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.
Any conversation
I can't figure out what's leaking on my '73 F250. Shows up slowly at the back of the oil pan. It's pretty clear because I've recently changed fluids and scrubbed the engine.
It was definitely brake fluid for a while after it was overfilled but that has evened out. The oil level is steady after when checking every 10 miles or so.
I think anyway... hard to know with these ๐ฌ
one-point-five-shotted a local node app for creating social posts. drawing from static pages (hey this exists) or new blog posts (timely). with copy/paste to x, and one click post to bluesky and mastodon, tag manager and stale/archive/reject/refresh options. An idea and a solution in about 10 minutes. Madness.
a constant, existential pull
so old I couldn't tell you the end
or draw its shape
between kind acceptance
and striving, struggling, writhing, climbing
learning, growing, discontent
"do you feel this way, too, at endless war with longing itself?"
but the birds and trees and ants and wind
in their own marvelous design
don't reply
Sunk cost fallacy is no longer applicable in the age of . Now you can do broad changes without second thought, u can always revert back, without incurring the cost of doing so, since itโs all done so quickly and effortlessly.
Iโm using textlog to explore the intersection of and tech, with the goal of building an app that solves a problem in this space. Named , it's word represented as a hex color.
Of all the words there, it is a cocoa-ish color and is an appropriate name for this idea.
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.

