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@mlstreettalk
MLST is by Dr. Tim Scarfe @ecsquendor w/ cameos from @DoctorDuggar https://www.youtube.com/c/MachineLearningStreetTalk (early access/priv.discord) - Sponsor us!
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A researcher says an early-reject phase at SaTML cut submissions by about 40%.
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Goodfire researcher Nick Cammarata argues that modern tools reveal most neurons as legible in models up to trillions of parameters.
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MLStreetTalk says a post calling it the first evidence of recursive self-improvement drew 1.8 million views.
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An October 9 post says 'we're reaching' those scores now, without giving any figures.
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A post also highlights why evolved networks find structure that stochastic gradient descent (SGD) misses.
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A post quotes AI as a 'superhuman specialist' that's 'sub-human at running itself,' then speculates about what that gap could lead to.
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ML Street Talk shares a video featuring PolyAI's Shawn Wen discussing how the new model handles turn-taking.
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Adaption AI says it released the report while asking how to post-train a model for a new capability with zero data.
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Greg Kamradt said $37K would be awarded to the top open-source solutions for Milestone Prize #2. He said Tufa had said it wouldn't open-source this time, after doing so the first time.
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A user quoted a claim that “it” would net out at “half the dollar in API spend” compared with the old Pro $200 plan. They praised the transparency but said it “hurts a lot.”
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A user says Sonnet 5.5 is better than Astra and has canceled their OpenAI subscriptions. They praise Opus 5.5 but argue that Sonnet’s high output-token use eats into its speed and cost gains.
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A user shared a photo link in a reply, then replied to their own post with another, writing, “And another one :).”
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The Wall Street Journal says the model was slated for ChatGPT and Codex. CNBC says OpenAI found it fell short of the company’s safety standards.
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One user argues that coding agents make software engineering even harder: unlocking their full potential requires extraordinary discipline and knowledge.
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Sakana AI says Schmidhuber will help guide its newly formed RSI Lab, which aims to drive a compounding cycle of scientific discovery to improve machine intelligence.
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An essay argues that engineers’ work is shifting from writing code by hand to designing systems that let AI code correctly at scale, using tests, review agents and feedback loops.
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Replying to a DevDay teaser, a self-described GPT fan says they can use Opus 5.5 for days without running out of usage, unlike Astra. They also rate Opus above GPT6 Sol.
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MLStreetTalk spoke with Frank Hutter of Prior Labs about TabPFN, which it describes as a foundation model that makes predictions on tables in one forward pass.
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A user says Opus 5.5 could make it easier to explain technical products through marketing videos, sales conversations and internal communications.
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The Wall Street Journal says unfamiliar, constantly changing AI tools have left many employees feeling overwhelmed and overworked, even as the technology delivers productivity benefits in some cases.
