1,637 karma · joined December 23, 2023
Studying in a university has the advantage of learning from experts and being surrounded by people that are also learning from experts. This has significant advantages.
I would also argue society is better if its people are more educated.
This is something they’d want to settle quietly, so the family would have leverage.
It’s something entirely different when the government starts taking a stake in individual companies instead of the market as a whole. This can easily bias the government to pick OpenAI for certain contracts, or enact laws that benefit OpenAI more than its competitors. It reduces competition which hurts the overall economy, and it is an obvious vector for corruption which hurts the efficiency of the government.
It’s great if we can leverage AI to design the next great government system. A 5% stake feels more like a bribe to help push through some of these datacenter projects and enact friendly laws.
I think most AI generated code is people that want to help the project, but maybe aren’t familiar with the standards and norms.
A relic from “Hard Disk Drive”, which was about two persistent storage technologies ago.
Even without buying you can send Linux gaming signals by playing on Linux and participating in the hardware survey.
It’s not entirely dissimilar.
You’re right that the AI opinions are largely colored by the business practices around it.
https://news.gallup.com/poll/694835/image-capitalism-slips.a...
Capitalism approval rates in the US is much more favorable than 16%.
512GB unified memory macs are available, with the ram upgrade costing a few grand.
The reason why some Capital Interests don’t want to ban DeepSeek is so companies that utilize AI have more options, and running your own DeepSeek cluster acts as an independent cost comparison for enterprise inference contracts.
The raising AI valuation is giving more weight to those that want to blacklist DeepSeek. The AI Safety narrative is strong. I see a path where any institution with enough compute might be watched in a similar was chem labs are observed by the DEA.
We’re approaching a world where running a primer frontier model is possible on a workstation, probably will have something under $30k that looks like a desktop for Nvidia’s next generation. It sounds expensive, until you look at your Anthropic bill.
It’s similar unit economics as could computing for the open models. You can save a ton on the expenses by buying the hardware, but it requires a lot of in-house expertise, and you get the most value if you keep the system operating around the clock. The big kink is open models are usually 2 quarters behind frontier, and your competitors are probably trying to get access to mythos.
The information should be considered by regulators and scientists. They should read the scientific journals directly. I want to be able to trust in institutions to make informed decisions to improve environmental factors that require collective action.
I don’t think informing citizens about danger so they can demand policy reform is the actual purpose of The Guardian article. I’d love to be wrong on this, but that’s a fairy tale about how the system actually works.
Cherry picking scientific articles to cover that will cause fear is not just-the-facts reporting.
Very few places are doing any just-the-facts reporting.
Makes sense that the most popular AUR packages will be candidates for the main repo.