AI is intellectual Viagra
#AI #GenAI #GenerativeAI #LLMs #DiffusionModels #tech #dev #coding #software #SoftwareDevelopment #writing #art #VisualArt
AI is intellectual Viagra
This is an excellent video. This is the message. Perhaps we need to refine it more. Find ways to communicate it more clearly. But this is the correct take on LLMs, so-called-AI and the proliferation of these tools to the general public. #LLM #llms #ai #genAI #video #slop #slopocalypse #enshittification
Congratulations to @WIRED for catching their AI-written article, retracting it, and publishing a candid 𝘮𝘦𝘢 𝘤𝘶𝘭𝘱𝘢."
https://www.wired.com/story/how-wired-got-rolled-by-an-ai-freelancer/
Have any academic journals done that?
"When generative AI and large language models (LLMs) work, or appear to work, using them truly feels like magic. They can be very empowering, especially when used as an accessibility tool.
But they are also an unreliable technology built on exploitation of workers, particularly from third world countries, and our environment. Its frequent use may lead to cognitive decline and a loss of skills, and can actually decrease productivity."
Recently, I spent a lot of time reading & writing about LLM benchmark construct validity for a forthcoming article. I also interviewed LLM researchers in academia & industry. The piece is more descriptive than interpretive, but if I’d had the freedom to take it where I wanted it to go, I would’ve addressed the possibility that mental capabilities (like those that benchmarks test for) are never completely innate; they’re always a function of the tests we use to measure them ...
(1/2)
"This is just such a low tech, simple intervention, and can make people feel significantly less lonely."
https://www.404media.co/chatgpt-loneliness-study-college-students-random-strangers-texting/
> For example, Google reduced our headline “I used the ‘cheat on everything’ AI tool and it didn’t help me cheat on anything” to just five words: “‘Cheat on everything’ AI tool.” It almost sounds like we’re endorsing a product we do not recommend at all.
#news #TechNews #technology #google #search #AI #LLMs #enshittification
"LinkedIn, a social network awash with long AI-generated posts from executives and other corporate workers, has introduced a new button that users can click to flag if a post “seems like AI slop,” according to [@404mediaco's] own tests."
https://www.404media.co/linkedin-introduces-a-seems-like-ai-slop-button/
#news #technology #linkedin #AI #LLMs #slop #enshittification
"It’s all AI comments by fake people answered with fake replies by other fake people."
https://restofworld.org/2026/virtual-assistant-linkedin-engagement/
#news #linkedin #TechNews #technology #SocialMedia #AI #LLMs
"Combined, these changes will likely further decimate Google referrals to publishers, which have already been suffering from declining referrals due to AI Overviews."
https://techcrunch.com/2026/05/19/google-search-as-you-know-it-is-over/
#news #TechNews #technology #google #GoogleSearch #GoogleIO #AI #LLMs #enshittification
Anthropic spent billions of dollars to slice the spines off millions of books, including very rare ones.
AI companies are purchasing large quantities of used and rare books and scanning their contents to train LLMs. They then turn the originals to pulp.
The sum of human thought, digitized and shredded. Every book that gets scanned disappears from the physical world permanently.
Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email.
Training language models to be warm can reduce accuracy and increase sycophancy
Our findings suggest that training artificial intelligence systems to be warm may come at a cost to accuracy, and that warmth and accuracy may not be independent by default. As these systems are deployed at an unprecedented scale and take on intimate roles in people’s lives, this trade-off warrants attention from developers, policymakers and users alike.
How I will and will not use #LLMs (#AI):
- do always assume that the LLM outputs bullshit
- do use for discovery: Discover _potential_ security issues or bugs, find concepts I do not know about, generate throw away example code
- maybe use for analysis: Understand language, help understand bugs
- NEVER use to write code, never use a harness
- NEVER use for interactions with humans, NEVER use to write documentation
Applies to personal and professional tasks.
Settled after weeks of deliberation.
Getting booed after praising AI in a commencement speech is now its own genre.
"We should be celebrating ['people in this room'] and their brains, not some artificial intelligence that in the future is going to take their jobs and especially without regulation."
https://www.npr.org/2026/05/20/nx-s1-5822419/ai-colleges-commencement-booing
"Join moderator Dr. Meredith D. Clark alongside panelists KeShaun Pearson and KD Minor as they discuss their organizing efforts in Tennessee, Louisiana, and other southern states.
KD and KeShaun will discuss their work advocating on behalf of local communities against the environmental pollution, utility disruptions, and other health risks caused by the building and maintenance of infrastructure powering AI innovation."
https://www.archivingtheblackweb.org/events/data-center-pollution-south/
On #LLMs and building communities.
"Without community to provide the foundations for all our efforts and achievements, even the most antisocial of us is impoverished. Human labour is central to human community: building community is hard work. But the hard work is where the achievement lies, and the achievement makes the community."
"According to new research from consulting firm Robert Half reviewed by Fast Company, nearly a third (32%) of hiring managers say that their organizations eliminated a role or let someone go primarily due to productivity gains from AI or automation, and then later rehired for that same role."
#lispyGopherClimate low fi episode today !
https://toobnix.org/w/mWZ4yU9zdbYTZiCJftNAtV PREMIUM EXTENDED ARCHIVE
Subscribe via #RSS please : https://toobnix.org/feeds/videos.xml?accountId=580185
Are the #climateCrisis devastating datacentres the fault of #LLMs or just evil economics business as usual.
Then, @kentpitman is scanning a bunch of lisp historically significant paper documents into the public record - *should* measurably impact the #wikipedia page on #lisp , right!
Maybe some stuff on #IDE s apropos my https://lispy-gopher-show.itch.io/nicclim
Talked to a software engineer at Microsoft working on Copilot Studio today at a social event and he said he was ashamed that he hadn’t written a single line of code in over three months. “I used to take pride in my work.” (They simply create plans in neutral language and feed it to the LLM which generates the code. They can’t even do human code reviews anymore as there’s too much code being generated.)
He said that a lot of them were waiting for a catastrophic event (something that would take down crucial infrastructure) to get top management to reverse course. He seemed to think such a failure was very likely.
Given what we’ve been seeing recently, I tend to agree with him. Although I feel they will just double down. There’s too much money in the pot for them to fold.
The comedian and The Daily Show host gave the keynote address for Class Day 2026.