f3b5

For what it's worth, I use Firefox for 10+ years now for web development, and in my opinion their tooling is actually superior to Chrome. Small example: if I just want to test visual responsiveness of a page at different breakpoints, Firefox lets me close the bottom toolbar and just play around with the top window. In Chrome I need to keep the bottom toolbar open the whole time, cluttering my screen, because if I close it the whole devtools closes too.

I was such a big sqlite fan that I used it for my data-intensive startup. Once I actually started scaling it up I ran into crippling file system race conditions. This was because we were hosted on a distributed file system in the cloud which I learned is very very bad for sqlite.

So I had to migrate the production db under live load from sqlite to mysql which was a quite ...intense week. I still like sqlite but I'd be wary of using it again for a usecase like mine.

OP here. Our marketing head Stephanie talks about three interesting observations that she's made working with AI: that good prompting isn't good enough, how annoyingly PC Claude is, and the effects of AI cannibalization on future training data. On a meta-level, this is the first part of a series where we're betting on a human writer instead of slop

Some of those might be AI accounts that found an ambiguous topic for upvote farming.

Socrates allegedly was opposed to writing since he felt that it would make people lazy, reducing their ability to memorize things. If it wouldn't be for his disciple Plato who wrote down his words, none of his philosophy would have survived.

So I'm not completely disagreeing with you, but I also am not too pessimistic, either. We will adapt, and benefit through the adoption of AI, even though some things will probably be lost, too.

Depending on the use case, a 10% failure rate can be quite acceptable. This is of course for non-critical applications, like e.g. top-of-funnel sales automation. In practice, for simple uses like labeling data at scale, I'm actually reaching 95-99% accuracy in my startup.

While this is a pretty cool hardware project, I would be quite annoyed to be your partner. No offense, but it almost reads as satire that you want to flash LEDs in every corner of the house if your wife doesn't look at her phone notifications quickly enough.

Very fascinating, I tried doing the same years ago with a simple Markov chain model. The biggest problem back then was inconsistency. I'd love to read a chapter of the Minecraft or hard magic / sci-fi books to check out the writing.

An intent-based Linkedin B2B lead finding tool that evaluates tens of thousands of comments in small thematic niches to find prospects that have a certain problem, and are actively looking for a solution. I just finished building the backend side of the tool, and released it to a group of early customers to find out how well it performs. It's a really fun engineering problem to cut through tons of spam, bullshit, and hustle porn, and find the few gold nuggets in the comment sections.

In central Europe our biggest tarpit are sustainability / climate topics. Even founders that are smart enough to realize the difficulties still pursue these topics because of an unfoly feedback loop where government agencies almost exclusively fund those "societally important" areas. There's no other risk capital available so most founders align their goals, just to fold 1-2 years later.

> I sincerely doubt that anything great in the history of humanity has been built in the post-lunch afternoon

Interestingly, late afternoon is the time that I am most productive when coding. At 6pm when work ends I often feel that I could easily go on for another few hours