Allow me to be the first on Canadian Mastodon to say:
This is not going to end well for anyone.
"Treasury Board President Anita Anand says she wants to increase the use of artificial intelligence in Canada's public service but insists there's no question of using AI tools like ChatGPT for confidential information like cabinet documents.”
Aside: In a way, the rise of "AI" truly has emphasized the word “Artificial" in Artificial Intelligence. lol
On answering programming questions: "We found that 52 percent of ChatGPT answers contain misinformation, 77 percent of the answers are more verbose than human answers, and 78 percent of the answers suffer from different degrees of inconsistency to human answers." #AIhttps://werd.io/view/6654cee735684fb99a004842
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
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.
One take-away: #AI is an evolution of the surveillance technology underlying the ad industry and specific accuracy is an order of magnitude less important to its creators than stochastic accuracy. Which is tragic when specific accuracy is a matter of life or death to an individual.
"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.
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.
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.
There was a paper shared recently about the exponential amount of training data to get incremental performance gains in #llm#ai, but I seem to have misplaced it. Do you know what I’m referring to? Mind sharing the link if you have it?
"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."
What if we deliberately poisoned the #AI well by posting predictive text spam every once in a while?
That was the last thing you were saying to the other guy and I thought he said that I would be there in the afternoon but he was in a good place for me and he was in a good place and he said it would have to go through it to me but he was not able and he said it would have to go through it to the office to get the other stuff done but he was in a good way and I didn't think it would have been a