In the near future we may have a flippening where new models appear first on GovCloud (today it’s six months behind)

Mythos is clearly dual use (and automatically subject to export controls), even if Anthropic didn’t understand what that means.

Yes this administration can be capricious and hyperpartisan. This isn’t one of those cases.

Elon? Grift? Give me a break. He's the greatest true technologist of all time.

I couldn't fine even one other defender in either discussion. Maybe its true that HN has been BlueSky'd and Twitter is the new HN

ps. Great post aside from this

Politicians spend their lives in one of the purest zero-sum systems in existence. Of course they don't have a gut level understanding of the creation of wealth.

But consumer surplus matters most of all. Imagine the net benefit to consumers of Robotaxi and Optimus (ok, ok, assuming they work, for the doubters in the room). Entrepreneurs capture

Aerospace, defense, semiconductors, telecom, advanced manufacturing equipment, etc

SpaceX entire operation is under ITAR, because even though their rockets are not weapons, rockets are treated as weapons for export purposes

When you ask for regulation, you get regulated. Welcome to the real world

This is all normal. It’s also well worth the time spent learning

One can only imagine that many of these countries were also spying on us in various capacities, albeit with fewer resources. Israel is a bigger concern because they're extremely good at it, but I'm sure it's nothing new.

NASDAQ has an incentive to offer early entry into the index (they want SpaceX to list on their exchange), whereas S&P has no incentive for early inclusion; it could only increase risk for them. Even if they /wanted/ to add SpaceX early, that could create a precedent with unpredictable consequences.

Since most shareholders I know plan to hold for another 20 years, waiting a year to get into the S&P average seems fine. Congratulations to S&P for sticking to principle.

Two thoughts:

- Japanese management style and processes are probably fruitful ground for understanding how teams of agents should work. H-firms require inspirational leadership, and agents don't need that.

- There is an interesting opportunity to turn Japanese process knowledge into a trainable environment, which of course should be done in such a way to benefit Japan and the Japanese people ("The type of deep process knowledge that has accreted within companies like Kyocera and Toto is almost impossible to replicate")

- Ernest Hemingway trained his own neurons on Tolstoy, Twain, and Turgenev without ever paying them royalties!

- William Faulkner trained his neurons on Joyce and de Balzac

- George Orwell trained his neurons on Swift, Dickens, and Jack London

- Virginia Woolf trained her neurons on Proust and Chekhov

Now that these historical wrongs have been exposed, it is obvious that some reparations are in order, likely from anyone who has benefited directly or indirectly from these takings!

If AI becomes as powerful as some fear/hope, productivity will be so high that we will need to do very little work for a superior standard of living. Costs for housing, healthcare, education will collapse, and there is nothing to worry about.

This article somehow tries to straddle both positions, that AI is fundamentally flawed and can never really accomplish useful work yet we should be angry and fearful.

That's the reason it seems like a thorny topic.

Once they realized that DoW had locked themselves out of Mythos because of their beef with Anthropic, Trump invited Anthropic to the White House, and in that meeting they convinced Trump that Mythos is a big deal, and that China is distilling their models.

Excited to have a powerful tool, now they are saying it should be used by Government agencies first, and therefore, regulation.

Key takeaway: when defense types hear something is DANGEROUS, they want more of it. That's the outcome of discussing x-risk with the federal government. "Existential risk? That sounds GREAT! How can we get more of that, make it more dangerous?"

My programming endurance is much greater now (2-3x focused hours per day), my productivity per hour is multiples higher, and I code seven days a week now because it's really exciting.

All told, I would pay for these tools as much as I would pay for full-time human programmer(s).