lqstuart · HackerTrans

lqstuart

255 karmajoined 4 yıl önce

comments

15 gün öncediscuss

Not sure what you’re getting at, is that too many or too few? Terraform, building grafana dashboards, building internal UIs, provisioning the networking and dealing with security groups and routing tables, IT stuff like MDM/SSO/OIDC, not to mention the entire data and ML infra is easily 10 engineers. And in a startup they’d all be juniors and do an even more terrible half assed job than Claude. These are all very well established fields with ample documentation online, and honestly pretty simple tasks as long as you have senior people to feed it a design that isn’t stupid.

16 gün öncediscuss

I’m at a very fast growing startup with real revenue and Fable has let us avoid hiring probably 6-10 full time software engineers with full salary and benefits. We’re spending nowhere close to that. I’m the hiring manager and I’m closing the reqs.

So.. great news for Anthropic, I’ll go ahead and let the elephant in the room go unaddressed

21 gün öncediscuss

how do massively negative margins "collapse"

geçen aydiscuss

I think the gap here variation. Yes, people living 50,000 years ago were likely quite similar to _some_ people alive today, just probably not very similar to the types of people who are able to peacefully sit around on the internet and read history books for pleasure, who would most likely ask that question.

geçen aydiscuss

I feel like the real news story is kids protesting against school being closed

2 ay öncediscuss

It’s almost like they’re interchangeable. We need to start asking these models to solve extremely difficult, contrived DSA coding questions before deciding which ones we employ

2 ay öncediscuss

I really like your core point. I don't know anything about Suno and that's what people are picking at, but I'll offer a supporting example from pre-LLM days: the number of people who were actually willing to dig through source code was nonexistent. I've worked in ML/AI since forever and I would say roughly 1 in 5 to 1 in 20 developers I've worked alongside were actually willing to just go to Github and look up why code might be failing and get to the bottom of it.

The same is true for LLMs. You can get Claude to spew 2,000 lines of garbage in 15 minutes, but the number of developers actually willing to sit there and reason over the output and make the tweaks--often very minimal tweaks--that make it go from 90% correct to 100% correct are vanishingly few. And it's typically just laziness and a lack of any kind of genuine interest in the field.

2 ay öncediscuss

MSFT is also forcing its subsidiaries to “lean into AI” so that they can fire people to cover for Satya’s bad investments

2 ay öncediscuss

Maybe one of the scientists who cashed out 8 figures will file a suit that OpenAI has wronged them by depriving them of the joy of working

2 ay öncediscuss

This is really cool. One of my favorite parts of the internet is getting to see these kinds of projects by people who aren't afraid to tear into stuff and take it apart and put it back together.

But you do all that for privacy... and then you use CarPlay?

3 ay öncediscuss

it hurts how true this is

3 ay öncediscuss

Because LLMs fuck it up near-constantly and I need to review it

3 ay öncediscuss

Not long ago I started having an issue with my eye. I called around and they said I should get seen ASAP, same day if possible, but it wasn’t worth the ER and it was a five day wait for an appointment.

I was pretty freaked out. During that time, I tried diagnosing it with AI. When I finally got to the appointment, the actual doctor sat down, looked at all the unremarkable images, asked me one (1) question, ordered another image and diagnosed the issue. When I looked back, in all that time, the AI had mentioned it exactly one time early on, ruled it out immediately based on a flawed understanding of the symptoms, and never brought it up again.

Just my anecdotal evidence, but I’d never trust any AI on its own. My doctor can use it if they want, I can’t.

3 ay öncediscuss

It’s the ER. People aren’t always in a position to “chat” when they go there.

3 ay öncediscuss

They both suck, but one of them literally harvests organs from political prisoners.

I’m honestly torn on which one I’d pick, but there’s a TON of likely state-sponsored pro-China propaganda on the internet, so I consider it a patriotic duty to push back for the sole reason that we can still freely talk shit about the one (for the time being, as long as you don’t mention the blessed martyr Charlie Kirk), whereas the other blocks the internet and imprisons people for dissent.

3 ay öncediscuss

Too bad they don't care so much about factory worker safety or slave labor

3 ay öncediscuss

I had a TI-89 in high school. I was that kid.

3 ay öncediscuss

The “$500B AI labs” are also predominantly ~200 person Chinese teams…

3 ay öncediscuss

Buried pretty deep in the article

> “The raw output of ChatGPT’s proof was actually quite poor. So it required an expert to kind of sift through and actually understand what it was trying to say,” Lichtman says. But now he and Tao have shortened the proof so that it better distills the LLM’s key insight.

I guess “ChatGPT came up with a novel approach to a problem that later turned out not to be totally stupid and terrible for once” isn’t as catchy of a headline

3 ay öncediscuss

What do you call the law that you violate when you vibe code an entire website for "List of 'laws' of software engineering" instead of just creating a Wikipedia page for it