• Trapit Bansal: pioneered RL on chain of thought and co-creator of o-series models at OpenAl.
• Shuchao Bi: co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAl.
• Huiwen Chang: co-creator of GPT-4o's image generation, and previously invented MaskIT and Muse text-to-image architectures at Google Research.
• Ji Lin: helped build o3/o4-mini, GPT-4o, GPT-4.1, GPT-4.5, 4o-imagegen, and Operator reasoning stack.
• Joel Pobar: inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning.
• Jack Rae: pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind.
• Hongyu Ren: co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAl.
• Johan Schalkwyk: former Google Fellow, early contributor to Sesame, and technical lead for Maya.
• Pei Sun: post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo's perception models.
• Jiahui Yu: co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAl, and co-led multimodal at Gemini.
• Shengjia Zhao: co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAl.
how could these people actively try to open pandoras box and make all humans obsolete? if we survive this i imagine there will be something like the Nuremberg trials for these people who traded in everyones safety and wellbeing for money. and i hope the results will be the same.
With luck, they'll vaporize billions of dollars on nothing of consequence.
If they come up with anything of consequence, we'll have an incredibly higher level of Facebook monitoring of our lives in all scopes. Also such a level of AI crap (info/disinfo in politics, crime, arts, etc.) that ironically in-person exchanges will be valued more highly than today. When everything you see on pixels is suspect, only the tangible can be trusted.
im pretty sure that when the top companies are poaching leaders in AI for some of the largest payouts in history… we are not in an AI winter. so they were completely wrong. im guessing you are one of them.
Zuck has spent more on Metaverse than AI. A multi-trillion dollar company throwing a few billion at a problem means nothing. Show me the results, not the hype.
Dot-com bubble: popped, and if you don't have a .com presence you have a .net, .org, or similar
Blockchain bubble: popped? Looking good, always profitable to bet on crime and stupidity.
Real estate bubble? Popped, but what do think about the asset price of housing now?
Moore's Law wasn't a law, it was a reflection of investment which reach dizzying heights in its heyday. I think there's a ton of over-hype now but some stuff will come out of it.
> Poor Sam Altman, 300B worth of trade secrets bought out from under him for a paltry few hundred million
Sorry, you don't lose people when you treat them well. Add to that Altman's penchant for organisational dysfunction and the (in part resulting) illiquidity of OpenAI's employees' equity-not-equity and this makes a lot of sense. Broadly, it's good for the American AI ecosystem for this competition for talent to exist.
In retrospect, I wonder if the original ethos of the non-profit structure of OpenAI was a scam from the get go, or just woefully naive. And to emphasize, I'm not talking just about Altman.
That is, when you create this cutting edge, powerful tech, it turns out that people are willing to pay gobs of money for it. So if somehow OpenAI had managed to stay as a non-profit (let's pretend training didn't cost a bajillion dollars), they still would have lost all of their top engineers to deeper pockets if they didn't pursue an aggressive monetization strategy.
That's why I want to gag a little when I hear all this flowery language about how AI will cure all these diseases and be a huge boon to humanity. Let's get real - people are so hyped about this because they believe it will make them rich. And it most likely will, and to be clear, I don't blame them. The only thing I blame folks for is trying to wrap "I'd like to get rich" goals in moralistic BS.
> wonder if the original ethos of the non-profit structure of OpenAI was a scam from the get go, or just woefully naive
Based on behaviour, it appears they didn't think they'd do anything impactful. When OpenAI accidentally created something important Altman immediately (a) actually got involved to (b) reverse course.
> if somehow OpenAI had managed to stay as a non-profit (let's pretend training didn't cost a bajillion dollars), they still would have lost all of their top engineers to deeper pockets if they didn't pursue an aggressive monetization strategy
I'm not so sure. OpenAI would have held a unique position as both first mover and moral arbiter. That's a powerful place to be, albeit not a position Silicon Valley is comfortable or competent in.
I'm also not sure pursuing monetisation requires a for-profit structure. That's more a function of the cost of training, though again, a licensing partnership with, I don't know, Microsoft, would alleviate that pressure without requiring giving up control.
It wasn't exactly a scam, it's just nobody thought it'd be worth real money that fast, so the transition from noble venture to cash grab happened faster than expected.
This stuff is ridiculously important for healthcare: It’s a demographic fact that both the US and the world at large are simply not training enough doctors and nurses to provide today’s standard of care at current staffing levels as the population ages.
We need massive productivity boosts in medicine just as fast as we can get them.
I sincerely doubt this understaffing of medical professionals is a technology problem, and I believe it much more likely to be an economic structural problem. And overall, I think that powerful generative AI will make these economic structural problems much worse.
It's a gatekeeping problem. Doctors don't want more doctors because it dilutes their own value, so medical school and residency spots are kept artificially limited.
It doesn't take super intelligence to give my elderly father a bath or wipe his ass.
I think the main problem is we would almost need an economic depression so that at the margin there were for less alternative jobs available than giving my father a bath.
Then also consider that say we do have super-intelligence that adds a few years to his life because of better diagnostics and treatment of death. It actually makes the day to day care problem worse in the aggregate.
We are headed towards this boomer long term care disaster and there is nothing that is going to avert it. Boomers I talk to are completely in denial of this problem too. They are expecting the long term care situation to look like what their parents had. I just try to convince every boomer I know that they have to do everything they can do physically now to better themselves to stay out of long term care as long as possible.
• Trapit Bansal: pioneered RL on chain of thought and co-creator of o-series models at OpenAl.
• Shuchao Bi: co-creator of GPT-4o voice mode and o4-mini. Previously led multimodal post-training at OpenAl.
• Huiwen Chang: co-creator of GPT-4o's image generation, and previously invented MaskIT and Muse text-to-image architectures at Google Research.
• Ji Lin: helped build o3/o4-mini, GPT-4o, GPT-4.1, GPT-4.5, 4o-imagegen, and Operator reasoning stack.
• Joel Pobar: inference at Anthropic. Previously at Meta for 11 years on HHVM, Hack, Flow, Redex, performance tooling, and machine learning.
• Jack Rae: pre-training tech lead for Gemini and reasoning for Gemini 2.5. Led Gopher and Chinchilla early LLM efforts at DeepMind.
• Hongyu Ren: co-creator of GPT-4o, 4o-mini, o1-mini, o3-mini, o3 and o4-mini. Previously leading a group for post-training at OpenAl.
• Johan Schalkwyk: former Google Fellow, early contributor to Sesame, and technical lead for Maya.
• Pei Sun: post-training, coding, and reasoning for Gemini at Google Deepmind. Previously created the last two generations of Waymo's perception models.
• Jiahui Yu: co-creator of o3, o4-mini, GPT-4.1 and GPT-4o. Previously led the perception team at OpenAl, and co-led multimodal at Gemini.
• Shengjia Zhao: co-creator of ChatGPT, GPT-4, all mini models, 4.1 and o3. Previously led synthetic data at OpenAl.
Anybody have an idea of how much these people are making?
Minimum wage in California is $16.50 per hour, so they are making that at least.
Altman said on a recent podcast that Zuckerberg is poaching OpenAI researchers, giving offers of up to $100,000,000 (one hundred million).
Also Alexandr Wang, Nat Friedman.
This list is specifically about the poaching from OpenAI / DM I believe
how could these people actively try to open pandoras box and make all humans obsolete? if we survive this i imagine there will be something like the Nuremberg trials for these people who traded in everyones safety and wellbeing for money. and i hope the results will be the same.
Mark Zuckerberg hiring top AI researchers worries me more than Iran hiring nuclear scientists.
better than sam altman having them
Sam Altman is leading OpenAI out of the goodness of his heart. He told Congress he has zero equity or financial stake in OpenAI.
With luck, they'll vaporize billions of dollars on nothing of consequence.
If they come up with anything of consequence, we'll have an incredibly higher level of Facebook monitoring of our lives in all scopes. Also such a level of AI crap (info/disinfo in politics, crime, arts, etc.) that ironically in-person exchanges will be valued more highly than today. When everything you see on pixels is suspect, only the tangible can be trusted.
do you remember the chorus of people on HN two years ago who said that the next AI winter was already upon us?
Were they wrong? It's pretty undeniable that every model release since GPT-4 has been less impactful than the last.
im pretty sure that when the top companies are poaching leaders in AI for some of the largest payouts in history… we are not in an AI winter. so they were completely wrong. im guessing you are one of them.
Zuck has spent more on Metaverse than AI. A multi-trillion dollar company throwing a few billion at a problem means nothing. Show me the results, not the hype.
Bubbles are always the craziest right before they pop
Dot-com bubble: popped, and if you don't have a .com presence you have a .net, .org, or similar Blockchain bubble: popped? Looking good, always profitable to bet on crime and stupidity. Real estate bubble? Popped, but what do think about the asset price of housing now?
Moore's Law wasn't a law, it was a reflection of investment which reach dizzying heights in its heyday. I think there's a ton of over-hype now but some stuff will come out of it.
Is mark Zuckerberg systematically behind the curve on every hype?
> Is mark Zuckerberg systematically behind the curve on every hype?
Trend following with chutzpah, particulalry through acquisitions, has been a winning strategy for Zuckerberg and his shareholders.
He's just trying to figure out how to monetise your WhatsApp messages
In the "metaverse"
This in includes fashion and hairstyles it seems...
the idea of mark zuckerberg being at the helm of digital super-intelligence sickens me.
He spent $50B to be at the helm of the "Metaverse". Don't worry, we are safe.
Better than Samuel Altman being at the helm.
the cringiest possible future
Will the Superintelligence finally make the Metaverse profitable and popular?
Poor Sam Altman, 300B worth of trade secrets bought out from under him for a paltry few hundred million.
> Poor Sam Altman, 300B worth of trade secrets bought out from under him for a paltry few hundred million
Sorry, you don't lose people when you treat them well. Add to that Altman's penchant for organisational dysfunction and the (in part resulting) illiquidity of OpenAI's employees' equity-not-equity and this makes a lot of sense. Broadly, it's good for the American AI ecosystem for this competition for talent to exist.
In retrospect, I wonder if the original ethos of the non-profit structure of OpenAI was a scam from the get go, or just woefully naive. And to emphasize, I'm not talking just about Altman.
That is, when you create this cutting edge, powerful tech, it turns out that people are willing to pay gobs of money for it. So if somehow OpenAI had managed to stay as a non-profit (let's pretend training didn't cost a bajillion dollars), they still would have lost all of their top engineers to deeper pockets if they didn't pursue an aggressive monetization strategy.
That's why I want to gag a little when I hear all this flowery language about how AI will cure all these diseases and be a huge boon to humanity. Let's get real - people are so hyped about this because they believe it will make them rich. And it most likely will, and to be clear, I don't blame them. The only thing I blame folks for is trying to wrap "I'd like to get rich" goals in moralistic BS.
> wonder if the original ethos of the non-profit structure of OpenAI was a scam from the get go, or just woefully naive
Based on behaviour, it appears they didn't think they'd do anything impactful. When OpenAI accidentally created something important Altman immediately (a) actually got involved to (b) reverse course.
> if somehow OpenAI had managed to stay as a non-profit (let's pretend training didn't cost a bajillion dollars), they still would have lost all of their top engineers to deeper pockets if they didn't pursue an aggressive monetization strategy
I'm not so sure. OpenAI would have held a unique position as both first mover and moral arbiter. That's a powerful place to be, albeit not a position Silicon Valley is comfortable or competent in.
I'm also not sure pursuing monetisation requires a for-profit structure. That's more a function of the cost of training, though again, a licensing partnership with, I don't know, Microsoft, would alleviate that pressure without requiring giving up control.
It wasn't exactly a scam, it's just nobody thought it'd be worth real money that fast, so the transition from noble venture to cash grab happened faster than expected.
Getting rich going good is better than just getting rich. People like both.
Which part are you skeptical about? that people also like to do good, or that AI can do good?
So much wasted money it makes me sick…
There are so much money needed to solve another problems, especially for health.
I don’t blame the new comers, but Zuckerberg.
Better on ML than the next VR vaporware.
zuck funds health research (a lot, and very ML focused) already
Wild how HN is flagging this objectively correct comment into the ground because "zuck bad!!1"
I really do wish there was a way to downvote "because I don't like what the person is saying, even if it's true"
This stuff is ridiculously important for healthcare: It’s a demographic fact that both the US and the world at large are simply not training enough doctors and nurses to provide today’s standard of care at current staffing levels as the population ages.
We need massive productivity boosts in medicine just as fast as we can get them.
I sincerely doubt this understaffing of medical professionals is a technology problem, and I believe it much more likely to be an economic structural problem. And overall, I think that powerful generative AI will make these economic structural problems much worse.
It's a gatekeeping problem. Doctors don't want more doctors because it dilutes their own value, so medical school and residency spots are kept artificially limited.
It doesn't take super intelligence to give my elderly father a bath or wipe his ass.
I think the main problem is we would almost need an economic depression so that at the margin there were for less alternative jobs available than giving my father a bath.
Then also consider that say we do have super-intelligence that adds a few years to his life because of better diagnostics and treatment of death. It actually makes the day to day care problem worse in the aggregate.
We are headed towards this boomer long term care disaster and there is nothing that is going to avert it. Boomers I talk to are completely in denial of this problem too. They are expecting the long term care situation to look like what their parents had. I just try to convince every boomer I know that they have to do everything they can do physically now to better themselves to stay out of long term care as long as possible.
Do you realize how much health-related research Zuckerburg’s foundation does? There was literally a post on here last week about it, geez.
Superintelligence or even just AGI short circuits all our problems.
Just another tool that can be used for good or bad.
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