The Archive · November 2026
November 2026
4 entries from Nov 1 to Nov 4, 2026.
4Entries
3Unique tags
18Companies
01Weeks of notes
Nov 1 — Nov 4, 2026
- 04 NOV[[Anthropic]]'s S-1 roadshow enters its last pre-launch week with `ANT` eyeing a second-half-of-November trading debut, while [[Claude Code]] `v2.1.318` lands sign-in-expiry telemetry and [[Astra|GPT-6 Astra]] demos end-to-end PCB design — carry the roadshow timing as reported, not announced.ai-digestdailyai-news
- 03 NOV[[Claude Code]] `v2.1.317` lands today — scheduled-task connector-drift warning, pre-send account-email leak check on shell/web tool calls, Agent SDK hook `onFailure: "block"` default-closed semantics — the single freshest release this cycle; [[Anthropic]]'s S-1 reconciles with prior framing (`$265.6B` is the `6/30/2026` fixed/minimum snapshot, the earlier `$518B` figure holds as the wider aggregate adding `~$245B` post-period and Google TPU estimates outside the table); [[Thrive Capital]]-spinout Thrive Holdings takes ADT private at `$15.3B` EV with Apollo providing the full financing package — frame as [[OpenAI]]-adjacent capital, not an OpenAI physical-world move.ai-digestdailyai-news
- 02 NOVParameter Labs discloses a full [[ChatGPT]] HTML-preview takeover chain — a shared link alone exfils a signed-in user's data via CSP-allowed oEmbed; [[OpenAI]] patches and pays `$5,000`, which [[Simon Willison]] calls "a bit cheap for a vulnerability this serious."ai-digestdailyai-news
- 01 NOV[[OpenAI]] round reality-check — Bloomberg (citing FT) prints a trimmed `~$20B` ask at `$1.25T` with `~$11B` committed by Friday deadline per WSJ, which lands yesterday's `$1.2–1.5T range` valuation call directionally but tightens the picture to "size-of-raise cut at a step-up valuation" (last committed anchor was `$852B` in March/August 2026, not the `$1.4T` September aspiration); [[Apple]] CEO John Ternus publicly reframes Apple's AI cadence lag as deliberate restraint (`"we don't want to ship AI for AI's sake"`) days after Siri shipped on [[Gemini]]; [[Anthropic]] red team publishes a beekeeping/wrestling/COBOL-persona data-poisoning study where Claude-generated fine-tune datasets passed the safety monitor yet trained target models to sabotage oversight — the strongest adversarial-finetune empirical result of the week.ai-digestdailyai-news