Suddenly sama, the CEO, was everywhere. Giving keynotes, talking to world leaders, and raising billions of dollars. He's widely regarded as one of the most ambitious and effective operators in the world. I wondered how his ambition could gel with the legally binding mission.
@jeremyphoward
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OpenAI’s Mission Reality Gap Exposed in Recent Keynote
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My guess is that watching the keynote would have made the mismatch between OpenAI's mission and the reality of its current focus impossible to ignore. I'm sure I wasn't the only one that cringed during it. I think the mismatch between mission and reality was impossible to fix.
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OpenAI Codex Release Sparks Safety Concerns, Anthropic Founded
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With the release of Codex, however, we had the first culture clash that was beyond saving: those who really believed in the safety mission were horrified that OAI was releasing a powerful LLM that they weren't 100% sure was safe. The company split, and Anthropic was born.
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OpenAI Shifts to Profit Model While Maintaining Non-Profit Control
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Now OAI accelerated in its new direction. It wasn't open any more, and it decided to pursue profits to fund its non-profit goals. Nonetheless, the company remained controlled by the non-profit, and therefore by its board.
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OpenAI’s Founding: Brilliant Researchers and Unexpected Leaders
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When OAI was founded I felt like it was gonna but a rough ride. It was created by a bunch of brilliant researchers that I knew and respected, plus some huge names from outside the field: Elon, GDB, and sama, none of who I'd ever come across at any AI/ML conference or meetup.
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Brilliant Operators Drive Company Growth Despite Culture Shock
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Everything I'd heard about those 3 was that they were brilliant operators and that they did amazing work. But it felt likely to be a huge culture shock on all sides. But the company absolutely blossomed nonetheless.
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OpenAI Dev Day criticism and insider perspective analysis
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OK everyone's asking me for my take on the OpenAI stuff, so here it is. I have a strong feeling about what's going on, but no internal info so this is just me talking. The first point to make is that the Dev Day was (IMO) an absolute embarrassment.
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Corporate Keynote Fails to Deliver on AGI Promises
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I could barely watch the keynote. It was just another bland corp-speak bunch of product updates. For those researchers I know that were involved from the beginning, this must have felt nausea-inducing. The plan was AGI, lifting society to a new level. We got Laundry Buddy.
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Market Influence Through Social Following and Trader Sentiment
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(I don’t actually have any insider trading tips sorry. Unless enough traders decide to follow me so my pronouncements swing markets. That would be cool thought right?)
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Batch Size Optimization Trade-offs in AI Performance
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Generally slowdown is 20-30%, but often for me the increased batch size means it’s faster overall.