Integuide AI News

20 Jun 2026

Digest: Chinese DUV/EUV chipmaking forecast, Fable 5 capabilities, an O*NET for AI R&D

Today's lead is a detailed forecast of China's domestic photolithography progress and what it means for compute access, alongside a deep look at the capabilities of Anthropic's now-suspended Fable 5, a proposal to map the tasks of AI research itself, and fresh alignment research on distilling misaligned models.

  1. A forecast of Chinese DUV and EUV photolithography progress

    The AI Futures Project forecasts how fast China can advance domestic deep-ultraviolet and extreme-ultraviolet photolithography, drawing on what ASML's trajectory does and doesn't reveal. The pace of indigenous chipmaking tooling bears directly on whether export controls can durably constrain Chinese frontier-scale compute.

    Hamish Low via AI Futures Project
  2. Claude Fable 5 and Mythos 5: Capabilities

    A detailed review of the capabilities of Anthropic's Claude Fable 5 and Mythos 5, made unavailable just three days after release when the US government imposed export controls in response to a jailbreak. The write-up assesses what the models could do — and the welfare and safety questions they raise — even as access remains suspended.

    thezvi.wordpress.com
  3. Toward an onet for ai rnd

    Epoch AI argues for building an O*NET-style taxonomy of the tasks that make up AI research and development, to track which parts of the R&D pipeline AI systems can already perform. Such a map would sharpen measurement of automation of AI research itself — a key input to forecasting recursive capability gains.

    Epoch AI (Gradient Updates)
  4. The distillation double bind: Distilling misaligned models either transfers misalignment or it doesn't

    Redwood Research argues distilling a misaligned model into a student presents a double bind: either misalignment transfers (yielding a model that may be easier to incriminate) or it doesn't (yielding a capable benign replacement). The framing has practical implications for using untrusted models safely.

    Alek Westover via Redwood Research
Beta digest — summaries are AI-generated; please verify against the linked sources before relying on them.
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