what are ya'lls favorite wikipedia page?
I myself is partial to the 'variations' entry for high fives
Any conversation
Catastrophic interference is also a favorite Wikipedia page and concept. The thing is, it doesnโt only happen to artificial neural networks, Iโve had it happen to me a few times. Especially with pin numbers, newer pins overwriting old ones and Iโm always scared when Iโm having hard time remembering something that this catastrophic interference applied and now the information is gone from my brain.
we also launched Norma! :)
It checks AI-generated code for security, quality and maintainability while the agent is still working, rather than after a pull request opens. The output is deterministic. Here the demo link: portal.qualityclouds.ai/demo
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.
Went to a party today, the group was mostly strangers, but they were all sociable and knew the art of small talk rather well, something I rather admire.
this is where I live. itโs a plateau. itโs quiet, we have cats and there are goats around and fig and pear trees.
Fired up street view on Google Maps to have a look around. It seems like a pretty relaxed and peaceful place to live. ๐
I was obsessed with Greece as a kid because of The Chipmunk's Adventure movie where they were dancing on the statues, ha. I was more into he statues (even if cartoon) than the dancing, and yet I have still never been there (I'm 45).
Crete is beautiful, I remember being on vacation there many years ago and hiking a long gorge. It was a really great experience.
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.