Our capabilities are so high and our population so differentiated we basically hold nearly all the records for everything (barring some extremeophile metrics) so it makes sense.
Also the article is AI written itself or AI assisted - there’s a tendency in AI text to bloviate and expound on irrelevant stuff so as to lose the plot
AI spec docs and documentation also have this documentation problem
We haven’t benchmarked our steering for scaffolding function-calling in an agent loop yet (and the model we are using is just a base model), so I can’t give a quantitative claim. But concept-based steering should be a good fit for keeping the agent on task and enforcing behavioral guardrails around tool use.
In practice, you can treat concepts as soft/hard constraints to bias the agent toward: (1) calling tools only when needed, (2) selecting the right tool/function, or (3) using the correct argument schema.
Because it’s important to have the domestic capacity to build the most sophisticated products. Political power is downstream of manufacturing capacity. The countries that have sophisticated enough centrifuges that they can refine weapons grade plutonium derive an incredible amount of political power from that fact.
Remember that, after World War I, the U.S. had most demobilized its military. The Japanese had more aircraft carriers than the U.S. in 1941. That’s why Japan attacked Pearl Harbor—it thought it could win!
But while the U.S. was weak militarily, it had been the largest industrial producer since the late 19th century. Within a couple of years of Pearl Harbor, the U.S. had built a bigger air force and navy than the rest of the world combined.
That’s why it’s better to be able to make Mac Minis in Houston. Because you can repurpose those facilities to produce electronics for warships instead of having to buy parts from countries you might be at war with.
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