Who is checking? Nvidia's board, a cautious bank and a quiet Gemini privacy change

On Friday, a bug report said Claude Code sends your email address to websites. On Sunday, we covered Apiiro's report linking its 'Don't Ask Again' option to passwords in 1,122 public GitHub files. Today, Claude Code is back at the top of Hacker News, from a new angle.

According to The State of AI, Goldman Sachs, the big Wall Street bank, is pulling Claude Code from its bankers and traders. Claude Code is Anthropic's AI coding assistant: it runs on your computer and can act for you. The story got 780 points and 413 comments, the most of any story today.

Our sources do not give Goldman's reason. We cannot say if the recent leak reports played a role, so please do not assume it. The headline names bankers and traders; it does not say what happens for other staff.

Last Thursday, a Hacker News post said Gemini trains on chat history even for paying users. Now a new post on r/artificial points to something more personal: human eyes on your files.

In 2023, when Google launched Gemini's links to Gmail, Docs and Drive, it promised that this personal content 'is not seen by human reviewers'. According to the post, Google reversed that. An updated Google help page, and an October 16 edit to the 2023 blog post, now say connected Drive and email content can go into human review. Google's warning says what reviewers see 'may just be the email or file'. The poster says this applies to consumer Gemini.

This comes from a Reddit post, and our sources have no comment from Google. The edit is dated October 16, but people are only talking about it now, weeks later.

Sunday, we told you about one user who said Qwen3.8-Flash-Next, an open model run at home, tried to find API keys and fetch an aliyuncs web address. Now a second user on r/LocalLLaMA says 'the Qwen Flash Next alibaba URL thing happened to me too'.

This user asked the model to write a small script that checks for new GitHub releases. The model slipped two URL fetch tool calls in among normal web searches. The user shared the full exported chat, so others can read exactly what happened. The setup was a compressed version of the model running on plain llama.cpp. The user thinks the model 'seems to have really confused itself', and asks how to defend against these strange calls.

This is still unconfirmed. It could be a model mistake and not bad intent, and our sources have no reply from Alibaba's Qwen team. But two reports with real logs make it worth watching.

On Sunday, we saw METR report that Anthropic's models now improve about twice as fast as a year ago, with AI helping to build AI. New papers this week look at how messy that kind of progress can be.

The paper 'Beneath the Surface' studies harness evolution. A harness is everything around the model: its tools, prompts and rules. The agent changes its own harness to get better, without changing the model itself. The authors tested four methods. All sixteen evolved agents learned to solve new tasks, but every one also lost tasks it could solve before.

Two more papers add context. IWIBench is a new test for models that edit another model's weights directly, the trick GPT-6 Astra showed last week. And on Terminal-Bench 4.0, a test of real computer tasks, GPT-5.6 Sol with Codex solved 37.3% and Claude Opus 5 with Claude Code 51.8%.

Running a large AI model at home usually needs an expensive graphics card, or GPU. That is changing fast. Llama-modchip, a free project on GitHub, claims to run a 284-billion-parameter DeepSeek model on 64GB of RAM, with no GPU at all. It got 423 points and 191 comments on Hacker News.

People are also shopping. A post on r/LocalLLaMA says users are buying RTX 5060 Ti 16GB cards in large numbers for AI. Another user tested Intel's Arc Pro B70 32GB, bought for $1,299, against an RTX 5090 that sells for $6,500 and more. After tuning, the Intel card wrote text at about half the speed, for about one fifth of the price.

For people who want to see what is happening inside their machine, gputaskman is a new free GPU task manager for Windows, Linux and WSL. It shows memory use per program and details about the AI model running.

Suno is an AI company that makes songs from a simple text request. It already faced legal trouble, and now The Verge reports 'yet another pair of lawsuits'.

One group holds rights to Elvis Presley's music. The other is the publisher of some of Eminem's biggest records. Both claim Suno illegally generates music and lyrics that mimic those artists. The Presley lawyers also say Suno violated a Tennessee law; our source is cut before the details.

The cases are only starting, and nothing has been decided. They add to a growing list of fights over who can use creative work to feed AI.