Pretty much my sentiment too.
Pretty much my sentiment too.
Your favorite services are adding “AI” features (and raising prices to boot), your data is being collected and analyzed (probably incorrectly) by AI tools, you are interacting with AI-generated responses on social media, viewing AI-generated images and videos, and reading articles generated by AI. Business leaders are making decisions about your job and your value using AI, and political leaders are making policy and military decisions based on AI output.
It’s happening, with you or to you.
Visa hasn't worked for online purchases for me for a few months, seemingly because of a rogue fraud-detection AI their customer service can't override.
Is there any chance that's just a poorly implemented traditional solution rather than feeding all my data into an LLM?
Traditional fraud-detection models have quantified type-i/ii error rates, and somebody typically chooses parameters such that those errors are within acceptable bounds. If somebody decided to use a transformers-based architecture in roughly the same setup as before then there would be no issue, but if somebody listened to some exec's hairbrained idea to "let the AI look for fraud" and just came up with a prompt/api wrapping a modern LLM then there would be huge issues.
https://successfulsoftware.net/2022/04/14/verifone-seems-to-...
For all the talk in the early days of Bitcoin comparing it to Visa and how it couldn't reach the scale of Visa, I never thought it would be that Visa just decided to place itself lower than Bitcoin.
Kind of the same as Windows getting so bad it got worse than Linux, actually...
It writes a narrative of success even if it's embellished. Managers respond to data and the people collecting the data are incentivised to indicate success.
we’ll force you to come back to justify sunk money in office space.
We don't talk enough about how the real estate industry is a gigantic drag on the economy.
Perhaps… the right balance is actually working only 4 days a week, always from the office, and just having the 5th day proper-off instead.
I think people go through “grinds” to get big projects done, and then plateau’s of “cooling down”. I think every person only has so much grind to give, and extra days doesn’t mean more work, so the ideal employee is one you pay for 3-4 days per week only.
But that's a tall order, so maybe we just need managers to pay attention. It doesn't take that much effort to stay involved enough to know who is slacking and who is pulling their weight, and a good manager can do it without seeming to micromanage. Maybe they'll do this when they realize that what they're doing now could largely be replaced by an LLM...
It's a sort of pushiness that hints not even the people behind the product are very confident in its appeal.