Tootfinder

#Ariel ist eine extrem schreckliche Person. #IBES Äußerst unangenehm zuzusehen und ich habe Sorge, dass da jemand ausrastet.

Great talk by @… of #GNU #Hurd fame, in a packed room, selling the the Hurd really well (in my not entirely unbiased opinion, of course) and starting with
It'…

"France’s largest rewilding project"
#France #Rewilding #Environment

France’s largest rewilding project
Founder’s Briefs: An occasional series where Mongabay founder Rhett Ayers Butler shares analysis, perspectives and story summaries. He has spent much of his life in the shadow of the Dauphiné Alps in southeastern France, where limestone cliffs catch the morning light and the silhouettes of horned ibex move across the ridgelines. To Fabien Quétier, who […]

Micron introduces the first mass-produced PCIe 6.0 SSDs, with read speeds up to 28GB/s, double that of PCIe 5.0 SSDs, optimized for AI/data center deployments (Aaron Klotz/Tom's Hardware)
https://www.

First PCIe 6.0 SSD enters mass production with 28GB/s speeds, 5.5 million IOPS, and liquid cooling — Micron 9650 Series SSDs support air and liquid cooling
Micron's new drive is so fast that it fully benefits from liquid cooling, but air cooling is still supported

🇺🇦 #NowPlaying on #KEXP's #AfternoonShow
Jill Scott:
🎵 Beautiful People
#JillScott
https://orlandovoorn2.bandcamp.com/album/goat-series-jill-scott-beautiful-people-dba-remixes
https://open.spotify.com/track/6S37ilrmjAKT7hq63NSylw
🎶 show playlist 👇
https://open.spotify.com/playlist/2Ivj2i9BbyMoJmb0ZucUM2
🎶 KEXP playlist 👇
https://open.spotify.com/playlist/6VNALrOa3gWbk794YuIrwg

The Hole in Trump's Rationale for Acquiring Greenland (The Atlantic)
https://www.theatlantic.com/national-security/2026/01/pentagon-arctic-greenland-china-russia/685553/?gift=YomuSz8U7hgV6-iiBzXx_DUBUJLpiEJkNSXs5GxZeDo&utm_source=copy-link&utm_medium=social&utm_campaign=share
http://www.memeorandum.com/260109/p112#a260109p112

Good news: I found an affordable local source of molasses to make my famous cookies

Prune, Don't Rebuild: Efficiently Tuning $\alpha$-Reachable Graphs for Nearest Neighbor Search
Tian Zhang, Ashwin Padaki, Jiaming Liang, Zack Ives, Erik Waingarten
https://arxiv.org/abs/2602.08097 https://arxiv.org/pdf/2602.08097 https://arxiv.org/html/2602.08097
arXiv:2602.08097v1 Announce Type: new
Abstract: Vector similarity search is an essential primitive in modern AI and ML applications. Most vector databases adopt graph-based approximate nearest neighbor (ANN) search algorithms, such as DiskANN (Subramanya et al., 2019), which have demonstrated state-of-the-art empirical performance. DiskANN's graph construction is governed by a reachability parameter $\alpha$, which gives a trade-off between construction time, query time, and accuracy. However, adaptively tuning this trade-off typically requires rebuilding the index for different $\alpha$ values, which is prohibitive at scale. In this work, we propose RP-Tuning, an efficient post-hoc routine, based on DiskANN's pruning step, to adjust the $\alpha$ parameter without reconstructing the full index. Within the $\alpha$-reachability framework of prior theoretical works (Indyk and Xu, 2023; Gollapudi et al., 2025), we prove that pruning an initially $\alpha$-reachable graph with RP-Tuning preserves worst-case reachability guarantees in general metrics and improved guarantees in Euclidean metrics. Empirically, we show that RP-Tuning accelerates DiskANN tuning on four public datasets by up to $43\times$ with negligible overhead.
toXiv_bot_toot

Study: AI's 2025 power demand could hit 23GW, above 2024 Bitcoin mining levels, and AI carbon emissions could hit 32.6M to 79.7M tons, compared to NYC's 50M (Justine Calma/The Verge)
https://www.theverge.com/news/845831/ai-chips-data-center-power-water

AI’s water and electricity use soars in 2025
AI data centers are using growing amounts of electricity and water, research shows, although companies aren’t divulging many details.