:cwy: I thought Google deepfaked Weird Al, but the truth turned out to be far more disturbing.
"Rebillet has over 2 million followers on both YouTube and TikTok, where he’s best known for his viral “Night Time Bitch” sound clip and songs in which he screams at people to get out of bed while wearing a bathrobe."
The truer function of #GenAI is less answering than illuminating, helping the human prompter locate hitherto obscure paths and connections between ideas on an incomprehensibly large map made of language and vector math.
Used properly, GenAI is a torch that broadens the field of possibilities known to its human petitioner, who must still interpret, investigate, and decide.
From Pong on the Atari to Mario Bros on Nintendo there as a massive leap in what appeared to be possible on such limited hardware. The hardware engineers and software developers at Nintendo were able to achieve such an amazing result due to their clever solutions.
Today we have these modern AI systems which clearly have limitations. I am now thinking what would it take for this same leap from Atari to Nintendo. We know there are problems with GenAI, but what could be done with it with these known limitations? The possibilities are still pretty hard to fathom. #AI#GenAI#Nintendo#Atari
Stanford University released a new course last week focusing on Deep Generative Models. The course, by Prof. Stefano Ermon, focuses on the models beyond GenAI models.
A policy on use of Generative AI has been accepted by the Minecraft Wiki community.
With development of new tools and technology, wikis have to keep up and evaluate risks and effects of those on the wiki and their communities. This policy is a result of exactly those evaluations.
Just FYI, if you have older parents or other family members, set up some sort of shibboleth with them so they know what to ask you if you ever call them asking for something. These new generative models are going to be extremely convincing, and the idiots in charge of these companies think they can use guardrails to stop it being used inappropriately. They can't. #genAI#LLMs#chatgpt
What can we discover by reading the terms and conditions of #GenAI tools? What do users consent to? What are the regulatory responses in 🇪🇺 🇨🇳 🇺🇸?
Join our online event on May 23 at 16:30 UTC+2 to discover the #GenerativeAI Watch project! https://www.sciencespo.fr/ecole-droit/en/events/generative-ai-watch/
We will present a dataset of terms and conditions of major generative #AI services, some of the discoveries that we made when tracking their changes, and how the changing regulatory landscape could impact those terms. #AIAct#TermsSpotting
“React and the component model standardises the software developer and reduces their individual bargaining power excluding them from a proportional share in the gains”. An amazing write-up by @baldur about the de-skilling of developers to reduce their ability to fight back against their employers.
“The general problem of mixing data with commands is at the root of many of our computer security vulnerabilities.” Great explainer by security researcher Bruce Schneier on why large language models may not be a great choice for tasks like processing your emails. https://cacm.acm.org/opinion/llms-data-control-path-insecurity/
We're extremely proud to announce that Deepsha Menghani (@deepsha) will be the Keynote Speaker at the Cascadia R Conference 2024. Her talk, titled 'Why is everybody talking about Generative AI?' will explore how GenAI applications have revolutionized numerous industries through practical use cases.
Very few people seem to be dealing with the facts that:
#genAI services are all being priced as loss-leaders at this point.
gen AI is only going to get more expensive, there's literally no forseeable prospect for cost reduction in how AI is produced.
Eventually these vendors are gonna be expected to count profits, not revenues, & that's going to mean either fewer services, less service, higher prices, or all of the above.
“AI Use Cases for R Enthusiasts” - Upcoming Workshop for Ukraine this Thursday, May 9, noon ET/6 pm CET/9 am PT with Dr. Albert Rapp ( @rappa753 but not too active here). Donate 20 euro/20 USD for this live 2-hour session - or if you can’t make it, access to recordings & materials.
Rapp says you'll leave with “fresh ideas and practical strategies for using AI.” https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine #rstats#AI#GenAI@rstats
The TinyChart-3B LLM answers questions about data visualizations. It can also generate underlying data from a dataviz and Python code to re-create a similar chart.
@joelanman
"SORA is correctly applauded for its object consistency during a shot, but there is nothing to help make anything from the first shot match in a second shot"
"There’s a little bit of temporal control … but it’s not precise… it’s kind of a shot in the dark – like a slot machine – as to whether or not it actually accomplishes those things at this point"
Sounds like such a great tool. Just as advertised 😐
"[...] we have been and will continue to be clear that we do not allow the use of generative AI in our art. While detection can be difficult and lines blurry, we are working hard to make sure our art is made by the talented humans who have delighted our fans for decades"