Tootfinder

My department is looking to hire a professor of practice in CS, with a focus on AI. Job posting below. If you have questions I'll do my best to answer them, else find someone who can! We are in Providence, easy commute access from Boston.
https://

Professor of the Practice in Computer Science with a Focus on Artificial Intelligence - Providence, Rhode Island job with Computer Science | 37970844
The Department of Computer Science at Brown University is seeking applicants for a Professor of the Practice position at the assistant, associate, ...

RadixArk, led by former xAI employee Ying Sheng, raised a $100M seed at a $400M valuation to make AI inference more efficient via its open-source SGLang engine (Meghan Bobrowsky/Wall Street Journal)
https://www.wsj.com…

Join us (@…) as a postdoc working on your choice of ecological forecasting or drone computer vision based monitoring of the iconic Everglades ecosystem. Applications due Friday. Happy to answer question about the position.
https://jabberwocky.weecology.org/2026/04/15/postdoc-job-ad-wading-bird-ecology-in-the-everglades/

«KI-Modelle sind anfällig für wiederholte Angriffe:
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.»
Der moderne Widerspruch ist die KI oder was ist es sonnst? So klug wie KI angeboten wird ist es einfach nicht.
🤖

KI-Modelle sind anfällig für wiederholte Angriffe
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.

Some of my favourites from the Whistler exhibition at Tate Britain. It's pretty cool to see all these in person. Whistler's mother is there too, but you know what that one looks like, right? #art #painting #exhibitions…

from my link log —
42 is an answer to the question, what is the sum of three cubes?
https://aperiodical.com/2019/09/42-is-the-answer-to-the-question-what-is-80538738812075974³-8043575…

42 is the answer to the question “what is (-80538738812075974)³ + 80435758145817515³ + 12602123297335631³?”
We now know that the number 42 can be written as the sum of three cubes: \[ 42 = (-80538738812075974)^3 + 80435758145817515^3 + 12602123297335631^3 \] This computational breakthrough was achieved i…

Slices of the special linear algebraic cobordism spectrum
Ahina Nandy, Oliver R\"ondigs, Egor Zolotarev
https://arxiv.org/abs/2606.05020 https://arxiv.org/pdf/2606.05020 https://arxiv.org/html/2606.05020
arXiv:2606.05020v1 Announce Type: new
Abstract: Let $F$ be a field of exponential characteristic $e$. We compute the slices of $\mathbf{MSL}[e^{-1}]$, where $\mathbf{MSL}$ is the special linear algebraic cobordism spectrum defined by Panin and Walter. The answer is expressed in terms of the second page of the Adams-Novikov spectral sequence for the special unitary cobordism spectrum, which was explicitly determined by Novikov. Its applicability is demonstrated by computations with the slice spectral sequence for $\mathbf{MSL}$, which determine the first few Milnor-Witt stems of its homotopy groups (up to the third) in terms of very effective hermitian $K$-theory. We also establish a decomposition of the rational special linear algebraic cobordism spectrum over an arbitrary qcqs scheme.
toXiv_bot_toot

The whole #LLM ROI thing reveals something interesting. It's basically impossible to figure out the ROI of an LLM. That makes it impossible for bean counters to make a comparison between human work and LLM work, or human work without an LLM and LLM-assisted work, to determine if the incredibly high price is worth it. But it's also impossible because you can't measure the ROI of a human, especially for skilled labor.
You can't measure the ROI of a human, because managers have no idea what people do. There's an eternally expanding amount of work designed to address this problem. But no matter how closely people are surveilled, interrogated, analyzed, there's never any real answer.
I've talked in the past about in relation to medical care. One of the dirty secrets of hospitals is that they have no way to figure out how much individual treatment costs. It's easy to understand at scale. You can know exactly how much something costs society. You can even identify patterns, using public health models, and decrease costs for society by trying to get people to avoid risky behavior (stop smoking, use protection during sex, etc). But it is absolutely not possible, at all, in any way, to figure out how much a single visit costs. This is similar to the problem of predicting climate change vs predicting the weather tomorrow in Amsterdam at 15:00. One is possible, the other is simply not.
But what is becoming painfully clear now is that this is true *everywhere*. It's trivial to know how much an industry costs. It's possible to figure out it's ROI for society. It is not possible to figure out how much value any individual worker provides. LLM ROI and cost comparison is an instance of this larger problem.
This is a problem for capitalism because it shows that the fundamental assumptions behind capitalism, that product value and labor value are quantifiable, that people can actually make comparisons between competing products, etc, are completely bullshit. The capitalist apologetics that makes up so much of economics, the lies that are told that hold this system together, are crumbling before our eyes.
If you make a lot of money, it's because you've been lucky. You have the right social networks, you have become good at convincing people to give you money. There is absolutely no way to connect that to actually providing value to society. If you make a lot of money, internalize that. Understand that you are not special, and things can change. If you don't make a lot of money, it's not because you don't provide value. Don't forget that. The system is a lie built to destroy you. Don't let it.
The ideology is sick, something something time of monsters and all that, we are together in this dying machine. We need to understand the lies. Your value can never be quantified. The way we have always figured out how to do the right thing for each other is through each other. Social connection has always guided us. But now the most socially disconnected people on the planet have hijacked the system. They direct the resources of the world, and game the system to avoid personal responsibility.
We have to build a system where everyone is accountable. We can't use abstract numbers and lies to figure things out for us. We have to build systems around people and accountability. There is no other solution.

Anker announces Thus, a compute-in-memory chip it says will bring on-device AI to its products and accessories, starting with its upcoming Soundcore earbuds (John Higgins/The Verge)
https://www.theverge.com/tech/916463/anker-thus-chip-announcement

Anker made its own chip to bring AI to all its products
The Thus chip will come to earbuds first before being rolled out to other Anker products.