[0] https://en.wikipedia.org/wiki/Indiana_Pi_Bill

The engineering probably has some cool novelty: 39 qubit and 10 million layers is a very large circuit. But simulating a large circuit is very different to achieving a quantum computing breakthrough in CFD.

But, there are still reasons I reach for Julia.

Interesting packages where I prefer Julia over Python/R: Turing.jl for Bayesian statistics; Agents.jl for agent-based modelling; DifferentialEquations.jl for ODE solving.

I would much rather data-munge tabular data in Julia (DataFrames.jl) than Python, though R is admittedly quite nice on this front.

Personally I reach for Julia when I want to use one of the previous packages, or something which I want to code up from scratch, where base Julia is much preferable to me than numpy.

Janet seems really tempting for tiny footprint, distributability etc.

But I'm currently leaning towards to Racket just because it would be more or less compatible with a whole host of Scheme books that I'd like to read (The Little Schemer/Typer/Learner, SICP, Functional Differential Geometry).

Does anyone familiar with Janet know if those books can be easily worked through with Janet for a newbie Lisper?

ML-enhanced development neatly circumvents this: explainability and accountability is passed on to the developer. This includes bugs and license infringements.

I have no qualms about ML tools in development. But so long as the buck stops with me, I prefer to write from scratch.

Large language models have tradtionally been very weak at brute force computing (just look at how bad they are at multiplicaion of large numbers). If it can somehow excel at something which typically involves computing power like chess tactics deep into a game well after a novel position has been reached, then put me down as impressed.

Generative models are about characterising probability distributions. If you ever predict more than just the average of something using data, then you are doing generative modelling.

The difference between generative modelling and predictive modelling is similar to the difference between stochastic modelling and deterministic modelling in the traditional applied mathematical sciences. Both have their place. Neither is overrated.

Grab the best tool for the job.

If you answer all the questions after reading all of them, you could only get only question 100 wrong and get the other 99 correct, so reach a score of 99/100.

If you answer only questions 1 and 2, you get the answer to 100 right too, so you could score 3/100.

In the latter case, you could score 3/3 too, depending on how the examiner decides to mark it.

So which is it?

I decided to allow myself as many extra features as I wanted with one caveat: all plugins had to be pure vimscript.

Reproducing an exact dev environment is just a git clone away, because there are no external dependencies outside of vim itself.

This is not very restrictive: you have fuzzy search with Ctrl-P, get full-featured language server support with vim-lsp etc.

This is possible because Vim8+ (released 6 years ago) has a native plugin manager which is very easy to manage via git submodules.

But, after some thought, I realise that allowing such extension simply requires trusting a third party app access to so much of my personal information. They (understandably) need the ability to read every page I browse. Vimium-FF even requires clipboard access.

I do believe the authors have the best intentions. But the amount of trust I need to have in order for a third party app to have so much access to some of my most confidential information (online banking, emails etc.) is very very high.

> _nobody_ cares about any of this. Universities don't care, journals don't care, peers don't care, nobody within the academic system cares.

Please be mindful about generalising over such a large number of people. Maybe those who care have little power to do anything about it.

Neutral atom quantum computers (the type outlined in the article) work at room temperature.

Superconducting qubit based quantum computers do indeed require cooling to these levels, though.

"...please use the original title, unless it is misleading or linkbait; don't editorialize." [0]

[0] https://news.ycombinator.com/newsguidelines.html