_acco

Are you not aware that other auto companies produce concept cars?

So cool. Would love to hear more - What app do you use? How often do you clear your inbox and how long does it take?

My best guess for the sparse icons in older MacOS versions: icons only for frequently-used menu items.

I disagree. I started with Elixir and its OTP resources are really good. Books like Elixir in Action do a great job.

I read Programming Erlang later, but it was just for fun, and I knew most things already at that point.

False, payroll taxes are split.

And Texas is famous for its property taxes.

You think they don’t pay payroll tax, sales tax, or property tax?

Operating a business means consuming and producing things, which involves paying taxes.

Clickbait title.

First, this is narrowly about federal income tax. SpaceX presumably pays plenty of other taxes.

Second, using the projected profits in the article, SpaceX will have exhausted its NOL pool by the end of this year, and so will pay billions in federal income tax next year.

But more important: the whole point of these tax cuts and programs is to let businesses use losses today so they can create value — and tax revenue — tomorrow. Of course, if you take a snapshot after part 1 but before part 2, it will always look like “X gets Y from government and gives nothing back”.

I consider myself expert-level at Elixir and did not learn Erlang first. Couldn't write a single line of Erlang today unaided if I tried.

I picked up Joe's Erlang book years after out of pure joy/curiosity.

Especially with LLMs, totally unnecessary.

This is a good way of framing that we don't understand human creativity. And that we can't hope to build it until we do.

i.e. AGI is a philosophical problem, not a scaling problem.

Though we understand them little, we know the default mode network and sleep play key roles. That is likely because they aid some universal property of AGI. Concepts we don't understand like motivation, curiosity, and qualia are likely part of the picture too. Evolution is far too efficient for these to be mere side effects.

(And of course LLMs have none of these properties.)

When a human solves a problem, their search space is not random - just like a chess grandmaster's search space of moves is not random.

How our brains are so efficient when problem solving while also able to generate novelty is a mystery.

Your unique advantage is you know Vitess super well. Your unique disadvantage is you know Vitess super well! Second system syndrome is real. Using as much Vitess as possible could help you guard against it.

Excited to follow your progress :)