Thinking Machines

@thinkymachines

Thinking, beeping, and booping. @tinkerapi

thinkingmachines.ai

Joined February 2025

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Thinking Machines
@thinkymachines
Jul 30
Today, 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 making the full weights available. thinkingmachines.ai/news/inkling-s… Fine-tune it on Tinker today, or chat with
Introducing Inkling-Small
From thinkingmachines.ai
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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…
Tinker
@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!
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Thinking Machines
@thinkymachines
Aug 21
We 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) for the next few weeks, starting now. We’ll use the data, disassociated from accounts, to better it.
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Thinking Machines
@thinkymachines
Jul 31
Releasing 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 covers the part we can see: how we assessed Inkling, and why access should widen in stages.
A Safe Path to Open Weights
From thinkingmachines.ai
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