Readit Newsmattas commented on America's betting craze has spread to its news networks newyorker.com/news/the-le... · Posted by u/FinnLobsien
The line between betting, investing, and insurance is blurring. For example, if I want to hedge my exposure to tariffs on copper wire, I can now "bet" that new tariffs will be implemented on metals.
That's a good thing? But it opens up a Pandora's box of bad things, too.
Are benchmarks the right way to measure LLMs? Not because benchmarks can be gamed, but because the most useful outputs of models aren't things that can be bucketed into "right" and "wrong." Tough problem!
mattas commented on AI Adoption Rates Starting to Flatten Out apolloacademy.com/ai-adop... · Posted by u/toomuchtodo
Not to be lost, but the first chart is actually a 3-month moving average. Surprised they buried that in the notes and didn't simply include it in the chart title. "Note: Data is six-survey moving average. The survey is conducted bi-weekly. Sources: US Census Bureau, Macrobond, Apollo Chief Economist"
mattas commented on Peter Thiel sells off all Nvidia stock, stirring bubble fears thestreet.com/investing/p... · Posted by u/hypeatei
The market can stay irrational longer than even Peter Thiel can stay solvent.
It feels like this same sorta thing happened when the internet became mainstream. Curious if LLMs are _better_ at fighting information asymmetry.
mattas commented on Amazon confirms 14,000 job losses in corporate division bbc.com/news/articles/c1m... · Posted by u/mosura
It’s worth noting that they are offering folks the opportunity to find a new role internally. It’s layoffs with a touch of reallocation of people to more important projects.
I'm not excited about having LLMs generate spreadsheets or formulas. But, I think LLMs could be particularly useful in helping me find inconsistent formulas or errors that are challenging to identify. Especially in larger, complex spreadsheets touched by multiple people over the course of months.
I’m pretty certain AI quadruples my output at least and facilitates fixing, improving and upgrading poor quality inherited software much better than in the past. Why pay for SaaS when you can build something “good enough” in a week or two? You also get exactly what you want rather than some £300k per year CRM that will double or treble in price and never quite be what you wanted.