More
News 116K views since yesterday

Anthropic uses Claude to build Claude, despite its own warnings

Sky News' Rowland Manthorpe examines a filing that presents AI-driven development as both a business advantage and a potential safety risk.

Why this story? One of Sky News's most watched videos since yesterday, with 116,138 views.

Anthropic is on a path it may not be able to stopAnthropic is on a path it may not be able to stop

Things we can learn from the video

Press to jump

  1. 0:23Anthropic calls using Claude to help develop future AI models "closing the loop."
  2. 2:16Financial charts show heavy research spending and an operating loss despite rising revenue, according to the filing.
  3. 3:57Anthropic's task-automation chart describes Claude moving from assistance toward collaboration and leadership.
  4. 4:43Manthorpe examines Anthropic's warning that a significant development acceleration might be recognized only afterward.
  5. 5:56Epoch AI experiments suggest current models still lag human-level invention.
  6. 7:37Manthorpe questions whether a shutdown switch would help if dangerous acceleration were recognized too late.

Claude is helping develop its own successors. According to Sky News technology correspondent Rowland Manthorpe, 's financial disclosure filing presents that process as a major advantage while warning that the resulting acceleration could become difficult to recognize or control.

His report examines what Anthropic calls "closing the loop": using increasingly capable AI to perform the coding and research that help produce more capable AI. The commercial incentive is straightforward. Faster development can improve the product, helping sustain the resources needed for further research.

Manthorpe shows charts describing Claude's changing role inside Anthropic, from assisting employees to collaborating with them and increasingly leading tasks. He also examines heavy research spending that, according to the filing, has left the company with an operating loss despite sharply rising revenue.

The safety concern is not simply that development might get faster. It is that the company might recognize a significant acceleration only after it has happened. Manthorpe also raises the risk of errors carrying forward through successive rounds of AI-assisted development.

There is an important limit to that scenario. The report cites Epoch AI experiments in which models still fall short of human-level invention. Better coding performance does not, by itself, establish that an autonomous cycle of scientific breakthroughs has arrived.

Sky's analysis drew roughly 116,000 views since yesterday. Its final question concerns the familiar reassurance of a shutdown switch: Manthorpe argues that the ability to turn off a data center may offer less protection if people recognize the danger too late to act.

Published on Trari

Where next?

Or follow us on Telegram

The facts
Channel
Sky News
Subscribers
9,390,000 ▲ 10,000 this week
Channel views, last 7 days
6,676,316
Channel views, pace per day
1,088,107 (on a normal day: 2,338,771)
Video published
October 27, 2026
Video views so far
217,869 (2 days online)
Video views, pace per day
116,095 (on a normal day: 200,431)

The numbers

Sky News' Anthropic analysis gained roughly 116,000 views since yesterday, placing it second among the channel's videos published in the past two days.

subscribers
9,390,000
▲ 10,000 in the last 7 days
total views
5,958,971,690
views per day
1,088,107
typical day: 2,338,771
the video
views
217,869
likes
1,174
comments
243
days online
2
subscribers: this channel and similar channels
NBC News
12,200,000
MS NOW
10,000,000
Sky News
9,390,000
VICE News
9,300,000
USA TODAY
7,590,000
CBS News
7,120,000
As of October 29, 2026 · Data source: Trari Social News, Trari Traffic Trends and Ranking Platform, Google YouTube
Subscriber, view, like and comment counts are YouTube's. Rates, usual days, rankings, comparisons and categories are Trari's own calculations.
Developed with YouTube

💡 Test your knowledge

What does Anthropic call using AI to help develop more capable AI?