These days Ive been learning how to deal with guilt and feeling gulti about things I didn't cause. NGL is hard man, how do you start cntl-z your brains on that
Any conversation
(Opinion) People donโt like generative AI because it made the {insert creativity} too easy. Saw the HN post on โAI music banned from top 40 chart in Australiaโ and people had very strong opinions in both directions.
The hot take: If youโre ok with someoneโs creativity being outsourced to others, then you should be ok with AI doing the same.
If โAI made this and I call it mineโ is bad but โsomeone overseas on fivver made this and I call it mineโ and itโs suddenly ok, time to self reflect.
โฆ
NIH syndrome? I am guilty of it too. I love implementing things from scratch, you learn a lot by doing so and you get to own the codebase end-to-end, so no surprises and fighting around othersโ choices. It can get exhausting too though, in the end I succumb to using off-the-shelf components because my primary goals move at a higher level.
I am a remote worker, and has been for 4 years now. It works great. But the owner of the office I've been renting have sold the building, and the new owner has different visions. I could work from home, but my 3 month daughter is a screamer. I had a great, cheap deal. All alternatives I find is like 3x the price.
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.

