No idea how Fridman manages to bring on the type of high profile guests that he does. Guy does not ask good questions and has the charisma of a wet rag,
Yeah I loved the guests he had, but eventually had to stop listening to him
Readit NewsPowdering7082 commented on Comma openpilot – Open source driver-assistance comma.ai... · Posted by u/JumpCrisscross
No erasure coding seems like a pretty big loss in terms of how much resources do you need to get good resiliency & efficiency
Valve respects its customers. It is so insane that this isn't a norm; what a world we would be in if all companies did so.
Except that you don't own the things you buy on steam
> even though they are inferior to Stockfish
They're not.
With respect to winning a game of chess?
Powdering7082 commented on A small number of samples can poison LLMs of any size anthropic.com/research/sm... · Posted by u/meetpateltech
13B is still super tiny model. Latent reasoning doesn't really appear until around 100B params. Its like how Noam reported GPT-5 finding errors on wikipedia. Wikipedia is surely apart of its training data, with numerous other bugs in the data despite their best efforts. That wasn't enough to fundamentally break it.
Errors in wikipedia aren't really of the same class as the poisoning attacks that are detailed in the paper
Dead Comment
Alright, if we're talking about Falcon 9, I don't know what the cost savings are for a reusable rocket, or if there are any. If someone has that data, feel free to provide it.
> As of 2024, SpaceX's internal costs for a Falcon 9 launch are estimated between $15 million[186] and $28 million,[185] factoring in workforce expenses, refurbishment, assembly, operations, and facility depreciation.[187] These efficiencies are primarily due to the reuse of first-stage boosters and payload fairings.[188] The second stage, which is not reused, is believed to be the largest expense per launch, with the company's COO stating that each costs $12 million to produce.[189]
From wikipedia: https://en.wikipedia.org/wiki/Falcon_9#Pricing
Powdering7082 commented on · Posted by u/tu7001
Do yourself a favor and skip what Gary Marcus has to say on this and read the METR study it's self
Powdering7082 commented on Grok 4 Launch [video] twitter.com/xai/status/19... · Posted by u/meetpateltech
Really concerning that what appears to be the top model is in the family of models that inadvertently starting calling it's self mechahitler
Powdering7082 commented on Mercury: Ultra-fast language models based on diffusion arxiv.org/abs/2506.17298... · Posted by u/PaulHoule
ICYMI, DeepMind also has a Gemini model that is diffusion-based[1]. I've tested it a bit and while (like with this model) the speed is indeed impressive, the quality of responses was much worse than other Gemini models in my testing.
From my minor testing I agree that it's crazy fast and not that good at being correct