oh, I thought End-to-End refers to the what we mean in machine learning world, input some state of the factory and output planning decisions purely by a neural network. in fact they meant the whole productions process from the first operation process to the last. I bet few deep learning models used here, mainly still use traditional optimization technologies.
@mro5858Ай бұрын
A very great investment!
@barathseshadhriАй бұрын
Very amazing product, I have the similar idea in ESG for the product
@mrrightorwrong6272Ай бұрын
I'm a buyer at 23 bucks maybe but will see
@sidibouchritАй бұрын
Hopefully C3 AI will go back to $183.00 per share
@GSMillionАй бұрын
This stock is the future
@MichaelMuthurajahАй бұрын
Brilliant i cant wait to learn this application
@MichaelMuthurajahАй бұрын
Brilliant thanks for this quick informative video
@user-yn9vp4xn1oАй бұрын
How many GB is the human memory ? What is the human memory ? How long can humans remember for ? Is human memory unlimited ?😂😂😂😂😂😂
@btcmovie.Ай бұрын
I hope you develop C3 AI. Fighting
@ethancochran365Ай бұрын
81 shares at 25$ a share
@SpokiezАй бұрын
😎 Alright Ethan 🥂
@rasuthgowdaАй бұрын
asset management side has potential high margin and less CAPEX or CAC compare to Single corporates !!
@rasuthgowdaАй бұрын
its better but results must be under Success track record so that it has more leverage in overlap of C3 and organisations 👍🏻
@sophiatiantian2 ай бұрын
Can't believe the Google joke didn't land. Cracked me up!
@andresvaldivieso72562 ай бұрын
Do You have the LinkedIn of Sergio Barrios?
@vwynnbolton2 ай бұрын
@Mu_Omega X...
@hayfielddraw43642 ай бұрын
"Deterministic answers"? "Ground truth"? "Free of hallucinations"? I don't have any idea what this company does, and I'm fairly sure they don't either. Go get a real job.
@Joseph-pr2vp2 ай бұрын
🌈 Promo'SM
@DeepValue472 ай бұрын
Did yall really think this presentation would convince other companies to use your mythological product???
@bigsidable2 ай бұрын
SHORTS ARE GETTING THEIR ASS KICKED.
@micah23752 ай бұрын
I believe in you guys
@kindlee34682 ай бұрын
❤hello 🙌👍🏻🤑🤑🤑
@claudiamanta19432 ай бұрын
29:22 That’s APPALLING. Build in-house with your own vetted personnel your own new hardware and new software from scratch, keep your data in your courtyard, and guard your cyber gates more than you guard your nuclear weapons.
@claudiamanta19432 ай бұрын
27:30 Really? China has on its territory at least two cloud data centres ‘partnered’ with a multinational corporation that probably holds US Government data, too. Tell me, General, how can you know in which physical cloud server certain data is kept? 🤨
@claudiamanta19432 ай бұрын
25:46 The ‘adversary’ says ‘Not today because I am busy winning the war’. Atomic weapons…. That’s so 80s 🙄
@claudiamanta19432 ай бұрын
23:49 Maybe the very way you look at it is wrong both methodologically and at a deeper conceptual level…maybe?… Forget about using AI- it only exponentially reflects the idiocy and character deficiencies of those who have built it.
@claudiamanta19432 ай бұрын
23:10 Do you need AI for that?! A simple strategic exercise. There is no hope for humankind. None. Everybody has lost their reasoning faculties which were not great to start with, anyway.
@claudiamanta19432 ай бұрын
16:25 Yes, it does. Speaking of heads’ content, someone will have a lot of explaining to do re cognitive intrusion.
@claudiamanta19432 ай бұрын
15:34 No. No. No. And No, again. Do not put all your eggs in somebody else’s basket (cloud or AI). They are TRAPS, honeypots. I could swear that the cloud services providers’ data centres are better guarded than the national interests are protected. A multinational company doesn’t give a shit about the people of this nation or that nation. Do you? Cause it doesn’t look like it.
@claudiamanta19432 ай бұрын
14:15 That, sir, is one big fucking disgrace. Who has allowed for that to happen?
@GSMillion2 ай бұрын
AI is great. Just extremely volatile as an investor
@KB-nd2od2 ай бұрын
It's all the same statement.
@Susan-sn8fx2 ай бұрын
Cavuto has to stop interrupting! It’s annoying. It’s best to say less and let the guest speak! We want to hear them finish their sentence!
@restoreamerica15582 ай бұрын
Neil has to get his CIA controlled Narrative in there. He never misses a chance to lie about our forever wars or Trump, RFK or anybody that thinks the deep state has taken over our democracy!
@rk71143 ай бұрын
I have already waited for three years. Some years ago, he said same thing.
@user-qs1yv5bu5b3 ай бұрын
長期で見てます!
@ombasnet34883 ай бұрын
Yes, we want to be happy in 5 years .😀
@LuisTCarbonell3 ай бұрын
@ombasnet34883 ай бұрын
$100 AI stock .
@420_gunna3 ай бұрын
The white suit goes crazy
@cesarelocran3 ай бұрын
😂😂😂😂
@cesarelocran3 ай бұрын
😂😂😂😂😢😮
@huveja97993 ай бұрын
What the speaker does not say is that the hypothesis is that by feeding the training process with trillions of words and trying to predict the masked word, the model will try to "understand" the Language and the World. That's not a fact, it's a hypothesis, probably a product of our anthropomorphization of the model (or dehumanization of the human). By increasing the scale, both in the amount of data, as well as the size of the model, what is done is to increase the ability to capture more complex statistical patterns latent in our Language expression (that is, what we actually express using the ability for Language). Obviously those statistical patterns are going to reflect some aspect of this Language ability and the World encoded through that particular statistic (the World's aspect in turn encoded through the expression of our Language ability). Now, to say that by doing that, it "understands" the Language ability or the World, well, it is like saying that it is possible to understand how ants communicate and also the World by analyzing in an exhaustive way the tracks they leave on the ground ..
@420_gunna3 ай бұрын
🤷♂ "Now, to say that by doing that, it "understands" the Language ability or the World, well, it is like saying that it is possible to understand how ants communicate and also the World by analyzing in an exhaustive way the tracks they leave on the ground .." I'm guessing there is some amount of information in ant communication in the way that they move around on the ground, but you're right in that it doesn't encode anything about (eg) stuff like phermone information. There are also some things that you _can_ infer about the world by analyzing the tracks of ants, assuming you didn't a priori know anything about the word other than ants and their objectives! Information isn't a "yes" or "no" thing, it's a spectrum! (Like you said) And human language certainly encodes a lot of information about _The World_ in it! "Understand" (as far as I know) is a fuzzy word though, like "intelligence" 😄 -- I wouldn't try to argue as to whether even _I_ have either of those things 😜
@huveja97993 ай бұрын
@@420_gunna I can see that you are missing a crucial part of the analogy. You are facing the analogy as a human, and you think that analyzing the tracks of the ants with all the information that you, as a human, already have, and also with the intelligence that you have proven to have, will give you some information (which is true, although it will also give you very partial information). But the correct way to think about the analogy is that you know absolutely nothing about anything, and your only source of information are those tracks. In addition, you don't do this analysis with a brain like ours (which, by the way, we don't know how it works), but you only have at your disposal an extremely basic statistical technique ..
@420_gunna3 ай бұрын
@@huveja9799 Sure, yeah -- I guess the way that I almost think about it is that I'm a language model, and I exist in a narrow, featureless hallway where the only thing that I can see is the next token slowly approaching me from the fog at the end of the hallway, and the only thing that I have to do in life is predict what token will fuzzily materialize from the fog as it approaches (I realize that I'm not including attention-y look-backs, etc). Certainly the only thing that I'm learning is this distribution of tokens, here. (Or like you say in yours, just the tracks and their distribution).
@420_gunna3 ай бұрын
Comparing an ant-footstep sequence model and a language sequence model though... surely the embedding space of the latter is a richer representation of The World than the ant footprints, though? ~Everything of what you and I interact with physically (and much of what we don't) is described in language Whereas I'm curious about what sort of semantically meaningful things you could learn from an ant footprint language model -- "fear, hunger, attack, retreat"? Whereas language has (let's ignore subwords) tokens like Schaudenfreude? If we consider a model that only processes "one thing" (ant footprints, language tokens)... the distribution of those things can have more or less information, right? As we slide that scale up and down, does your answer re: "understanding" about the world change? Do you have any pitch as to what's required for a model to have an "understanding" of the world? Thanks for replies
@huveja97993 ай бұрын
@@420_gunna I like the use of your word "described", the language "describes", that is, it writes down, it puts a mark. Written language would be the equivalent of the trails (footprints) left by humans. The statistical relationships in those marks (spatial position with respect to other symbols and the amount of the different spatial configurations) would be the latent information in those trails. Embedding is a mechanism to efficiently represent that information (much more efficient - orders of magnitude - than Stochastic Matrices - or Markov Matrices-, although the principle would be basically the same). The LLM is a machine capable of computing these embedding (capturing statistical information in a vector space) and performing operations with them (transforming one set of embedding into another using operators that are restricted by this statistical information and manipulate that statistical information). What we call "emergency" is the final architecture of the LLM that implements those operators, and we call it "emergency" to be able to label (to mark) through language a phenomenon that we don't understand, that is, we don't know what those operators are, we don't know how they are produced by the training of the LLM, we cannot replicate their implementation outside of that training, and neither can we use them directly. The configuration of that vector space and the operators that are derived, and restricted, from it is what we call an "understanding" of the world by a model. Basically what is done is to compare human intelligence with those operators, that is, it would be assuming that the principle of human intelligence would be restricted to some vector space and based on some operators that are restricted by this space, and allow manipulating this space. Therefore, all we have to do is improve the LLMs to approximate that vector space, and obtain operators with capabilities similar to those possessed by humans and even better (super-intelligence). If that assumption, i.e. human intelligence restricted to a vector space with a set of operators, is accepted as true (which would be in line with the thinking of pragmatists like Rorty or Dewey), then we can perfectly make the comparison with ants. The only difference would be that ants would be simpler robots than humans ("simpler LLMs"), their vector space would be simpler and therefore their operators would be restricted by that vector space. But even within the mental model where this assumption is true, a model based exclusively on marks (language) and their trails, begins to show its deficiencies, just as the case of ants shows. The trails only are a mirror of the ants' activity, and you can extrapolate many things from that mirror (i.e. the trails), but ants don't work based on those marks, but, among other things, by communicating with pheromones, the marks being a reflection of them. A model based only on those trails, will ignore the pheromones, and will predict that an abandoned path is the way to go, instead of going on a terrain still without trails but with recent pheromones (the right way to go from the perspective of the real ant's working).
@worldwatcher96713 ай бұрын
Excellent interview. Very timely and very informative.