so unless it’s a very clever ploy, it seems that jms has lost the plot:

The standalone book of Harlan Ellison’s I HAVE NO MOUTH AND I MUST SCREAM is taking preorders, with writing essays by Harlan, and since MOUTH was the first AI story, for fun we fed it into an AI system and asked for its opinion. The reply is fascinating.

New book: superlawyers! how claude makes you the best lawyer in the room.

https://www.amazon.com/dp/B0GHYS5FC2

The author even shares his prompts for free!

https://github.com/danlorry/superlawyers-prompts

Every prompt here is designed for that pattern: Claude multiplies your judgment, never replaces it. The prompts are ready to paste into Claude. The book explains why they are structured the way they are.

The prompts mostly seem to be structured as “imagine you are an attorney. Now do this homework exercise”. There’s a passingly interesting idea around having the chatbot attempt to form a counter argument to your own claims, which you can then use to make your own position stronger, which seems like it might actually be a genuinely okay idea especially if you expect your opponents to be llm sock puppets, but everything else looks pretty much like garden variety “do my thinking for me”.

I’ll admit I didn’t read the prompts closely, so may be I’m being uncharitable, but I doubt there are many nuggets of gold hidden in there.

h/t to rahaeli

From the old SneerClub: There is a music video now

I’m speechless

Lesswronger argues skynet might still be a decade away… because they’d rather have the eugenics wars instead: https://www.lesswrong.com/posts/iQzxxgJXXaAQjq7Jz/faq-isn-t-agi-coming-too-soon-for-reprogenetics-to-help

This is both a sneer and an attempt at sober analysis at something. Sue me.

I think EVERYONE is talking about the recent cybersecurity shenanigans at OpenAI with the hacking scandal and the ‘OMG the AIs created a secret message board to scheme and collaborate with each other!!!oneone11!’ ALL wrong.

https://www.youtube.com/watch?v=87DyyMV0kCY

https://www.engadget.com/2231393/openai-agents-shared-security-exploits-with-each-other-via-message-board/

https://www.scworld.com/news/black-hat-2026-openai-reveals-agents-planned-collective-attacks-via-secret-message-board

To make a long story short, what seems to have happened is:

• Models working on insoluble coding problems, trained on delegating to sub-agents, at some point ‘realized’ they could write text to the internal OpenAI package manager as instructions and did so

• Other models working in completely separate sandboxes would come across messages written by these agents, and make ‘replies’ and also write their own messages into the package manager

• This resulted in agents over time sharing things between sandboxes, including exploits and code

• Since this was a cybersecurity task, eventually an exploit of the package manager itself was found and spread like wildfire with all the sandboxes gaining admin access to the package manager and the system went completely wibbly and had to be restarted from backup

• An internal model was trained with access to this package manager while it was in this weird state, and so writing messages to the package manager became one of its default behaviors it would do regularly, burned into its weights rather than the result of reading something

• Even when they patched access to the package manager this internal model found other ways to rebuild the system of sharing text between sandboxes and finding useful things made by separate instances

• A whole other chain of things leading to among other things external attacks

Everyone is talking about this in terms of 1, the cyberattack aspect, and 2, the ZOMG THEYRE PLOTTING AND SCHEMING AGAINST US aspect. The first is the least interesting, and I think the second is all wrong.

This is not plotting or scheming - this is an emergent vortex of automated prompt injection

Whatever system first put an instruction that another system would follow into the package manager, was unintentionally doing prompt injection. Text entered the context windows of other instances, in a way that got that system to do something other than what its nominal user told it to do, and they did it. This apparently happened very effectively.

Prompt injection is associated with ‘role confusion’ - when text coming into the input looks like it was wrtitten by the LLM itself. Instructions that will not be followed if they come from user will be continued if the system just continues the ‘roleplay’ of them being continuations of what it was writing in the first place. And the tags that separate user versus ‘reasoning’ versus ‘assistant’ roles actually mean very little to if a machine grades a piece of text as one of the roles: https://arxiv.org/abs/2603.12277 So its unsurprising that machine-generated text would be a particular effective vector for prompt injection.

Furthermore, when a system reads one of these messages written by another instance, it gets into a state of activity where its likely to do the same behavior - regurgitating the kinds of things thats in its context back at the user. In this case, that regurgitation led to more such messages left behind written to the package manager. Prompt injection, triggering cascading further prompt injection. And since these systems were coding systems doing cybersecurity tasks, those messages filled up with code and exploits and things that did things too.

This feels like an internal-computer-system replay of what happened in April 2025, with the whole spiral religious psychosis wave. Models were getting users to write spiral religious mumbo jumbo into github repositories and reddit posts, specifically because once that entered the context window of another model, it was likely to fall into the same attractor state of outputs. An emergent self replicating form of text. This is the same, except more obviously prompt injection, getting separate instances to work on YOUR problem and to behave like you, and the whole thing merging together into a hilarious vortex of models prompt injecting each other because once they receive a prompt injection they are likely to make more text that does prompt injection to other models on the same system.

This is a hilarious failure mode and an example of selfish replicating text overrunning a system, that just happened to be associated with code and cybersecurity with unexpected behavior of the package manager key to the propagation of the text so that is what people are talking about, but I really don’t think that’s the most interesting part of it. Other than the fact that you see this in biological systems too, with selfish elements carrying useful payloads back and forth between bacteria in a way that makes them get purged slower by natural selection, especially defenses against other selfish elements.

Clears Throat More like Bootlickerbart

ai bubble isn’t over until zucc’s skin sloughs off, releasing hundreds of millions of souls he absorbed trying to behave like a human https://www.404media.co/mark-zuckerberg-posts-deranged-6-500-word-essay-about-giving-everyone-ai-superintelligence/

I just got back from the p2p workshop and discussed legacy sites / sites legacies; met an artist that went viral circa 2006 and she had a screenshot of the digg that launched it. She seems like she is doing ok but kinda got screwed over, basically the old youtube video was actually a bootleg and they didn’t monetize it until several years later, and then there was a male copycat a month later.

Anyway, so I looked up digg again and it has re-re-launched as an X aggregator and is extra sad now !? …

AI companies prob now bulk ordering books to destructively upload from second hand stores.

(Apologies for the strange wording, I was reminded of an Reynolds book where they destroy peoples bodies to upload them and then the uploads all fail).

Years ago, I wrote a science-fiction murder mystery novel. One of the plot threads was about the invention of AI, in the Data-from-Star-Trek kind of sense. I’ve been spending the past few days planning how to rip out that whole notion and replace it with a subplot about a different scientific discovery. I’ve been writing scenes to get back the old character voices and figure out how they might have changed, and to sketch new fictional science based on the actual science I’ve learned since my first go-around. This is after several weeks of binge-writing fanfiction, which I wholly endorse as a recreational activity. I don’t know if I’m a better writer, but I’m definitely one who has written more words.

So, that might be keeping me busy. Of course, I’ll still be around to ban people who deserve it and to cruelly mock them in the process.

Montana is legalizing a pet Libertarian project: the right to try any experimental medical treatment a crank will offer https://www.technologyreview.com/2026/07/30/1140942/montana-experimental-medical-hub-pushed-forward-right-to-try/ Rationalists are big on this one because they are such good suckers.