Repple (she/her)

Yeah it really feels like an LLM should work better than a phone tree for that, but every time I actually encounter one it’s so so much worse.

We were doomed the instant we invented autoclippers.

As always, Star Trek knows what’s up:

The speed of technological advancement isn’t nearly as important as short term quarterly gains. - Quark s4e7 (little green men)

If it’s concentrating solar, those things are literally an eyesore. Shit’s bright.

Assuming it’s tz database timezones then they can be relatively specific. Since the slices are based around laws governing current time, there’s hundreds of slices rather than just a couple dozen. https://en.wikipedia.org/wiki/List_of_tz_database_time_zones Alongside things like keyboard downloaded it means you can be uniquely fingerprinted (or close to unique) pretty easily, which means they can then associate all sorts of other information with you

4.6 Opus was a huge jump from earlier models and the first that was actually useful for things like this from my experience (and 4.7 is significantly worse for some reason).

I have made many anti-LLM posts here and I remain pretty negative on them, but they have absolutely become useful. Part of the problem is the truth is really somewhere between the insane promises and the dismissals.

My problems are many fold though, from being propped up by insane subsidies, the massive power usage to the thing I most care about: taking more power from the masses. The more useful they get, the more power gets concentrated to those able to afford the data centers.

Computers used to be at least somewhat democratizing, sure there were some things like weather modeling that an ordinary person couldn’t do, but a random person on thier computer could put something together to change the world.

What happens when the breakthroughs are available only for the wealthiest? Regular folks can buy tokens at a reasonable price today, but running cutting edge models on consumer hardware isn’t really feasible. We’ve ceded too much control.

Was probably being too literal. Handbrake turns aren’t fishtailing and while I’ve only ever done them to mess around, they’re also used in rally and whatnot

Edit: I searched and while I always heard fishtailing used for uncontrolled rear slippage, it seems it can also just refer to oversteer? Didn’t know

…what about handbrake turns?

Thats a pretty good attitude. I have unfortunately been forced to use as much as possible for work for over a year. On the one hand Claude opus 4.6 is really a massive improvement to what I was using at the beginning of last year, which is honestly a scary trajectory.

On the other, I still don’t have any trust at all for production code as I see far too many errors. I can pump out rapid prototypes way faster than before, (and I was always very very fast at that) but I learn less from them. I still feel like using the LLM is like stealing from the future. For the most part I need to do the actual work eventually, understanding the code takes as long as writing it, and fixing takes longer.

Where I find it really useful is exploratory. It errors a lot but has compressed essentially the whole of human writing, so I can ask about approaches to specific problems and find apis and techniques I wouldn’t necessarily have found before. It still hallucinates an api more than once a day for me, but as long as you check it that’s something.

I still don’t think the revolution is here. It only feels like it could be because it’s been subsidized to hell and back, and I am terrified of the human cost: insane data center use, the economic toll of bubble popping (which of course will be felt by the masses), all the layoffs, and what happens to humans when we offset thinking rather than just memory to computers. There’s gonna be a lot of pain in the coming years

Same. There’s reduction in workforce, pressure to move faster, and no good way to do that without sloppiness. I have never been this down on the industry before; it was never great, but now it’s terrible.

Yes. It’s also cheaper

The remote models are but the on-device ones were trained by apple

I’d prefer pigeons. https://www.smithsonianmag.com/science-nature/pigeons-can-spot-breast-cancer-medical-images-180957323/

Yep. LLMs are exceptionally good at picking up the biases in the formation of your questions and running with it. Super annoying

What? The term FUD has been around since at least the 90s, though I think significantly older than that

Grok probably recommends it when prompted for something completely innocuous

If nunneries are as gay as I always imagined in my head, I’m in.

Exactly what I don’t want from a car. I want fewer features implemented better, higher build quality, and zero connectivity.

Humans aren’t mature enough to have an internet. It was a mistake; can we take it back??? Maybe we’re mature enough to have standalone computers… maybe.

I’ve used it extensively almost all my life. I love it. But I have largely stopped since the advent of LLMs. I’ve also changed my uses of bullets. I will now rarely do a flat bulleted list. I will either write sentences or do a nested list.

I don’t think those things are bad, but I see them so much in llm writing that they have, for now, become ugly to me.