That includes personal attacks, regardless of who it's about. When a comment has a high bile/information ratio, it's off topic here.
You may not owe $CelebrityBillionaire better, but you owe this community better if you're participating in it.
• 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.
23:05 the strategy of a ton of upfront guaranteed comp and that being the reason you tell someone to join like
23:10 really the degree to which they're focusing on that and not the work and not the mission Um I don't think that's
23:17 going to set up a great culture Uh and you know I hope that we can be the best
23:24 place in the world to do this kind of research Uh I think we built a really special culture for it and I think that
23:30 we're set up such that if we succeed at that and a lot of people on our research team believe we will or we're have a
23:36 good chance at it then everybody will do great financially and it's I think it's incentive aligned with like mission
23:42 first and then economic awards and everything else flowing from that So I think that's good There's many things I respect about Meta as a company Um but I
Un hun.
Sam Altman's critique of Meta's recruitment strategy is a textbook example of startup rhetoric. By framing high, guaranteed compensation as a cultural failing that detracts from the "mission," he attempts to moralize a clear economic disadvantage.
This is the core of the startup playbook: persuade employees to forsake their financial best interests in favor of high-risk, high-reward "adventures." There's nothing inherently wrong with that pitch, but the subsequent sanctimony is galling. When talented individuals make a rational choice for their own benefit, Altman's insinuation that they aren't the "people that mattered" is both revealing and repulsive. He's not angry about a breach of principle; he's angry that Zuckerberg is outbidding him.
Sources
Trend following with chutzpah, particulalry through acquisitions, has been a winning strategy for Zuckerberg and his shareholders.
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.
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.
There are so much money needed to solve another problems, especially for health.
I don’t blame the new comers, but Zuckerberg.
We need massive productivity boosts in medicine just as fast as we can get them.
My sister is in a healthcare field. Automatic charting is useful, but not a game changer. Healthcare companies seem to be largely interested in placing AI in between their nurses/doctors and their patients. I'm not terribly excited about that.
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.
