Tootfinder

from #muz4now - Cold Vocal Comping - Scratchy, Shaky Good Sounds https://muz4now.com/2025/c…

Cold Vocal Comping - Scratchy, Shaky Good Sounds
Stan Stewart - @muz4now

Israelis are taught to hate persian ethnicities from a young age #israel
https://youtube.com/shorts/YUJGHTQvhWU?si=yW6____5-YZx9OwY

Sources: DeepSeek's highly anticipated R2 model faces delays due to a shortage of Nvidia server chips in China, exacerbated by the US ban of Nvidia's H20 chips (The Information)
https://www.theinformation.com/articles/deepseeks-progre…

DeepSeek’s Progress Stalled by U.S. Export Controls
The latest round of U.S. chip export controls may have curbed DeepSeek’s rise, at least for now. DeepSeek’s highly anticipated upcoming large language model, R2, may not be as quickly and extensively adopted in China as its predecessor, the wildly popular R1, due to a shortage of Nvidia server ...

A Heuristic Algorithm for Shortest Path Search
Huashan Yu, Xiaolin Wang, Yingwei Luo
https://arxiv.org/abs/2506.19349 https://arxiv.o…

A Heuristic Algorithm for Shortest Path Search
The Single-Source Shortest Path (SSSP) problem is well-known for the challenges in developing fast, practical, and work-efficient parallel algorithms. This work introduces a novel shortest path search method. It allows paths with different lengths to be extended in parallel at the cost of almost negligible repeated relaxations. A dynamic-stepping heuristic is proposed for the method to efficiently reduce the extended paths and the synchronizations. A traversal-optimization heuristic is proposed…

I was scared to publish this #song but my #friends said to go for it … so I did.
Cold Vocal Comping - Scratchy, Shaky Good Sounds

Cold Vocal Comping - Scratchy, Shaky Good Sounds
Stan Stewart - @muz4now

OH on slack:
#cybertrucKKK #swastikar #tesla

#Unverpackt Laden in #Walldorf macht Werbung. Am 5.7. ist dort eine #KleiderTauschBörse
Funfact: Der Laden ist auch ein

Let's say you find a really cool forum online that has lots of good advice on it. It's even got a very active community that's happy to answer questions very quickly, and the community seems to have a wealth of knowledge about all sorts of subjects.
You end up visiting this community often, and trusting the advice you get to answer all sorts of everyday questions you might have, which before you might have found answers to using a web search (of course web search is now full of SEI spam and other crap so it's become nearly useless).
Then one day, you ask an innocuous question about medicine, and from this community you get the full homeopathy treatment as your answer. Like, somewhat believable on the face of it, includes lots of citations to reasonable-seeming articles, except that if you know even a tiny bit about chemistry and biology (which thankfully you do), you know that the homoeopathy answers are completely bogus and horribly dangerous (since they offer non-treatments for real diseases). Your opinion of this entire forum suddenly changes. "Oh my God, if they've been homeopathy believers all this time, what other myths have they fed me as facts?"
You stop using the forum for anything, and go back to slogging through SEI crap to answer your everyday questions, because one you realize that this forum is a community that's fundamentally untrustworthy, you realize that the value of getting advice from it on any subject is negative: you knew enough to spot the dangerous homeopathy answer, but you know there might be other such myths that you don't know enough to avoid, and any community willing to go all-in on one myth has shown itself to be capable of going all in on any number of other myths.
...
This has been a parable about large language models.
#AI #LLM

OH on slack:
#cybertrucKKK #swastikar #tesla

Mongolia: 7 Days Gobi Desert Itinerary #travel - YouTube
https://www.youtube.com/shorts/efOSlKWyQkg