Nothing makes you hate cars more than living on a busy street, forced to listen to their din day in and day out. >:(

Cities Aren't Loud: Cars Are Loud — Not Just Bikes

Urban noise is a common problem, and the vast majority of it is created by motor vehicles. Noise is far too often dismissed as a minor nuisance, rather than the legitimate health issue that it is.

The book "Curbing Traffic" has a chapter about the health impacts of noise pollution. I explore the research in the book, and visit Delft, the city that is highlighted in the book as being a shining example of what can happen when noise pollution is taken seriously.

This video explores the problem that farting cars, farting motorcycles, and farting mopeds create in our cities.

#FuckCars #urbanism

From here:

There is no 'free' market, and there never has been. The 'free' market is predicated on the belief that all players will act honestly, and make informed choices based on available information. This is a completely false assumption, and has been proven so time after time.

It completely ignores human nature whereby someone will always lie, cheat, and steal to achieve their own ends -- this is what we see here.

Industry players will always form cartels and collude in anti-consumer behavior -- price fixing being the prime example.

Without someone to keep corporations in line, the market would steadily skew to all of the power being in the hands of a few.

There is no such thing as a 'free' market, and there simply never has been. It's a utopian myth which can never be true.

People who go around spouting about the 'free' market are either naive, self deluded, or actively lying.

#capitalism

Disney Files Landmark Case Against AI Image Generator — LegalEagle

#AI #LLM #LLMs

How AI is Ruining the Electric Grid — Wendover Productions

#AI #LLM #LLMs

A.I. is a Religious Cult with Karen Hao — Adam Conover

Silicon Valley has started treating AI like a religion. Literally. This week, Adam sits down with Karen Hao, author of EMPIRE OF AI: Dreams and Nightmares in Sam Altman’s OpenAI to talk about what it means for all of us when tech bros with infinite money think they’re inventing god. Find Karen's book at factuallypod.com/books

#AGI #AI #LLM

Considering that LLMs can only generate derivative works, I wonder if we'll get to the point where corporations that use it will start going after the creators of the original works, claiming that the LLM-generated works are the originals and that the actual original works are violating copyright. 0_0

#AI #LLM #LLMs

Digital Tar Pits - How to Fight Back Against A.I.

A new movement aimed at poisoning A.I. models like ChatGPT has gained traction after hackers have been attempting to trap said models in a never ending ‘Tar Pit’ of nonsense. After reading an Ars Technica interview, I tracked down a hacker developing tools to poison AI training data. Tools such as ‘Nepenthes’ are designed to confuse and corrupt the models that scrape the internet for their learning. But can we really stop A.I. from turning the web into a mess of low-quality, regurgitated slop?

#AI #LLM #LLMs

These lines from Video Killed the Radio Star just make me think of generative #AI now. :( #LLM #LLMs

They took the credit for your second symphony
Rewritten by machine on new technology
And now I understand the problems you could see

You know how companies are "reshaping" LLMs in response to them producing results they don't like (termed "hallucinations" for marketing purposes), even though the data they trained the LLMs on included at least chunks of whatever resulted in said "bad" results?

Imagine getting a lobotomy every time you said something people didn't like. 0_0

#AI #LLM

AI Vision Explained (and How to Avoid Paying for It) — FortNine

Motorcycle AI Vision is coming. But what is it really worth?

#motorcycle #LLM #AI

Doesn't using an #LLM to create large portions of your codebase mean that you end up with a lot of code that nobody understands unless they put in the time to go through it and learn what it's doing? If so, it's not much different from writing the code from scratch in the long one. :/

(Yes, I know about boilerplate and do think that's a valid use case as long as you know what the boilerplate is doing.)

#AI #programming

What if part of the push for #LLMs ('AI') is sort of a 'gateway drug" for getting people into programming? It teaches how to format queries, albeit using human language instead of special syntaxes. 🤔

#LLM #AIs #AI #ArtificalIntelligence

Engineers are supposed to target efficiency and quality, but LLMs/"AI" are the opposite of that. They're exceedingly energy hungry and produce mediocre results that still require human intervention after the fact. Seems like a dead end until we've figured out better ways to implement them. 🤷‍♂️

#LLM #AI

What Grok’s recent OpenAI snafu teaches us about LLM model collapse

Instead, it was model collapse—though Babuschkin didn’t use those exact words. “The issue here is that the web is full of ChatGPT outputs, so we accidentally picked up some of them when we trained Grok on a large amount of web data,” he wrote. “This was a huge surprise to us when we first noticed it.” Grok was notably set up to pull from livestreams of internet content, including X’s feed of posts, which was identified as a potential issue by experts who spoke to Fast Company a month ago.

“It really shows that these models are not going to be reliable in the long run if they learn from post-LLM age data—without being able to tell what data has been machine-generated, the quality of the outputs will continue to decline,” says Catherine Flick, a professor of ethics and games technology at Staffordshire University.

The reason for that decline is the recursive nature of the LLM loop—and exactly what could have caused the snafu with Grok. “What appears to have happened here is that Elon Musk has taken a less capable model,” says Ross Anderson, one of the coauthors of the original paper that coined the term model collapse, “and he’s then fine-tuned it, it seems, by getting lots of ChatGPT-produced content from various places.” Such a scenario would be precisely what Anderson and his colleagues warned could happen come to life. (xAI did not respond to Fast Company’s request for comment.)

#LLM #AI