing, I presume you're growing. Yeah, absolutely. We just put out a press release last week about wanting to double our tech team to feel future growth. You're doubling. I don't know a lot of IT shops that are doubling. I mean, there are some, but some of the web guys, but most aren't. Most are flat to down. Budgets are flat to down. Maybe they're up a little bit. So there's this innovation gap occurring. You guys are innovating like crazy. You're building out all kinds of management systems. You're investing in infrastructure as a service. And as I say, traditional IT shops get sort of baselineed. Now, how long can that continue? Doesn't it make sense that more and more customers are just going to put stuff into the cloud? And at the same time, it seems like with the pervasiveness of virtualization, this seems like traditional ITs hanging on pretty well. What do you see there? Is it up against the dam? We hold in the water back and it's just about to break? Or is IT catching up to you? I guess to see exactly what you said first. You know, a bit of both. So, you're right in that there comes a point when scale becomes important and where people gradually migrate to the infrastructure as a service providers and help them to innovate rather than perhaps in corporate IT. But people still like to have their own servers. People still like to be able to run downstairs to the server room and reboot stuff or go and shout at the IT guy or something. Companies like that stuff. So, and there are still organizations that we know of that are building out their own, effectively internal infrastructure as a service platforms or platforms to deliver applications to their customers. So there's still going to be a need for customers to build and run their own for some considerable future. I'm an absolute firm believer in the fact that the world will be hybrid for the next period as more or less as far as we can see in advance.  That technology never went away. Sam, can I get a question in there? Sure. Ha! Ha! Good, Scott. One more, John. One more.  I taught Dave never give up the microphone. Obviously, you guys are investing, which is by the way, you were the star of the panel yesterday. You're too kind, so thank you. It was good. No, it's nice to hear, but I want to get your perspective on the cloud. I mean, honestly, we've been talking about the cloud going back when we started SiliconANGLE in 2009. There was a big promise. The whole world was running to the cloud as fast as possible. It was just huge migration, a tsunami. You could hear the footsteps, and all of a sudden it's like, ugh, where is everybody, right? So, you know, everyone's coming, but a couple of things happened. SSDs came really on the scene quickly. Cost dropped on the hardware side. So, it kind of created some on-premise innovation and efficiency. So, people were doing stuff on-prem, plus it's risky putting the cloud. So, that's all happened. But where are we now? I want to get your perspective. State of the industry, where are we with cloud? Obviously, HP's got a couple of different strategies within cloud, we'll get that in a second. You know, private cloud, hybrid cloud, and they got the cloud business. Where are we with cloud? I mean, what is it, what is the state of the union for cloud from your perspective? Okay, so I guess I can only talk about the UK, but we're absolutely seeing an acceleration of this stuff.  Maybe we've been in the, what did Gartner call it, the trough of disillusionment or something like that. I love that expression. It's brilliant. I think people are coming out of that. It's absolutely horses for horses. If you're making money, that's how con-illusions can you be. It's like, if money's flying in the door. How many services business grew 1,000% last year? So, you know, that's got to be an indication of people moving in that direction. More intoxicating, less delusional. Hopefully, hopefully, yeah. So it's growing, some real business there. It's definitely growing. You know, this for me is about the skills and the appetite within your organization. Do you have the people within your organization that can drive your infrastructure forward and support your applications in an IT as a service manner? Or are you better concentrating on those applications than the services that you deliver to the business and letting somebody else take care of the infrastructure? And companies will come down to different sides of that argument every time. Depending on the situation. Depending on the situation, depending on their skills, depending on their existing investment in technology, right down to a hardware level. That's absolutely fine. People can do with this what's right for their business. There's no cookie cutter, there's just innovation. No cookie cutter, exactly that. There's no prescribed way of doing this.  We look at the law that's from London. And we get a lot of traffic from in the UK. So London's been exploding on the tech scene. Could you just share some color around London and the tech scene there? What's it like and is it massively growing? And it seems to be really technically built in and growing. So what's the state of London at this point? So I think we operate more in the, I suppose specifically the infrastructure space, of course. But there does seem to be a big sort of upswing in things around social media and application development and that sort of thing. My little bro works in that side of the world and there's definitely some energy there. There's this concept of this thing called Silicon Roundabout which is around Old Street, sort of in London. And there seems to be a lot of stuff there, a lot of innovation. It was all your web marketing companies, your design and development companies. And that's moving towards a sort of an appetite culture and community as that business goes. Needless to say, all that stuff is going to drive investment in infrastructure because somewhere some of this stuff's got to run on a server somewhere, right? Absolutely. Okay, so my final question for you is relative to some of the things you talked about in the panel yesterday, scale and scaling up with multi-tenancy was things that you kind of talked about. What are the core things right now that need to get done? And your mind's eye, obviously your business is growing so there's some validation there that the business models are changing which we've been talking about, check that box. But actually security and some other things around multi-tenancy, you're always a hot topic. Hybrid cloud seems to be the sweet spot as we've always talked about the bridge to the real public cloud. What are the areas in your mind's eye to work on for some of the cloud area? So I guess the big thing for us is probably the connectivity aspect. That is the bit that slows this progress down really quickly. If we need to get a line for a customer into our data center or something like that, that can take a long time to get that sorted. That's probably the almost the most difficult bit about this stuff. Comm's is still important. Hopefully we're going to get 4G in the UK shortly. It's in some cities already. People need to be able to access those applications faster and faster and that will drive, I think, more and more a centralization of IT services towards those points of internet presence. Okay, Sam Rutledge here inside theCUBE. From SoftCat, welcome to theCUBE and thanks for your time here. Congratulations and a great panel. Yes, yesterday at the BigHP storage announcement. Thanks for coming on. We'll be right back with our next guest after this short break.


So I want to start with an was it on a positive note Business as usual is dead And this has a lot of implications Business as usual means for example companies having control of their customers controlling distribution like record labels Controlling distribution like movie companies also banks having control of our money not much we could do with that Basically what's happening because of mobile internet broadband wireless cheap devices is that business as usual is over When you're at the airport checking in you can use a flight tracker app and you will know more about the flight That's departing than the woman at the gate We're talking about empowerment mind-boggling So for a lot of companies this is not a good thing because companies are thinking you know This is cool for us as a consumer, but as a company that's bad news and worst of all if you're in marketing People will completely ignore you unless they like you Wow, what kind of reality is that you know this has been our personal reality for a long time But now it's actually happening to advertisers in other words if people don't want to hear from you You'll you don't exist and this is so true on mobile. I'm mobile I mean we're seeing this whole trend, you know, this is the people in auguration in 2005 the upper image, you know where people had a couple mobile devices, but here in 2013 everybody has a mobile Think about this five years into the future, you know 50 popes later. Just kidding. He'll be around for longer than that In 2013 this in 2018 nobody will have anything in their hands because guess what it's just there Scary thought This device is a device called the nest a thermostat That connects your house Electricity and water use your appliances utilities to a mobile phone app and the internet and Facebook if you so wish To help you save energy This amazing device basically monitors everything that you do at home And then you can share with others and there's calculations showing that this device would help people to save 40% of energy in the houses if everybody had it Now there's discussions about mandating smart meters You can sit in your car on the way home and change the air condition to the iPhone app Now that is useful Not as useful as a twittering plant Or a horse that talks to you through Twitter, you know like other people have shown So think about this. I mean smart technology Could have the same effect on global warming than turning over to renewable energies the same effect So in other words if we turn to renewable energy and we use smart technology to reduce consumption make it more efficient We can solve this global warming problem


Cultural sensitivity derives from the differences among different cultures throughout the world. In the context of English teaching, teachers who move to another country must seriously consider the cultural pattern in the targeted country or region. 1. Learn about a new culture. Cultural diversity is by default a very interesting topic, and teachers should prioritize in gaining more knowledge regarding the new culture into which they will be integrated. They have to be culturally sensitive during the lesson and be aware of the cultural differences that may arise. Before moving to different regions of the world, teachers should do thorough research about the country via books, travel guides, and magazines. Internet is the best resource and thus they should devote remarkable time to become familiar with the culture of their students, the history of the country, demographics, the geography, the dress code, and what it hears to the classroom. 2. Control your actions. Moreover at the beginning of their stay teachers must be conservative in their behavior, speech, and actions. They will need time to adapt and feel confident in order not to cause any offense. Concerning greetings, teachers must learn about the formal or informal greetings of the new country until they find appropriate alternatives. During the process of teaching, teachers will be able to develop their greetings and codes with students a process that embraces the familiarity of the teachers with their new working environment and their adaptability in a completely new country. 3. Consider sociopolitical environment. English teachers must be culturally sensitive in a classroom in terms of political and social matters. Sociopolitical issues are a very sensitive topic, and one must be discreet and conservative particularly when he becomes a resident of a completely new country or region. The sociopolitical framework of a country might utterly differ from others, and thus teachers have to be on the safe side, and never speak of those issues in the classroom unless they believe that their opinion will not be misrepresented. Stereotypes as a key cultural aspect can easily mislead people's viewpoint. Consequently the teacher has to review if there is any truth in those stereotypes, and act accordingly both inside and outside the classroom. Besides this, teachers must be very aware of what and whom they discuss in the classroom. People from the organization who are not present in the classroom should never be discussed, and that stems from the teacher's attention and maturity. Another issue regarding teachers' behavior is the sarcastic comments towards his students. Unfortunately sarcasm is not perceived equally by all individuals let alone young people, and that's why teachers should avoid sarcastic comments in the classroom. Are you ready to teach English abroad? Take a TEFL course today. Overall teachers should bear in mind that a new country can embrace them, only if they are willing to immerse themselves into the culture and be flexible within their surroundings. Cultural sensitivity must be the vantage point of an English teacher as a foreigner in a new country, and from this point he will be able to embrace the new culture as well as the classroom's environment. Thank you so much for watching. We are ITTT, the leading provider for TEFL and TESOL training courses. If you liked this video, please subscribe by clicking that button down here, and click on any of the videos here on the left for more interesting teaching tips for getting certified to teach English abroad and online.