Today's Headlines

  • Sweden's Government Offices cut off the ChatGPT and Claude websites on staff computers from today, steering staff to Copilot
  • Reddit's r/opensource bans projects that use AI, are made by AI, or are built for AI
  • A dermatologist's test finds a 10-year-old CNN out-diagnoses GPT-6 Astra and Claude Fable 5.1 on skin cancer

The day's thread is where to draw the line on general-purpose AI. Sweden's Government Offices are removing AI services without a contract from staff computers, and Reddit's open source community wrote a ban on AI-related projects into its rules.

In a head-to-head on skin cancer, a ten-year-old model trained only on skin images beat two frontier general-purpose LLMs on diagnostic accuracy.

Today's Top Three

Sweden's Government Offices cut off the ChatGPT and Claude websites on staff computers from today, steering staff to Copilot

Sweden's Government Offices (Regeringskansliet), which comprise the Prime Minister's Office and the ministries, are blocking the web versions of ChatGPT and Claude on staff computers from October 26.

Swedish Radio's news programme Ekot reported the move on October 23. Staff are being directed instead to Microsoft Copilot, which the Government Offices approved after a review and has since hardened.

In an email to the public broadcaster SVT, the Government Offices said the browser interfaces of ChatGPT and Claude will no longer be reachable from work computers from October 26, while staff keep access to the ChatGPT and Claude language models through Intric. The block applies to the browser interfaces.

According to Computer Sweden, digitalisation director Mikael Wettercrantz wrote on the staff intranet that using AI services without a contract could have "consequences for our information security." The Government Offices had already restricted DeepSeek.

Ekot reported that the Swedish Tax Agency and the National Board of Institutional Care (SiS) have introduced similar blocks, and that the Swedish Enforcement Authority is considering one.

Reddit's r/opensource bans projects that use AI, are made by AI, or are built for AI

The moderators of Reddit's r/opensource posted new submission rules on the evening of October 24, US time, banning projects that use AI, are made by AI, or are intended for AI.

According to The Verge, the post opens: "If your project uses AI, is made by AI, or is intended for AI, it's not welcome on r/opensource. AI, as it exists today, is incongruent to this Open Source community." In the comments, a moderator said there is room for selective enforcement, such as software that incidentally includes AI-powered accessibility features like automatic captioning.

The rules also limit submissions to projects that are at least a year old, actively maintained and have multiple contributors. The moderators say they will no longer field requests for maintainers or contributors.

The rules effectively shut out non-English speakers as well. The post says the moderators cannot tell AI-written text from AI-translated text, and that people who do not speak English cannot check whether a translation is correct.

Commenters called the rules too broad and too vague, and a rival community, r/TrueOpenSource, has formed. The Verge notes that the Linux kernel now contains some AI-generated code, so projects built on it could fall under the ban.

A dermatologist's test finds a 10-year-old CNN out-diagnoses GPT-6 Astra and Claude Fable 5.1 on skin cancer

Dermatologist Dr Magnus Lynch published a comparison on October 25 of Inception v3, an image-recognition network Google published in 2015, against GPT-6 Astra and Claude Fable 5.1 on 200 skin lesions with biopsy-confirmed diagnoses.

The lesions were drawn at random from MILK10k, a dataset released in 2025 through the International Skin Imaging Collaboration (ISIC). Half should not be discharged, including 30 melanomas, and half are safe to discharge with no treatment, biopsy or follow-up. Each lesion comes with a clinical photograph and a dermoscopic image.

The CNN was fine-tuned on 68,011 images from the ISIC Archive on a single H100 GPU, with the 200 test lesions and every other image of the same lesions or patients removed. Both LLMs received the same two images and nothing else, and were asked for the most likely of six diagnoses, a confidence, a second choice, and whether the lesion could be safely discharged.

The CNN got the first-choice diagnosis right for 125 of 200 lesions (62%), against 84 for GPT-6 Astra and 85 for Claude Fable 5.1 (42% each). On the 30 melanomas, it named 13 correctly, against 8 and 11.

The discharge decisions told a different story. Of the 100 lesions that should not be discharged, GPT-6 Astra kept 97 and Claude Fable 5.1 kept 96, while they discharged 32 and 22 of the 100 safe lesions. At its preset threshold the CNN discharged 76 safe lesions but also 18 of the 30 melanomas; with its threshold matched to the LLMs, it discharged 2 or 1 melanomas.

Lynch lists the limits: 200 lesions cannot rank close results, each LLM case was run once and answers vary between runs, and the dataset has been public since 2025, so the LLMs may have seen it in training. He describes Inception v3 as a deliberately old baseline and writes that regulated skin cancer products perform considerably better.

Other Developments

Models & APIs

  • Nanbeige released Nanbeige4.3-33B on Hugging Face on October 24 under the Apache 2.0 license. In the company's own table comparing it with Qwen3.8-27B, Muse-Glimmer-30B and Gemma4-31B, it leads on 17 of 20 benchmarks, scoring 80.9 on Terminal-Bench 2.1. Nanbeige4.3-33B (Hugging Face)

Business

  • The BBC's nature series Blue Planet III is keeping in shots with plankton drifting in the water, or a boat or buoy in frame, that earlier series would have cut. Executive producer Elizabeth White described the approach to The Guardian, and The Verge framed it as a response to footage so polished that it can look AI-generated. Blue Planet III is keeping the rough edges in the age of AI (The Verge)

Source: Selected by the editors from the AI news inbox (collected October 26, 2026: 12 items, 1 primary and 11 secondary).