dotinvoke

My experience with AI tools is the opposite. The biggest energy thieves for me are configuration issues, library quirks, or trivial mistakes that are hard to spot. With AI I can often just bulldoze past those things and spend more time on tangible results.

When using it for code or architecture or design, I’m always watching for signs that it is going off the rails. Then I usually write code myself for a while, to keep the structure and key details of whatever I’m doing correct.

A mobile keyboard—limited as it is—has no trouble producing an em-dash, requiring little more than a long press on the - button.

It makes no sense to go looking to the past for the ultimate health diet, ancient people had life expectancies of like 40.

I’ll admit that I struggle to read their Byzantine pricing tables but that is $15 per 1k searches, right?

What is your preferred alternative?

Brave does not permit you to store search results unless you opt for the $26/mo plan.

I emailed them about it and that policy applies to storing any data derived from search results as well.

Those old homes are usually used as storage for things that don't fit into their new, urban homes. The market value and taxes are low, so there's no point in selling.

Then eventually, without realizing, you have gone there for the last time, and there's nothing left to move to your new home.

Alternatively, the last old person who lived in the house dies or goes into a care home, and their kids (if they have any) never find the time to clear out the old place. There's no one to sell it to, anyway, so they have all the time in the world.

I had the same idea, but now I a Postgres database that has very high latency for simple queries because the CPU is busy building large HNSW indexes.

My impression is that it might be best to do vector index construction separately from the rest of the data, for performance reasons. It seems vector indexes are several orders of magnitude more compute intensive than most other database operations.

I built a service that turns entire websites into structured output: https://sitewideai.com

You enter a starting URL, describe the data you want in a prompt, the AI suggests columns for the output spreadsheet which you can customize, and then goes off and turns the website into structured data into a CSV file.

It also supports limits, you can say for example "visit at most 100 pages" and it will stop after 100 pages.

It was easier said than done to get prompts working as intended and the crawler to focus on the most relevant URLs first. As always, the final 20% end up taking up 80% of the development time.

As a long-time Audible subscriber, I’d estimate that I skip 1 in 3 books because of the narrator’s voice or bad recording setup.

Why not just feed that information back into the algorithm itself?

I read it before on Twitter, it’s probably adapted to fit into the 280-character limit.

Job switching should be less of a problem with a 12% unemployment rate, though.

Greek workers have the option to work in any of the 27 EU countries, and a few non-EU countries like Switzerland and Norway.

Given that there is a shortage of skilled workers prompting this policy, it makes little sense to allow employers to demand more unpaid overtime of workers. That just means more Greeks working outside of Greece.

Greek workers already work more hours than any other EU country while making basically no money, so making Greeks work even more hours should probably not be a government priority.

Removing needless regulation and speeding up government permits would be a better idea.

Now that people are training AI models for video this might actually be worth something as training data.

I live in a country where software engineers often have engineering degrees.

What that means in practice is that they study math and physics for the first 2-3 years of their degree, instead of computer science or software engineering.

Does that make them build better systems than Californian devs? Based on company revenues and salaries, I’d say no.

This is the first I'm hearing of LLMOps, please elaborate a bit on what it entails. How does it provide guardrails?

This is on brand for him, he's been voicing his skepticism of LLMs for a long while now.

This is the first time I’m reading of this, why?

>I’d rather have a lower priced item

That’s what every customer wants. But game companies that sell at $3.99 don’t tend to release many high-quality sequels.

Chrome has good reason to use multiple processes, but criticism of Chrome doesn’t necessarily apply to Electron apps.

The complaint that Chrome eats all your RAM is because it starts a new process for each tab, with all the overhead that entails. You’re not using multiple tabs in an Electron app.

I was one of the last people in my class to get a phone, which taught me that not having the cool new thing was not nearly as bad as I had thought.

Credentialism has certainly gone too far in many fields, but I’d still like my doctors, lawyers, and engineers to have more than 30 days of training in their field.

Well, yes, but the system filters definitions based on part of speech. For example, you don't want to show "to guide or conduct" (lead, verb) for a sentence talking about the metal lead (lead, noun).

In this case, unserem was assigned the part of speech determiner by the NLP pipeline (shoutout to https://stanfordnlp.github.io/stanza/, it's brilliant), but the dictionary only has an entry for unserem as a pronoun.

Perhaps a better design is to always show all entries, and just put the entries whose POS match the word in the sentence (if any) above the others.

Thank you for checking it out!

That is not the intended behaviour, but happens sometimes when the NLP pipeline and the dictionary don’t agree on the part-of-speech of a particular word.

I’ll have to run a script identifying all such cases in the built-in decks and most likely correct them by hand.

Happy to hear any other thoughts or issues so I can make it better :)

I’m working on https://langible.com, a language learning app intended to be fun like Duolingo and effective like Anki.

Would love to hear any feedback thoughts!

More wind and less urban heat island effect would keep the temperatures more reasonable, I think.

If Reddit has stored historical mod actions, they could probably train an AI mod that mimics the behavior of the existing mods. Mods have much less leverage than they did 5 years ago.