@finbarrtimbers
post training @microsoftai
AI
Humans& says developers can access the model through its Agents API without joining a waitlist.
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A user describes the DeepSeek stack as newly released and asks for a comparison without offering a verdict.
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In October 2026, the instructor said he was teaching a graduate course and joked about his students’ job worries.
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Business Insider reports some AWS sites lack enough available power to run racks; Amazon calls nearby staging best business practice.
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A user calls the university's perceived irrelevance surprising, given their view that reinforcement learning dominates modern AI.
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A user argues that data quality is the only thing that matters in machine learning.
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A user compares that potential shift to writing and the printing press, which spread intellectual output widely.
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Microsoft AI says the mixture-of-experts model has 80 billion active parameters; post-training results are still to come.
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Stanislav Fort says he'll lead AI security research at Cohere if the deal closes.
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Its creator says the net exactly matches JavaScript outputs, is fully differentiable and runs in a browser without a GPU.
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A user calls something “the future of coding agents” but does not identify what they mean.
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A user asks whether a linked claim is mathematically true if real-number arithmetic is assumed.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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Arthur Douillard describes work since March to scale reinforcement learning for Gemini, with bug fixes, improvements and more still to build.
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Inherent Labs announced the letter on September 29, saying UK AI companies that have raised $5 billion support its call for people to be free to start and scale businesses.
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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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One post praises Muse as a solid AI assistant but says many readers distrust Meta. The author argues that its architecture reduces the need for that trust.
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Cofounders release public beta of writing model from new AI lab.
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Microsoft AI CEO shared the release of the company's first reasoning model built from scratch.
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AI2 researcher reports turning a corner after more than a year of recovery.