AI

Rare survey of AI experts exposes deep divide with public opinion.

Meta pirated millions of books to train its AI. Search through them here.

Researchers find that the more people use AI at their job, the less critical thinking they use.

Mikael Brunila argues for a politics of opacity in the face of AI dominance.

S&P Global Market Intelligence ran a survey last month, “Voice of the Enterprise: AI & Machine Learning, Use Cases 2025.” They spoke to 1,006 businesses in Europe and North America. [Teleco…

Tromssan kunnan kouluverkkoselvityksestä on kehkeytynyt tekoälysoppa, joka puhuttaa läpi valtakunnan.

Hayao Miyasaki is the co-founder of Studio Ghibli, a Japanese animation studio known worldwide for their stunning, emotional, beautiful stories and movies. At the core of Studio Ghibli’s work is a deep engagement with questions of humanity. About what it means to be a human, about how to care for one another and the world […]

If I reduced my existence to a series of ChatGPT prompts, the act of my living is only shorter – not better

I compiled a short list of anti-AI tools. If you know of others, please add them Anti-AI tools Glaze https://glaze.cs.uchicago.edu Glaze is a system designed to protect human artists by disrupting style mimicry. At a high level, Glaze works by understanding the AI models that are training on human art, and using machine learning algorithms, computing a set of minimal changes to artworks, such that it appears unchanged to human eyes, but appears to AI models like a dramatically different art style. Nightshade https://nightshade.cs.uchicago.edu/ Nightshade, a tool that turns any image into a data sample that is unsuitable for model training HarmonyCloak https://mosis.eecs.utk.edu/harmonycloak.html HarmonyCloak is designed to protect musicians from the unauthorized exploitation of their work by generative AI models. At its core, HarmonyCloak functions by introducing imperceptible, error-minimizing noise into musical compositions. Kudurru https://kudurru.ai Actively block AI scrapers from your website with Spawning's defense network Nepenthes https://zadzmo.org/code/nepenthes/ This is a tarpit intended to catch web crawlers. Specifically, it's targetting crawlers that scrape data for LLMs - but really, like the plants it is named after, it'll eat just about anything that finds it's way inside. AI Labyrinth https://blog.cloudflare.com/ai-labyrinth/ Today, we’re excited to announce AI Labyrinth, a new mitigation approach that uses AI-generated content to slow down, confuse, and waste the resources of AI Crawlers and other bots that don’t respect “no crawl” directives. More tools, suggested by comments on this posts: Anubis https://xeiaso.net/blog/2025/anubis/ Anubis is a reverse proxy that requires browsers and bots to solve a proof-of-work challenge before they can access your site. Iocaine https://iocaine.madhouse-project.org The goal of iocaine is to generate a stable, infinite maze of garbage. #NoToAI #AI

For one, there’s just nothing interesting about Studio Ghibli remakes or copping an illustrators style, because mechanized reproduction of human creativity is inevitably hollow. But we can exploit AI in different ways, train it differently, get inside of the pipeline rather than typing at a single window.

New research has revealed why AI-generated food images can make people uneasy and uncomfortable compared to real photos of food.

We surveyed 730 coders and developers about how (and how often) they use AI chatbots on the job. The results amazed and disturbed us.

A test of artificial intelligence (AI) for Australia's corporate regulator ASIC found it was worse at summarising info than humans were.

PDF | The rapid development of artificial intelligence (AI) and its integration into various aspects of society necessitate inquiry into its educational... | Find, read and cite all the research you need on ResearchGate

Implications draw on the history of transformative information systems from the past

It's embarrassing, destructive, and looks like shit: AI-generated art is the perfect aesthetic form for the far right.

#PlatformRealism, as I define it in this essay, is a second-order aesthetic of generic images optimized to match textual descriptions, consumer expectations, and, ultimately, images from the past. This definition thus points to three aspects that I have explored in this essay: First, AI images, not unlike stock photos, are visualizations of pre-formulated concepts, images aligned with slogans. Second, the look of AI images is aligned with the predictable aesthetic expectations of a very specific demographic - predominantly white, young, male, and Western. Their reactions to the images are quantified, aggregated, and analyzed, resulting in a recursive algorithmization of taste. Third and finally, #genAI can be seen as a kind of backward prediction: Based on visual patterns from the past, it makes plausible guesses about what might have been. So #PlatformRealism is structurally nostalgic. It is a technology for curating the vibes of a «pastness» disconnected from history. 2/

JD Vance's AI saber-rattling, DOGE's gutting of the government, and Silicon Valley's thirst for growth show how AI has become a tool for consolidating power.

The Manifesto on "Algorithmic Sabotage" [1] is a text that provides a set of principles and techniques for combating and undermining the influence and impact of harmful algorithms on society. The manifesto is organised into ten propositions that address various areas of algorithmic sabotage. These arguments range from arguing for a sort of counter-power based on community strength to emphasising the value of solidarity and mutual aid over individual profit. It also emphasises the importance of challenging the capitalist ideology that lives on human misery by committing acts of subversion against modern forms of algorithmic tyranny. The manifesto encourages people to take action against harmful or oppressive algorithms, rather than passively accepting them. This can include taking direct action, such as disrupting or disabling these algorithms, as well as more indirect measures, such as raising awareness and educating others about the issues. The review of the Manifesto on "Algorithmic Sabotage" by Dwayne Monroe [2] is worth reading. 1. https://algorithmic-sabotage.github.io/asrg/manifesto-on-algorithmic_sabotage/ 2. https://monroelab.com/2024/04/02/manifesto-on-algorithmic-sabotage-a-review/ #AlgorithmicSabotage #AI #Algorithm #Algorithms

"The most powerful new data center GPUs for AI workloads can consume as much as 700 watts apiece. With a 61% annual utilization, that would account for about 3,740,520 Wh or 3.74 MWh per year per GPU, fueling concerns about the availability of power and environmental impacts" Millions of these chips are being sold every year. https://www.tomshardware.com/desktops/servers/a-single-modern-ai-gpu-consumes-up-to-37-mwh-of-power-per-year-gpus-sold-last-year-alone-consume-more-power-than-13-million-households

Teaching AI a lesson

Generative AI is AI produced to learn patterns from data, which can also be used to create patterns similar to those in data. ChatGPT and mi...

Studies are flying thick and fast this year revealing the horrendous problems and side-effects of Generative AI tools unleashed on an unsuspecting public by Big Tech companies lacking a modicum of moral fortitude, but this one really knocks it out of the park:

We need new security systems designed to deal with their weirdness

Recent research projects AI data centers’ public-health harms.

@mmin@mastodontti.fi Varmaan on tarpeen erotella, mutta taitaa pelkkä käyttökin hotkia aika lailla: https://www.tomsguide.com/ai/chatgpt-energy-emergency-heres-how-much-electricity-openai-and-others-are-sucking-up-per-week. Tarkempaa analyysia löytyy helposti tekoälyttömälläkin haulla ja esim. ilmastoon tms. sektoriin painottaen. Tässä yksi teknisempi The Vergeltä, https://www.theverge.com/24066646/ai-electricity-energy-watts-generative-consumption

Any statement regarding the potential benefits and/or hazards of AI tends to be automatically very divisive and controversial as the world tries to figure out what the technology means to them, and…

Here are the messages to push back on

Recent advancements in generative Artificial Intelligence (GenAI) were accompanied by both hype and fear regarding the ways in which such technologies of automation would replace human labor in var...

Liitetty: 1 kuva In the big picture, I guess this (data, LLMs, AI models, etc.) is potentially a new reconfiguration of the (digital economy) where some win (spectacularly) and others lose (jobs are gone or become meaningless, human creativity can be harvested, etc.). This very simple figure from my PhD clarifies the negotiation on the rules of the new situation 😉 (I don't have time to explain it, unfortunately; this was back when I was still a PhD candidate and thought I knew everything...)