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Exponential View Azeem Azhar 13 July 2026, 11:46

ByteDance researchers discovered a new scaling law showing that AI models trained in 2026 learn approximately twice as fast as models from three months prior. CEO expectations for significant AI-driven job cuts declined from 46% in January 2025 to 20% in May 2026. The shift in job loss expectations suggests organizations are adapting to AI integration without mass workforce reductions.

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A new scaling law; AI job fears fade; Dementia in retreat++

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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