I tink, therefore I am Post-training API by @thinkymachines
San Francisco
Joined January 2026
- Tweets198
- Following1
- Followers16K
- Likes301
Tinker retweeted
we are observing this too. feels like a lot of performance to be squeezed from these models, and relatively straightforward to do with tinker + your own b200 cluster
it took me a while but I think I am coming around the the believe that finetuning (changing model's weights) is perhaps faster, cheaper and easier then prompt optimization. so many people are willing to run gepa and other prompt optimization, but for a reason I can't quite guess, much fewer are willing to finetune.
you can literally just say to Claude Opus 5-5:
i want a model that does X, find a paper about it, and some dataset. Make a better version using tinker from thinking machine. Start from inkling small model.
All you have to do is put credits on think machines service (if you have not given your credit card and a browser to you coding agent XD).
Tinker retweeted
it took me a while but I think I am coming around the the believe that finetuning (changing model's weights) is perhaps faster, cheaper and easier then prompt optimization. so many people are willing to run gepa and other prompt optimization, but for a reason I can't quite guess, much fewer are willing to finetune.
you can literally just say to Claude Opus 5-5:
i want a model that does X, find a paper about it, and some dataset. Make a better version using tinker from thinking machine. Start from inkling small model.
All you have to do is put credits on think machines service (if you have not given your credit card and a browser to you coding agent XD).
Tinker retweeted
Tessera-27B-B-CJK-RL: our compressed-CJK coding agent, now trained with RL.
AIME + HMMT 2026 11 point increase over non RL, Per agent turn it still uses 0.67x the base model's thinking.
Open weights: huggingface.co/ZelligeAI/Tes…
And our followup paper: zellige.ai/research/tessera-…
Big thanks to @tinkerapi for sponsoring our continued research and development, We have much more in the works and have plans for more models and research in the near future.
Tessera-27B-B-CJK is a Qwen3.8-27B coding agent that thinks in compressed CJK, And saves tokens while doing so, Open weights, Apache-2.0.
This is our first full tessera release, More info in the thread, check out our paper & hf:
zellige.ai/research/tessera-…
huggingface.co/ZelligeAI/Tes…
Tinker retweeted
@johnschulman2 @miramurati our research team loved tinker btw! multiple RL experiments + evals in parallel w/o needing to manage gpus, and one line to switch model sizes
Tinker retweeted
How far can great RL data push an open model? Far enough to beat frontier closed models.
We trained @NVIDIAAI's Nemotron 3.5 Super VL (just 12B active parameters) on Surge RL data using @thinkymachines' Tinker.
The result? It beat GPT-5.6 Terra's published score on SWE-Bench Pro V2, and also improved across 11 other benchmarks:
➡️ GDP.pdf: +18.6pp
➡️ HANDBOOK.md: +12.8pp
➡️ AutomationBench: +12.7pp
➡️ Chartography: +11.2pp
➡️ AdvancedIF: +7.7pp
There's enormous untapped potential in open models. We believe that frontier performance doesn't have to come from frontier size. It can come from better data and better post-training, and we're only scratching the surface.
Tinker retweeted
In “HW2: Deep Personalization with Tinker”, students get the chance to posttrain production-scale LLM thanks to @tinkerapi!
github.com/SALT-NLP/cs329x_h…
Tinker retweeted
My @aiDotEngineer talk is out! At @IntrospectionAI, our agent runtimes turn production experience into better agents, powered by @pidotdev, @harborframework and @tinkerapi.
We’re bringing on-prem, long-horizon agents to finance and legal to grow revenue and cut operating costs. If this resonates, reach out!
youtube.com/watch?v=7taOQBfj…
Tinker retweeted
It is quite ridiculous how how much mature the RL recipes have gotten over the last year and how well the Tinker API is designed to experiment with new ideas. Good job @tinkerapi
Tinker retweeted
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…
Tinker retweeted
Thinky is my go to for this thinkingmachines.ai/tinker/
Tinker retweeted
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!
Tinker retweeted
Kimi K3 + Tinker is a really nice setup for an autoresearch loop
With most of the training plumbing off the table, Kimi’s code changes stay focused on the experiment itself. This makes it easier to follow what changed and steer the next runs.
Reproducing the Self-Distilled RLVR paper, Kimi one-shots the baseline implementation, ran 19 experiments across six configurations, and wrote the final report (plus a bonus, unsolicited Chinese version)
Tinker retweeted
Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon.
Fast usable multimodal is also going to enable very mind-blowing personal AI.
People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.
We share our approach, early results, and a quick look at our model in action.
thinkingmachines.ai/blog/int…
Tinker retweeted
People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.
We share our approach, early results, and a quick look at our model in action.
thinkingmachines.ai/blog/int…
Tinker retweeted
We built a new task to test AI research capabilities! Agents asked to use @tinkerapi from @thinkymachines to train a model on logic games. That involves writing full training pipeline, running experiments across recipes, and submitting the best model.
FrontierSWE was built with collaborators from industry and academia to ensure that tasks are diverse and reflect real work engineers and researchers encounter.
We specifically thank our partners @Modular, @PrimeIntellect and @thoughtfullab for their contributions
Tinker retweeted
so many good tutorials on here would highly recommend checking it out if you haven't yet
Tinker retweeted
okay yes nice that’s the type of learning material I love to see
will def go through these
First, to get you started, we've created 23 tutorials to walk you from the API basics to advanced training techniques and deploying models into production.
tinker-docs.thinkingmachines…
Tinker retweeted
Great work by Chroma training a search agent with SoTA efficiency. Lots of cool details: a prune tool for editing context mid-search, a synthetic data pipeline with verification steps, and a curriculum that shifts from recall to precision. Trained with Tinker!
