Tootfinder

What does it mean if an aircraft has a radar cross-section of 20 dB? #stealth #aviation

What does it mean if an aircraft has a radar cross-section of 20 dB?
In the Aviation Week issue of 15 February 1999, David A. Fulghum wrote the following in the article “JSF Reflection Is Golf Ball-Sized” on page 27: The overall goal of the JSF program is to produc...

“What if AI Doesn’t Get Much Better Than This?” – a pretty good summary for those who don't want to read Gary Marcus’s rather… elaborate… treatizes.
> I think it’s safe, at least for now, to turn your attention away from the tech titans’ increasingly hyperbolic claims
🧘‍♂️
https://ca…

What if AI Doesn’t Get Much Better Than This? - Cal Newport
In the years since ChatGPT’s launch in late 2022, it’s been hard not to get swept up in feelings of euphoria or dread about the ... Read more

Just finished "The Melancholy of Summer" by Louisa Onomé. It's an excellent book about parental abandonment, rejecting and accepting help, and friendship, set in Toronto. There were a few threads that didn't quite get wrapped up by the end, but the ending wasn't dissatisfying, and the writing is excellent, particularly TV gee dialogue and the narration of Summer's thoughts. I felt like the strategic use of stutters both gave the main character extra vulnerability, but also helped subtly clue the reader into moments where Summer's perception of her interlocutors doesn't match their real feelings. Between this and "Like Home", I feel like Onomé's novels are a bit rough around the edges, yet they're still some of the most enjoyable books I've been reading, probably because she's pours so much humanity into her characters and lets their honest desire for something better rub off on the audience.
#AmReading

Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu
https://arxiv.org/abs/2509.13664 https://

Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
Ambiguity is pervasive in real-world questions, yet large language models (LLMs) often respond with confident answers rather than seeking clarification. In this work, we show that question ambiguity is linearly encoded in the internal representations of LLMs and can be both detected and controlled at the neuron level. During the model's pre-filling stage, we identify that a small number of neurons, as few as one, encode question ambiguity information. Probes trained on these Ambiguity-Encoding …

Following public outcry,
the U.S. Department of Education has restored funding for students who have both hearing and vision loss,
about a month after cutting it.
But rather than sending the money directly to the four programs that are part of a national network helping students who are deaf and blind, a condition known as deafblindness,
the department has instead rerouted the grants to a different organization
The Trump administration targeted the programs in …

Students With Hearing and Vision Loss Get Funding Back Despite Trump’s Anti-DEI Campaign
Following public outcry, the Department of Education has reversed its decision to cut funding for students who have both hearing and vision loss, opting instead to reroute grants to an organization that will provide funding to these students.

On of my favorite intriguing lyrics is the following line from the Jefferson Airplane tune "Rejoyce":
"I'd rather have my country die for me"
https://www.youtube.com/watch?v=JZ8ODlt8leo

The geopolitical #aiarmsrace seems largely unimpressed by people proclaiming #LLMs have plateaued and #AGI is never coming.
Such assessments are only relevant for the market, but not so much for count…

A lot of people seem unaware of who charlie kirk was in fact, not just fantasy.
Perhaps this can help.
Murder is bad, and violence is never a good answer.
(sources follow in comment)
#USpol #kirk

Mask Consistency Regularization in Object Removal
Hua Yuan, Jin Yuan, Yicheng Jiang, Yao Zhang, Xin Geng, Yong Rui
https://arxiv.org/abs/2509.10259 https://

Mask Consistency Regularization in Object Removal
Object removal, a challenging task within image inpainting, involves seamlessly filling the removed region with content that matches the surrounding context. Despite advancements in diffusion models, current methods still face two critical challenges. The first is mask hallucination, where the model generates irrelevant or spurious content inside the masked region, and the second is mask-shape bias, where the model fills the masked area with an object that mimics the mask's shape rather than su…

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
https://arxiv.org/abs/2510.12121

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Precise attribute intensity control--generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities--is crucial for AI systems adaptable to diverse user expectations. Current LLM alignment methods, however, typically provide only directional or open-ended guidance, failing to reliably achieve exact attribute intensities. We address this limitation with three key designs: (1) reformulating precise attribute intensity control as a target-reaching problem, rather t…