Tootfinder

The Browser Company launches a $20-per-month Dia Pro subscription plan, providing unlimited access to the web browser's AI-powered chat and skills features (Ivan Mehta/TechCrunch)
https://techcrunch.com/2025/08/06/the-b…

The Browser Company launches a $20 monthly subscription for its AI-powered browser | TechCrunch
The Browser Company has its first paid plan in form of $20 per month Dia Pro.

Swedish news giant Bonnier takes a majority stake in Danish digital outlet Zetland, which has 70,000 members, with subscriptions making up 80% of revenue (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/media_business/zetland-bonnier-n…

CEO of Danish publisher Zetland: 'It's bullshit to say young people aren't willing to pay for news'
Bonnier News has taken a majority stake in Danish publisher Zetland which reaches a strong base of young people with digital subscriptions.

Trump Pardons Former Tenn. House Speaker Convicted of Federal Corruption Charges | Associated Press
https://www.newsmax.com/newsfront/trump-pardon-former-tennessee-house-speaker/2025/11/06/id/1233576/

I've been trimming subscriptions recently.
Disney cancelled (Just before the Kimmel stuff)
Paramount cancelled (Until a new Star Trek season starts)
XBox Game Pass Ultimate because WTF were they thinking with the 50% increase?!... reduced to Essentials.
Apple One reduced to Apple Music and iCloud Family only
Fortnite Crew cancelled
I imagine the next company subscription I cancel will be the next one to do something stupid 😅
#SubscriptionHell #Subscriptions

Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
Martijn G\"osgens, Bart P. G. Van Parys
https://arxiv.org/abs/2510.03072 https://

Subgradient Methods for Nonsmooth Convex Functions with Adversarial Errors
We consider minimizing nonsmooth convex functions with bounded subgradients. However, instead of directly observing a subgradient at every step $k\in [0, \dots, N-1]$, we assume that the optimizer receives an adversarially corrupted subgradient. The adversary's power is limited to a finite corruption budget, but allows the adversary to strategically time its perturbations. We show that the classical averaged subgradient descent method, which is optimal in the noiseless case, has worst-case perf…

Did you know that the Learning With AI toolkit has a speakers bureau for AI and education? Filter for expertise like "agents administration" or "data bias," then click on presenters to watch recordings that demonstrate their presentation styles.
Have a speaker to recommend who's not on the list? DM me and I'll send you a form to submit a name, specialty, and recording of any events for consideration.

🇺🇦 Auf radioeins läuft...
Sofia Kourtesis:
🎵 Corazón
#NowPlaying #SofiaKourtesis
https://sofiakourtesis.bandcamp.com/track/coraz-n
https://open.spotify.com/track/5A6SU4vLMAJZbkTy7C7xXJ

Just wrote the rough draft of my next article, it will be called, “Collective Punishment Backfires,” and my subscribers will be the first to read it.
You can subscribe for free and get it first too.
Go to https://stuff.davidaugust.com

David August
Stories, serious articles, satire, tech trends, how to guides and ideas from David August. Actor. Writer. Acting coach.

Solid list:
https://www.scotthyoung.com/blog/2025/10/06/102-lessons-from-102-books/?ck_subscriber_id=389259318
Don't run through LLM, it's already a very concise list. Take time and look through it.

Quantum Subgradient Estimation for Conditional Value-at-Risk Optimization
Vasilis Skarlatos, Nikos Konofaos
https://arxiv.org/abs/2510.04736 https://arxiv.…

Quantum Subgradient Estimation for Conditional Value-at-Risk Optimization
Conditional Value-at-Risk (CVaR) is a leading tail-risk measure in finance, central to both regulatory and portfolio optimization frameworks. Classical estimation of CVaR and its gradients relies on Monte Carlo simulation, incurring $O(1/ε^2)$ sample complexity to achieve $ε$-accuracy. In this work, we design and analyze a quantum subgradient oracle for CVaR minimization based on amplitude estimation. Via a tripartite proposition, we show that CVaR subgradients can be estimated with $O(1/ε)$…