mywittyname
Joined 11 years ago
Joined 11 years ago
So the median developer is probably using 5-20 agents at a time for a task. I'm not sure if that crosses the threshold of being a "fleet of agents".
And I'm probably on the more amateurish end of AI development. As I learned these techniques from YouTube.
When you hear about the work Anthropic researchers are doing, they seem to be using hundreds or thousands of agents to solve problems.
Also, any of this can happen to you even if you're a lawful citizen.
The situation in the USA is dire and it's going to get, much, much worse.
Especially give how good recompilation projects are anymore.
Also, it would be interesting to see these absolute figures as a percentage of overall income.
We rarely imprison the people who actually deserve it. Even when we do, it's barely a punishment if the person is wealthy.
Our jails are full, but a lot of that is we harshly punish mundane crimes against people with no real ability to defend themselves. And that's mostly because the grift of for-profit prisons.
Just like how Apple Pay is less friction for online purchases than entering my credit card info is. Take that a step further where Apple can supply personal information JIT for shipping.
Yeah, the workflows need manual overrides for things like different billing vs shipping addresses, etc. But the happy path can be streamlined.
To be fair, this is a really common myth. Unless you actually read the BLS methodology, you wouldn't have known. And in most places, anyone attempting to combat this myth is met with down votes.
The BLS does document their process in detail on their FAQ [0].
This might not match your experience because your family doesn't shop the same basket of goods the families the BLS surveyed do. There are also regional variations in the prices of goods. Even store prices in the same region vary. All of these variations get averaged out.
This is why you can't extrapolate from n=1.
Immigrant doctors may also hate working at these facilities, but the prospect of raising their family somewhere in the USA is a huge value add for them.
I mean, sure, I could have predicted in what ways an LLM would fuck up, but there's just so many ways I can't keep up.
We just had a major production issue because someone's LLM wrote queries against dev databases. Which are very obviously dev databases because they are labelled with dev in the name, and in the table descriptions. AI reviewer didn't catch it, neither did the human reviewer for that matter.
And this unaccountability is transitive. The amount of time I've seen people successfully justify issues based on the fact that Claude/Astra/Codex wrote it is absurd. And it comes from the top.
We've had AI ship made up data to clients and tech leadership was like, "haha, that's AI for you."
> If you’re toying around, LLMs do a great job.
This too. We have a lot of business guys that develop tools with Claude that look like they work, then tech team gets pressure to deploy them immediately, because they assume that everything must be a prompt away. It's not (though, we do have some wizards on the team who make this true enough).
> AI overdose is a thing and it directly puts an expiration date on your skill set.
Agreed. But I'm not in a position to push back. It's not just managers, but tech leadership who are all in that on the fact that humans shouldn't program anymore. I still fully believe that I'm better than Claude / Astra in my specific domain, but people give me a hard time when my PRs contain what look to be human-generated code.
Overall, I agree with the article, but I'm still pretty sure I'm falling behind in my apprehension to fully trusting Claude/Astra and not giving into the approach of burning millions of tokens daily to generate PRs so large they break github (two of which I approved today).