the only competitive edge for someone like me who wants an api to call is price
2,158 karma · joined June 15, 2022
the only competitive edge for someone like me who wants an api to call is price
the generalists win overall, except of course for specific cases where specialists are great
a 41% improvement is not much higher? come on that's just doomer
It's not that it's necessarily complex. But if you don't need it, don't use it. The business could use your time elsewhere
AI probably exacerbates it but crappy managers exist regardless
The problem is, a lot of the parents have bought into the digital parenting age too. They were told ipads etc were part of getting the best education for their kid. Now they're fighting hard on rolling it back (not least because they can't comprehend that it's a problem, that their child can't focus 5 minutes without a device)
American actor and rapper > 984 strength · Top 1%
MLB catcher for Dodgers > 255 strength · Top 25%
isn't this proven to be true? better for the country, worse for a small amount of directly affected people?
since when? do you think their R&D in 2026 is the same as in 2022?
Just 10x your revenue without increasing R&D cost? where's this 1 magic trick and why can't every company just use it?
And the feedback dashboard I always wished existed, with plenty of integrations, low pricing, prioritization + clustering, and auto-PRs
The article is writing as if Amazon did a complex analysis and then reported it.
But the latest reporting id read was it was not a jailbreak, and reported by the ceo (not the old technical CEO btw, the new bizdev guy)
Yeah I go back and forth using more or less sessions. Was always a fan of kanban, less WIP better, but some sessions are just slow so I end up starting new ones.
You've probably talked about this before, but with AI speeding up product "delivery" (especially prototypes), what changes have you seen to the lean startup methodology? Is it possible to supercharge the build measure learn loop?
And what good uses for AI have you seen to keep teams "building things people want"?
Haven't heard about since ages ago when it was extremely slow
I usually have 5-10 sessions open so am used to getting some investigations going, coming back 5 minutes later and checking recommendations. This time I just got the fixes. Like I said, so far so good with the results, but it's a mental model shift.
Might need to tune claude.mds if it gets annoying
Also this is going to cause serious whiplash when they remove it from the subscription plan in a couple of weeks. I know I'm not going to suddenly move from $200/m to usage credits
to me ladder pulling would be:
- web scraping for model training becomes illegal, with heavy punitive penalties
- training models above a certain compute threshold requires government licensing
- expensive third-party audits are required before deploying models above a capability threshold
to be clear, I'm not saying what they did in scraping to learn was ethical. It wasn't. But I just don't see it as pulling the ladder. The ladder is still there.
if it's 99.9% comparable performance for less money I'm interested, but I'm skeptical it's there