strange_quark

6 ms·

31.
by strange_quark 6mo ago
> In fact I see this pattern a lot. People use LLMs for stuff within their domain of expertise, or just ask them questions about washing cars, and they laugh at how incompetent and illogical they are. Then, hours later, they will happily
32.
by strange_quark 6mo ago
CFOs or VPs absolutely benefit by hyping their company up to private investors by allowing tokenmaxxing to go on unchecked. Tender offers, acquisitions, and aquihires all exist. Or just good old fashioned resume padding by saying you "
33.
by strange_quark 6mo ago
No, it works for any VC-backed companies. Something like 60% of VC funding last year went to AI companies. VCs aren't going to give you a money unless you're building an agentic AI-native agent platform for agents.
34.
by strange_quark 6mo ago
Wasn't it already confirmed that small open-weight models were able to detect most of the same headline vulns as mythos? How is this any different?
35.
by strange_quark 6mo ago
Management doesn’t care. This sort of thing is becoming more common at my workplace too. More outages, more embarrassing bugs, even bugs that leak customer data. The solution is always more AI, and if you’re still shipping bugs and causing
36.
by strange_quark 6mo ago
In case it wasn’t obvious, I was being facetious. You can’t just let the AI rip without putting effort into constructing good input and verifying the output and expect anything good to happen, which is what the gp was asking. There’s no sec
37.
by strange_quark 6mo ago
I mean, why do you think people are burning out?
38.
by strange_quark 6mo ago
If if this person really is a distinguished engineer, then they are part of leadership and it's their responsibility to set realistic expectations. Leadership knows this, they just don't care and won't care until the job mark
39.
by strange_quark 6mo ago
I agree with you, it’s mostly hype. But it doesn’t really matter whether it’s true or not because the vibes are clearly bad. These execs keep “warning” us about that AI will take all the jobs then keep pouring more money into AI, the press
40.
by strange_quark 7mo ago
I’m struggling to see how anything he did is AI at all. Literally everything about his company is outsourced to an army of contracting firms. All this guy did was generate a marketing site that was filled with fraud.
41.
by strange_quark 7mo ago
Reads like an extended slop LinkedIn post. The author poses a question with an obvious answer yet answers with the most galaxy brain take possible while dropping in some academic concepts to make themselves sound like a thought leader despi
42.
by strange_quark 7mo ago
Last year Flighty literally saved me from an overnight delay because it notified me the incoming aircraft was still on the ground at the previous airport. I was able to snag the last couple seats on a later scheduled flight which actually d
43.
by strange_quark 8mo ago
We're all trying to find the guy who did this!
44.
by strange_quark 8mo ago
Right, there are dozens of open source versions of wikis/task trackers/CRMs/ERPs/whatevers. Just because you can vibecode your way to a bad version of a bunch of SaaS products shouldn't fundamentally change anything
45.
by strange_quark 8mo ago
The timing of the Claude Code guerilla marketing campaign that seems to have started around new years is now making much more sense.
46.
by strange_quark 8mo ago
Probably yes? Definitely. See also articles like this one [1]. These guys all run in the same circles and the groupthink gets out of control. https://www.semafor.com/article/04/27/2025/the-group-chats-t..
47.
by strange_quark 8mo ago
Their scale is like 2000 cars…
48.
by strange_quark 8mo ago
> Wait, you're completely skipping the emergence of reasoning models, though? o1 was something like 16-18 months ago. o3 was kinda better, and GPT 5 was considered a flop because it was basically just o3 again. I’ve used all the lat
49.
by strange_quark 8mo ago
ChatGPT 3.5 was almost 40 months ago, not 24. GPT 4.5 was supposed to be 5 but was not noticeably better than 4o. GPT 5 was a flop. Remember the hype around Gemini 3? What happened to that? Go back and read the blog posts from November when
50.
by strange_quark 8mo ago
The absence of evidence is evidence in its own way. I don’t understand how there haven’t been more studies on this yet. The one from last year that showed AI made people think they were faster but were actually slower gets cited a lot, and
51.
by strange_quark 9mo ago
Don’t forget they’ve also publicly stated (bragged?) about the monumental accomplishment of getting some text in a terminal to render at 60fps.
52.
by strange_quark 9mo ago
So… next week then?
53.
by strange_quark 9mo ago
History is littered with challenger companies chest thumping that they’re never going to do the bad thing, then doing the bad thing like a year later.
54.
by strange_quark 9mo ago
When the radiation burns out a GPU, just dump as much heat into it as possible and yeet it into the atmosphere. Ez.
55.
by strange_quark 9mo ago
It’s a framing device to justify the money, the idea being the first company (to what?) will own the market.
56.
by strange_quark 9mo ago
It feels like covid turbocharged it though. The amount of grift outright corruption is unrecognizable compared to even 2019. Maybe it was always there but it feels like companies have gone full mask off now.
57.
by strange_quark 9mo ago
I’d take it even further: I want to see the prompts! I’ll concede we’ve arrived at a point where the coding agents work, but I’m still unconvinced they’re actually saving anyone time. From my AI-pilled coworkers, it appears they’re all spen
58.
by strange_quark 9mo ago
He and SBF are both big into effective altruism, and SBF gave Anthropic their seed funding, so yeah, that checks out.
59.
by strange_quark 9mo ago
It’s pretty interesting, but maybe not surprising, that AI seems to be following the same trajectory of crypto. Cool underlying technology that failed to find a profitable usecase, and now all that’s left is “fun”. Hopefully that means we’r
60.
by strange_quark 9mo ago
Kudos to them for publishing this. Yes, yes, all the usual caveats of these were juniors, small sample size, etc, etc. But this is result is hardly surprising. It's just funny the juxtaposition of their CEO at Davos saying software eng

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