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."
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.