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The guns needed for the U.S. revolution came from the French. Most U.S. farmer guns were shit for actual warfare.

That's true, but the battles of Lexington, Concord, and Menotomy (And by extension, arguably the entire Revolution) were literally started by the Brits trying to confiscate their materiel. This was long before the French became involved.

Rice will be genetically modified for higher temperatures, almost certainly.

I thought I saw somewhere this happening, but as you know, this is a "workaround", not a fix.

Unless we stop using fossil fuels we will have a lot more to worry about. But we get a hint on exactly where we are going with the Iran war. The largest worry in the West is not the war, but price of oil raising. IMO, we should let it raise sky high to force a quick move to renewables.

As things are now, we are heading straight to +2.5C with no end in sight.


Until it can’t be.

Is it better for AIs? That’s the only reason I would care.

I've had mixed results.

Most models don't have a 100% correct CLI usage and either hallucinate or use some deprecated patterns.

However `jj undo` and the jj architecture generally make it difficult for agents to screw something up in a way that cannot be recovered.


Try using https://github.com/danverbraganza/jujutsu-skill

This is enough of a command reference that with it, agents are able to work with jj pretty well.


I've gone all in on jj with a OSS framework I'm building. With just a little extra context, the agents have been amazingly adapt at slicing and dicing with jj. Gives them a place to play without stomping on normal git processes.

The cli and a few concepts have evolved with time past the model's knowledge cutoff dates, so you have to steer things a bit with skills and telling it to use --help a bit more regularly.

I find it reasonably good with lots of tweaking over time. (With any agent - ask it to do a retrospective on the tool use and find ways to avoid pain points when you hit problems and add that to your skill/local agents.md).

I expect git has a lot more historical information about how to fix random problems with source control errors. JJ is better at the actual tasks, but the models don't have as much in their training data.


Given that Raft was rederived simply because the authors couldn’t originally understand Paxos, I’m not surprised to see this.

The FDA didn’t push up clinical trial costs, thalidomide did.

So you are stating that there has been no change in how clinical trials are required to be run, and the associated costs, since the changes immediately following the thalidomide catastrophe?

Agents increase the velocity of OpenAI and Anthropic; whomever has the best in-house agent moves the quickest.

Any publicly available evidence to back that up? There have been post-exit blog posts from OpenAI employees on HN before and it did sound like the only black magic they use there is that many employees work 16 hrs a day during launch of new features. I know that some current Claude Code devs are doing interviews where they claim that they use Claude Code extensively but they clearly have a conflict of interest while they are still employed at Anthropic, so it would be like asking a barber if you need a haircut.

Look at the number of features (PRs) being pushed by these companies.

The talent that was originally driving SpaceX is gone. And I don’t mean Elon’s brain. I mean the real engineers designing the rockets.

The talent has mostly gone because the US is fiercely politically divided, and musk changing teams from democrats to republican pretty much meant his whole staff were forced to jump ship because he no longer aligned with their values.

Do you have any evidence of this? I don’t think there have been a lot of high profile departures in the past few years.

Every single xAI exec left...

Same with most top Tesla execs since he changed political sides.

That's pretty high turnover for a company with RSU's tying people in seats


We're talking about SpaceX, not Tesla or xAI, which only very recently joined SpaceX.

A civilization on Mars would not create value. It would be a money incinerator. Mars is a shithole with nothing to offer humanity economically or in quality of life. Quite the opposite, in fact.


250 years ago, you could make this exact argument about the British colonization of Australia, and it would be entirely correct. The early colony was a pure fiscal drain on Britain with almost no return.

Yet today it's the 13th largest economy on earth.

Think on a longer time scale.


The difference is that Australia is on earth... where we all live.

In fact, Australia already had people living on it.


We also have a lot of easily accessible resources via agriculture and mining, things Mars does not have. And even if it did having mining potential, the cost of returning the goods to Earth would be wild.


The cost of agriculture and mining at all, without combustion, would be astronomical


>Think on a longer time scale.

On a longer timescale would it only be spaceX on Mars?


Australia was built by forced and indentured labour.


I guess the unspoken part of a Mars colony is that it would be penal.


So you’re investing with a 250y time horizon? Do you even expect profits from your investment? Or is it purely ideological?


Jamestown was a total failure, too.


None of this is true. Models will soon scale to several million tokens of context. That, combined with the combined experience of millions of feedback cycles, will make software a solved problem for machines, even as humans remain dumb. Yes, even complex software. Complex software is actually better because it is, generally, faster with more features. It’s smarter. Like a jet fighter, the more complex it is, the more capable it is.


They control for that. Sun exposure correlates with decreased mortality (with a dose dependent relationship) for people at the same income level. One of the figures plots it for “moderate income.”


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