Right on point. I find particularly striking how little is said about whether the best students achieve the best grades. Authors are even candid that different LLMs asses differently, but seem to conclude that LLMs converging after a few rounds of cross reviews indicate they are plausible so who cares. The apparences are safe.

context is kind of a function color in go, and it's also a function argument.

I wonder if the explanation actually had to do with these people who used to do the job 15 years ago influencing the process to ensure they remain relevant. Kind of like in the US actually.

For example I can define a notsemaphore actor that calls a callback once an internal count reaches 0, and then I can forget to decrement it and so it will never reach 0. But technically this didn't involve synchronization so there isn't a stack trace to tell me why is my program stuck and somehow this is better.

I would say yes in the sense a new party can (and did) emerge and rise to power when there is demand. Even before that you had some healthy rise and fall of political parties and political alternance beyond just two main contenders.

> It currently seems to be struggling with handling three parties

There are like 6 parties with more than 10% of seats, the current government is a coalition of five parties (from two main "families") and no shutdowns or hung parliament.

> Doesn't guarantee proportional representation

That however is true, and by design. This is a property the french voting system share with eg: ranked choice and other systems that aim at resolving the compromise as part of the election rather than afterwards.

I don't mean to say that the french voting system is perfect (I quite like ranked choice), simply that it is a functioning one with interesting properties.

Confounding factors are what allows one to tell appart "the system cause less loss of life" from "the system causes more loss of life yet it is only enabled in situations were fewer lives are lost".

Within a package it can work, but then you'll find language support lacking. For example defer is scoped to a function so you need to write pretty unusual code to make the equivalent of a try block.

> we wanted to verify whether the model is actually capable of reasoning by building a simulation for a much simpler game - Connect 4 (see 'llmc4.py'). > When asked to play Connect 4, all LLMs fail to do so, even at most basic level. This should not be the case, as the rules of the game are simpler and widely available.