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Special Projects (2016)

34 pointsby 2h agoopenai.com
11 comments
2h agoHN ↗

Authors: Ilya Sutskever, Dario Amodei, Sam Altman

Only one remains at OpenAI.

1h agoHN ↗

That's good! The economy is thankful for it.

49m agoHN ↗

The other two left because they had fundamental disagreements with sama about how to run a company and how to shepherd humanity into an AI future.

If you ask me, it'd be better if none of them remained at OpenAI.

1h agoHN ↗

Its really impressive that they stuck to their vision over the long term. This is difficult and more challenging than it sounds.

1h agoHN ↗

It's only been saved as that URL for the last two years.

7m agoHN ↗

To me it's more about the funders staying engaged. For the people working in the startup as long as it's exciting and you're getting paid enough it seems really fun to get that much runway - why would you leave unless there are personality/direction conflicts??

1h agoHN ↗

The secret to success for OpenAI, Anthropic and labs is the vision that they saw 10 years back and kept working on it. We're in awe of how models like GPT-6 Astra and Claude Opus 5.5 are performing today, but it's important to understand that they've been working on this before we knew about AI.

The next big thing is Robots and some stealth company building today is going to be a trillion-dollar giant in few years time.

41m agoHN ↗

they've been working on this before we knew about AI

Don't confuse AI with LLMs. "We" know about AI for a long time. We even have a term for when AI fail expectations, AI winters.

3m agoHN ↗

Right. If you're new to the area, it may seem like AI came out of nowhere in 2022. If you dig a little, you'll be amazed that it somehow came from nowhere in ~2012. If you dig even more, you realize there was a wave in the late 90s, early 2000s about "machine learning" (SVMs) and before it there was an 80s wave of both neural nets, agent models, and logic-based AI. Then you dig more and you realize AI originated from that Dartmouth workshop by Minksy and others. Then you dig more and realize McCulloch and Pitts already modeled neural nets as little logic circuits. Then you realize the role of Shannon, Turing etc. Then you realize that computers actually arose in a milieu with a much more AI-shaped vision, cybernetics etc. And the precursors in the thought-formalization and mechanization trend in math and philosophy at the start of the 20th century. And even more back Leibniz's calculus ratiocinator and "calculemus!" slogan to settle debates by reducing argumentation to computation.

The point is, typically when something seems like it came out of nowhere, it just means you didn't dig deep enough. Ideas don't come at an instant, fully formed like Athene from Zeus' forehead. It's brick by brick, one twist on an existing idea and zeitgeist at a time.