ai
Getting the whole argument just right is fiddly, but the basic idea is this. You feed some kind of theory into the AM/AS, which is a black box. It churns on this and spits out a result, which is added to the theory (I'm neglecting the case that the result is inconsistent with the theory). It can now churn on theory + result 1. For any given and potentially very large N, after doing this long enough, it's churning on theory + result 1 + result 2 + ... + result N. Whatever it spits out will be dependent in particular on results 1 - N. When N is large enough, unless you know these results you will not be able to understand what it outputs because the output will almost surely depend critically on one or more of results 1 - N. In other words, the output will look like noise to you. If the AM/AS is appreciably faster at producing results than people are at understanding them, there will be an N beyond which no one can understand the output up to that point. It'll become indistinguishable (unable to be distinguished) from random noise.
If you're into software development, this would be analogous to a software system that generates syntactically-correct code and then adds that code as a new call in a growing software library. If you were to run this long enough, virtually all the programs it generated that were short enough for human beings to have any hope of reading and understanding would consist almost entirely of library calls to code generated by the system. You'd have no idea what any of this code did unless you studied the library calls, which you wouldn't be able to do beyond a certain scale. If the system were expanding the library faster than you could read and understand it, there'd be no hope at all.
I'll leave it as an exercise to the reader whether this is a desirable thing to do and whether it's happened yet. I would offer, though, a question to ponder: what reason is there to believe that a random number generator hooked up to an inscrutable interpreter produces human flourishing, for any given meaning of "human flourishing" you care to use?
#tech #dev #mathematics #AutomatedMathematician #AutomatedScientist #AI #GenAI #GenerativeAI #ThoughtExperiment
Generative AI is a machine which immediately eats any human creativity we might dare come up with, so that it can be sold back to us by tech oligarchs.
There is no "responsible" use of this. It is an enclosure of knowledge and a massive power grab. One of the most disgusting uses of technology outside of warfare (but it's used there too!). If you feel like it's helping you write code or whatever... in the end, it really isn't. It's helping the tech oligarchs monopolize OSS. 1/3
Google está pidiendo a gritos que los usuarios ingresen fotos de sus letras manuscritas a GEMINI, su sistema de IA generativa ⚠️ ¿Qué podría salir mal? 🤦
Just a kindly reminder: Google tiene acuerdos con Palantir y con el Departamento de Defensa de EE.UU. 🙄
#AI #genAI #generativeAI #Google #Gemini #tech #technology #IA #IAgenerativa #data #privacy #dataprotection
"For anti-data center activists there will be victories and losses but a coalition is taking shape, one that cuts across party lines and has people engaging with politics on a local level in a way that hasn’t been seen in decades."
https://www.404media.co/an-incomplete-list-of-successful-anti-data-center-legislation/
While hoping and waiting for the bubble to pop, I have started writing about the planet-burning brain asbestos of our times, starting with issues related to sovereignty, independence and dependency on unsavory companies.
https://blog.mathieui.net/ai-and-sovereignty.html
This is a split from a mega-post that I have started writing more than a year ago and that I can’t seem to finish ever, so apologies if it does not reach a real conclusion on its own 🫠.
#ai #blog #blogging
This:
In the year of the city 2274, the remnants of human civilization live in a sealed city beneath a cluster of geodesic domes, a utopia run by computer. The citizens live a hedonistic lifestyle, but when they turn 30 must enter the "Carrousel", a public ritual that destroys their bodies, under the pretense they would be "Renewed" or reborn.
and this:
In the year of the city 2274, the colony of human beings on Mars live in a sealed city beneath a cluster of geodesic domes, a utopia run by generative AI. The citizens live a hedonistic lifestyle, but when they turn 30 must enter the "Cloud", a public ritual that destroys their bodies, under the pretense their consciousness would be uploaded to a computer and live forever.
#lispyGopherClimate #live #technology #podcast hosted by @ramin_hal9001 https://tilde.town/~ramin_hal9001/articles/ai-cannot-live-up-to-the-hype.html this week!
https://communitymedia.video/w/sBNPeWFJ7NuDVCjkAv7fkX
My guess as to the topic from the main show toot which is
https://fe.disroot.org/objects/88f34eba-ccaf-407e-8505-8a2a3bd1613b <- visit
@kentpitman 's poem
Repudiating the #ai #llm hype!
And #environmental damage #climate
#commonLisp #lisp #typeTheory #coalton common lisp static typing DSL https://coalton-lang.github.io/ ,
#ELS 2025 talk by Robert Smith. Robert emailed a note.
As someone who now has a feedforward neural network of a single hidden layer implementation (in #commonLisp) I learned a lot about what has a spot to be stuck into the algorithm.
https://screwlisp.small-web.org/fundamental/sharpsign-sharpsign-input-referential-ffnn-dl-data/
Something that turns out to be easy to stick in is making training data which copies data out of the current context or even to simply point the training data definition into the #deepLearning inference input context though I did not prove convergence for the latter case.
RE: https://techhub.social/@LinuxToday/117189864149686958
I never thought leopards would eat MY face!
Good AI research should tell us something about life, or it should help people. I hate seeing research about automating what people do. It's not a good goal for science or society! I was recently reminded of this by a paper applying LLMs to math.
This domain has many good questions: what do we mean when we say a person "solves math problems"? What are they actually doing? How is this like or not like what an LLM does? How might mathematicians benefit from this?
Instead, we get papers that pit an LLM against a human on a math problems dataset. This is great for claiming "AI has superhuman math abilities now!", but it's debatable whether good answers in a test-taking environment have anything to do with logic, reasoning, or creative problem solving. Instead of exploring to what extent LLMs are "really intelligent" vs. "stochastic parrots" (and perhaps the same question for humans), it reduces everything down to a number, one that hides the deeper problem and seems far more definitive than it is.
#ai #llm
who make the 
I hate OpenAI but I had to use Whisper to help someone make accessible content. I hate that I had to use Whisper to do it because it comes from OpenAI.
But I don't know of any other way to get a text transcription from a media file that is free/open. (Besides doing it manually.)
I tell myself because it's for education and accessibility it's okay, but I still don't like it.
RE: https://mastodon.social/@Viss/117187107859622179
"TL;DR
Four minutes is how long it took for a machine inside a Fortune 500 company to execute code we published. Two more within the hour. We didn’t exploit a CVE, phish an employee, or touch a perimeter. We registered destinations that official, HTTPS-served files — published by the companies themselves — were already telling AI agents to use."
From what I can gather, it's a free-for-all now, with AI opening up all the doors. Our Data has never been in more risk
We present the first representative international data on firm-level AI use. We survey almost 6000 CFOs, CEOs and executives from stratified firm samples across the US, UK, Germany and Australia. We find four key facts. First, around 70% of firms actively use AI, particularly younger, more productive firms. Second, while over two thirds of top executives regularly use AI, their average use is only 1.5 hours a week, with one quarter reporting no AI use. Third, firms report little impact of AI over the last 3 years, with over 80% of firms reporting no impact on either employment or productivity. Fourth, firms predict sizable impacts over the next 3 years, forecasting AI will boost productivity by 1.4%, increase output by 0.8% and cut employment by 0.7%. We also survey individual employees who predict a 0.5% increase in employment in the next 3 years as a result of AI. This contrast implies a sizable gap in expectations, with senior executives predicting reductions in employment from AI and employees predicting net job creation.
#AI #GenAI #GenerativeAI #economy
#AI #GenAI #GenerativeAI #demoscene #failscene
From https://www.reuters.com/business/openclaw-founder-steinberger-joins-openai-open-source-bot-becomes-foundation-2026-02-15/
Everything I've read about OpenClaw suggests it's the NFT of AI. These folks need the fiction that AI is approaching "consciousness", or at least "agency", to continue.
#AI #GenAI #GenerativeAI #LLM #AgenticAI #VibeCoding #OpenAI #OpenClaw
Your organization has configured managed settings that could allow execution of arbitrary code or interception of your prompts and responses.
#ai
Godot Engine suffering from lots of "AI slop" code submissions https://www.gamingonlinux.com/2026/02/godot-engine-suffering-from-lots-of-ai-slop-code-submissions/
Judge Carolyn B. Kuhl at today's hearing over social media’s alleged harms to children:
"If your glasses are recording, you must take them off. It is the order of this court that there must be no facial recognition of the jury. If you have done that, you must delete it. This is very serious."
https://www.latimes.com/california/story/2026-02-18/mark-zuckerberg-tesimony-la-social-media-trial
#news #USNews #technology #TechNews #meta #SocialMedia #MetaGlasses #AI
"Many people did not want this in their neighborhood. We don't want these kinds of centers that's going to take resources from the community."
#news #USNews #TechNews #technology #NewJersey #NJ #DataCenter #AI