Chinmaya Sahu (@csking101) header
Chinmaya Sahu (@csking101) profile picture

Aiterator | SDE | 4x Hackathon Winner | NITK '25

Bengaluru, India
Joined May 2023
Photo by Chinmaya Sahu (@csking101)Photo by Chinmaya Sahu (@csking101)
ETHGlobal Finalist in the City of Dreams! We conjured Air Agents - A novel way to interact with your agents in the spatial and audio domain. - top 8 overall - @hedera SDK track winner - @worldnetwork 2nd place Couldn't have done it without @ahmedfahim21_ & @AbhishekSa6742🙌 Thanks to @ETHGlobal for this amazing opportunity♥️
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Have you guys ever played #scotlandyard?
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The history of taste in research through time, is the new place to look for more creativity. I agree that variety and exploration are the key to progress. resobscura.substack.com/p/re…
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I wasn't able to try our #Fable 5.2 over the weekend, since we were busy hacking. Now, I used it to revamp my portfolio website: chinmayasahu.com/ It works like a charm, and tells my Fable :)
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Chinmaya Sahu retweeted
🇮🇳 ETHGlobal Mumbai Finalist | 🫨 Air Agents A new way to interact with your agents in the spatial and audio domain. Built by @AbhishekSa6742, @ahmedfahim21_, @csking101 🔗 air-agents.vercel.app 🏆 ethglobal.com/showcase/air-a…
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Happy to be a part of this @ETHGlobal , it was a pleasure hacking along with @ahmedfahim21_ @AbhishekSa6742 and building Air Agents🫨
THE RESULTS ARE IN 🎉 1,402 hackers. 622 projects. 36 hours of building. ...and now, meet your 8 ETHGlobal Mumbai finalists: 🕸️ Bramble 💳 Tap2ETH 🔐 Quantum Smart Wallet 🚅 RupeeRail 🫨 Air Agents 🤑 Aven 🛕 kalash 🦫 CopeyBara Here's what they shipped ↓
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Chinmaya Sahu retweeted
built something to interact with your agents in a different dimension
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Dropped in at the @noderails booth during @ETHGlobal Pragma! Payment infrastructure making crypto more practical for everyday use: gasless checkout, stablecoin settlements and chargebacks. Enjoyed learning about @wallcardapp too! @chiefmohitbhat #NRL #NodeRails #Pragma
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LLM-CRISPR 🤯🤯🤯
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math. rikiyat.github.io/blog/weight-sp… github.com/RikiyaT/lm_und… huggingface.co/Qwen/Qwen3.5-0… huggingface.co/RikiyaT/Qwen3.…
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Chinmaya Sahu retweeted
built something over the weekend with @openuidev & @SarvamAI pause any NPTEL lecture and ask your doubt. the model generates interactive answer UI live with key ideas, flashcards, quiz, timechips, etc. in your language
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Finally releasing the results of the arch ablations I was running with bux over the weekend
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