1,299 karma · joined January 5, 2013
https://www.swpc.noaa.gov/noaa-scales-explanation
https://kauai.ccmc.gsfc.nasa.gov/CMEscoreboard/prediction/de...
One could argue that LLMs will change the world, but that doesn't guarantee that LLM companies will capture any of that value.
The additional rub is that the paying power users are arguably costing these companies more money than the free users.
https://www.youtube.com/watch?v=0Gk61ginOqo&t
The TLDR is:
- Unique, state backed financial instruments that remove a lot of the risk for purchasers. The state needs a large amount of foreign reserves to do this;
- A concentration of industrial and labour capacity. You need to achieve a certain scale in order for the economics to work.
They also look at the case of Germany, who don't produce a lot of finished ships, but export the most profitable, complex components to east Asia. They are at least pursuing a rational strategy, even if they don't have the ability to crank out thousands of ships a year.
On the sliding scale of welfare state socialism, Finland and Norway have the greatest degree of public investment. Angola would be on the other side of that spectrum, with almost no public services or redistributive programs offered.
Aside from the ability to cast a ballot, the only other power that normal people have in our political economy is the ability to withdraw their labour. If AI replaces all labour, that already vanishing power completely disappears.
I could see countries like Norway having strong enough institutions to ensure that the benefits get shared in a reasonable way.
In places like the US or Russia, I have a difficult time imagining anything other than the creation of a dozen trillionaires. The US can't even agree on basic universal healthcare. Do you think that President Vance or Newsom are going to divert profits from Google and OpenAI to give to normal people?
A far more likely scenario would be the growth of a permanent underclass. Silicon valley would rather see 150 million people living in tents than agree to a higher rate of taxation.
If that is the case with a task so simple, why would we rely on these tools for high risk applications like medical diagnosis or analyzing financial data?
4chan, like any company is free to withdraw their business if they do not agree with the laws there.
This is how every law works in every country for every type of business.
As others have pointed out, the idea is really cool, but the implementation was never there.
I think the surprise was the degree to which ad revenue would eat the world. Maybe it will be the same this time.
If models are requiring larger and larger infrastructure buildouts, does anyone have a clear sense of what users will have to pay in order to make the businesses profitable?
Pack the absolute minimum. If you really need something, you can almost always buy it wherever you are going. Even trekking in the deep Himalayas, there was always a spot to buy an extra t-shirt or socks every day or so.
Large organizations are increasingly made up of technical specialists who are very good at their little corner of the operation. In the past, you had employees present at firms for 20+ years who not only understand the systems in a holistic way, but can recall why certain design or engineering decisions were made.
There is also a demographic driver. The boomer generation with all the institutional memory have left. Gen-X was a smaller cohort, and was not able to fully absorb that knowledge transfer. What is left are a lot of organizations run by people under the age of 45 working on systems where they may not fully understand the plumbing or context.
Customers feel like they are being treated like ATM machines, while the tens of billions of revenue are clearly not going into new, exciting creative endeavors. I suppose all of this makes sense when you consider that EA is a 45 year old company.
If you are rich and care about your health (especially as move past age 40), you probably have use for a physiotherapist, a nutritionist, therapist, regular blood analysis, comprehensive cardio screening, comprehensive cancer screening etc. Arguably, there is no limit to the amount of medical services that people could use if they were cheap and accessible enough.
Even if AI tools add 1-2% on the diagnostic side every year, it will take a very, very long time to catch up to demand.