Warten auf neue Lunge - Mette-Marits Arzt: „Nur noch ein Jahr zu leben“ #News #Nachrichten
Fox CEO Lachlan Murdoch tells investors that Fox will not amend its existing NFL rights deal until after 2029, despite the NFL's push for earlier negotiations (Alex Sherman/CNBC)
https://www.cnbc.com/2026/08/06/fox-nfl-media-rights-renegotiations-opt-out.…
A response to Burn Murdoch's highly flawed Financial Times article: The shrinking arguments against degrowth –
By the ever reliable @…
https://
Judge hands Comey and others roadmap to attack '8647' cases on the merits, sides with protesters who wished Trump would 'live forever and rot in jail'
https://lawandcrime.com/high-profile/judge-hands-comey-and-others-roadmap-to-attack-8647-cases-on-the-merits-sides-with-protesters-who-wished-trump-would-live-forever-and-rot-in-jail/
Auch wenn der @… schreibt¹ „In eigentlich jeder Umfrage ist die MEHRHEIT der Nicht-AfD-Wähler FÜR ein AfD-Verbot“: ein Parteiverbot ist keine Mehrheitsentscheidung, sondern das Ergebnis eines Verfahrens vor dem BVerfG, und das ist auch gut so. Allenfalls kann ich ein Stimmungsbild dazu machen, wie die Stimmung für den Antrag auf ein Verbotsver…
Finished reading "Carl's Doomsday Scenario" by Matt Dinniman.
Book two of Dungeon Crawler Carl picks up right where the first left off: Carl, Donut, and Mordecai grinding through the Over City, with a murder mystery woven into the escalating levels.
Still funny and chaotic, but Carl, Donut, and Mordecai feel more like a cohesive team, rather than individuals grouped together.
5/5 ⭐⭐⭐⭐⭐
Just realized that the fact that newer large language models keep getting bigger in terms of parameters is kind of a tell about how they work, even as it's also kind of a requirement from the investment standpoint.
Very roughly, models develop complex functional internal state about some sub-domains, and merely memorize many examples in others. In reality it's more complicated than this and even in this simplified metaphor it's a mix between memorization and "real" "understanding" in each domain. But the point is that if companies were really working towards AGI, they'd be feeding more data into models with *fewer* parameters (that's how you force a model not to memorize) instead of building bigger and bigger models (expands the illusion of competence through increased capacity to memorize).
But being the only ones with the hardware to train an even-bigger model is one of their few competitive advantages, and signing new deals for even more hardware is one of the only ways they can signal to investors that they'll retain their advantage and thus not be destroyed by a food of competitors. That's also how they can convince the hardware dealers like NVidia to continue with circular investments. So they have to run in that direction, regardless of the scientific merits.
This is why someone like LeCun would leave that side of things.
#LLMs #AI
An interview with Brian Stelter about the Murdoch family's moves to boost their political influence in California, including the launch of the California Post (Emily Dreyfuss/The San Francisco Standard)
https://sfstandard.com/pacific-standar