source&pool
A daily wire of long-form journalism, video, and discourse — filed, tagged, and laid out flat.
VOL. I·NO. 01
WEDNESDAY, SEPTEMBER 16, 2026
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  1. 001Hacker NewsSEP · 16English

    Show HN: Context Freshness Ledger – a tiny schema for reviewable agent memory

    Context Freshness Ledger is a lightweight JSON schema for tracking whether AI agent memory remains valid before taking action. It records the source, observation time, scope, proposed action, and a human review decision on whether context is current, stale, or requires person resolution.

    By Chengyixu
  2. 002Hacker NewsSEP · 15English

    Who funds METR? The viral Anthropic funding thread

    Science writer Kevin Bass published a viral thread in September 2026 alleging that METR, a nonprofit conducting safety evaluations for major AI companies, receives funding traced through multiple foundation layers to Anthropic investor Dustin Moskovitz, raising questions about its independence. The claims rely on public IRS filings and SEC records but lack definitive proof of direct funding to METR itself, while METR disputes the allegations and the timing coincides with Anthropic's disclosure of a security incident and METR's launch of an independent investigation.

    By Tokenstead
  3. 003Hacker NewsSEP · 11English

    AGI and ASI Safety: the hardest problem humanity has yet to solve

    Artificial General Intelligence (AGI) and superintelligence (ASI) promise revolutionary benefits like disease cures and material abundance, but pose existential risks if built without proper safety controls. The core challenge is that safety research receives minimal funding compared to capability development, no individual lab can afford to slow down due to competitive pressures, and humanity has never agreed on how to align machine values with human interests.

    By Bill Guan
  4. 004InterconnectsAISEP · 10English

    One resignation turned the embers of AI fear into a wildfire

    A resignation by AI researcher Jacob Coxon over safety concerns sparked widespread public discussion about existential risks from AI, amplified by fear-driven narratives and rising industry stakes. The event exposed tensions within AI labs over risk assessment, with disagreements between researchers on extinction probability estimates and the validity of existential risk discourse versus concrete near-term harms.

    By Nathan Lambert