About 50-75%, also depends on cpu workload and brightness.

Running a VM will probably give you better life.

With all these long blog/news posts, been asking for a TLDR via AI. It does a good breakdown on thoughts vs actions. Then if it sounds interesting, then go back. Fabric app (oh github) works well ollama or lm-studio (and llm of choice)

It also works well with long YT videos using the closed captions, no time to listen to a 2 hour podcast.

TLDR:

* Trump and Elon Musk are reportedly using FCC Commissioner Brendan Carr to target speech they disagree with, posing a significant threat to First Amendment rights.

* Carr has been described as a tool in Trump's strategy to control free speech, with actions including investigations into major broadcasters like ABC, CBS, and NBC for their coverage or internal policies.

* The Verge's Nilay Patel criticizes this as an unprecedented attack on free speech, highlighting how the FCC, under Carr, might punish media for their editorial decisions, which contradicts traditional First Amendment protections.

* The narrative suggests that this administration's actions could fundamentally challenge the freedom of the press and speech in the U.S., using government authority in ways not seen before.

Whats the name of the books? Didnt see them in the article.

Pretty sure that latency and desktop improvement projects upped the timer for smoother mouse and windows movements also. Nice to see that it also improves application improvement of AI and encoders too.

I've been using LLM's to do searches for awhile, its quicker and i get better results. What happens in the future when new issues are only mentioned in github, x or reddit, and a different LLM is trained on each, have to use 3 searches?