
Anglo-Swiss. My blog is still alive. @stephtara@indieweb.social when this ship is done sinking. ADHD, cats, judo, sailing, people, communities. Unfacebooked...
Lausanne, Switzerland
Joined December 2006
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I also see a use-case in making the stuff AI writes "for you to read" less dreadfully painful to drag yourself through.
I’m sick of reading AI slop, so today I’m open-sourcing my /no-ai-slop skill that removes 20+ slop patterns from any piece of writing.
📌 Get the free skill here: github.com/petergyang/no-ai-…
If you find it useful, please consider starring the repo so more people can find it.
Why I built the skill:
I use AI to edit my writing because it helps me fix spelling, grammar, and clarity.
But even the best models keep producing the same slop that this skill removes:
→ Binary contrasts: “It’s not X. It’s Y.”
→ Throat-clearing openers: “Here’s what nobody tells you.”
→ Fake-profound endings: “The future isn’t coming. It’s already here.”
Use this skill responsibly.
I always write a first draft manually before iterating with AI on edits and I make sure to do another manual pass at the end as well.
That’s in contrast to using AI to automate pumping out slop end-to-end.
📌 Read my full post for more on how I try to use AI responsibly to edit without giving into the dark side: creatoreconomy.so/p/use-my-n…
I've been saying this for something like eight months now, with varying approaches and volume levels, and no one is paying attention yet.
This is either because I am way early or my idea isn't one third as good as I think it is. :)
But here it goes again:
I think we will soon figure out that the entire game for AI is articulation of ideal state.
And that all of our conversations about specs, and plans, and loops, and PRDs and so many other things that have been talked about in software engineering and harness engineering for the last six months...all converge on this same idea.
I think the way it will be articulated is in the form of a single artifact that captures, enhances, iterates on, climbs toward, builds, and tests the ideal state.
One document that replaces all these loops and specs and PRDs and plan files and design files, et cetera.
My current implementation of this is the ideal state articulation (ISA) system.
It turns prompt engineering into intent engineering, in the sense that it abandons telling the AI how to do things and replaces that with telling it exactly what you want the output to be.
@karpathy had a recent post where you talked about going on a walk and just talking freely through a bunch of ideas related to what you're trying to accomplish. to me, that is 100% on point and 100% part of this ideal state articulation.
We also had this recent open AI hack where a goal was given and a goal was presumably achieved. Similar to a paperclip maximizer.
And in both cases, the problem is that we conveyed a goal without conveying ideal state. Which, if properly articulated, would have included lots of paperclips but humanity still existing or getting the top grade on the test, but without building new exploits and hacking companies.
The problem is always in the guessing. It's in the gap between stated and implicit. Or stated and difficult to articulate.
That's why I see the whole entire game as this articulation of what we want.
This is what prompt engineering always has been. But it got muddled up with earlier models that weren't very smart, so we had to combine the intent engineering with step-by-step instructions.
I think it's time to cut through that now and isolate this central idea.
An extraordinary amount of our problems, really across anything but especially when working with others and building things with AI, is assuming that the receiver has the same idea in their mind as the one in ours.
And that's why I'm proposing this approach for addressing that issue directly.
Let's get extremely good at articulating the ideal state for what we have asked for.
Really nailing this does so many things for us simultaneously. It not only helps the receiving system build what we actually want with a lot less gap between our mind and its mind, but after it's built, it also becomes the testing harness as well as the heart of the documentation.
It's a single system for general hill-climbing, toward anything.
docs.ourlifeos.ai/Isa__IsaSy…
Spent the better part of the day (post-festival, brain = mush) writing a blog post following a few lines read on @DanielMiessler's blog (thanks!) climbtothestars.org/archives…
Ok this is just registering for me that this is the government demanding that Anthropic not allow Foreign Nationals to use Fable.
So they’re not saying the model is generally too dangerous; they’re saying it’s too good for Foreign Nationals to have access.
And since Anthropic can’t instantly do that, even if they wanted to, they had to disable access for everyone for now.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: anthropic.com/news/fable-myt…
Good morning. We have a new episode. Frederick J. Brown. open.spotify.com/episode/4p9…
Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models.
Aaron Swartz downloaded 70 GBs of articles from JSTOR (0.0875% of Meta) in 2010. Faced $1 million in fine and 35 years in jail. Took his own life in 2013.

ALT "Last month, Meta admitted to torrenting a controversial large dataset known as LibGen, which includes tens of millions of pirated books. But details around the torrenting were murky until yesterday, when Meta's unredacted emails were made public for the first time. The new evidence showed that Meta torrented "at least 81.7 terabytes of data across multiple shadow libraries through the site Anna’s Archive, including at least 35.7 terabytes of data from Z-Library and LibGen," the authors' court filing said. And "Meta also previously torrented 80.6 terabytes of data from LibGen.""
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
I got started on a series of essay-like blog posts about where we should try to go with the open web (ie, amongst other things, the blogosphere), to free ourselves from the facebooks of this world. Utopia? Maybe, but it doesn't hurt to try.
climbtothestars.org/archives…
Rebooting The Blogosphere (Part 1: Activities) – Climb to the Stars climbtothestars.org/archives…
11 days since my Facebook account was wrongfully suspended. Thanks for sharing! climbtothestars.org/archives…
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🇵🇸 « Nous journalistes à Gaza, sommes des condamnés à mort » explique le journaliste Rami Abu Jamous à Alice Froussard. Depuis le 7 octobre 2023, l'armée israélienne a tué au moins 242 journalistes palestiniens selon le Haut-Commissariat des Nations unies aux droits de l'Homme.
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As cybercrime surges around the world, new research increasingly shows that ransomware is evolving as a result of widely available generative AI tools. wired.com/story/the-era-of-a…
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Some operatives from the Department of Government Efficiency (DOGE) are joining Airbnb cofounder and DOGE member Joe Gebbia’s new National Design Studio, sources tell WIRED.
"My directive is to update today’s government services to be as satisfying to use as the Apple Store"
wired.com/story/doge-operati…
Thanks in advance for sharing this in your networks. My hopes are that some way or another, my appeal will be reviewed by a human. If you know anybody I should speak to, or can think of anything useful to do at this stage, do let me know.
climbtothestars.org/archives…














