Tootfinder

Was just made aware of this pretty good but entirely predictable study:
#LLMs

LLMs are good at deanonymization.
#AI #LLMs

Large-scale online deanonymization with LLMs
We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about tha…

"Using #AI to check the output of AI for errors is a method that is historically prone to errors"
No shit, Sherlock.
#LLMs
#StochasticParrots
AI Translations Are Adding ‘Hal…

AI Translations Are Adding ‘Hallucinations’ to Wikipedia Articles
AI translated articles swapped sources or added unsourced sentences with no explanation, while others added paragraphs sourced from completely unrelated material.

On the one hand, LLMs are planet-destroying bullshit machines, gaslighting our sense of reality by spewing an endless supply of hallucinations.
On the other hand, they can provide a brief yet overwhelmingly mild sense of satisfaction when you convince them to do something silly.
#LLMs #DonnieTurnip

I have some sketches of an essay that I need to write, but I think it's worth brain-dumping a bit more in the mean time.
#LLMs are an attempt to make tech grow forever. But like, how many "your mom/a friend, but done by a precarious worker instead" apps do we really need? Everything right now is in the AI grift hole, but there's almost nothing of interest (even if you ignore the ethical concerns). Like, no, I don't fucking want a robot to lie to me about my groceries. That doesn't sound like a useful feature. There's a lot of useless shit being pumped out to prop up the bottom line, and a lot of people just want to be able to use their old phone for more than a couple of years.
No one is happy with this. No one wants this. Except the billionaires who are forcing us all to drink the capitalism koolaid, because they'd rather exterminate life on earth than live in a world where they experience consequences.
Nothing grows forever. That's not how literally anything in reality works, or has ever worked, at all in history. Some people think that the universe itself may work like that, but that's only an educated guess. Finite things don't grow forever. Every organism, every society, every technology, every dynamic and adaptive system we have ever known goes through a growth phase and then goes in to a stabilization phase. Or, following a Malthusian pattern, grows until it reaches a catastrophic point and collapses. Like lemmings. Or reindeer. Or cancer.

Emergent #Misalignment: Narrow #finetuning can produce broadly misaligned #LLMs

Interesting LLM nuance: why does using phrases like "you're a pen-tester" cause chatbots to emit substantially different predictions, and basically "follow" that instruction? Because of how LLMs work, this implies that the training data has plenty of examples where real humans told each other that they were some role and the humans just immediately jumped into that role without question or intervening dialogue. But that's not something people do in normal conversation. Even in playing-with-kids contexts if you drop that out of the blue you're probably going to get "no I want to be a robot" or "but you were the elephant last time!" rather than immediate assumption of the assigned role.
It's possible that training LLMs to predict immediate role-assumption is something the big models spent a lot of manual effort on. But what I think is more likely is: it's the legacy of role-play forums! All those reams of pages of teenagers (yes, often horny) pretending to be Captain Kirk or their own incredibly cringe "cool" character (but honestly, why call it cringe, let kids be kids and have fun)...
So next time you "tell" a chatbot "you're a..." to get it to do what you want, I'm pretty sure you have an RP forum teen from the past to thank :)
#AI #LLMs

DeepSeek, the Chinese artificial intelligence lab whose low-cost model rattled global markets last year, has not shown U.S. chipmakers its upcoming flagship model for performance optimization, two sources familiar with the matter said, breaking from standard industry practice ahead of a major model update.
Instead, the lab, which is expected to launch its next major update, V4, granted early access to domestic suppliers, including Huawei Technologies, the sources said.
#LLMs #AI

No! No! No! No! No!
#LLMs don't hallucinate. LLMs NEVER hallucinate. LLMs CANNOT hallucinate. LLMs don't have the cognitive ability to hallucinate. Any more than they have the cognitive ability to tell the truth, or to understand what truth is or why it matters.
These are things LLMs can NEVER do.
Anyone who tells you different is either a fantasist or a malign actor.

Working with #LLMs both at work and at home make me reconsider the usual #developer approach to problems.
We should probably let go of reaching for deterministic results and instead become true engineers and implement #DemingWheel

At this point, if you don't find AI tools useful for code generation, that's a skill issue.
(The issue is that you are an actually competent programmer who knows how to do things like abstract boilerplate code into a helper function or practice test-driven development, and therefore you recognize the AI tool "assistance" as a net productivity loss. If you aren't good enough on your own that AI slows you down, the "speedup" you'll experience can only come at a crippling quality cost, which you might not even be able to recognize until it's too late.)
#AI #LLMs #VibeCoding

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

“To waste what little bandwidth we have left – when 750 million people worldwide lack access to electricity – assisting some of the richest men ever to hone their plagiarism bots would be a historic idiocy that future generations are unlikely to forgive today’s leaders for.”
#StochasticParrots
#LLMs