Tootfinder

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

"AI is consuming more power than the grid can handle. Nuclear might be the answer"
#AI #ArtificialIntelligence #Energy

AI is consuming more power than the grid can handle. Nuclear might be the answer
New partnerships are forming between tech companies and power operators—ones that could reshape decades of misconceptions about nuclear energy.

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
Yilin Wang, Peixuan Lei, Jie Song, Yuzhe Hao, Tao Chen, Yuxuan Zhang, Lei Jia, Yuanxiang Li, Zhongyu Wei
https://arxiv.org/abs/2506.20093

ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
Time-series data are critical in diverse applications, such as industrial monitoring, medical diagnostics, and climate research. However, effectively integrating these high-dimensional temporal signals with natural language for dynamic, interactive tasks remains a significant challenge. To address this, we introduce the Time-Series Question Answering (Time-Series QA) task and release EngineMT-QA, the first large-scale, multi-task, temporal-textual QA dataset designed to capture complex interact…

Trump and his team are proclaiming that President Barack Obama and his team torqued the intelligence analysis process to deliberately discreditTrump’s 2016 election.
The administration has coupled that case with overheated and attention-grabbing claims.
Trump has accused Obama of treason,
and his top officials have made criminal referrals about national security officials under Obama
— all as the administration is trying to distract supporters who are angry about it…

New Reports on Russian Interference Show Trump’s Claims on Obama Are Overblown
The administration’s claims are overblown, but newly declassified information provides some messy details about a January 2017 intelligence assessment of Moscow’s election interference.

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Zhonghao Shi, Enyu Zhao, Nathaniel Dennler, Jingzhen Wang, Xinyang Xu, Kaleen Shrestha, Mengxue Fu, Daniel Seita, Maja Matari\'c
https://arxiv.org/abs/2506.20566

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Real-time human perception is crucial for effective human-robot interaction (HRI). Large vision-language models (VLMs) offer promising generalizable perceptual capabilities but often suffer from high latency, which negatively impacts user experience and limits VLM applicability in real-world scenarios. To systematically study VLM capabilities in human perception for HRI and performance-latency trade-offs, we introduce HRIBench, a visual question-answering (VQA) benchmark designed to evaluate VL…

Interesting thing about tomorrow's tarot show, rendering now, is that I upgraded from Blender 4.0 to blender 4.4 and it's quite a bit nicer to look at the timeline editor.
Was sad to find that the render time was up though. From about 3 seconds per frame usually to more like 12!?
Trying it with an old version I see that the lights and textures look way better with 4.4 than 4.0 though. A substantial step up in the way the show looks without me even doing anything other than waiting four times longer per frame.
Seems to be heavily dependent upon lighting now. The slow frames are like 12 seconds but the fast frames with minimal lighting and close up on the video are more like 2.
Looks too beautiful now to go back though. Upgraded my cloud-remote render machines too. We will render on four machines tonight. FOUR! The power of it all.
g3.4xlarge is no faster than g3.large but g6.xlarge seems to be twice the speed.
But hard to be sure really coz of the massive variance in time depending on the lighting.
Anyway, great show coming tomorrow. Sometimes I wonder what the hell I'm trying to do with it but tomorrow's show is the answer. Hide the angry bitter political rant behind a strange CGI tarot show. When the rant comes together well I like it.
https://wordcloudtarot.com/@wordcloudtarot/statuses/01JYFF0GQV1680Z0VG0YTFZDTP

Die Anonymität des Internets darf niemals als Freifahrtschein für Pietätlosigkeit oder verbale Angriffe verstanden werden. Wir alle tragen Verantwortung für den Ton, den wir anschlagen – nicht nur als Blogger:innen, sondern auch als Leser:innen und Kommentierende.
Die Blogger-Community – Zwischen Inspiration, Zusammenhalt und Verantwortung - Lorenzos Welt

Die Blogger-Community – Zwischen Inspiration, Zusammenhalt und Verantwortung - Lorenzos Welt
Die Blogger-Community ist ein ganz besonderer Ort im Internet. Hier treffen sich Menschen mit den unterschiedlichsten Hintergründen, Interessen und Geschichten.

The only way Microsoft should be involved in a European Sovereign Tech Fund is if we fund it by taxing the living shit out of them.
But having them organise and influence it (and who gets funded by it), thereby de facto giving Microsoft EU taxpayer subsidies? Get the fuck out of here.
There are no words to describe how angry this attempt at corporate capture gets me when we’ve been working on sovereign tech in the EU for the past seven years with zero EU funding (not for lack of …

We need a European Sovereign Tech Fund
With a new feasibility study, GitHub’s developer policy team is building a coalition of policymakers and industry to close the maintenance funding gap.

As an OEM, I want to make my customers angry, so that they keep knocking on my RCE vulns.
https://mrbruh.com/asus_p2/

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
Tong Zhou
https://arxiv.org/abs/2506.20476 https://arxiv.org/pd…

Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
This paper presents Team Marikarp's solution for the SIGIR 2025 LiveRAG competition. The competition's evaluation set, automatically generated by DataMorgana from internet corpora, encompassed a wide range of target topics, question types, question formulations, audience types, and knowledge organization methods. It offered a fair evaluation of retrieving question-relevant supporting documents from a 15M documents subset of the FineWeb corpus. Our proposed knowledge-aware diverse reranking RAG …