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#ailabs — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #ailabs, aggregated by home.social.

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  1. The #costofcompute for #AIlabs is expected to increase significantly in the coming years. This is due to the #rapidgrowth of #AIcapabilities, which will lead to higher margins for leading labs and a shift towards more efficient models. As a result, the #priceofcompute will rise, potentially pricing out many current #AIapplications. dwarkesh.com/p/why-compute-mig #tech #news #ainews

  2. #Wirestock, a platform for photographers, pivoted to a #dataprovider for #AIlabs in 2023, supplying #datasets of images, videos, and design assets. The company raised $23 million in Series A funding to expand its data supply business, which currently provides multimodal data to six major foundation model makers. techcrunch.com/2026/05/14/wire #tech #media #news

  3. Chinese #AIlabs are excelling at building #LLMs due to a culture that emphasises #meticulouswork, #collaboration, and a focus on the #finalproduct rather than individual recognition. This cultural difference, coupled with a large pool of talented students and engineers, allows #China to quickly adapt to new techniques and build highly effective models. interconnects.ai/p/notes-from- #tech #media #news

  4. All 11 xAI cofounders have departed Musk's AI startup, including eight since January. The $250 billion company lost researchers like Jimmy Ba (Adam optimizer co-author) and DeepMind's Igor Babuschkin after SpaceX's acquisition. Musk admitted xAI "was not built right" and is rebuilding with product hires rather than research talent. Suggests organizational challenges that funding and compute infrastructure alone cannot resolve.

    #AI #TechTalent #AILabs

    implicator.ai/all-11-xai-cofou

  5. #GoogleCloud is gaining momentum against AWS and Microsoft Azure, largely due to its focus on #AIstartups. The company works with nine out of ten leading #AIlabs and 60% of #generativeAI #startups, including #Lovable and #Windsurf. Google Cloud offers generous deals, such as $350,000 in cloud credits, to attract and support these startups. techcrunch.com/2025/09/18/how- #tech #media #news

  6. The chaotic reality of contemporary AI labs

    This was interesting from DeepMind’s Sholto Douglas about the reality of working in AI labs. They have billions of dollars flooding into them but they’re also scaling rapidly in a slightly chaotic way, working in ways that constantly throw up more things to explore than their existing capacity allows:

    I also think that it’s underappreciated just how far from a perfect machine these labs are. It’s not like you have a thousand people optimizing the hell out of computer use and they’ve been trying as hard as they possibly can.

    Everything at these labs, every single part of the model generation pipeline is the best effort pulled together under incredible time pressure, incredible constraints as these companies are rapidly growing, trying desperately to pull and upskill enough people to do the things that they need to do. I think it is best understood as with incredibly difficult prioritization problems.

    https://www.dwarkesh.com/p/sholto-trenton-2

    #AILabs #bigTech #capitalism #corporations #investment #Research

  7. During the #DiscAI-lab event, our colleague @neocarlitos will talk about why reusable and transparent #AI is impossible without #Software sharing at University of Utrecht #AILabs
    uu.nl/en/research/ai-labs/disc