1,842 karma · joined November 28, 2020
Car insurance premiums grew 3.8% to 5.4% annually over 30 years, compared to 2.4% average inflation rate. Why?
Complex technology and labor required to fix cars.
Costly claims for rising medical bills, increased litigation, severe climate weather damage, and distracted driving accidents from smartphones
The last 3 years, profit is way up from excess cash after post-pandemic rate increases. Before that, profit wasn't great.
I use AI a lot--I love its capabilities--and LLM's in themselves are the result of millions/billions of "averages" or clusters of things that have already occurred.
But I think there's an argument to be made for working from the tails of the distribution from the ensemble rather than the mean.
Humanity (and problem solving through software and computation) has moved forward based on order AND novelty. The mean provides stability. The tails drive change.
So it may be that 1000 iterations resulting in an average plan may still not be the most effective plan.
So $1 billion is about equal to 4 hour hours of government spending.
1) learning how to learn; and
2) using projects to learn
Writing about your experience in learning is also a powerful tool. If you can describe it to your journal (or someone else), you really know it.
I think it's becoming clear that we are reaching a point where UBI must be debated in Congress subsidized by something that doesn't wreck economic growth and probably doesn't target capital investment.
The top u.s. hedge funds by gross AUM are:
- Millennium $500+ billion - Citadel $500 billion - Ares $300 billion
There is no coherent statement's from these top folks on the "AI bubble"
- falsification of research results from academic researchers
- tuition increases at double the cost of living (inflation) increases...and a majority of people not able to pay these tuitions
- fewer jobs available that require a university degree and credentials
- loss of "intellectual authority" due to changes in public opinion (conservative leaning) and AI technology gains in authority
- evidence of large scale financial mismanagement and poor decision-making: my college has hired and fired 3 presidents in the past 10 years and now pays a salary all of them
- inability to keep curricula up to date relative to the rapidly changing world
- fewer academic researchers willing to teach
- higher quality programs at community colleges at much lower tuitions with better teachers
- public scandals about celebrities "buying" entrance to elite schools by cheating on exams
- public scandals about students using AI to do their work for them
- COVID changes and realizations of how colleges really work when stressed
- ...and much more
Liberalists still believe that things work better when society and the economy works things out with minimal state interference.
Neither AI leadership nor political organizations will change this mindset. Technology marches on.
1. Naive prediction: it will be similar to now
2. Linear regression: look at several parameters associated with LLM (speed, quality, accuracy, etc.) and create linear regressions from these parameters
2a. Polynomial regression: same as above, but fit a polynomial
3. Group prediction: select 20 friends, ask them to make predictions, then find the average(s)
...and many more with increasing levels of complexity