It seems to me that, all other things equal, future workers/tax payers will lead to economic increases proportional to their costs.

A reasonable forward looking plan / budget scales with the population size. Therefore there would be no need for these special one off exceptions and nudges.

All these little bandaids add up to complexity that necessitates more bandaids.

Hrm. It's my understanding that a US company is required to give almost no data to any government without a warrant.

https://www.msn.com/en-us/money/other/us-is-starting-to-see-...

So something like, "Frontier AI has broken the 'high school' or 'university' format"?

The hype surrounding AI is just pervasively exhausting: you've got the folks talking about an entire new age for humanity where we're shortly going to take over the entire universe. And you've got the folks talking about how our entire society is crumbling.

Education is one place folks seem to throw up their hands and say nothing can be done.

The fix is simple: students are to be evaluated on their performance in person. That's it.

Any other "collapse of education" isn't due to AI, it's something else.

Essentially, many people want to know what the minimum amount of memory is to run a particular model.

Parameter count obscures important details: what are the sizes of the parameters? A parameter isn't rigorously defined. This also gets folks into trouble because a 4B param model with FP16 params is very different from a 4B param model with INT4 params. The former obviously should be a LOT better than the second.

This would also help with MOE models: if memory is my constraint, it doesn't matter if the (much larger RAM required) MOE version is faster or has better evals.

I'm waiting for someone in anger to ship the 1 parameter model where the parameter according to pytorch is a single parameter of size 4GB.

   CSS  |                    | Exact Size | Exact Size    
   Unit | Name               | (Inches)   | (Millimeters) 
  --------------------------------------------------------
   cm   | Centimeter         | 50/127     | 10            
   mm   | Millimeter         | 5/127      | 1             
   Q    | Quarter-millimeter | 5/508      | 1/4           
   in   | Inch               | 1          | 127/5         
   pc   | Pica               | 1/6        | 127/30        
   pt   | Point              | 1/72       | 127/360       
   px   | Pixel              | 1/96       | 127/480                 

https://en.wikipedia.org/wiki/Millimetre

https://www.w3.org/TR/css-values-3/#absolute-lengths

I presume the implication is that bad doctors and shoddy lawyers exist and just because they have advanced degrees doesn't make them good at what they do. This seems reasonable.

BUT, I find it fascinating that people who aren't doctors or medical experts think they can spot a "bad" doctor or people who aren't lawyers or experts in law think they can spot a "shoddy" lawyer.

A good doctor/lawyer makes good decisions and executes beneficial actions given the facts surrounding a situation. It's pretty hard to judge whether those decisions and actions are good or bad if one isn't an expert.

That's a huge motivating factor for professional licenses.

Ever pick a random one and really dive in?

https://abc7.com/post/california-has-zero-areas-dryness-firs...

Bold claim.

> eCall was made mandatory in all new cars approved for manufacture within the European Union as of April 2018.

https://en.wikipedia.org/wiki/ECall

> The cost of encouraging the ones who fail can be heavy, but at least it's finite.

Assuming that every kid has a non-zero chance of being the "right kid," then discouraging only one child results in infinite cost and so every child should be encouraged to try to cure cancer...

Most of the people in charge (faculty) are true believers and the acolytes (grad students) are as well.

They believe that a PHD and the years spent in pursuit of it will:

  1. get the student a college or university professorship in the USA; and/or
  2. allow for future opportunities that will outweigh the cost in time and money spent in pursuit of the PHD; and/or
  3. advance the state of science/research/knowledge that will justify (in feel-good vibes/emotions?) the lost years

It is ironic that some of the brightest people ignore the data.

Yes, there are laws that, if passed, would stop or slow or even reverse the increasing price of real estate. Would they pass? Hard to say and probably not quickly.

As has been repeated many times: it's in the financial interest of people who own property to increase their property's value by constraining supply via zoning/building codes, and they usually have a good amount of influence in the local politics that determine these rules.

The solve is fairly straightforward: allow absolute maximum density so long as it is built safely.

You'll get tall apartment buildings pretty quick. Then everyone can go to the schools and enjoy the low crime and fast fire response.

But that isn't allowed because incumbents don't want it.

There's not much new about this... it's the same story all over the US.

General conclusion:

Corporate litigation is mostly just a series of self-investigations so that both sides can learn what both sides actually know, given that neither side knows much about themselves OR the other side. At the same time both sides are trying to stop the other side from getting the judge to order them to do more investigating.