Agreed. I do think the metaphor still holds though.

A financial jackknifing of the AI industry seems to be one very plausible outcome as these promises/expectations of the AI companies starts meeting reality.

That's not how complex systems work though? You say that these tools feel "symmetric" for defenders to use, but having both sides use the same tools immediately puts the defenders at a disadvantage in the "asymmetric warfare" context.

The defensive side needs everything to go right, all the time. The offensive side only needs something to go wrong once.

I'm not sure that's the fully right mental model to use. They're not searching randomly with unbounded compute nor selecting from arbitrary strategies in this example. They are both using LLMs and likely the same ones, so will likely uncover overlapping possible solutions. Avoiding that depends on exploring more of the tail of the highly correlated to possibly identical distributions.

It's a subtle difference from what you said in that it's not like everything has to go right in a sequence for the defensive side, defenders just have to hope they committed enough into searching such that the offensive side has a significantly lowered chance of finding solutions they did not. Both the attackers and defenders are attacking a target program and sampling the same distribution for attacks, it's just that the defender is also iterating on patching any found exploits until their budget is exhausted.

That really depends of the offensive class. If that is a single group with some agenda, then that's just everyone spending much resources on creating solution no permanent actor in the game want actually to escalate into, just show they have the tools and skills.

It's probably more worrying as you get script kiddies on steroids which can spawn all around with same mindset as even the dumbest significant geopolitical actor out there.

The Martian Revolutions podcast series is really good! As a bonus, it borrows from a variety of historical events from the past, so it can be a fun "side quest" to start picking up on those threads as well.

All of the best (imo) speculative fiction - sci-fi and fantasy, mainly - does this. I always enjoy the echos of reality, too.

Whoah, this is so cool!

I've been curious how this project will grow over time, it seems to have taken the lead as the first open source terminal agent framework/runner, and definitely seems to be growing faster than any organization would/could/should be able to manage.

It really seems like the main focus of the project should be in how to organize the work of the project, rather than on the specs/requirements/development of the codebase itself.

What are the general recommendations the team has been getting for how to manage the development velocity? And have you looked into various anarchist organizational principles?

"Bonelli said that the Ojai is not affected by the U.S. government's regulations that aim to prevent Chinese cars from being sold to customers in the U.S."

How does this get around the regulations? That's a massive loophole that will absolutely get abused by both China and domestic companies. Trucking, delivery vehicles, etc. will all get slammed by this.

I'm not a fan of protectionist regulations like the ones keeping Chinese automobiles out of the US, but if you're going to have them, at least make them effective.

They aren't selling them to American customers. The same how you see Xiaomi cars being tested in the US despite the ban, Xiaomi just imports them directly and lets select journalists use them, but they aren't actually sold there.

Is Waymo not an American customer?

Waymo can probably import them themselves, they just can't act as a dealer for customers in the US.

Waymo can import the base vehicles but none of the connected tech that comes with normal cars in China. Instead, they are specifically adding their own connected tech (after the car is delivered to the USA), so the ban is irrelevant to them.

Tariffs are an incredibly tricky system. Two things that look essentially identical can be treated very differently depending on exactly how they get classified in the schedule. Some shoe brands (e.g. Converse) will use fuzzy soles for their sneakers, because it causes them to be classified as slippers instead where the tariff rates are different. The technical words used also tend to drift quite far from their typical meanings. In post-NAFTA automotive, "domestic" included things from Canada and Mexico up until recent EOs re-redefined it again, as an example.

The difference here are going to come down to differences between an unfinished product partially assembled in China and a completed vehicle imported from there and get into very detailed minutae of their value to the production system and its intended usage.

Based on the past year, does the current administration seem resistant to being bribed into adding loopholes or turning a blind eye?

Has someone collected all of these classic Silicon Valley nepotism stories anywhere?

I mean they are no different that the trash stories you'd read about robber barons in the 1800s (poor orphan got offered a job, smart worker talked to railroad tycoon, etc).

Pydantic was the first thing I thought of when I saw this. The possibilities are very intriguing.

Do you have any thoughts/recommendations for someone if they were to try making a pydantic interface layer for lite3?

The library contains iterator functions that can be used to recursively traverse a message from the root and discover the entire structure. Then every value can be checked for defined constraints appropriately while at the same time validating the traversal paths. Also a schema description format is needed, perhaps something like JSONSchema can be used.

Doing this by definition requires processing an entire message which can be a little slow, so it is best done in C and exposed through CPython bindings / CFFI.

Thanks for the commentary! I love hearing stories about the team members behind the scenes, and the clever innovations that make things work. Cool stuff!

Having been on the customer side of your scenario (in the manufacturing sector), this hits deep. It's that feeling of being on a phone tree, and needing to jump through hoops to find the person who can actually help you. But you're in person. And they probably fired the person who has the experience you're looking for, because experience isn't able to be quantified in a column on a spreadsheet.

That looks like a cool project - do you have any experience using it? Anything to watch out for?