Abstract page for arXiv paper 2506.08872: Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

Least surprising thing ever. I do hope this makes it back to court hearings. I don’t really have an issue with LLMs in concept, but in practice these companies are really abhorrent.

Here’s to hoping!

Tons of great anti-llm evidence here

The generative AI industry is killing open source and open access

ChatGPT “power users,” or those who use it the most, are becoming dependent upon — or even addicted to — the chatbot. 

this puts even state-of-the-art current AI systems in a position where professional responsibility dictates the avoidance of them in any serious application.

Still, I have reservations about AI in radiology, particularly when it comes to education. One of the main promises of AI is that it will handle the “easy” scans, freeing radiologists to concentrate on the “harder” stuff. I bristle at this forecast, since the “easy” cases are only so after we read thousands of them during our training—and for me they’re still not so easy! The only reason my mentors are able to interpret more advanced imaging is that they have an immense grounding in these fundamentals.

Research from The Upwork Research Institute reveals that while leaders expect AI to boost productivity, it may be increasing employee workload.

Companies may unintentionally hurt their sales by including the words “artificial intelligence” when describing their offerings that use the technology, according to a study led by WSU researchers.

The tech giants both report surges in greenhouse gas emissions as they double-down on adding artificial intelligence to all of their products.

Four ginever glasses with different flavors of liqueur sit on a mirrored table at Distilleerderij’t Nieuwe Diep in Fevopark, Amsterdam. Only one manufacturer makes these traditional glasses, and it’s closing. The distillery has stockpiled thousands of the glasses, intent on serving the drink in its original glassware long after that glassware becomes unavailable. This is…

Individually, none of these blobs have agency; but collectively, they reflect what the model has inferred about human diversity in our culture. And that means they have power.

A new study finds that large language models used widely for medical assessments cannot back up claims.

In January, just days after Microsoft announced plans to lay off 10,000 employees as part of broader cost-cutting measures, the company also confirmed it was making a “multibillion dollar” investment into OpenAI.

Pressure grows on artificial intelligence firms over the content used to train their products

Via: https://a11y.info/@ben/111562480627100685

• Image generation with powerful models chews through a smartphone charge’s worth for each image • Text generation is considerably less expensive, but the indiscriminate deployment of text gen everywhere, such as in search results, means this’ll add up, too • General-purpose models are way more expensive than purpose-made models

“…everybody thinks everyone else’s job is easy. That’s why “AI” is going to replace so many people.”

The fundamental task of software development is not writing out the syntax that will execute a program. The task is to build a mental model of that complex system, make sense of it, and manage it over time.