Discussion

• @edzitron Ed Zitron on x

  Sorry brotha nothing on me

• @pmarca Marc Andreessen on x

  Interesting.

• @nikolaj2030 Nikola Jurkovic on x

  This essay seems to assume away the eventual existence of vastly superhuman AI systems, instead inhabiting a future where we somehow humans stay necessary in most economically-useful acitivities.  I found it pretty hard to engage with because it keeps oscillating between “belief-…

• @varadmaniyar @varadmaniyar on x

  no wonder Thinking Machines has the most immaculate vibes of any frontier lab/neolab Hayekian AI alignment: local knowledge, decentralized power, pluralism, and humans shaping the machines — not the other way around [image]

• @michael_chomsky Michael on x

  thinking machines is actually such a funny company the dashboard is slow enough to be unusable but you can now train a model by dropping the api key and telling fable to train one so it doesn't matter it's literally train models by api, but more flexible than what oai has had

• @nicbstme Nicolas Bustamante on x

  The most interesting debate in AI is not simply whether models should learn human judgment, but where that judgment should live. The state of the art today is hybrid. Broad human preferences are encoded into model weights through supervised fine tuning, RLHF, DPO, Constitutional

• @miramurati Mira Murati on x

  Today we share the worldview behind our mission. Human values don't average out. Local knowledge can't be centralized. The good future has many AIs, raised in different places, shaped by the people they serve, disagreeing with each other the way we do. https://thinkingmachines.ai…

• @miramurati Mira Murati on x

  A year ago we set out to empower humanity with a focus on multimodal AI, custom models, and open science. We previewed interaction models that collaborate the way people do. Tinker lets anyone train their own open weights models. We published our research on Connectionism.

• @soumithchintala Soumith Chintala on x

  What do we do at @thinkymachines: Personalization/sovereignty, Human Participation, Decentralization. Democratize AI and make it useful for people. All three of them reduce society's dependence on centralized AGI companies (including ours when we get important), and that is a

• @johnschulman2 John Schulman on x

  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

• @jonlachman Jonathan Lachman on x

  This is our credo. Grateful to work alongside like-minded colleagues who choose to walk this road together. https://thinkingmachines.ai/ ...

• @clarejtbirch @clarejtbirch on x

  Thinking Machines exists to pursue a differentiated view of the future of AI. Specifically, we care about those branches of the tech tree that are involved with maintaining the best of human participation in the new world in which we find ourselves. It is our belief that this is

• @thinkymachines @thinkymachines on x

  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. https://thinkingmachines.ai/ ...

• Luke Drago Luke Drago on linkedin

  “The technology industry has made incredible progress in teaching machines to think; what they should think about must remain with us. …