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AudioML research scientist at https://audioshake.ai, before: post-doc @inria, Editor at @joss

All in 17.68% of grey

websitehttps://faroit.com
just thinkin about the relaxing clean design of temu, aka Vegaszon

The arXiv is separating from Cornell University, and is hiring a CEO, who will be paid roughly $300,000/year:

https://jobs.chronicle.com/job/37961678/chief-executive-officer

They say:

"After decades of productive partnership with Cornell University, and with support from the Simons Foundation, arXiv is establishing itself as an independent nonprofit organization, marking the next stage in its 35-year history as a pioneer of open-access science."

The arXiv’s current annual budget is approximately $6 million and they employ ~27 staff members, most of whom work remotely, primarily in the U.S. The new chief executive officer (CEO) will be responsible for all aspects of arXiv, including strategic planning, financial management, technical infrastructure, personnel oversight and stakeholder engagement. They will work closely with board member representatives of Cornell University and the Simons Foundation to establish the organization’s independence.

A firm called Spencer Stuart is recruiting the CEO. For confidential nominations and expressions of interest, you can contact them at [email protected].  The salary is expected to be around $300,000, though the actual salary offered may differ.

Chief Executive Officer - New York City, New York (US) job with arXiv | 37961678

arXiv seeks its first CEO to champion open, free scientific discovery and guide the platform’s next chapter as an independent nonprofit.

The Chronicle of Higher Education Jobs
Really nice talk with ALL the detail about how to reverse-engineer the actual circuit layout of a classic 1990s synthesiser:
https://www.youtube.com/watch?v=XM_q5T7wTpQ #39c3 #DSP #reverseengineering
39C3 - From Silicon to Darude Sand-storm: breaking famous synthesizer DSPs

YouTube
"In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them."

We tracked like 17 million train arrivals last year to see where delays happen, and this is the result 🗺️

Find out the best and worst stations, routes and times of day in our 2025 Wrapped overview: https://chuuchuu.com/2025wrapped

(on that note, we have a new website so check that out too)

@jblsmith icassp?
Twenty streets of Paris before and after in one minute

When Suno generates a song that resembles one from the training data, has it plagiarised that song?

I think it's hard to deny that it has, but if you disagree, you might find support for your view in a short story by Jorge Luis Borges, about a man who wanted to rewrite "Don Quixote" without plagiarising it. He only succeeds in writing a few chapters — but they're even better than the original!

I wrote an essay about it for my blog:
https://jbls.fun/On-Suno-and-rewriting-the-Quixote/

On Suno and rewriting the <em>Quixote</em>

Last year, Suno and Udio released products that generate songs based on user prompts. Both services are based on large language models (LLMs), neural networks that are good at synthesising all kinds of data when trained on large enough datasets. To build these models, Suno and Udio likely would have needed millions of high-quality examples: audio, lyrics and metadata for real music composed by real artists. The launch of these products thus raised red flags for those in the music industry: what data did they use? If it was copyrighted, was this use of the data permissible? And if the models were somehow using bits of copyrighted music to build new pieces of music, was this plagiarism?

who is going to #interspeech?