relied heavily on teams of human workers—primarily located overseas—to manually process transactions in secret, mimicking what users believed was being done by automation
Example of "AI" hype when it's neither artificial nor intelligent.
misled investors by exploiting the promise and allure of AI technology to build a false narrative about innovation that never existed. This type of deception not only victimizes innocent investors...
Note that the crime is misleading investors, not anyone else, which is very telling. It's only a crime when you rip off other rich people.
Discussed here:
https://old.reddit.com/r/nottheonion/comments/1jygobw/ceo_of_ai_shopping_app_faces_40_years_for_using/
A research-backed AI scenario forecast.
We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.
We wrote a scenario that represents our best guess about what that might look like. It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes.
So much hype in this one, coming from people who (likely) have very narrow domain knowledge and trying to make hype-y predictions for humanity. Such as a footnote that reduces human brains to equivalents of "compute" as X FLOPS, and comparing "AI" to multiples of human brains as a measure of "superintelligence"...
As OpenAI and Meta introduce LLM-driven searchbots, I'd like to once again remind people that neither LLMs nor chatbots are good technology for information access.
Linked talk - ChatGP-Why: When, if ever, is synthetic text safe, appropriate, and desirable?
https://www.youtube.com/watch?v=qpE40jwMilU
Transcript of: https://www.youtube.com/watch?v=eK0md9tQ1KY
It’s a way to make certain kinds of automation sound sophisticated, powerful, or magical and as such it’s a way to dodge accountability by making the machines sound like autonomous thinking entities rather than tools that are created and used by people and companies.
With 7 key questions to ask of an automation technology.
Summarising several "scientific" studies where:
[they] reduce a human task into an oversimplified game that, at its core, involves producing some plausible-looking text, only to conclude that LLMs can, in fact, generate some plausible text. They have committed one of science's cardinal sins: They designed an experiment specifically to validate their preexisting belief.
The pandemic showed us that undermining the public's trust in science can cost human lives, but the harm here goes further. These so-called studies are purposefully, almost explicitly designed to reach the result that workers are dispensable.
...The present findings suggest that the current state of AI language models demonstrate higher creative potential than human respondents.
https://doi.org/10.1038/s41598-024-53303-w
article about this paper:
https://mobinetai.com/ai-more-creative-than-99-people/
Nature article about Replika AI companion:
https://www.nature.com/articles/s44184-023-00047-6