Tootfinder

It's hard to overstate just how much my confidence in a piece of software drops when I see this. (Especially for this project which was very vocal about its shift to genai-first)
#vibecoding #genai

Semantic Conventions for #GenAI agent and framework #spans
https://opentelemetry.io/docs/specs/se

You can't make this stuff up (or can you?):
#LLMs #AI #GenAI

Do you think all AI-generated images posted here on the Fediverse should be behind a content warning?
1/2
#genAI #AISlop #Fediverse

"#GenAI is a cult built on debt and theft." —#EdZitron
https://omny.fm/shows/better-offline…

The writing is on the wall: Tokens for capable #genAI models will continue to get more expensive as usage explodes and GPUs remain scarce. #Anthropics attempt to remove #Claude Code from their $20 pl…

Are you in tech and outraged about generative AI? Is it being forced down your throat at work?
Here's a nice vindictive way to get a little revenge if you want:
1. Find a project that contains slop code.
2. Optionally, identify specific files or functions that are LLM-generated. I guarantee you that on average, this code has not been adequately tested/inspected, even/especially if it contains LLM-generated test cases.
3. Make up a reason the code could be flawed, bonus points if it's subtle or hard to test. Don't put effort into this or try to actually find a flaw. Just make something up at random.
4. Report your made-up defect as a bug.
That's it. If anyone ever questions you on the incorrect report, just say "oh I used an LLM and it said there was a bug so I reported it." (Don't actually use an LLM, that would be feeding the bubble.)
Note that you are showing the creator of the code the exact same amount of disrespect that they've shown you by publishing slopcode in the first place. I'd bet odds are 50:50 or better that if a human actually follows up on the report, even though they'll find out that the bug report is wrong, they'll find and fix some other subtle flaw in the LLM-generated code, so this is actually helpful in a way.
For step 3, try to get creative. Like "logic in decideUVParameters can cause state to be inconsistent in some cases." If asked for a steps to reproduce, either make one up if it's easy to do so, or say "I forgot how I triggered this." Surely they can ask an LLM to figure out conditions that would trigger the bug ;).
#AI #LLMs #GenAI

RE: #cybernetic perspective, "#GenAI" is absolutely toxic. It can radically increase variety (it can generate plausible threat reports) but it can't decrease variety (you can't actually use it to filter out its own slop).
LLMs are set up to destroy modern society. It will not ever find a way to manage this complexity because it doesn't have enough complexity to even recognize the problem.

RE: #GenAI. This is the way we need to talk about this.

Dear generative AI enthusiasts,
Look, I know the tokens you're burning right now don't actually use *that*much energy (even though it's somewhat substantial already and disastrous when we take into account the quality of the crap it's being used for) but what's more important is the appearance (or not) of that token spend on the quarterly earnings report of OpenAI/Anthropic/etc. lays the foundation necessary for those companies to go ahead with their plans for datacenters on a truly ridiculous scale, and those datacenters, if built, ate indeed a climate nightmare which *my kids* will have to live through even if they never benefit from any of it at all. That's (one of many reasons) why I personally need you to stop using generative AI right now.
The fact that the output is crap, the way it erodes your intelligence, and the ways in which it plagiarizes and actively undermines good citation practices are among many other practical reasons not to use it, but what's personal to me is the way that your frivolous sloperation is making the future worse for the baby I'm feeding blueberries to as I type this, and half the time I interact with people like you the conversation begins with some form of "putting aside the ethical issues..."
#AI #GenAI #LLMs

This group "The Library of Babel" is confronting the invasion of #genAI into everything we do, seems interesting:
"a nascent, international coalition of educators confronting and resisting the incursion of surveillance, automation and datafication into spaces of teaching, learning, research, and creative expression. "

Donald Knuth is quite enthusiastic about his recent experiences with generative AI: #Knuth

RE: https://tech.lgbt/@ngaylinn/116176596337509618
Interesting thread on Image Generation.
My conclusion: it's not machines becoming more intelligent but humans being gullible.

Headline in my French journal: "Five tricks to use AI without giving up on your neurons"
Let me tell you what should be the content of that:
(1). Do not use AI
(2). Do not use AI
...

(5). Do not use AI

(And you'll help save the planet and fight big brother all at the same time!)
#GenAI

RE: #genAI in accuracy and innovation while consuming only a tiny sliver of the available training data, and sustainably runs fine on 100%-biofueled 40 watts of power. 🧠