Thinking Machines

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@thinkymachines

Thinking, beeping, and booping.
@tinkerapi

thinkingmachines.ai Joined February 2025

1 Following 188K Followers 76 Posts

Latest posts 5

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Thinking Machines @thinkymachines 2d

Introducing Inkling 2 Small. Scoring 31 on the AA Intelligence Index, it's a big jump over its predecessor.

Inkling 2 Small is available for fine-tuning and inference on Tinker today, with full weight release planned soon.

thinkingmachines.ai/news/inkling-2…

thinkingmachines.ai Introducing Inkling 2 Small Today we are introducing the second generation of Inkling models with the release of Inkling 2 Small.

Thinking Machines @thinkymachines Oct 15

Tinker 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.
thinkingmachines.ai/news/one-year-…

thinkingmachines.ai One Year of Tinker: Turning Your Expertise into Custom Models Tinker handles the infrastructure, while our research and recipes make more training methods accessible.

Thinking Machines @thinkymachines Sep 11

Our 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 taste to what works in the long run, and, above all, specifying what we actually want.

Dwarkesh Patel Verified account @dwarkesh_sp Sep 11

New episode with @johnschulman2, @oneill_c and @BerenMillidge.

I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next.

0:00:00 – Steelmanning the case against RSI
0:18:39 – What’s driving the Chinese labs’ progress
0:28:06 – How will automated AI researchers be trained
0:33:51 – Will long-horizon RL elicit AGI?
0:45:24 – The sim-to-real gap
1:00:33 – How much progress is explained by data?
1:18:03 – Why is RL working so well?
1:24:54 – Move 37 and entropy collapse
1:28:31 – Rapid-fire timelines

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Thinking Machines @thinkymachines Aug 27

Cleaning 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 researchers at UIUC and Bridgewater, in collaboration with our team.
thinkingmachines.ai/news/putting-t…

thinkingmachines.ai Putting Task Expertise into RL Achieves State-of-the-Art Performance on Text-to-SQL An expert-verified training set and a reshaped reward let RLVR on Tinker train a single model past human-level text-to-SQL accuracy, at a fraction of frontier cost.

Tinker Verified account @tinkerapi Aug 27

LLMs with scaffolds have lagged on text-to-SQL, a task that relies on human judgment. By folding expert judgment into every part of RLVR on Tinker, @maxYuxuanZhu and @ddkang (UIUC and Bridgwater) trained the first text-to-SQL model to beat the human mark.
thinkingmachines.ai/news/putting-t…
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Thinking Machines @thinkymachines Aug 24

Today, 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 a safety project that could be accelerated by additional Tinker credits, we want to hear from you!