UltraLutra

7 ms·

1.
by UltraLutra 1y ago
It’s not bad for summarizing or translating. I like categorize AI outputs by prompt + context input information size vs output information size. Summaries: output < input. It’s pretty good at this for most low-to-medium stakes tasks. Tra
2.
by UltraLutra 1y ago
* And you’re probably costing Anthropic >$1k in inference costs per _week_. Not >$10k. Typo.
3.
by UltraLutra 1y ago
> Claude is simply too good at coding in well-represented languages like Python and Typescript to not pay hundreds of dollars a month for (if not thousands, subsidized by employers). I think the cost is more in thousands to cover inferen
4.
by UltraLutra 1y ago
From CS folks I’ve talked to, the experience isn’t better than getting a human on the other end immediately. It’s better than not being able to reach a human (e.g. outside support hours). Otherwise, the argument I’ve heard is “the quality i
5.
by UltraLutra 1y ago
It’s cute they think managers are evaluated on the quality of their employee performance review. I don’t disagree with the content. A well-thought review will help employees perform better. AI can’t create a good performance review from who
6.
by UltraLutra 1y ago
> …so it is hard to explain why their kids would be better off knowing something they don't need. Math is full of extremely useful concepts that aren’t otherwise obvious. To me, it’s less about “I’m going to need to use this equatio
7.
by UltraLutra 1y ago
Yep. I work in finance. There are a ton of things like this that are just convention. Like treasury bonds being priced in 1/32nd increments. It probably made sense at the beginning, doesn’t now, but the whole market is built around the
8.
by UltraLutra 2y ago
I'm not in anyway an expert, so I googled what some research says. Here's an interesting meta-analysis ( https://link.springer.com/article/10.3758/s13423-023-02303-4 ). Memory and creativity are a lot more