Most important RFC of the 20s?

Robots Exclusion Protocol Extension to manage AI content use
draft-canel-robots-ai-controll

datatracker.ietf.org/doc/draft…

#ai #llm #genai

I'm a little puzzled at the salience that is being given to the Apple conclusions on #LLM #reasoning when we have lots of prior art. For example: LLMs cannot correctly infer a is b, if their corpora only contain b is a. #Paper: arxiv.org/abs/2309.12288

#AI #MachineLearning #logic

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is trained on a sentence of the form "A is B", it will not automatically generalize to the reverse direction "B is A".

^arXiv.org

#HandAufsHerz

Wie macht ihr deutlich, wenn ihr Sprachmodelle für Aufgaben nutzt, wie z.B. Antworten per E-Mail, SocialMedia, Programmierung oder ähnliches?

#LLM #sogenannteKI #Assistenten #Transparenz

#AIagent promotes itself to #sysadmin , trashes #boot sequence

Fun experiment, but yeah, don't pipe an #LLM raw into /bin/bash

Buck #Shlegeris, CEO at #RedwoodResearch, a nonprofit that explores the risks posed by #AI , recently learned an amusing but hard lesson in automation when he asked his LLM-powered agent to open a secure connection from his laptop to his desktop machine.
#security #unintendedconsequences

theregister.com/2024/10/02/ai_…

AI agent promotes itself to sysadmin, trashes boot sequence

Fun experiment, but yeah, don't pipe an LLM raw into /bin/bash

^{Thomas Claburn (The Register)}

🆕 blog! “GitHub's Copilot lies about its own documentation. So why would I trust it with my code?”

In the early part of the 20th Century, there was a fad for "Radium". The magical, radioactive substance that glowed in the dark. The market had decided that Radium was The Next Big Thing and tried to shove it into every product. There …

👀 Read more: shkspr.mobi/blog/2024/10/githu…
⸻
#AI #github #LLM

Independent test of #OpenAI’s o1-preview model achieved near-perfect performance on a national #math exam (landing in the top .1% of the nation’s students).

o1 also outperformed 4o on the math test, but took about 3 times longer to do so (10 minutes vs. 3 minutes).

Preprint: researchgate.net/publication/3…

#teaching #assessment #AI #LLM #edu #higherEd

Massive E-Learning Platform #Udemy Gave Teachers a Gen #AI 'Opt-Out Window'. It's Already Over.

Udemy will train generative AI on classes developed/users contributed on its site. It is opt-out (meaning, everyone was already opted in) with a time window... and opting out may "affect course visibility and potential earnings."

Udemy's reason for the opt-out window was reportedly because removing data from LLMs is hard. IMO, that would be the reason for making it opt-in, but here we are...

#privacy #privacymatters #llm

404media.co/massive-e-learning…

> Gamma is a free AI tool that can automatically convert your documents or PDFs into visually appealing presentations in minutes.

Okay, so I understand that AI is cool. I understand that we can make AI do a lot of things. But seriously. First, there's a model that turns HTML into Markdown. And granted, I haven't tried that one, and I probably should. And now this? Like, no one has heard of Pandoc anymore? Like I can literally write a Markdown file and pandoc -i presentation.md -o presentation.pptx. Something like that anyway. And get a presentation out of it. Or just import a Word document into PowerPoint. Or just use a Markdown file and arrow down through the bullet points if I don't *need* to be fansy.

I'm starting to kind of understand how wasteful people are with this kind of stuff.

#ai #presentation #llm

So like I just have to ask. For people that are super critical of AI for accessibility, what do you expect instead? Do you want blind people to have human ... guides or whatever that will narrate the world around you? Do you want humans to describe all your pictures? Videos? Porn? Because that's about the only other option. And you may return with "Well audio description." And I return with "You think people are going to describe every YouTube video out there? Or old TV shows like Dark Shadows?" Because honestly that's what it'd take. If AI were *not* around, if we want *that* kind of access, that's what we'd have to ask, of darn near every sighted human in the world. And I just don't feel comfortable with demanding that of them.

Now, we'll see what Apple does to give us what will hopefully be even better image descriptions. Imagine a 3B model that is made with **high quality** images and description pairs, trained to do nothing but describe images. Apple has done pretty darn good without LLM's so far, so maybe they'll surprise us further. But my goodness, I'd much rather have something that, yes, makes me *feel* included, maybe a tad bit more than it actually *does* include me. And that's for each and every blind person to decide for themselves if they want to use AI for image, and probably soon, video descriptions, and what they're willing to trust with it. But for us to get this much real, human access, I just hope people who are detracting from AI understand that we who use AI are now used to having images described, and well, soon videos. It's just something that I don't think people should just deny quickly.

#AI #accessibility #blind #description #video #llm

Have you tried using generative #AI for #coding ?

AI meaning #LLM here, like GH-Copilot, ChatGPT, Claude, Ollama and so on.

• No not yet or no interest (40%, 12 votes)
• Yes, but its still useless (16%, 5 votes)
• I use it, but it decreases my skill & productivity (10%, 3 votes)
• I use it and it boosts my skill & productivity (33%, 10 votes)

#DSGVO versus #LLM / #KI :
Copilot macht aus einem Gerichtsreporter einen Kinderschänder
heise.de/news/Copilot-macht-au…

Recht auf Auskunft? Schwierig. Löschen der Falschinformationen? Unmöglich. Und nun?

Copilot macht aus einem Gerichtsreporter einen Kinderschänder

Weil er über Verhandlungen berichtet hat, macht der Copilot aus einem Journalisten einen Kinderschänder, Witwenbetrüger und mehr.

^{Eva-Maria Weiß (heise online)}

Also @Tutanota , as a privacy focused company, why are your comments run on #Reddit, rather than the #Fediverse? Most privacy minded folks don't want their comments being used by AI LLM's etc.

This is way off brand.

@carlschwan among others have already shown how to do it fedistyle, pretty easily, and I'm sure many of the FOSS Fedipeeps here would happily help you out with a quick transition if you asked or gave a few $ to their FOSS project.

#Tuta #Reddit #Privacy #Fediverse #FOSS #AI #LLM

GPT 4 hallucination rate is 28.6% on a simple task: citing title, author, and year of publication medium.com/@michaelwood33311/g…

Hallucination rates and reference accuracy of ChatGPT and Bard for systematic reviews: Comparative analysis jmir.org/2024/1/e53164 #AI #LLM

GPT 4 Hallucination Rate is 28.6% on a Simple Task: Citing Title, Author, and Year of Publication

The all-too-common myth of GPT 4 having only a 3% hallucination rate is shattered by a recent study that found GPT 4 has a 28.6% hallucination rate. That’s almost 10x the oft-cited (i.e. over hyped)…

^{Michael Wood (Medium)}

Upon recommendations, I tried this AI prompt injection game for the first time. I made it to level 7 with no help from the internet!

If you want to donate to me, donate to me on this page.

My website is here where I usually blog. I'm not much of a video person, so I blog and write more than I do video!

Do you remember a couple of weeks ago when I complained that a very large #python contribution to #inkscape was poorly formatted and I felt embarrassed about pushing back and asking them to run a linter over it?

Yeah I'm not fucking embarrassed now, I'm furious. 🤬

Update: Apparently they meant a small section of it was, not the whole MR. I'm annoyed, but I'll have to take them at their word.

#llm #oss #foss #mergerequest

Dnešný fail ruzzkého trolla bol tak rozkošný, že som sa trošku rozpísal - takže kŕmiť či nekŕmiť trollov?

herrman.sk/home/krmit-ci-nekrm…

#troll #chatgpt #llm #fail #blog

• Kŕmiť (0 votes)
• Nekŕmiť (0 votes)
• trollololooooo (0 votes)

This generative model allows you to sketch out a scene with a few words, it then leverages an LLM to flesh out the details, with the ultimate goal of feeding those details to a downstream visual image generation model.
It is almost, but not quite, entirely the inverse of image captioning models.
This offers the closest experience to an image generation tool that's usable by people with visual impairments.

huggingface.co/spaces/lllyasvi…

#a11y #genai #llm

Omost - a Hugging Face Space by lllyasviel

Discover amazing ML apps made by the community

^{huggingface.co}

Like many other technologists, I gave my time and expertise for free to #StackOverflow because the content was licensed CC-BY-SA - meaning that it was a public good. It brought me joy to help people figure out why their #ASR code wasn't working, or assist with a #CUDA bug.

Now that a deal has been struck with #OpenAI to scrape all the questions and answers in Stack Overflow, to train #GenerativeAI models, like #LLMs, without attribution to authors (as required under the CC-BY-SA license under which Stack Overflow content is licensed), to be sold back to us (the SA clause requires derivative works to be shared under the same license), I have issued a Data Deletion request to Stack Overflow to disassociate my username from my Stack Overflow username, and am closing my account, just like I did with Reddit, Inc.

policies.stackoverflow.co/data…

The data I helped create is going to be bundled in an #LLM and sold back to me.

In a single move, Stack Overflow has alienated its community - which is also its main source of competitive advantage, in exchange for token lucre.

Stack Exchange, Stack Overflow's former instantiation, used to fulfill a psychological contract - help others out when you can, for the expectation that others may in turn assist you in the future. Now it's not an exchange, it's #enshittification.

Programmers now join artists and copywriters, whose works have been snaffled up to create #GenAI solutions.

The silver lining I see is that once OpenAI creates LLMs that generate code - like Microsoft has done with Copilot on GitHub - where will they go to get help with the bugs that the generative AI models introduce, particularly, given the recent GitClear report, of the "downward pressure on code quality" caused by these tools?

While this is just one more example of #enshittification, it's also a salient lesson for #DevRel folks - if your community is your source of advantage, don't upset them.

YOWZA
Form Extractor Prototype

“This tool extracts the structure from an image of a form.”

github.com/timpaul/form-extrac…

#ai #LLM #UX #accessibility

GitHub - timpaul/form-extractor-prototype

Contribute to timpaul/form-extractor-prototype development by creating an account on GitHub.

^GitHub