Raw Signals

Dated, source-linked observations imported from the QWG AI archive.
These are evidence records, not finished editorial conclusions.

1332 public records15 reviewed patternsOpen JSON index

Key takeaway

Across 1332 observations, most signals relate to model behavior, evaluation discipline, and real-world agent operations. Strong evidence clusters around tooling, memory, routing, and productized agent execution.

agentscoding agentsagent harnessagent runtimemodelsagent protocols

What this means

Teams are moving from experiments to systems. The emphasis is on verifiable behavior, operational safety, and measurable outcomes—especially in agent memory, evaluation rigor, and forward-deployed engineering.

Filters (current page)

1-10 of 10 matching raw signals on this page
  1. icy-for-54503c

    arXiv has updated its rate limit policy for all submitters.

    arXiv announced an updated rate-limit policy effective October 1, 2026: submitters may make up to two submissions per calendar month across all categories, with a separate maximum of three active submissions at any time.

    notableannouncement
    source-linked
    1
  2. student-88f0ce

    Vibe physics: The AI grad student

    Harvard physics professor Matthew Schwartz reports supervising Claude Opus 4.5 through a theoretical-physics calculation: resumming the Sudakov shoulder in the C-parameter distribution.

    notableresearch
    source-linked
    1

Source & exports

Primary indexes and programmatic access to this dataset.

Archive contractEnglish normalized copy, Telegram provenance, public sources only
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