It is evident that the use of AI in the workplace has had an immense impact on the awareness and mental capabilities of knowledge workers
Any conversation
Made this globe/world map UI night-map.surge.sh and I like it.
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
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.
I never have enough time but Iโd love to do a bit more recreational programming with esoterical languages like kitten, , and . AoC and Project Euler are good because they just require an answer but thereโs also loads of simple puzzles online that rely on being able to submit the code in common languages. Iโve been wondering, however, if I could use an LLM to take those problems and create a verification harness for any language I like.



