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Shifting from debuggin code to debugging models. What actually happens when you train a model and why ? Read me latest blog while your model trains :)
Blog link in 🧵
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So true, "transformations happen in an instant" - @kushaal4
Most of the time its possible to clearly demarcate exactly when this happens, sometimes in the moment but definetly in retrospect.
And I think it’s more than just instantaneous. It also has a kind of all-encompassing quality to it: a flood of new things lifts the baseline, like a step up rather than just one thing getting better. It’s many things changing at once, and the cumulative effect makes it feel like you’re floating upward.
at almost every threshold there are a bunch of people who set up a basecamp where they discuss how to cross the threshold. some of those people do go on to cross the threshold, but those people tend to then become incomprehensible to most of those who are still in basecamp
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New SDLC 🤟🏻
Replying to @dhh
At those speeds, you could just Monte Carlo feature development with LLMs then use evolutionary methods to pick and choose the best bits of each implementation.
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The world isn't abmitious enough for the models. What are models not able to do for you today?
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We don't credit ourselves enough when we move a possibility from a zero to a non-zero.
Moving something into the relam of possiblity in itself is a game-changer! Be proud.
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"startups often garbage-collect broken companies and industries" -@paulg
This filter isnt talked about enough.
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1 week of using opus5-5 + sol-6.1 to code, for the first time i know im the one intentionally slowing things down and its not necessarily because the agents did something wrong/i-didnt-want , generating software is getting closer to speed of thought.
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🥶
“Cryptography is a subfield that’s extremely conspicuous by its absence from OpenAI’s list of 376 papers!
But my sources tell me that the AI cos have now started, gingerly and discreetly, investigating whether their latest internal models can break important cryptographic protocols and primitives.”
- Scott Aaronson, CS chair at UT Austin
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Why and What purpose does this serve ? 🙄
🚨 New RBI rule for anyone invoicing clients outside India, effective 1 October 2026.
Service and software exporters (freelancers, IT firms, consultants, tutors) now need to file an Export Declaration Form (EDF).
#FEMA #RBI #ExportCompliance #Freelancers #IndianStartups
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not enough people are talking about "login with chatgpt", that one move just lets openai bill you everywhere you go.
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If somone is bringing back tab-complete programming with jev pls let me know. Really missing that
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This is so cooll!!!!! Would love to see more open-players do this :)
Nearly half a year of silence. We spent it studying one problem: how far RL can scale.
MiMo-V2.6 is in the middle of its RL run right now. Three things we scaled: compute (~2B tokens per step, 1568 prompts × 16 rollouts, fully async), environments and harnesses (multi-task agentic RL, mixed across multiple harnesses in one run), and grader compute (agentic in-group credit assignment, with test-case and rubric-based rewards). We'll open-source the details piece by piece over the coming weeks.
Streaming the run: mimo.xiaomi.com/rl/
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