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Hacker News: Best

Dubai police arrest airline worker after accessing private WhatsApp group madhadron - The seven programming ur-languages GitHub - smol-machines/smolvm: Tool to build & run portable, lightweight, self-contained virtual machines. I Measured Claude 4.7's New Tokenizer. Here's What It Costs You. Introducing Claude Design by Anthropic Labs It Is Time to Ban the Sale of Precise Geolocation The creative software industry has declared war on Adobe Isaac Asimov: The Last Question Newly unsealed records reveal Amazon’s price-fixing tactics, California attorney general claims Clojure - Documentary Android CLI and skills: Build Android apps 3x faster using any agent Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 Codex:全能型助手 Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? Virginia Bans Sale of Geolocation Data YouTube now lets you turn off Shorts Burgers | マクドナルド公式 ChatGPT for Excel Ask HN: Who is using OpenClaw? Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Open Source Isn't Dead. The Future of Everything is Lies, I Guess: New Jobs Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests IPv6 – Google Your Backpack Got Worse On Purpose Good sleep, good learning, good life Fixing a 20-year-old bug in Enlightenment E16.
Claude mixes up who said what, and that's not OK
2026-04-09 · via Hacker News: Best

The bug

Claude sometimes sends messages to itself and then thinks those messages came from the user. This is the worst bug I’ve seen from an LLM provider, but people always misunderstand what’s happening and blame LLMs, hallucinations, or lack of permission boundaries. Those are related issues, but this ‘who said what’ bug is categorically distinct.

I wrote about this in detail in The worst bug I’ve seen so far in Claude Code, where I showed two examples of Claude giving itself instructions and then believing those instructions came from me.

Screenshot from my previous article showing Claude attributing its own message to the user

Claude told itself my typos were intentional and deployed anyway, then insisted I was the one who said it.

It’s not just me

Here’s a Reddit thread where Claude said “Tear down the H100 too”, and then claimed that the user had given that instruction.

Screenshot from Reddit showing Claude claiming the user told it to tear down an H100

From r/Anthropic — Claude gives itself a destructive instruction and blames the user.

“You shouldn’t give it that much access”

Comments on my previous post were things like “It should help you use more discipline in your DevOps.” And on the Reddit thread, many in the class of “don’t give it nearly this much access to a production environment, especially if there’s data you want to keep.”

This isn’t the point. Yes, of course AI has risks and can behave unpredictably, but after using it for months you get a ‘feel’ for what kind of mistakes it makes, when to watch it more closely, when to give it more permissions or a longer leash.

This class of bug seems to be in the harness, not in the model itself. It’s somehow labelling internal reasoning messages as coming from the user, which is why the model is so confident that “No, you said that.”

Before, I thought it was a temporary thing — I saw it a few times in a single day, and then not again for months. But either they have a regression or it was a coincidence and it just pops up every so often, and people only notice when it gives itself permission to do something bad.

Update

This article reached #1 on Hacker News, and it seems that this is definitely a widespread issue. Here’s another super clear example shared by nathell (full transcript).

Screenshot showing another instance of Claude mixing up who said what

From nathell — Claude asks itself “Shall I commit this progress?” and treats it as user approval.

Several people questioned whether this is actually a harness bug like I assumed, as people have reported similar issues using other interfaces and models, including chatgpt.com. One pattern does seem to be that it happens in the so-called “Dumb Zone” once a conversation starts approaching the limits of the context window.