jerska

LLMs need to compress information to be able to predict next words in as many contexts as possible.

Chess moves are simply tokens as any other. Given enough chess training data, it would make sense to have part of the network trained to handle chess specifically instead of simply encoding basic lists of moves and follow-ups. The result would be a general purpose sub-network trained on chess.

Adding to my sibling comment, time is also mostly used as a coordination system. Being offset by a few minutes would make aligning meetings with your remote coworker an even bigger nightmare than it is now.

Using caps doesn’t make this affirmation any more true.

While you’re correct that it does massively help, money is only a resource, which you can use to trade for a lot of things, but there are people, things and abstract concepts that money can’t buy.

You’re checking the return value of the command here. Do you wrap all calls in an if?

I believe the author was talking about set -e (often used with -o pipefail), so that any unhandled error simply exits the script.

> there is no demand for (paid) background removal anymore as every iPhone can do it nowadays.

PhotoRoom begs to disagree with this statement.

… brings a counter theory to the parent comment to clearly explain why conclusions are hard to draw, then explicitly states that it’s inconclusive.

The bad faith and passive-aggressive tone were unwarranted.

Stranger than speaking out loud with your headset on?

Smart people don’t consider themselves better than people around them.

This article is so annoying.

It has some truth to it, e.g. the mismatch between incentives and success, or even the corporate bullshit to avoid saying hard truths are on point. But the second part lacks the proper reasoning needed to establish the self-proclaimed intelligence of it author. Comparing software development’s product building with fencing competitions is so far-fetched, yet most of the arguments of the second part build on this premise. You don’t need amazing individuals to build a great thing, what you need is a great team. That’s why most people try to address the system. It’s hard to do when you factor in individual incentives, but it’s not because everybody is dumb, it’s because everybody (smartly) addresses their own self-interests above the company’s.

Of course you patch it, but you don’t assume that every system affected by this 0-day got exploited. You try to check if some were and it’s obvious that people at Microsoft are doing exactly that.

Not saying that MS’s response was great, but I agree with GP that the whole thing is hyberbolic.

Great article, the example makes the point really clear. It probably applies just as well to other languages by the way.

Two small notes after completing my read:

1. You're using `npm prune --omit=dev` after the build. It's probably fast enough, but I'm wondering if it wouldn't be worth it to install the dependencies in two steps: first `dependencies` in a first image, then in a second image, copy those and rerun `npm install` to also install the `devDependencies`. You could then copy in the final image:

  - The production dependencies from the `deps` image
  - The built code from the `build` image

2. Also, it's probably a detail, but you're copying the entire app folder in the final image, maybe you could save some extra bytes by only copying the built artifacts (e.g. `dist/` in most setups).

Sorry but gotta say it the way it comes to my mind : « no shit, Sherlock ».

Listen to your body. Always.

Congratulations on the launch of such a nice replacement (and improvement!) of Algolia Places. It's much needed in this space.

Just wanted to say after trying out a few searches how blown away I am by this.

The level of understanding is indeed not there yet to rival directly with competitors, but you’re doing more than a decent job on a lot of requests which is no small feat looking at the competition.

Wishing you luck, and curious to see it evolve!

I’ve computed the 30% of GDP using the same maths as you did before, by taking 10K per capita over 34K of GDP per capita.

Yes taxes are higher in France. Yes some budgets and jobs might need a pay cut to apply a similar model in the US. That doesn’t sound like an impossible task.

All I’m saying is that dismissing the whole idea of your parent comment by saying that a basic income representing a high portion of GDP would imply absurdly high inflation rates is not true, as there are at least a few counter-examples. Maybe the amount is too high. But the idea is not as unreasonable as you made it sound.

Note regarding population decline: France is reaching its peak of aged population / younger blood to infuse the economy following WW2’s baby boom. It will likely not have a higher impact than it currently has today in the upcoming years.

You are trying to disagree here.

Otherwise, you’d have looked at other comparable economic powers worldwide that provide a more socialist alternative and see that they are nowhere near the inflation rate you’re describing, e.g. France.

Granted, it’s not $30K a year, but $7.5K for a single person, with free healthcare & education that could be considered a form of income. Doing the same maths as you did, round it $10K per person and you’re at 30% of GDP.

It’s been running for years and debt levels didn’t skyrocket much higher than the US.

On a single platform, no.

I don’t disagree with your point that there’s shared responsibility.

But a big reason the welders aren’t the focus of the blame is that they were the first ones to die in the explosion.

The consequences for PG&E were simply 4 millions here, which is a ridiculously small amount.

Also, you don’t treat individuals and companies the same way.

I’ll just chime in to say that Algolia runs on an home-made C++ engine. [I work at Algolia]

Do you have an even worse source? This Navigant « study » keeps coming up in comments about Tesla without any explanation on the methodology whatsoever.

The first article you link to sources another article as its source, which itself calls bullshit on the ranking.

Your link:

> According to Electrek, Tesla trails behind other companies in terms of autonomous driving tech based on a list created by Navigant Research, an independent research firm.

Electrek’s article:

> Electrek’s Take

> I think Navigant’s autonomous leaderboard is ridiculous. There are way too many brands that keep most of their development under wraps, which makes it hard to evaluate them and therefore, it gives very little value to a leaderboard like this in my opinion.

There's indeed no OR, as you'd be able to type those three queries with instant results. If you really wanted to do that, you could use the optionalWords feature at query time using the API. :)

Custom-made C++ engine - baked into an nginx plugin - no elasticsearch nor lucene in the stack, except to gather analytics on the side. It has been made to solve user-facing search only, where elasticsearch couldn't meet the same speed because it's trying to solve a lot of other things.

Algolia : https://blog.algolia.com/

Algolia's CSS API client: https://blog.algolia.com/js-is-dead-all-hail-css/