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Tinker
Thinking Machines
@tinkerapi
I tink, therefore I am. Post-training API by @thinkymachines
San Francisco
thinkingmachines.ai/tinker
Joined January 2026
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  • Pinned
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    Tinker
    Thinking Machines
    @tinkerapi
    Apr 9
    We’ve redesigned our docs with easy access to SDK reference, tutorials, support, and our newly updated cookbook---v0.3.0! Whether you’re writing your first training loop in Tinker or debugging async RL, we want to make it easier to find what you need.
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    Tinker
    Thinking Machines
    @tinkerapi
    Jul 27
    Inkling doesn't waste tokens getting to the punchline, we call that cheap humor.
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    Adam Grenier
    @AKGrenier
    Jul 24
    I RL-trained @thinkymachines Inkling model to tell dad jokes, all from my laptop. Inkling is a 975B open-weights MoE. I fine-tuned it with GRPO on @tinkerapi into PunTune-0.6, which answers any topic with a focused, original dad joke. The jokes are... fine. But the finding
    Image
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    Tinker
    Thinking Machines
    @tinkerapi
    Jul 20
    Parameter-efficient fine-tuning isn't just cheap, it's what makes formal guarantees of model learning possible. Compress an RLVR update into a small LoRA and you can set a floor on how it will generalize to unseen data. Sharp paper from @maxYuxuanZhu , @rohanalur, and @ddkang.
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    Daniel Kang
    @ddkang
    Jul 20
    New research from Bridgewater AIA Labs, UIUC, and MIT: we prove what we believe to be the first non-vacuous generalization bounds for reasoning LLMs on real-world problems. RLVR powers frontier reasoning capabilities yet its generalization to unseen data has remained an open
    Image
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    Tinker
    Thinking Machines
    @tinkerapi
    Jul 15
    Inkling is our first open model from @thinkymachines and is now available on Tinker! Check out these quotes from Tinker customers on their experience with Inkling: @_Mantic_AI: "Not only does Inkling outperform Kimi K2.6 on our forecasting evals, it does so with half the output
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    Tinker
    Thinking Machines
    @tinkerapi
    Jul 2
    Training image models requires a surprising amount of Tinkering: prototyping reward models, training a prompt expander, and creating the RL environment. We love the creativity from @krea_ai!

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