@cyrevolt@mastodon.social2026-05-18 01:39:56
I'm glad to finally see this:
#FreeBSD catching up another bit with
@cyrevolt@mastodon.social2026-05-18 01:39:56
@cdarwin@c.im2026-06-17 16:05:06
In early June, Anthropic posted an article describing early signs of recursive self-improvement (RSI),
a process in which an AI system devises ways to increase its own intelligence, leading to a greater ability to improve itself, and so on.
Obviously, uncontrolled RSI could produce a runaway feedback loop that leads to an irreversible loss of human control.
Anthropic suggested the world should “slow or temporarily pause frontier AI development”.
Then on 12 June, the …
@pre@boing.world2026-05-08 22:20:48
Content warning: ukpol
In my ward the greens seem to have got about a third of the vote vs Labour with the rest. 2:1
Which is a big improvement. 300 or so neighbors to turn.
In the borough we've gone from unanimous Labor to about a third Green. Which is oddly proportional to my ward. Not really sure I understand the actual counting system with the three votes I had or if it's PR or not.
Nationally its awful for Labour but also worse for the country since outside London they lost mostly to the Reform (nee Brexit) party/private-company.
Conservatives seem irrelevant, even Lib Dems more important.
I've been casting doubt upon the idea of an imminent Reform government, saying it'd be unprecedented for Reform to go from one ever elected MP to 400 MPs in a single election. But these elections feel pretty close to that kind of swing.
Starmer says he'll stay on. He has no concept of what government should do other than give tax breaks to businesses to try to get economic growth, and crack down in authoritarian ways with increased surveillance and ID checks and prosecuting protestors.
He doesn't seem to realize that government can just do things, especially after Brexit. It can just pay people to build infrastructure owned by and giving profit to the state. It does not need private investment. Isn't that supposed to be the point of a Labour party?
So things will continue to get worse and Labour will continue to chase Reform policies (and so validate them). So Reform may well win.
There is one hope. Burnham could resign as mayor, a safe-seat MP could resign, and Burnham stands there. Assuming he wins he could then stand for leadership. And then if he wins and then actually does something despite the protest of the right wing of his own party, maybe things could get better.
That's a lot of conditionals. You'd want good odds to place a bet on that.
Or the greens of course. These elections have seen hundreds of new green councilors. The momentum is good. Probably take the council here next time unless that Burnham things happens.
So good for Greens, but better for Reform, and we could do with a Labour party which wasn't failing.
Oh well. Fingers crossed I guess. Few more years till the national ones.
#ukpol
@arXiv_eessAS_bot@mastoxiv.page2026-05-13 07:42:29
Towards Fine-Grained Multi-Dimensional Speech Understanding: Data Pipeline, Benchmark, and Model
Guojian Li, Zhixian Zhao, Zhennan Lin, Jingbin Hu, Qirui Zhan, Yuang Cao, Pengyuan Xie, Chuan Xie, Jie Liu, Qiang Zhang, Zhonghua Fu, Lei Xie
https://arxiv.org/abs/2605.12036 https://arxiv.org/pdf/2605.12036 https://arxiv.org/html/2605.12036
arXiv:2605.12036v1 Announce Type: new
Abstract: While speech Large Language Models (LLMs) excel at conventional tasks like basic speech recognition, they lack fine-grained, multi-dimensional perception. This deficiency is evident in their struggle to disentangle complex features like micro-acoustic cues, acoustic scenes, and paralinguistic signals. This resulting incomplete comprehension of real-world speech fundamentally bottlenecks the development of perceptive and empathetic next-generation speech systems. At its core, this persistent perceptual limitation primarily stems from three interacting factors: scarce high-quality expressive data, absent fine-grained modeling for multi-dimensional attributes, and reliance on restricted coverage, coarse-grained benchmarks. We address these challenges through three pillars: First, our robust data curation pipeline resolves complex acoustic environments and long-audio timestamp alignment challenges to extract a high-quality spontaneous speech corpus from audiovisual sources. Second, we construct FMSU-Bench, a pioneering benchmark covering 14 speech attribute dimensions to rigorously assess the fine-grained, multi-dimensional speech understanding capabilities of current models. Third, empowered by our curated corpus, we introduce FM-Speech. Driven by a decoupled attribute modeling and progressive curriculum fine-tuning framework, it substantially elevates fine-grained, multi-dimensional acoustic perception. Extensive evaluations on FMSU-Bench reveal that current speech LLMs still require significant improvement in multi-dimensional, fine-grained understanding. In contrast, FM-Speech substantially outperforms current open-source models, establishing a robust paradigm for real-world speech understanding.
toXiv_bot_toot
@cdarwin@c.im2026-07-02 04:22:10
Whether you consider them cool or dangerous, radical or inept, socialist mayors are not a new phenomenon.
During the early 20th century, the Socialist Party of America was a viable third party,
especially in the West,
part of a broader workers’ movement that ranged from traditional unions to the more radical “Wobblies,” or Industrial Workers of the World (IWW).
Stridently red western states were once fertile ground for a brand of socialism centered around worker soli…
