2,040 karma · joined July 3, 2023
This isn't a new problem. We've always had a few gatekeepers that steer the public narrative. This is a problem that the internet provides a clear opportunity to help solve, but has seemed to fall short. It's a clear blow to all of us techo-optimists.
If the risk is serious or not has little impact on how seriously we treat the risk. Just another way that AI is disconnecting us from ground truth.
2. A lot of the purchases from AI companies are being made with investor capital. As this dries up companies with high debt scramble to service the debt and focus on profits to achieve this goal. This means higher prices and less investment into infrastructure.
3. This has large ripple effects across the broader financial markets, which forces federal intervention. Maybe bailouts for the tech sector. Maybe just some quantitative easing.
4. There will be a second wave of AI companies in the wake that focus on delivering value under constrained capital markets. These will be well positioned 10 years later to catch a major updraft in the next finical cycle.
5. Overall western R&D activity in AI decreases under these conditions, lower hardware costs allow foreign labs to operate at much lower hardware costs. This increases the systematic risk that Artificial Super Intelligence is eventually developed in a rival nation state.
This is far from the first fluctuation of alcohol consumption rates we have data for. This is a major trend that will last decades but not a march to long term 0.
> GitHub Actions: 12 hours affected in the last 30 days (98.31% uptime).
This is trying to shine the most favorable possible light onto a deteriorating situation. It doesn't take away from the fact that most businesses have measurable missed revenue in downtime. Customers that shop somewhere else, ads that were never severed, leads that grew a little colder. 12 hours of downed GitHub results in millions of dollars of lost developer productivity that was externalized by Microsoft to other companies.
We shouldn't be trying to spin downtime as "just a few hours a month." Those hours cost real dollars.
You can divide a missile guidance system into smaller subsections and then either stitch the solution together by hand, or using a local AI w/o the restrictions of Claude.
It's quite expensive from a value per token perspective. It's quite cheap from a "send one message from my phone and it does something probably productive" perspective. No major security breaches yet.
For years I've been buying only 98%+ natural fiber clothing. I can still find t-shirts for about $10, but I do have to spend time examining the tag on clothes. I also noticed that Nordstrom's app can filter by fabric type, but the clothes there are sold at a premium.
2. If you think this modeling is inaccurate or incomplete you can directly discuss that. That would be a much more interesting discussion than "it might be incorrect."
Saving $1,000,000,000,000/yr is directly addressing how damn expensive it is.
As for the quality, I think small classrooms with good teachers probably produces a better outcome than large classrooms with great teachers.
I think education is something better scaled horizontally than vertically. More schools, with more professors instead increasing the student per professor throughput. The classes where I learned the absolute most, and had the best experience, were closer in size to 25 than 100.
If you're worried about enshittification I wouldn't be. It's relatively basic open source software that runs locally. A perfect candidate for a fork if the base app starts degrading.
I actually did not. I know there is some degree of two-way communication over HDMI/DP, and was curious if this was how the software was installed. I think discussing the technical details is a great use of the HN comment section.
(Wifi enabled display device -> HDMI -> Device) would be an incredibly interesting attack vector.
Getting a diversity of opinions doesn't mean talking to 10 experts in the same field, but talking to experts in 10 related fields.
Put another way, the US spent $250b~ (inflation adjusted) dollars on the shuttle program, and we get much more output from SpaceX than we did for Shuttle.
It could grow, it could shrink, but it seems like the root comment misunderstood the headline by thinking it's current market cap is <$1T