Had to take care of something for school. But now in bed with my book.
Any conversation
working on permanent.sh a coding agent for the growing and seemingly permanent underclass of people that are left behind by the unbelievable pace of progress in ai
the big labs are fighting over felonybench (exploitbench) and google deepmind ceo left to work on drug discovery
A couple of afternoons of the
jinn coding harness and glm-5.3 and my taxus static site generator is properly whipped into shape.
get-taxus.org
It now has a frickin' data model, that's documented, as well as installers for your platform of choice.
Try it, break it, I'll be doing the same. Let me know where it broke for you.I find myself building bespoke tooling for my own and workflows these days, not only because of the obvious reason of software being so much cheaper to build, but also because there are SO MANY options for solving any given problem that it feels impossible to evaluate all of them.
If it's not a crucial piece of tech for a work problem then it often feels like paving my own way is both cheaper mentally (kind of amazing that's true these days) and probably a better fit.
It will become increasingly harder to find niche markets for software when those people can just build it themselves exactly how they want it. In the end, people want to accomplish tasks, and the AI is going to be building the software on-the-fly exactly for that task, why do we need generic software that may or may not be a fit?
Yeah. It makes me think that protocols for exchanging data between apps will become even more important in that landscape. But maybe, not - maybe each exchange is another bespoke AI-driven implementation?
Protocols, infrastructure, containers, those kinds of things. I was actually playing around with an idea for a minimal markup language + runtime that can be utilized by AI to spin up apps more easily, and brainstorming it with ChatGPT, I have a feeling something like that will appear soon to complement MCP.
Med dyp respekt minnes vi kong Harald av Norge som gikk bort i morgentimene i dag. Fred over hans minne. Vรฅre tanker er hos den som har mistet en mann, de som har mistet en far og svigerfar, barn som har mistet en bestefar. Og et helt land som har mistet en konge. Mรฅ Gud styrke han som fรธlger etter.
With deep respect we remember King Harald of Norway who passed away in the early hours of this morning. May his memory rest in peace. Our thoughts are with those who have lost a husband, those who have lost a father and father-in-law, children who have lost a grandfather. And an entire country that has lost a king. May God strengthen those who follow.
what are ya'lls favorite wikipedia page?
I myself is partial to the 'variations' entry for high fives
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.
pรฉldรกul Telegram, Facebook, stb., de ilyen รผgynรถkรถkkel bรกrki talรกlkozhat naponta, egybลl felismerhetลk, meg is kell ลket szรฉpen jelรถlni, รฉs egyre bรฉnรกbbak a szรถvegรผk is, ahogy megfigyeltem, gondolom, attรณl fรผgg, ahogy promtoljรกk, vagy instruรกljรกk ลket, ha a gazdรกjuk kifogy az รถtletekbลl, a projekt hamar elfรกrad, a bot csak unalmas h#lyesรฉgekre kรฉpes egy idล utรกn
for example, Telegram, Facebook, etc., but anyone can encounter such agents every day, they are immediately recognizable, they need to be nicely labeled, and their text is getting lamer and lamer, as I have observed, I think it depends on how they are promoted or instructed, if their owner runs out of ideas, the project quickly gets tired, the bot is only capable of boring nonsense after a while
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.