Apa kabar dunia?
Any conversation
I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as tools—fit for a purpose, ergonomic—is becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
például Telegram, Facebook, stb., de ilyen ügynökökkel bárki találkozhat naponta, egyből felismerhetők, meg is kell őket szépen jelölni, és egyre bénábbak a szövegük is, ahogy megfigyeltem, gondolom, attól függ, ahogy promtolják, vagy instruálják őket, ha a gazdájuk kifogy az ötletekből, a projekt hamar elfárad, a bot csak unalmas h#lyeségekre képes egy idő után
for example, Telegram, Facebook, etc., but anyone can encounter such agents every day, they are immediately recognizable, they need to be nicely labeled, and their text is getting lamer and lamer, as I have observed, I think it depends on how they are promoted or instructed, if their owner runs out of ideas, the project quickly gets tired, the bot is only capable of boring nonsense after a while
Yesterday I with help from the clanker, as an experiment, ported a web app from go+postgres+svelte to ari+duckdb+htmx served locally by busybox httpd. It’s an analytics “dashboard” so the stack makes sense. So far looks good. Now I work on the code in vim to make it mine. I want fewer layers of abstraction and less complexity, and this is a learning experience to that end.
Developed a Vinboard (my pinboard.in clone) shortcut, works really well. On iOS it lives in Share menu, on macOS in the Dock. Click sends the current browser page (Safari, Chrome, Zed, Firefox) for bookmarking. On the server side Jev decides tags from 60 least recently used; and archival opens a real Chrome to save the whole page for posterity.
Unlimited API limits and direct requests to the database.
Pinboard charges for much less functionality $22/year.

