I've written a small persistent agent wrapper for agent.py. I'm impressed with how well it works. I feel like a CEO issuing global memos to all my agents after reading their status reports.
Any conversation
hรกt, jรณ, รฉppen telepรญtem a Windows 11-et, most jรกrok kรถrรผlbelรผl annรกl az รฉrdekes rรฉsznรฉl, hogy a TPM 2.0-รกs processzor-izรฉ egy Rufus nevลฑ programmal elvileg szoftveresen kivรกlthatรณ, meg hogy a windows 1125H iso-t kell beletรถlteni egy minimum 8 GB-os pendrive-ra
Well, I'm currently installing Windows 11, and I'm getting to the interesting part, where the TPM 2.0 processor chip can be replaced in software with a program called Rufus, and where the Windows 1125H ISO needs to be loaded onto a pendrive of at least 8 GB.
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.
i made an extension to get a top hacker news items with summary on every new tab.
chromewebstore.google.com/โฆ/pmlajlgklmgabkhammfolkgkeghamjnn
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.



