@johnschulman2: We started Thinking Machines a year and a half ago with a couple of instincts: that people should have much more abilit…

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Summary

John Schulman reflects on the founding principles of Thinking Machines, emphasizing customization and human-AI collaboration, and shares the company's updated vision in light of recent progress in AI agents.

We started Thinking Machines a year and a half ago with a couple of instincts: that people should have much more ability to customize models and do research on them, and that even as AI becomes more autonomous, there's a lot more to build to make humans and AIs work well together. A lot has happened since then, especially the massive progress in agents, so we wanted to revisit those instincts in light of everything we've learned, argue about them, and write down what we actually believe now. This is where we landed after a lot of debate. I'm happy with it!
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We started Thinking Machines a year and a half ago with a couple of instincts: that people should have much more ability to customize models and do research on them, and that even as AI becomes more autonomous, there’s a lot more to build to make humans and AIs work well together.

A lot has happened since then, especially the massive progress in agents, so we wanted to revisit those instincts in light of everything we’ve learned, argue about them, and write down what we actually believe now.

This is where we landed after a lot of debate. I’m happy with it!

Thinking Machines (@thinkymachines): We’re building AI that people and organizations can shape and make their own. AI should extend our will and judgment instead of neglecting it; enabling that is the technical challenge we are working to solve.

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