He puts into clear terms what had previously been an unarticulated, creeping suspicion I had about #GenAI. Clearly there are many angles from which to come at what's going on with #AI#hype , but I appreciate this one quite a bit.
It’s nauseating that the hyperscalers are crankin’ the carbon to inflate the AI bubble like there’s no tomorrow (which there won’t be, for my children, if we don’t cut back) but hey, don’t forget that Bitcoin is still in the running for the single most dangerous-to-the-planet use of computers.
🔥 How DeviantArt died: A.I. and greed turned a once-thriving community into a ghost town | Slate
"Generate a bunch of free images and accounts, have them buy and boost one another in perpetuity, inflate metrics so that the “art” gets boosted by DeviantArt and reaches real humans, then watch the money pile up from DeviantArt revenue-sharing programs. Rinse, repeat."
Aha, I get it now: the GenAI enshittification of cloud services like Slack, StackOverflow, Google, Discord, MSFT, and all the rest is a conspiracy by lonely SysAdmins who miss the old days of running IT equipment in-house and are pushing a return to on-prem 🖥️💽⌨️
TIL: CxO people are making crucial strategic decisions based on ... what ChatGPT happens to regurgitate. 😵💫
So to have a chance of a good understanding of your services or ideas, and therefore a good decision from these CxO people, you need to feed the GenAI beast with more publicly available data.
MIT launched the 2024 edition of the Introduction to Deep Learning course by Prof. Alexander Amini and Prof.Ava Amini. The course started at the end of April and will run until June. The course lectures are published weekly. The course syllabus keeps changing from year to year, reflecting the rapid changes in this field.
: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."
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/
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.
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.
"[...] 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"