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Tinker

Verified account Thinking Machines

@tinkerapi

I tink, therefore I am
Post-training API by @thinkymachines
San Francisco thinkingmachines.ai/tinker Joined January 2026
2 Following 16K Followers 194 Posts

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Tinker Verified account @tinkerapi
Inkling 2 Small is live on Tinker!
Thinking Machines Verified account @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…
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Tinker Verified account @tinkerapi
It’s encouraging to see how much tinker accelerated @msuiche- he’d previously burned 4600$ in gpu rental without finishing a single training step! He did some cool inkling 2 small experiments too.

That’s tinker’s goal - so cheap and easy that there’s no reason to do it yourself.
msuiche Verified account @msuiche 23h
Extremely bullish on American AI. Here is my (cyber) review Inkling 2 Small (Thanks @cHHillee & @brucedang ).

I love the model, but I think I love the platform even more. I barely played with it and already feel how much potential it can unlock.
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Tinker Verified account @tinkerapi
Kimi K3.1 Pro from @Kimi_Moonshot is live on Tinker today with 256K context.

K3.1 Pro is the strongest open-weights model on several benchmarks of agentic coding and knowledge work, and is the largest model on Tinker today.
Kimi.ai @Kimi_Moonshot Oct 23
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.

🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.

Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.

Open weights by Nov 4, 2026.

🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1…
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Tinker Verified account @tinkerapi
Samaya trained Nemotron 3.5 Lightning to beat Fable 5.1 on its finance research benchmark at 9% of the cost. The model was trained on Tinker together with the harness it works in: first by imitating 8 teachers, then RL on its own mistakes.
Samaya AI Verified account @samaya_AI Oct 28
Introducing Samaya Sterling: our first post-trained model for state-of-the-art financial research.

On FrontierFinance, Sterling outperforms Claude Fable 5.1 (58.9% vs. 55.9%) at 11× lower cost.

Using a model with just 3B active parameters, Sterling demonstrates what's possible when specialized training meets a purpose-built financial research harness.

Read the full research ↓
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