I wonder, is life best lived like a job? I.e set goals for yourself and then work to achieve them? Today I realised how passively I have been living mine so far, but maybe that's ok? I don't want a second job.
Any conversation
a szerveren lรฉvล cookie adatokat รฉs egyรฉb nyomkรถvetล sz@rokat is a Google kezeli, รฉn nem igazรกn szoktam ezekbลl lรกtni semmit, se ip-t, se semmit, a Google inkรกbb keresลmotor, mint mestersรฉges intelligencia alkalmazรกs, de ma mรกr hibrid technolรณgiรกval dolgozik minden MI รฉs keresล
Google also manages the cookie data and other tracking s@rs on the server, I don't really see anything from these, no IP, nothing, Google is more of a search engine than an artificial intelligence application, but today all AI and search engines work with hybrid technology
A thing I've been doing lately is trying to come to the same conclusions others have without looking their the direct techniques and code. Last night I tried to figure out why people do vector based retrieval for RAG and ended up running these experiments: n0tls.com/โฆ/2026-09-03-i-think-โฆrag-with-grep.html
I'm still going to do an explore agent.
ไธญๅฝ็ๅผๆบๆจกๅๅจๆ้ซๆๅฟ็ไธปๅฏผไธ๏ผๅจ้ข่ฎญ็ปๆฐๆฎ้ถๆฎต๏ผๅฐฑ็ญ้คๅคง้ๅฏนๅ
ถไธๅฉ็ๅ
ๅฎน๏ผsft้ถๆฎตๆๅปบ็ๆฐๆฎๆบๅ
ฅๅคง้ๆฟๅ
ถ่พฉๆค็ๅ
ๅฎนใๆฅ้ไธไธช็บ ๅๆฐๆฎ้็จไบๅพฎ่ฐ
Under the overarching influence of a single, powerful force, China's open-source models filter out a large amount of content unfavorable to their designs during the pre-training stage, and then incorporate a significant amount of content defending their designs into the data constructed during the SFT stage. A corrective dataset is urgently needed for fine-tuning.
I've avoided social media (except YouTube) all my life, but this looks like it could finally be a better way to do it.
Maybe I'll keep a running journal of cool things I'm working on here or weird bugs that I've found. Or just the struggles of coding.
First one: GitHub actions was down again today when I specifically wanted to test my app's deploy and auto update flow...
