"The lesson is post-training bottlenecks are solved by refining methods and data" Zhibin Gou (@zebgou) If Gemini-3 proved continual scaling pretraining, DeepSeek-V3.2-Speciale proves scaling RL with large context. We spent a year pushing DeepSeek-V3 to its limits. The lesson is post-training bottlenecks are solved by refining methods and data, not just waiting for a better base. — https://nitter.net/zebgou/status/1995462720078934213#m
MACHINE LEARNING
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Using torch.set_default_device for CUDA Configuration
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I’m fond of torch.set_default_device(‘cuda’)
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DeepSeek Math V2: Open Weights Model for Mathematical Problem Solving
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DeepSeek Math V2
A huge open weights math model aimed at proofs and problem solving. It is tuned for contests like IMO and Putnam and licensed so companies can use and fine tune it for real world scientific and engineering work. -
AI Comparison for Double/Triple Pendulum
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Gemini 3.0 Pro vs ChatGPT 5.1 vs Claude Opus 4.5
— God of Prompt (@godofprompt) 1 décembre 2025
Only Claude got it right.
Prompt I used:
Write a JavaScript animation of a double or triple pendulum system. The segments should swing realistically under gravity, with adjustable mass and length. pic.twitter.com/KgP9Y82ZpSGemini 3.0 Pro vs ChatGPT 5.1 vs Claude Opus 4.5 Only Claude got it right. Prompt I used:
Write a JavaScript animation of a double or triple pendulum system. The segments should swing realistically under gravity, with adjustable mass and length. -
Flexion Robotics Raises $50M Series A for Humanoid Robot Intelligence
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Humanoid robotics just got a major boost. @FlexionRobotics has raised a $50M Series A to build what could become the intelligence layer for the next generation of humanoid robots. The Zurich-based team, led by Nikita Rudin (with experience from ETH Zurich, NVIDIA, Meta, Google, and Tesla), is taking a different approach than most in the space: 🔹 Language-level task reasoning 🔹 A VLA model trained heavily in simulation 🔹 Transformer-based whole-body control The ambition? Robots that don’t just replay human demos, but actually understand, adapt, and perform tasks with true autonomy. If humanoids are ever going to be useful in factories, logistics centers, and real industrial environments, someone has to solve this intelligence layer. Flexion is taking that challenge head-on. With $50M in fresh capital, they’re now scaling compute, expanding robot fleets, and moving toward deployments with major OEMs. And honestly? Watching the progress — even the way these robots walk — is incredible. #AI #Robotics #Humanoids #Automation #DeepLearning #FutureOfWork Source 🙏 @lukas_m_ziegler @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @pascal_bornet @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AkwyZ
→ View original post on X — @marcusborba, 2025-12-01 12:42 UTC
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Ultimate AI Coding Battle 2025
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ChatGPT 5.1 vs Gemini 3.0 vs Grok 4.1 Ultimate AI Coding Showdown See who comes out on top
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Can Language Models Effectively Self-Refine Their Responses?
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⚒️ Can LMs (especially reasoning models) effectively self-refine their responses when prompted to do so? In our new challenging benchmark, RefineBench, we revisit this question and show that the answer is still "no"-but there is a nuance! 🤗 huggingface.co/papers/2511.2…
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Context Engineering Clearly Explained with Visuals
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Context engineering, clearly explained (with visuals) #AI @mvollmer1 @enilev @anijov @CatherineAdenle @FmFrancoise @AkwyZ @avrohomg @jblefevre60 @BetaMoroney @gvalan #MachineLearning @CurieuxExplorer @BIScorecard @Nicochan33 @Kevin_ODonovan @Hana_ElSayyed @sallyeaves
→ View original post on X — @marcusborba, 2025-12-01 02:59 UTC
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Industrial AI Data Quality and Preprocessing for Manufacturing
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Your AI is only as smart as your data is clean.
— Lucian Fogoros (@fogoros) 30 novembre 2025
Erikjan Franssen of @adlibsoftware & Cesar Bravo of @honeywell explain how preprocessing & context keep industrial AI from learning the wrong lessons. https://t.co/u8mjZDuZIg #sponsored #adlib_iiot #AI #Manufacturing @IIoT_World pic.twitter.com/y9AjDlzxukYour AI is only as smart as your data is clean. Erikjan Franssen of @adlibsoftware & Cesar Bravo of @honeywell explain how preprocessing & context keep industrial AI from learning the wrong lessons. https://
buff.ly/7ge1Hbq #sponsored #adlib_iiot #AI #Manufacturing @IIoT_World -
Gemini vs ChatGPT vs Claude: Heptagon Physics Demo
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Gemini 3 Pro (left) vs ChatGPT 5.1 thinking vs Claude Opus 4.5 (right)
— God of Prompt (@godofprompt) 30 novembre 2025
Prompt:
Multi-ball heptagon physics
Write html, css, and javascript to display 20 balls bouncing inside a spinning heptagon. each ball should have a unique color, a number label, gravity, and collision… pic.twitter.com/YvZ7jC8Mc1Gemini 3 Pro (left) vs ChatGPT 5.1 thinking vs Claude Opus 4.5 (right) Prompt:
Multi-ball heptagon physics
Write html, css, and javascript to display 20 balls bouncing inside a spinning heptagon. each ball should have a unique color, a number label, gravity, and collision