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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
    Aug 11
    Nemotron 3.5 Lightning from @NVIDIAAI is out today and available on Tinker. With just 3B active parameters and optimized for throughput speed, 3.5 Lightning is designed for work where latency and cost matter.
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    NVIDIA AI
    NVIDIA
    @NVIDIAAI
    Aug 11
    Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.
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    Tinker
    Thinking Machines
    @tinkerapi
    Aug 6
    Reasoning over speech requires privacy, low latency, and native audio processing instead of relying on transcripts. This was a major goal in training Inkling and Inkling-Small, and we’re proud of the results.
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    Scale Labs
    @ScaleAILabs
    Jul 30
    Congrats to @thinkymachines on the release of Inkling-small! A smaller variant of Inkling, now live on our AudioMultiChallenge and MCP Atlas leaderboards. Inkling-small is tied for🥇on AudioMultiChallenge, scoring about the same as the larger Inkling despite the size difference.
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    Tinker
    Thinking Machines
    @tinkerapi
    Aug 5
    The ability to mix compute platforms is novel and really useful for interpretability research. We're fans of what @GoodfireAI is building for researchers and love to see Tinker integrated into Silico.
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    Ryan Panwar
    @RyanPanwar
    Aug 4
    Silico integrates with some of the best open weight training infra, such as @thinkymachines's Tinker. It also can run on your own hardware. And it can combine the two! Here it ran RL on Tinker while running a probe-based reward model on our B200 cluster.
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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
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