(I've used modern Gemini 3.1 pro & claude too. Modern ChatGPT is just as useless, I've never heard a human speak in points. The human brain never encounters that irl.)
4,955 karma · joined June 26, 2021
Email: 75hch07e@duck.com
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(I've used modern Gemini 3.1 pro & claude too. Modern ChatGPT is just as useless, I've never heard a human speak in points. The human brain never encounters that irl.)
Fwiw, I didn't mention it because of your writing style at all, I wrote it because you literally said
> Couldn't sit still.
Also, for anyone curious, drug use and being in prison is much more common amongst adhd folk than the general population. A staggering 25% (approximately) of prison population is ADHD [1], far higher than the general population.
(Yeah, armchair doctor and all that. But doesn't make it wrong or at least worth a look.)
Source: 99% of oleds cause terrible eye strain. Flicker affects people even when they don't realise it (studied for office workers during the CFL era iirc.)
(I'm from a 3rd world country and have seen it over and over again.)
If someone said "I asked ChatGPT to make a safe Flipper One and pasted it", I'd believe it. Some stuff here... just doesn't make much sense.
It's even possible to directly link this to maintainers/employees - if you can review 10 such AI/real things per hour (likely more if it's AI slop that's easy to detect), you're generating another revenue stream. Now, I have no idea if these guys are based in SF Bay or a 3rd world country with low COL but as an "add on", $100 an hour isn't too shabby (and can be on the "low end" if one's good at spotting AI crap.)
Side note, isn't it possible to have some way to verify if the "vulns" are actual vulns or not? ...Heck why not throw an LLM at it, powered by a single $10 submission fee?
Do stochastic parrots dream of the number of 'e's in "electric sheep"?
That's why I'm still cautiously optimistic about LLMs somewhere being good enough. I don't know if or when someone will manage to do it, but I'm hopeful.
Which reminds me that that's another big issue with LLMs - they'll blindly do whatever you ask them to, without pushback. (Again, I miss 3.5/3.6 era Sonnet which actually had half a spine. Fuck anthropic for blindly chasing coding benchmarks at the cost of everything else.)
I've engaged in several "CMVs" (or "tell me why X is bad") with LLMs, and very often it's clear it's just saying stuff to say it, giving very terrible points on unjustifiable positions that collapse the moment I counter argue even slightly rationally.
Imo this is the single biggest flaw of LLMs. They're great at a lot of things, but knowing when they're wrong (or don't have enough information to actually work on) is a critical flaw.
IMO there's nothing structural about why they shouldn't be able to spot this and correct themselves - I suspect it's a training issue. But presumably bots that infer context/fill in the dots rank better on what people like... at the cost of accuracy.
(I personally think it's okay to be amused, even if it's thanks to dead people. I don't think any mother would really mind too much.)
Better luck next year... I guess?
I think your premise is significantly correct; things like launch HN (and even YC startups) are heavily software biased. I suspect you'll find about a hundred product hunt products for every physical kickstarter/indiegogo.
While true, unless I'm mistaken, markers (I assume you're referring to tags) can be nested to provide a pseudo-folder hierarchy, and with proper filters you can remove the "inbox" tag and have the mail only show up under the specific tag.
TBH I don't fully mind it, it lets you classify an email in multiple ways (eg "See Later" as well as "Work related").
A lot of market forces tend to "naturally" create monopolies/oligopolies. For eg if you're the biggest steel plant you can operate efficiently and keep moderate margins, beating any plants not as big (economies of scale). An independent guy (or even the entire team) can't just open a new steel plant shop down the road, even if the current one sucks.