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The college explanation cannot be the full or even the main driver, because countries with free college (+ scholarships) have the same issue. Same for daycare pricing.


Meh. A hundred years ago, TinkerNews commenters would have observed that Western cultures are obviously better at running manufacturing plants, because at the time the West were where manufacturing happened.


Don't they have a partnership with the French Armed Forces? I am sure they are interested in automating Russian Audio or Text (-> Russian Text) -> French text.


Fair point.


There are two different things:

1. a drone that you can talk to and fly on its own

2. a drone where the flying is controlled by an LLM

(2) is a specific instance of the larger concept of (1).

You make an argument that 1 should be addressed, which no one is denying in this thread - people are arguing that (2) is a bad way to do (1).


You're considering "talking to" a separate thing, I consider it the same as reading street signs or using object recognition. My voice or text input is just one type of input. Can other ML solutions or algorithms detect a tree (same as me telling it there is a tree,yaw to the right), yes, can LLMs detect a tree and determine what course of action to take? also true. Which is better? I don't know, but I won't be quick to dismiss anyone attempting to use LLMs.


Definitely maybe - but then we are discussing (2), i.e. "what is the right technical solution to solve (1)".

Your previous comment was arguing that (1) is great (which no one denies in this thread, and it is a different discussion about what products are desirable rather than how to build said product) in an answer to someone arguing (2).


You could have a program, not LLM-based but could be ANN, for flying and an LLM for overseeing; the LLM could give the program instructions to the pilot program as a (x,y,z) directions. I mean currently autopilots are typically not LLMs, right?

You describe why it would be useful to have an LLM in a drone to interact with it but do not explain why it is the very same LLM that should be doing the flying.


I'm not OP, I don't know what specific roles the LLM should be using, but LLMs are great with object recognition, and using both text (street signs,notices,etc..) and visual cues to predict the correct response. The actual motor control i'm sure needs no LLMs, but the decision making could use any number of solutions, I agree that an LLM-only solution sounds bad, but I didn't do the testing and comparison to be confident in that assessment.


Not German so I can only talk about how it is going in another country:

- Massive change in the average household size: way fewer people live together now (delayed couple & family formation, divorce, etc.). If you go from 4 people per household to 2 people per household, now you need twice as many homes.

- Massive internal migration: declining population in a lot of rural areas and increasing in cities & their suburbs. So lot of empty houses and super cheap houses in Dumbfuck, Nowhere but scarce & expensive homes where people want to live.


Yes.

There is also the problem of housing "lost" to the lifestyles of the well-to-do - whether that's 1%'ers who own multiple houses, or regular housing which becomes short-term rentals (Airbnb or whatever). In places, those are major problems. Overall - the biggest problem those cause might be that they're socially divisive distractions from bigger issues.


Makes me think of the typical example where building more wider highways increases congestion because more people travel by car.


Completely unrelated. Laffer curve is total tax returns as a function of tax rate (usually used to show that at some point T = t*Y(t), where t is the rate and Y is the taxe base, dT/dt < 0).

This is about how Y works, not as a function of t but of, well, everything else.


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