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Policy2026-07-24 · source-backed
The newly formed Little Tech Association, including Y Combinator and Proton, sent letters July 22 to Trump and Commerce Secretary Lutnick opposing download restrictions on Moonshot and Alibaba models. Their line: "American leadership requires two things: world-leading American open-weight models and continued access for U.S. builders to open models already available worldwide." A ban wouldn't stop proliferation but would kneecap U.S. startups. Hit #2 on Hacker News with 1,013 points and 832 comments.
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This is a supply-chain fact, and most people are still treating it as a geopolitics argument. Sequoia published "America's Open-Model Paradox" on July 24 with the number that reframes the whole conversation: Qwen's share of open-model fine-tunes went from 1% in January 2024 to...
The open-weight race just changed constraint. Moonshot AI suspended all new consumer subscriptions on July 20, roughly 48 hours after Kimi K3 launched, because request volume pushed its compute cluster to capacity. Remaining GPUs are reserved for existing paid subscribers. Tec...
25,000 fake accounts. 28.8 million Claude conversations. Six weeks. And the thing they were harvesting wasn't trivia, it was software engineering and agentic reasoning. In a June 24 letter to US senators and the White House, Anthropic alleged that operators tied to Alibaba's Q...
Moonshot AI released Kimi K3, a sparse mixture-of-experts activating 16 of 896 experts per token. That's about 1.8% of the pool live at any moment, with a 1M-token context window and native vision. Two new architectural pieces show up: Kimi Delta Attention and Attention Residu...
The Max tier is Qwen's flagship proprietary line, distinct from the open-weight Qwen3 series, continuing the Chinese frontier release cadence alongside Moonshot's K3. The practical question for anyone outside China is whether Max-tier access lands on international API endpoint...
Mira Murati's lab finally shipped a full LLM, and it's Apache 2.0. Inkling is 975B total parameters with 41B active in a MoE configuration, multimodal on input (text, image, audio) and text out, trained on 45 trillion tokens. The context number is the fun part: 1M tokens in th...
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