A lot of couch experts in the comments, I guess time will tell if Dmitry's bet will pay off or not. Granted that they are backed my a biggest money printing machine in the world, I'd say they might as well have enough time to get it thru the doors. Everyone talks about scale and driving anywhere, but reality is that people live in densely populated areas and cities. Yes waymo cannot drive in corn fields of Ohio, but who needs it there anyways? Regarding the Lidar and mapping, nothing stops waymo from training their own version of end to end model, because they do have the data (in fact even better data since it's been captures with LIDAR, so there is no need to infer "mapping").

This guy gets it.

I like the talk at 27:10: I think one thing we've seen in this project is that often small amounts of valuable human data can be really useful to seed the agent's behavior and get it from a complete zero state to somewhere much higher where it can interact with the environment in a much more efficient way. Beyond that, it can take it from there and perhaps match or exceed human performance with its own style.

This guy is so humble!

Mark my words, Zoom is gonna eat Microsoft for lunch. You listen to Microsoft CTO and you listen to Zoom CTO. The difference is day and night go Zoom.

The best speaking speed I like.

Elad pls do not rock your chair :)

hehe excellent interview and I really like Andrej .. this being said, regarding Canada, I live there and I guess, it's true, most people don't care about startups, me included. I mean, I had one for some time but I did not really care, I've enough money already and I prefer to keep my energy and time for my kids and hobbies. I sold my shares and while my partner might become richer than me at some point, he works like crazy and does not look very happy. Also I could have moved to the Bay Area like some of my colleagues. But I look at their linkedIn and it seems pretty boring so aside from the weather, I'm not sure I would enjoy the SF startup mentality, I could not care less about status, coworkers egos and shareholders profits for example but it does not stop me from investing by buying stocks.

models aren't plateauing they're declining like valleys. they get dumber over time. just like how voice to text did as well. it was already measured in openai models gpt 4

His company works in the model space , which is a blood bath and has the most intense competition & capital requirements ( OpenAI , Claude, Google) I wonder how he’s going to win that war & what gives him conviction that he can compete with them

that girl sounds terrible. irritating!

Thanks for sharing such valuable information! I have a quick question: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?

Dude leveled up his look so much lol

I love listening to Aidan Gomez, just someone who knows the space so well and ridiculously filtered like the big tech guys. Thanks Aidan, big fan.

the questions being asked are really boring . without technology background , asking some business questions you're interested in bring less value on the table .

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thanks guys.

👍

U can make chips to help with our senses make it jensen

i am not smart enough to even watch this video lol.

Love it but the amount of time the guys MHMM is now implemented in my head

progress here is probably one of the most important pieces of the puzzle

Nice. Thank you for sharing. A particle collider mixed with gravitational wave detection. Dark energy and gravity. Arxiv could be part of the training set. H3 superfluidity boojum and neutrinos falling into a black hole and condensing into a fluidic state. Degeneracy to Planck and is there a preferred color state. Or quantum cryptographic weave and layering types and compression and error correction, ect.. Or psychological profiling and psychology and pharmacology/pharmaceutical functions to human brain functions to algorithmic representations. A.I. used to help tease out functions. Human brain emulation with a twist of modification parameters and better memory. Or modeling social constructs. Bias sets like the brains shorthand link to lexicons used and phrasing and such. Predictive modeling. From war types to civil. Lots of stuff that could be done with that type of system. Then it could be used as a hook/call/tasked into an agent even. Keep up the good work.

nice episode!

Jensen, your stock price is not doing well after Trump won the election. you made a big mistake by not donating to the RNC campaign.

Why doesn't anyone ask Jensen about the price gouging Nvidia is doing with video cards? Why is the RTX 4090 $2000+?? Just 4 years ago the latest video cards were $400. 5x the price?? C'mon.

Elon and Jensen are the most important entrepreneurs in the world 🌎 currently.

Nvidia's Role in the AI Revolution and Future Directions Current Context: Nvidia, led by CEO Jensen Huang, plays a pivotal role in the AI revolution, with a market cap of over $3 trillion and significant investments in scaling computing power (0:16-0:29). Evolution in Computing: Transition from CPUs to GPUs revolutionized computing by enabling parallelization across clusters and data centers, allowing for massive scalability (1:07-1:37). Future Goals: Nvidia aims to double or triple computing performance annually at scale, significantly reducing costs and energy usage, and exceeding traditional Moore's Law (1:43-2:10). Technological Innovations: Codesign & Full Stack: Optimizing both the hardware and software architecture to continue scaling computing performance (3:00-3:36). Data Center Scale: The evolution of NVLink to facilitate high computational needs and low latency in data centers (3:43-4:23). Applications and Data Centers: Transitioning from traditional software coding to AI-driven systems has dramatically increased the efficiency and capabilities of Nvidia’s hardware and software ecosystem (5:00-7:05). AI and Science: AI is increasingly applied in fields like chip design, where it significantly augments human capability by exploring larger design spaces (21:00-22:17). Challenges and Opportunities: Building large-scale data centers and superclusters involve significant challenges in logistics and engineering, like the rapid setup of Elon Musk's x.AI supercluster (15:03-18:49). Future Outlook: Nvidia envisions a future where AI will aid significantly in chip design, making it a major focus area due to its complex and impactful nature (30:09-30:36).

I prefer Lex style of interview format . Felt like Andrej was interrupted too many times before he fully completed his thoughts on that topic.

I agree, using AI as a tool makes a lot more sense than these morons saying it will replace your job , any automated robotics/software system currently in use is limited and requires supervision. It takes a network of people to maintain and supervise it ,not to mention the huge cost of deploying a new system and the downsides such as learning curves, limitations , and other various reasons that impact production over the system currently in place. Most companies(not all) are looking for the cheapest route and will not invest the money and resources it takes to properly deploy and run an reliable automated system.

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I know it all and you let me live a living hell, you will have that too

This video has been sped up. Watch it at 0.75x speed to watch irl

He does not know my algorithm, he has not seen the combination of my numbers. He is prevented to see it.

If Ai can not generate clean electricity to run itself .. it is not that intelligent .

Jensen speaks the future into existence. Absolutely incredible to witness in real time the OOMs shift to data centers with the power draw of Manhattan. The single most important shift underway today - all else pales in comparison.

designedbyai AI fixes this (AI Architectural Designs). "Jensen Huang discusses technology."

20 or so MEGA TECH BROS renting people at their latest whim to build the next scale blah blah blah... what a beautiful future...

You shoul’ve asked him if he thinks jobs are gonna disappear

2:05 why does his voice sound like it did an edit cut there?

*MetaCortex Black Pleather JacketBots Circa 1999* There is no avocado toast!

most whites play second fiddle in asia/white?

Jensen & Elon I think are the most knowledgeable hands on CEOs in the world. Others sometimes barely know their product

Favorite leader in engineering.

From gaming nerd image, to Bitcoin infrastructure builder to AI whatever... He builds GPUs and is not a genius.

god damn I wish I could work at NVDA, they actually value their developers and software

Great interview. No swirl chairs, or tell Elad not to move in his chair :)

The fact I can't find this podcast on X and I have to use a google product to watch it is frankly criminal

what type of vsi scaling is he talking about at 2:45

I just wonder if it makes sense for these customers to use the training NVDA hardware for inference if there are ASICs that can do inference 100x or 1000x the speed. But like Jensen said, the whole system has to run optimally to get the speed boost. And I am not sure if ASICs can take full advantage of the NVDA ecosystem. ASICs are also very expensive to design and manufacture each generation.