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#thinking-machines-lab — Public Fediverse posts

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  1. Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs

    This was really thought provoking from the FT’s AI Shift newsletter. I’m persuaded by Nick Srnicek’s argument that the push for AGI can be understood economically as a search for a product that won’t need to be fine-tuned. But if fine-tuned open weights models can outperform frontier models then this overturns the economics of the AI labs:

    But a new case last month [email.newsletters.ft.com] took things a step further, when Ray Dalio’s investment firm Bridgewater Associates partnered with AI platform company Thinking Machines Lab (founded by former OpenAI CEO Mira Murati) to fine-tune a model based specifically on how its own investment managers do their work. As with the legal example, the results significantly outperformed frontier models, this time at a 14th of the cost. Crucially, however, use of the firm’s own proprietary records and its highly specialist staff’s knowhow may make these gains more durable.

    Bridgewater had its own experts write bespoke prompts that framed questions in a way that guided the models to the correct answers. This produced solid gains, but they still topped out below 80 per cent accuracy.

    A prompt only imparts the expertise a professional is able to put into words — what is much better is to learn from their actions. For the fine-tuning step they put together a set of tasks drawn from their own investors’ daily workflows, and crucially also had staff ensure that the ideal responses which would guide the model’s training did not just represent ‘correct answers’ but ‘exactly how our investment professionals would approach this’.

    At the end of the process they had a bespoke model whose behaviour had been tuned towards Bridgewater’s own assessment of excellence, taking it up to 85 per cent accuracy — an almost 30 per cent reduction in errors compared to the frontier models — at a tiny fraction of the cost.f

    There’s an obvious sociological question here: what happens if our investment professionals need to approach this in a different way? Human professionals can learn and adapt. They can do so in ways that change how they prompt if they’re using a frontier model. In contrast a model fine-tuned in this way will be locked into a particular set of dispositions that might be appropriate for a context at T1 but will cease to be appropriate at a later T2. Indeed introducing the models is liable to change the context, particularly if you use this as an excuse to lay off your staff! There’s an organisational problem here which is blindingly obvious to anyone who has thought in any depth about the fact that contexts change.

    #automation #capitalism #FrontierModels #MiraMurati #openWeightsModels #organisations #ThinkingMachinesLab
  2. winbuzzer.com/2026/07/19/think

    Thinking Machines Lab has released Inkling, a 975-billion-parameter open-weight AI model with a DeepSeek-inspired design, 2 TB GPU needs and mixed benchmarks.

    #AI #Inking #ThinkingMachinesLab #AIModels #DeepSeek

  3. winbuzzer.com/2026/07/19/think

    Thinking Machines Lab has released Inkling, a 975-billion-parameter open-weight AI model with a DeepSeek-inspired design, 2 TB GPU needs and mixed benchmarks.

    #AI #Inking #ThinkingMachinesLab #AIModels #DeepSeek

  4. Artificial intelligence company Thinking Machines Lab is taking on Chinese-made open-weight AI models and could become a real contender alongside OpenAI and Anthropic. Learn about its new open AI model Inkling.

    flip.it/D5psGM

    #AI #Inkling #ThinkingMachinesLab

  5. Artificial intelligence company Thinking Machines Lab is taking on Chinese-made open-weight AI models and could become a real contender alongside OpenAI and Anthropic. Learn about its new open AI model Inkling.

    flip.it/D5psGM

    #AI #Inkling #ThinkingMachinesLab

  6. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  7. #Inkling is #ThinkingMachinesLab’s new #openweight Mixture-of-Experts #transformermodel with 975B total parameters, designed for customisation and multimodal capabilities. It excels in #agenticcoding, #tooluse, and #controllablethinking effort, making it a versatile #foundationmodel for various applications. Inkling also demonstrates strong performance in audio and vision tasks, and is well-calibrated for forecasting and prediction. thinkingmachines.ai/news/intro #tech #media #news

  8. winbuzzer.com/2026/07/04/bridg

    Bridgewater and Thinking Machines Lab say a tuned Alibaba Qwen model beats GPT, Claude, and Gemini on finance tasks, with lower inference cost and internal caveats.

    #AI #GPT #Qwen #TinkerAPI #ThinkingMachinesLab #AIModels #EnterpriseAI #OpenSourceAI

  9. winbuzzer.com/2026/07/04/bridg

    Bridgewater and Thinking Machines Lab say a tuned Alibaba Qwen model beats GPT, Claude, and Gemini on finance tasks, with lower inference cost and internal caveats.

    #AI #GPT #Qwen #TinkerAPI #ThinkingMachinesLab #AIModels #EnterpriseAI #OpenSourceAI

  10. Mira Murati Wants Her #AI to ‘Keep Humans in the Loop’

    The #ThinkingMachinesLab founder and former #CTO of #OpenAI tells WIRED she isn’t interested in #automating people out of jobs. Instead, she’s building AI that can collaborate.
    #artificialintelligence

    wired.com/story/mira-murati-hu

  11. Mira Murati Wants Her #AI to ‘Keep Humans in the Loop’

    The #ThinkingMachinesLab founder and former #CTO of #OpenAI tells WIRED she isn’t interested in #automating people out of jobs. Instead, she’s building AI that can collaborate.
    #artificialintelligence

    wired.com/story/mira-murati-hu

  12. 2 von 3 Co-Gründern verlassen Thinking Machines Lab. OpenAI holt sich Barret Zoph und Luke Zettlemoyer von Mira Murati zurück. Zoph ist spezialisiert auf Post-Training, Zettlemoyer bringt akademische Expertise der University of Washington mit. Für Muratis Deep-Tech-Startup ist der Verlust des Gründungsteams kurz nach Start ein kritisches Signal an Investoren. #OpenAI #MiraMurati #ThinkingMachinesLab
    all-ai.de/news/news26/openai-m

  13. 2 von 3 Co-Gründern verlassen Thinking Machines Lab. OpenAI holt sich Barret Zoph und Luke Zettlemoyer von Mira Murati zurück. Zoph ist spezialisiert auf Post-Training, Zettlemoyer bringt akademische Expertise der University of Washington mit. Für Muratis Deep-Tech-Startup ist der Verlust des Gründungsteams kurz nach Start ein kritisches Signal an Investoren. #OpenAI #MiraMurati #ThinkingMachinesLab
    all-ai.de/news/news26/openai-m

  14. Exciting news in the AI world! A VIT alumnus steps into a leadership role at Thinking Machines Lab as their new CTO. Bringing cutting-edge expertise from top tech circles, this professional is set to drive innovative research and technological advancement in artificial intelligence. What groundbreaking developments will emerge? 🚀 #ThinkingMachinesLab #ArtificialIntelligence #TechLeadership #VITAlumni

    🔗 aidailypost.com/news/vit-alumn

  15. Exciting news in the AI world! A VIT alumnus steps into a leadership role at Thinking Machines Lab as their new CTO. Bringing cutting-edge expertise from top tech circles, this professional is set to drive innovative research and technological advancement in artificial intelligence. What groundbreaking developments will emerge? 🚀 #ThinkingMachinesLab #ArtificialIntelligence #TechLeadership #VITAlumni

    🔗 aidailypost.com/news/vit-alumn

  16. 🚀🤖 "Brilliant" minds at Thinking Machines Lab have unearthed groundbreaking revelations that bigger is, indeed, better when it comes to #AI models. 🙄 Turns out, posttraining on smaller datasets is just a total waste because who needs efficiency when you have infinite computing power and time, right? 😂
    thinkingmachines.ai/blog/lora/ #Research #BiggerIsBetter #ThinkingMachinesLab #DataEfficiency #InfiniteComputing #HackerNews #ngated

  17. 🚀🤖 "Brilliant" minds at Thinking Machines Lab have unearthed groundbreaking revelations that bigger is, indeed, better when it comes to #AI models. 🙄 Turns out, posttraining on smaller datasets is just a total waste because who needs efficiency when you have infinite computing power and time, right? 😂
    thinkingmachines.ai/blog/lora/ #Research #BiggerIsBetter #ThinkingMachinesLab #DataEfficiency #InfiniteComputing #HackerNews #ngated

  18. TechCrunch: Thinking Machines Lab wants to make AI models more consistent. “There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a blog post published on Wednesday, Murati’s research lab gave the world its first look into one of its projects: […]

    https://rbfirehose.com/2025/09/14/techcrunch-thinking-machines-lab-wants-to-make-ai-models-more-consistent/

  19. TechCrunch: Thinking Machines Lab wants to make AI models more consistent. “There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a blog post published on Wednesday, Murati’s research lab gave the world its first look into one of its projects: […]

    https://rbfirehose.com/2025/09/14/techcrunch-thinking-machines-lab-wants-to-make-ai-models-more-consistent/

  20. siecledigital.fr/2025/08/11/mi
    En effet, d’après le journal, #Meta #Zuckerberg aurait proposé aux collaborateurs de #ThinkingMachinesLab la start-up de #MiraMurati, des sommes allant de 200 millions et jusqu’à 1 milliard de dollars pour rejoindre le projet Superintelligence Lab de Meta mais elle a refusé

  21. Mira Murati raises a staggering $2B pre-product for her new venture Thinking Machines Lab, aiming to build open, user first AI a bold challenge to OpenAI. Backed by Nvidia, AMD, Cisco, and Andreessen Horowitz, she’s turning insider knowledge into a revolutionary move.

    #MiraMurati #AIStartup #ThinkingMachinesLab #OpenAI #TechNews #AIRevolution #OpenSourceAI #FutureOfAI #StartupFunding

    Read Full Article Here :- techi.com/mira-murati-thinking

  22. Thinking Machines Lab secures largest seed round ever to create AI that collaborates through conversation and sight. #ThinkingMachinesLab

    gadgetbond.com/thinking-machin

  23. Wow. Huge.

    #MiraMurati #CEO #ThinkingMachinesLab (Former #CTO #OpenAI)
    Raises $2 billion seed round
    $10 billion valuation
    Building next-generation #AIplatform
    Aimed at enabling more collaborative #HumanAIinteraction.
    Deal led by Andreessen Horowitz with participation from Conviction Partners
    Among the largest-ever seed rounds in Silicon Valley’s history.

  24. Thinking Machines Lab : après OpenAI, Mira Murati lance sa propre startup d’IA
    mac4ever.com/187305
    #Mac4Ever #ThinkingMachinesLab

  25. 📗 AI
    🔴 Ex-OpenAI CTO Mira Murati Unveils ‘Thinking Machines Lab’

    🪧 Murati’s AI startup vows customizable & transparent AI, publishing research & code.

    🪧 She poached 10+ elite AI minds, incl. John Schulman (OpenAI co-founder) & Barrett Zoph (ex-OpenAI CTO).

    🪧 Unlike AGI rivals, the startup aims for human-AI collaboration, not full autonomy.

    #AI #OpenAI #MiraMurati #ThinkingMachinesLab #DeepMind

  26. 📗 AI
    🔴 Ex-OpenAI CTO Mira Murati Unveils ‘Thinking Machines Lab’

    🪧 Murati’s AI startup vows customizable & transparent AI, publishing research & code.

    🪧 She poached 10+ elite AI minds, incl. John Schulman (OpenAI co-founder) & Barrett Zoph (ex-OpenAI CTO).

    🪧 Unlike AGI rivals, the startup aims for human-AI collaboration, not full autonomy.

    #AI #OpenAI #MiraMurati #ThinkingMachinesLab #DeepMind