Spotted this Royal Air Force A400 over the lake yesterday, it was so different from civil planes www.planespotters.net/โฆ/zm420-royal-air-force-โฆatlas-c1-a400m-180
Any conversation
pรฉldรกul Telegram, Facebook, stb., de ilyen รผgynรถkรถkkel bรกrki talรกlkozhat naponta, egybลl felismerhetลk, meg is kell ลket szรฉpen jelรถlni, รฉs egyre bรฉnรกbbak a szรถvegรผk is, ahogy megfigyeltem, gondolom, attรณl fรผgg, ahogy promtoljรกk, vagy instruรกljรกk ลket, ha a gazdรกjuk kifogy az รถtletekbลl, a projekt hamar elfรกrad, a bot csak unalmas h#lyesรฉgekre kรฉpes egy idล utรกn
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
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 notice that language models are much better at programming than at writing. This is largely because, in programming, they have a closed feedback loop that allows them to find errors. Writing is much more complicated because the feedback is much more diffuse and delayed over time. In fact, it is often not well-defined.

