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@Techmeme@techhub.social
2026-06-04 16:01:30

Coinbase and Better fund the first Fannie Mae-backed mortgage that uses bitcoin as collateral, with a nationwide rollout planned in the coming months (Yogita Khatri/The Block)
theblock.co/post/403640/coinba

@servelan@newsie.social
2026-06-03 22:00:14

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'
lawandcrime.com/high-profile/j

@krone@frawas.de
2026-06-05 16:28:30

Warten auf neue Lunge - Mette-Marits Arzt: „Nur noch ein Jahr zu leben“ #News #Nachrichten

@degrowthuk@mstdn.social
2026-07-05 18:48:09

A response to Burn Murdoch's highly flawed Financial Times article: The shrinking arguments against degrowth –
By the ever reliable @…

@mlawton@mstdn.social
2026-08-04 03:50:47

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 ⭐⭐⭐⭐⭐

@tiotasram@kolektiva.social
2026-06-05 09:23:04

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

@Mediagazer@mstdn.social
2026-06-29 03:50:37

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)
sfstandard.com/pacific-standar

@memeorandum@universeodon.com
2026-06-03 13:10:41

Playing Politics with Military Promotions (Mark Hertling/The Bulwark)
thebulwark.com/p/the-military-
memeorandum.com/260603/p25#a26

@heiseonline@social.heise.de
2026-06-25 14:46:00

Bundestag wählt Juraprofessor Moritz Hennemann neuen Datenschutzbeauftragten
Nachdem Louisa Specht-Riemenschneider angekündigt hat, als Bundesdatenschutzbeauftragte ausscheiden zu wollen, hat der Bundestag jetzt einen Nachfolger gewählt.

@eyebee@mstdn.social
2026-07-06 09:14:48

Don’t laugh. We bought a paddling pool. Delivered yesterday. Inflated it this morning and now I’m taking out a new mortgage so I can pay the Thames Water bandits to fill it.