"The significance of this development is profound: If AI provides the answers to all the searches that you’re looking for, there is no need to click on the source articles that provide the answers. If you don’t click on the source articles, the publishers do not receive any ad revenue, and if the publishers do not receive ad revenue, they cannot pay their writers to provide the answers for Google’s AI to steal."
It’s amazing the things some people will say to you if you are not 100% aboard with #ai.
Do these people really believe in Roko’s Basilisk? Is there a quota of tiny twitter/mastodon accounts to bully in order to not get tortured for eternity?
The hilarious thing about Microsoft going all in on AI with #CoPilot and #Recall, they threw Intel and AMD under the bus. The whole last year of "AI PCs" won't get features like Recall.
The consumer reaction to Recall has been overwhelmingly negative, but all these companies are afraid of shareholders and investors wanting more AI hype to make stock prices look good.
But #AMD and #Intel have all these chips made that are falling in price fast.
You can find some CRAZY deals on computers right now that WONT run Recall, but are over-kill powerful for home systems.
Mini PC's used to sell chips that were two or three years old. This Geekom is using AMD's current laptop chip, with 32GB of RAM, and 2TB of storage for $899!
It's a REAL good time to shop a NON Recall compatible PC.
There was a time when professional design & presentation helped separate the fly-by-night from the well-established. Even those who couldn’t articulate why or how one ad (commercial, website) was better than another could tell one was. It was no guarantee, but it was a helpful clue.
Facebook stripped all that away. On Facebook, the guy selling stolen shit from his van looks as legit as Target or Home Depot.
Google’s AI-generated search results do this, too. #AI#Google
"... it’s imperative that we recognize mass surveillance – and ultimately the surveillance business model – as the root of the large-scale tech we’re currently calling #AI
"AI headphones let wearer listen to a single person in a crowd, by looking at them just once"
Basically, you look at a person in a crowd (maybe at a party, or a crowded restaurant) and the #AI focuses on that person, does noise cancellation on all other sounds.
To me, THIS is the great side of AI, where we should be focusing. Obvious benefits, no big disbenefits.
It's fashionable to criticize #LLMs, but can you think of another human invention that allows us to spend the energy budget of Tanzania to lift shitposts out of context and present them as if they were authoritative knowledge?
Interesting data from a new edition of the Foundation Model Transaprency Index - collected six months after the initial index was released.
Overall, there's big improvement, with average score jumping from 37 to 58 point (out of a 100). That's a lot!
The interesting fact is that researchers contacted developers and solicited data - interactions count.
More importantly, there is little improvement, and little overall transparency in a category that researchers describe as "upstream": on data, labour and compute that goes into training. And "data access" gets the lowest score of all the parameters.
Having massively over-promised on an immature technology with really quite a limited range of productive use-cases, #AI firms are now contriving to deliver.
However, because there is no tangible product, they are using their financial might and institutional power to bludgeon the Internet and society as a whole into an AI-shaped hole.
It's like a company that makes anti-diarrhoea meds pumping laxatives into the water-supply to engineer enough demand to justify billion of investment.
Can Generative #AI improve social science? https://www.pnas.org/doi/10.1073/pnas.2314021121?TOC_v121_i21 That's a reasonable discussion of the advantages and risks, including limited reproducibility of using LLMs.
An open AI infrastructure for LLMs seems reasonable. Maybe funding agencies can support first steps in this direction @academicchatter
I am trying ever so hard to cultivate a positive attitude around AI. It’s hard!
Despite the avalanche of graphic monstrosities, the confident misinformation, the collapse of essay-based assessments in schools (not actually a bad thing, if it leads to more on-site, project-based learning).
I’m trying to see it as a tool that can complement (not replace) good design and knowledge management.
Starting to get sick of this stuff, Brave. I should not be trying to figure how to turn this off, because it should never have turned on without asking me first. #enshittification#ai
The #AI Trilemma: or why AI won't be as revolutionary as we expect.
We are in the midst of an AI revolution... or are we? As business leaders around the world scramble to integrate AI into their products and business practices, the cracks are beginning to emerge. We've seen GPT4 fail at basic reasoning, Google's AI search telling people to jump from a bridge, Microsoft's copilot inventing quotes from Vladimir Putin, and recidivism algorithms that continue to send the wrong people to prison.