Nimit Kalra @ ICML 2025 @qw3rtman
research @haizelabs, prev @citadel, @utaustin currently feynman technique-ing my way through life nimit.io nyc Joined October 2011-
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New Anthropic Research: Towards Safeguarding LLM Fine-tuning APIs against Cipher Attacks. Fine-tuning LLMs through APIs can be harmful even if the data used for fine-tuning does not appear to be, often because the data encodes a hidden message.
JetBrains is no longer behind. @firebender_com just launched the first-ever background coding agents for all JetBrains IDEs. These coding agents are incredibly intelligent, have isolated workspaces, and don’t require any cloud setup.
.@RoundtableHQ_'s Proof of Human uses behavioral biometrics to stop bots and AI spam. With 87% accuracy (vs. Google’s 69% and Cloudflare’s 33%), it gives you frictionless, real-time authentication with a one-line API. ycombinator.com/launches/OEh-r… Congrats on the launch @_magrawal &…
Are we really running out of data??? No. We're just not using it correctly. The solution: let the model learn which data it needs to learn!!! 1/n
GPT-5 is now live in Firebender for Android Studio, free for a limited time 🚀 It’s definitely the best coding model I’ve ever used. Try it today and tell us what you think.
Android engineers have access to GPT 5 through Firebender. Enjoy
Flying out to #ICML2025 tonight! Always down to chat about unverifiable domains, evals, red-teaming, safeguards, or just meet cool people. I’ll be a panelist at the Methods and Opportunities at Small Scale workshop, sharing our work on tiny generalist reward models…
The current state of the ecosystem for post-training using GRPO w/ vllm + flash attention is frustratingly brittle. - The most recent vllm only supports PyTorch==2.7.0 - vllm requires xformers, but specifically only v0.0.30 is supported for torch 2.7.0. Any prior version of…
Vogent has a fantastic battle-tested inference stack, glad to see they opened it up + already have a finetuning product. From what I've seen, open-source voice models solve the 0 → 1 quite well but require a lot of post-hoc tuning to get right
Vogent has a fantastic battle-tested inference stack, glad to see they opened it up + already have a finetuning product. From what I've seen, open-source voice models solve the 0 → 1 quite well but require a lot of post-hoc tuning to get right
chart crime so bad you gotta transcribe the values by hand and plot it yourself
evals evals evals
New open-source alert! spoken: a unified abstraction over realtime speech-to-speech foundation models. Run any S2S model from OpenAI, Google, Amazon — one interface with one line of code.

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