Thinking Machines

@thinkymachines184k followers

Thinking, beeping, and booping. @tinkerapi

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Posts 9 posts
#DatePost↓ OutlierViewsLikesRepostsBookmarks
1Jul 15Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. Available today for fine-tuning o85.5×8.3M15k2k7.6k
2Jul 30Today, we are releasing Inkling-Small. Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are maki16.5×1.6M3.3k4501.1k
3Jul 31Releasing weights indiscriminately isn't safe. Neither is keeping capable models inside a few labs. We think there's a path between them. We haven't mapped all of it. Our new post 5.8×569k1.3k151731
4Aug 21We want to improve Inkling’s agentic performance. To help us understand its real-world behavior, we are making it available for free on OpenRouter (only with agentic harnesses) for3.6×352k2.1k126504
5Aug 24Today, we are launching Tinker grants of up to $50,000 in credits for safety research on open-weight models. We share some project ideas that excite us below; if you’re working on 2.9×279k1.5k132731
6Sep 11Our own @johnschulman2 talks with Dwarkesh about where human judgment still matters as models improve and self-improve: teaching them to handle messy real-world tasks, applying tas2.5×246k61456287
9Aug 27Cleaning data and aligning the reward function for RLVR takes expertise and effort upfront, but the result is a model that's state-of-the-art on a complex task. Guest post by resea0.8×80k51041263
10Jul 28Safety work is only as good as the access researchers and defenders have to real models, and open sharing is how the whole ecosystem gets stronger. Glad to support the Open Secure 0.6×60k4122930
11Oct 15Tinker lets customers turn their expertise into cutting-edge models that they own. One year after launch, we look back at what we’ve shipped and what our users are building.0.5×52k21728111

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