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Did yesterday’s release shift the needle in the open vs. closed debate? Today in @ReedAlbergotti’s newsletter https://x.com/fdaudens/status/1953147586312872057
I signed this because, despite worrying about misuse of open models more than most, I would like that to be the bottleneck rather than “”is it beneficial to big companies commercially/reputationally etc.”” There are many benefits to the US investing here. https://x.com/Miles_Brundage/status/1952400404668657966
RT @natolambert: America needs to take open models more seriously. This summer the early lead in open model adoption of the US via Llama ha…”” / X https://x.com/ethanCaballero/status/1952459460703834392
The relative failure of Llama 4 turned out to be very consequential to the AI landscape. It led to the shifting the locus of open weights development to China, a move towards closed models as companies running local Llama couldn’t continue to upgrade, & big talent wars in the US.”” / X https://x.com/emollick/status/1951433537485500476
The US now likely has the leading open weights models (or close to it)… … but the real question is whether this is a one-off situation from OpenAI, in which case the lead will evaporate quickly as others catch up. But also unclear what their incentives are to keep updating.”” / X https://x.com/emollick/status/1952836130958917894
Why open-source AI became an American national priority | VentureBeat
Meta to share AI infrastructure costs via $2 billion asset sale | Reuters https://www.reuters.com/business/meta-share-ai-infrastructure-costs-via-2-billion-asset-sale-2025-08-01/
Andrew Tulloch – the man at Thinky who turned down Zuck’s $1.5B offer, had been at Meta for 11 years. Just like when Google lost Noam Shazeer, and had to pay $2.7B to get him back. Always know who your MVP is, and treat them right. Or pay 100X later, and still hear “hell no.””” / X https://x.com/Yuchenj_UW/status/1951677714173477031
We’re excited to introduce the Open Direct Air Capture 2025 dataset, the largest open dataset for discovering advanced materials that capture CO2 directly from the air. Developed by Meta FAIR, @GeorgiaTech, and @cusp_ai, this release enables rapid, accurate screening of carbon https://x.com/AIatMeta/status/1952477453857017948
Today Mark shared Meta’s vision for the future of personal superintelligence for everyone. Read his full letter here: https://x.com/AIatMeta/status/1950543458609037550
just one more cup before ollama gets ready https://x.com/ollama/status/1952762052755480893
LMStudio are using the upstream ggml implementation which is significantly better and well optimized. Looking at ollama’s modifications in ggml, they have too much branching in their MXFP4 kernels and the attention sinks implementation is really inefficient. Along with other”” / X https://x.com/ggerganov/status/1953088008816619637
getting ready for the day. @nvidia GeForce RTX is powered on. https://x.com/ollama/status/1952764954484027727
We’re excited to introduce a new parsing mode within LlamaCloud that lets you get complex visual recognition capabilities over documents 🖼️📑 at a cheaper price compared to pretty much anything else out there ⚡️ There’s a variety of VLM-enabled document parsing solutions out https://x.com/jerryjliu0/status/1953227974716665996
Recently Meta made headlines with unprecedented, massive compensation packages for AI model builders exceeding $100M (sometimes spread over multiple years). With the company planning to spend $66B-72B this year on capital expenses such as data centers, a meaningful fraction of”” / X https://x.com/AndrewYNg/status/1953509055584252013
