Tootfinder

Quick bit of emergency repairing for my boy’s fav combats!
Added a patch behind what is a very threadbare area

🇺🇦 Auf radioeins läuft...
The Art Of Noise:
🎵 Peter Gunn
#NowPlaying #TheArtOfNoise
https://djhazemnabil.bandcamp.com/track/peter-gunn-the-twang-mix
https://open.spotify.com/track/1MeMfXuGPbO4qWVFZ1MeAV

EU advisors propose turning CO2 into a tradeable commodity in new blueprint. #climatechange #climatesolutions #climate

#silentSunday
The gods are mooning us.
#mammatusClouds June 2018

Incentive-Aligned Multi-Source LLM Summaries
Yanchen Jiang, Zhe Feng, Aranyak Mehta
https://arxiv.org/abs/2509.25184 https://arxiv.org/pdf/2509.25184

Incentive-Aligned Multi-Source LLM Summaries
Large language models (LLMs) are increasingly used in modern search and answer systems to synthesize multiple, sometimes conflicting, texts into a single response, yet current pipelines offer weak incentives for sources to be accurate and are vulnerable to adversarial content. We introduce Truthful Text Summarization (TTS), an incentive-aligned framework that improves factual robustness without ground-truth labels. TTS (i) decomposes a draft synthesis into atomic claims, (ii) elicits each sourc…

Has there ever been a scene of witches flying around on brooms in a movie that has realistic acceleration physics etc?
I'm picturing a pair of witches in tight formation at high altitude making a steep dive to pick up speed, then pull out at treetop height, a high G turn to line up for a low pass over a bunch of trick-or-treaters, then maybe getting a ping on their RWR when some grownups come into view.

Turning compute into a tradable commodity could fuel the next stage of the AI boom, just like oil futures and spectrum auctions unlocked waves of investment (Felix Salmon/Bloomberg)
https://www.bloomberg.com/news/articles/20

Recently, for some reason or another a few links have landed me at LinkedIn. It’s a weird place.
I’m imagining an alternate reality in which there was a similar service, similarly popular, like Linked except for:
1. All statements were 100% truthful, and
2. All change-of-job-status posts included full details on before-and-after compensation.
A pity that that’s impossible in this timeline.

🇺🇦 #NowPlaying on #BBC6Music's #RileyAndCoe
Truthpaste:
🎵 Bleary Eyes
#Truthpaste
#newRelease 🆕 single
https://memorialsofdistinction.bandcamp.com/album/bleary-eyes-2
https://open.spotify.com/track/2LAjXMH1tI47GrUvh9F3LP

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
Behzad Shayegh, Jan-Thorsten Peter, David Vilar, Tobias Domhan, Juraj Juraska, Markus Freitag, Lili Mou
https://arxiv.org/abs/2509.20287

Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
We investigate the tradeoff between adequacy and fluency in machine translation. We show the severity of this tradeoff at the evaluation level and analyze where popular metrics fall within it. Essentially, current metrics generally lean toward adequacy, meaning that their scores correlate more strongly with the adequacy of translations than with fluency. More importantly, we find that this tradeoff also persists at the meta-evaluation level, and that the standard WMT meta-evaluation favors adeq…