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 toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
Any conversation
Excited about these news! I am on Friday, going to stay for a while to work on textlog among other things. Happy because I was getting a bit depressed lately living in the mountains in Crete.
Crazy what happened earlier; one the cats here โthe one Iโm closest withโ started unexpectedly meowing outside wanting to get in, I let it in and it started licking me like never before, as if she sensed Iโm leaving in a couple of days, canโt explain it otherwise.
Any shows recommendations? I have no idea what is worth watching (since I rarely watch shows) so now Iโm watching The Mentalist from 2008. They had flip phones then.
Overvalued, maybe. Extremely valuable, yes, though.
For sure. We're well past the point of being able to reasonably claim that the tools have no practical use.
But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.
Tomorrow no but there will always be the โhopeโ which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it wonโt really matter, weโll be adjusting our lives around it as well so we meet in the middle.
Tesla has been overvalued for over a decade with the promise of โfully autonomous carsโ and itโs still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).
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I was curious of testing the Omarchy distribution this week just because I had some free time to work on it. I saw a lot of hate around it and kind of get the point but so far at least for what I have been doing it wasn't terrible (at least at the point of writing this) although I am not trying to convince anybody to use it. But it just remember me how much do I hate MS.
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.
a Gemma 4 a Google tulajdona, nem tรกrol mรกs adatot, csak amirลl a gรฉpen fogom a Rezsล nevลฑ OpenClaw รผgynรถkรถt kรฉrdezgetni, helyileg azt sem itt tartja, hanem a felhลnek csรบfolt infrastruktรบrรกban, ami legvalรณszรญnลฑbben valamelyik brazรญliai esลerdลben foglal helyet vagy Finnorszรกgban
Gemma 4 is owned by Google, it doesn't store any other data, except what I'll ask the OpenClaw agent named Rezsล about on the machine, it doesn't keep it locally either, but in the infrastructure mocked as the cloud, which is most likely located in a Brazilian rainforest or in Finland
