Monday, October 26, 2026Radar run of Oct 26: 16 new entries, 3 read in full, 8 quotations checkedabout 5 minutes

Former junior Anthropic employee Ivan Vendrov publishes a first-person memoir of the company's early months, describing doubts about its strategy and priorities.

How to read this pageSerif their words, as the source published themMarked found word for word in the sourceSans our words

Oct 25
Read asSame facts, in the order each reader needs them.

Heard today

Press play to see and hear the person say it, from the source’s own player. Their words light up as they are spoken, and every one was found word for word in the source. Nothing loads from YouTube until you press play.

Advocate

“Our understanding of AI is actually decreasing over time, because the AIS are becoming more complex, much faster than we can understand them.”

Answering CNN's question whether more is known about neural networks three years after their 2023 conversation.

Connor Leahyadvocate for slowing AI down, former CEO of ConjectureAdvocateCNN, Oct 25 · found word for word · ▶ at 1:45

The video’s captions give a time for each line, not each word, so a word can light a few tenths of a second early or late. The recording is the evidence; the highlight is a guide.

What changed today

Decisions, new evidence, corrections and commitments we read in full, one per story. Arguments and recaps don’t count.

New evidenceLessWrong

Former junior Anthropic employee Ivan Vendrov publishes a first-person memoir of the company's early months, describing doubts about its strategy and priorities.

Essay: Some Memories of Early Anthropic

What it means for youFormer Anthropic employee Ivan Vendrov gives one person's memory of working inside an AI lab in its early days, which Vendrov says is not a portrait of the company today.

For lawmakersIvan Vendrov argues that little public information exists about how AI labs work inside, a gap that matters to anyone deciding what insiders should be free to say.

For researchersThe essay is an unverified recollection of one junior employee over a short window; Vendrov invites former colleagues and people at other labs to fill in the picture.

“Anthropic is now a massive organization with many silos and secrets and I have very little idea what was or is happening there in some overall sense.”

Vendrov states the limit of the account: it covers a short window and one junior vantage point.

Ivan Vendrovformer Anthropic employee in a junior roleLessWrong, Oct 26 · found word for word

Said today

One checked quotation per person, people with the power to act or first-hand knowledge first, at most two from any one group.

Who is quoted here: 1 with no group recorded yet.

Group not yet recorded

“This gap can be used to negotiate a pause/slowdown/pacing with China from a position of strength, and failing that can be independently burned to pause/pace the efforts of US labs.”

Hayekstan on what the US lead in frontier compute over China could be used for.

HayekstanLessWrong, Oct 25 · found word for word

Watch and listen

Interviews and talks we read in full, by what they add, then by reach. ▶ opens the video at the moment quoted.

1 of 4 videos and podcasts in this run were read in full, from captions or a transcript. Only those are ranked here; the rest are under “Everything else”, from their descriptions.

9min

VideoCNN66K views

Why so many AI developers are freaked out about AI

CNN explains for a general audience that AI developers still cannot see inside their models, with Connor Leahy saying understanding is shrinking.

“Much of the guts of AI is still a black box. We more or less understand what's happening inside them, but we don't know exactly how and why it always works.”

CNN's own summary partway through the explainer, before turning to deception, test awareness and guardrails.

CNNCNN, Oct 25 · found word for word · ▶ at 6:05

The entry, with 2 checked quotations

Decided and promised

What someone with the power to act did or committed to. A promise is not a deed: commitments are followed until they are kept or broken.

  1. Decision takenThe moderators of Reddit's r/opensource banned submissions of projects that use, are made by, or are intended for AI.The Verge

New research

Papers and reports, the ones we read in full first. The finding in our words, how it was reached, and what it cannot show.

1 of 1 research items.

ReportLessWrongfrom the description only

Different eval awareness may track different graders

Found
Qwen3.6 27B shows different kinds of eval awareness, most notably on safety and capabilities evals, and the split seems to track whether an LLM judge or an automated checker grades the eval.
How
Per the excerpt, probes and tests of eval awareness on the open model Qwen3.6 27B across safety and capabilities evals, including a probe rewritten to be about training.
Limits
Only the excerpt was read, so the sample sizes, the statistics and the authors' own stated limits are not known here.

Stories that continued

Events several sources covered, read as one thread across days.

Coming up

Dates when a decision can still change, from our decision briefs, and how to take part.

  1. 26Oct

    United Kingdom

    Lords Report stage of the Cyber Security and Resilience Bill, in the Lords Chamber: the next chance to amend it. The list of amendments is still open until the day.

    Should the UK make reporting serious AI incidents a legal duty?

Questions you could put to a minister

  1. Will the Government table an amendment on reporting serious AI incidents before the Lords consider the Bill on October 26? If not, why not?
  2. If AI incident reporting is to be required, who should have to report: the developer of the AI system, the organization using it, or both?
  3. What should count as a reportable incident or near miss, and who should receive the reports and act on them?

From the decision brief, in neutral words. We recommend no answer.

Where the answers stand

2 of the nine questions have an answer we keep up to date, with the reason for every change. All nine questions

Everything else today: 13 more entries, filed under the nine questions

Can AI systems act beyond what people intended or allowed?

Who can demand evidence, delay a release or stop an unsafe deployment?

How is AI used in attacks, defence and war?

What happens to work, income and the economy?

How is AI changing childhood, health and daily life?

How fast is AI advancing, and where is it heading?

Search and filter the week’s record

How this edition was made

So you can judge how far to trust it.

  1. 114 of 114sources answered
  2. 309items they published, October 25–26, 2026
  3. 29kept by a wide keyword filter
  4. 16became entries, 3 read in full
  5. 8quotations found word for word in the saved text
How this edition chooses
  • What changed: entries whose change is a decision, new evidence, a correction or a commitment, that we read in full; most important first; one per story.
  • Heard: the same rule as Said, from the quotations we can play: the recording’s captions carry them. Any entry qualifies, the weights put the ones that matter first, and a person is quoted once on the page.
  • Said: one checked quotation per person from the entries that matter, people with the power to act or first-hand knowledge first, at most two from any one group.
  • Watch and listen: interviews and talks we read in full, by importance, then by views.
  • Decided and promised: decisions, corrections and commitments, decisions first.
  • New research: papers and reports, the ones we read in full first.
  • The headline: written for the edition when we can; otherwise the top change.

Agents pick the items, write the summaries and the “why it matters” lines, and label what kind of change each one is. Code checks every quotation against the text we saved: the words must be there, in order, without a dropped “not”. That proves the words are in the source; it does not prove the person meant them as quoted. English sources only; X is not read yet.