Where is your subtitle?

Brilliant!!!

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For anyone who has been working on neural nets from 2017. This talk sounds just mediocre. OpenAI has not 'invented' anything, they just trained Transformers on massive massive massive amounts of data.

【report】 三井ガーデンホテルへご挨拶させていただいてます、この前にご提案させていただきました内容のご褒美に、一つ会社を潰せますか？申し訳ない。先程一緒に見た方が勤めておられる企業ですが、内部事情をお調べし、宜しくお願いします、申し訳ない。 川地

Ilya all the way

Why do you have Korean captions only?

We don't have to use it, but we must have it.

Lmao this dude started this with his then gf (now ex) - total scam

yeyeye

Superb and timely explanation of fascinating subject

If I can deepfake my voice on top of this, will it be able to fool my friends and make them think they are talking to me?

China China China

Ilya is the best and great of all times

This is amazing

This general sounds like he needs a coloring book. Out of his depth, only able to produce strings of buzzwords, offering no real insight of his own

First

He comes across unconfident while obviously being a confident person... I can't place him. Would never judge him as being capable to run a company of this size and complexity. Seems like a student.

If you ask all the Tesla fans on KZbin, they’ll say “there are no issues with Tesla FSD, it just needs more training” 🤣 If only it was that easy. 🤦🏽‍♂️

So, you are providing dod with the AI tools to kill people

35:00

You forgot to mention "Capitalist Scumbag". (Just saying...) Voted 👎

this reminds me of using physics to develop nuclear weapons

Is it possible to access the presentation document (pptx / pdf)? In order to get the links to referred papers.

the chinese zuckerberg

Thank you for fascinating podcasts with Eric Schmidt.

alexandr wang is very enamored of ilya. some of the assertions by ilya is so smoke-blowing 07:30 that alexander just takes it all in and doesnt challenge those assertion. a 22 y/o billionaire, what does he know about how the world works?

love how this is barely 2 years old and already feels like ancient history in the AI world

His principle is dangerous for the world

Starts at 1:38

So, has the Scale a killer's licence?

I don't understand people who rave about Netflix's recommendations at all. This system is primitive. If you have watched comedies, it will suggest comedies to you. If your last movie was directed by X, the recommendation will be a movie made by X. And the most common "recommendation" is what others watch. This system NEVER offered me anything that made sense. It just doesn't work!

I asked conversational AIs to timestamp this video. And, here are the results. Result 1 (somewhat accurate): 0:00 - Introduction 0:51 - Greg talks about similarities and differences between Stripe and OpenAI 2:01 - Discussing key breakthroughs like GPT-3 and DALL-E that showed the potential of scaling up models 5:51 - Early examples showing capabilities like generating code 9:10 - The journey from GPT-2 to GPT-3, need for conviction as compute costs grew 12:12 - Stories from the Dota 2 days 15:16 - Thoughts on the book "Life Cycle of Software Objects" 18:09 - Greg's early confidence in capabilities of neural nets 19:15 - Were there moments of doubt? Iterative nature of progress. 22:04 - Being excited but also cautious about powerful AI systems 24:12 - The future of AI this decade as the tech proliferates everywhere 27:27 - The roadmap to AGI and the consistent exponential progress 31:11 - Concerns over hitting limits like the end of Moore's Law 34:50 - AI slowdown analogous to other areas of science? Paradigm shifts. 37:47 - Biggest concerns about AI, different issues arising as systems get more capable 42:10 - Proliferation of AI capabilities and systems. Balance between massively scaled and more distributed systems. 45:21 - end - Closing thoughts Credit: Claude (using transcript) - claude.ai/chat Result 2 (very much wrong): 00:00 - Introduction: Greg Brockman and Alexandr Wang 01:15 - The role and impact of foundation models like GPT-3 and DALL·E 2 05:10 - The challenges and opportunities of scaling and deploying foundation models 10:20 - The vision and mission of OpenAI and its products and services 15:30 - The trade-offs and considerations of building general and specialized models 20:40 - The future of language models and natural language understanding 25:50 - The importance and methods of ensuring safety and alignment of AI systems 31:00 - The potential and limitations of multimodal and cross-modal models 36:10 - The current and emerging applications and use cases of foundation models 41:20 - The ethical and social implications and responsibilities of AI research and development 45:40 - Closing remarks and acknowledgements Credit: Bing Copilot (using youtube link) - copilot.microsoft.com/ A fun exercise. I had to do multiple iterations to get the above results. However, if someone is interested to reverse engineer the prompt, pls do.

Amazing

It is not "around the corner". All these problems that users encounter on operational excellence and quality are enumerated in twitter, r/openai, r/chatgpt is going to put openai credibility in danger.

for the Transformers as long as we have Optimus Prime and no Megatron we should be fine

More power to you man Love you ILya💌

We are lucky to live in a day and age when you can hear from the creators on demand.

Great material, great wise, smart people. Thank you!!!

Ilya has that great ability to tailor his speech to his audience: expressing complex concepts in simple words. And, Alexandr knows exactly the question to ask. It was delightful and informative to listen to you !

we've been working on AI for the past 7 years, since I was 13

Cool! Now pay your filipino workers more than a dollar a day. Evil bastard

Sounds like a bunch of MBAs saying MBA stuff. Where are the tips?

I hope this guy is protected

There's an Alexander Wang.. he's a sexual predator fashion designer in USA...

😂🤣🤣 we aren't even close to making AI 😂🤣 wtf

If i Were a Alex i would have change the whole world where haven,t any war in the globe.

Sam is Amazing ❤

Great conversation

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