Nish Tahir

Nish Tahir

@nishtahir.com

AI research engineer. My opinions are my own. I can and will be wrong sometimes. Blog: https://nishtahir.com Mastodon: social.nishtahir.com/@nish

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Underrated tip - VSCode's integrated browser can proxy its traffic ("workbench.browser.enableRemoteProxy": true). Super useful if you work on remote machines a lot behind VPNs etc.

openai.com/index/navier... "While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models⁠. However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced)."

openai.comOn the Navier–Stokes Millennium Prize ProblemWe’re sharing an AI-generated solution to the Navier–Stokes Millennium Prize Problem, including a writeup and a formal proof in Lean.

This will unfortunately always be a problem when their models basically slurp up everything on the internet. It's an impressive result no doubt but it's difficult to guarantee originality.

www.kptv.com/2026/09/03/h... “This was a critical misstep, as they were advised by Gemini to bring far less food and water than their group required, especially when their planned 8-hour ascent became a multi-day ordeal,” The problem is obvious. They didn't use gpt-6 Astra

kptv.comHikers who used AI to plan mountain trip had to be rescued, authorities sayAuthorities say three hikers got stranded on Mt. Shasta after they relied on artificial intelligence to plan the trip.

I was playing with watermarking and did a small poc encoding hidden messages in the watermark decodable (97% accuracy) using the secret key - hidden message is 'hello world'. (Artifacts in the text is probably because the model is small Qwen3.5-4B on a macbook air)

Looks like Kimi K3 went in the direction Llama did with their license. > $20M in revenue for "Model as a Service" usecases requires a commercial license. Also if you have more than 100M MAU you have to prominently display "Kimi K3" 😂.

Why has software gotten worse? I think it's because with AI dev's don't have to refine ideas as much anymore. Constraints meant that they had to make choices really count. But now the cost of those choices are basically free. So uses get fed every bad idea they think of. ptrchm.com/posts/nothin...

ptrchm.comNothing Works and Everyone Is EuphoricAs I’m writing this, we’re in the middle of an AI-induced mass psychosis. People are literally token-maxxing themselves into hospital beds, scrambling to capture some of that market value before every...
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Oooh, there are editing tools. Looks like the output is really only the beginning. Relevance labeling is done by LLM the prompt is adjustable through the UI. I genuinely wonder what kind of safeguards are in place to prevent abuse

Debugger is crude but effective. Updating the feed to use your own filtering logic is super easy. I wish this were just integrated into bsky proper but makes sense why they'd want their own playground to experiment.

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Next step seems to be creating a new feed based on the search results. I'm going to assume using the results of the search as a basis for collaborative filtering the generated feed

The backing AI agent seems to be running keyword search queries, I assume using the same search APIs that power the search box. Honestly not bad

I've seen a few posts showing Fable unable to count, after testing them myself I'm inclined to call them fake news. Strawberry (adjacent) mispelling tests on low and high

Lol Fable's token burn is real. I've only been using the Chat to evaluate it and 1 prompt/completion has been ~5% usage.

I'm gradually switching up my local stack to lemonade - here are a few notes. I use Open WebUI as my frontend the docs provide good guidance on setting up lemonade server. However if you use/want task models, you need to set it up to load multiple models at once. max_loaded_models in config.json

The models are pretty snappy on ROCm through the llama.cpp backend. Best model i've tested so far has been Nemotron-3-Nano-30B-A3B-GGUF. TTFS: 0.16, TPS: 63.5 out of the box with no tweaks. Not sure what opportunities there are to get better performance yet.

I do not understand how despite ever improving tools and technology, (IVR) Interactive Voice Responses just consistently gets worse. Trying to get a human agent is like navigating a labyrinth where 1 wrong response sends you back to the beginning.