This is, at least in part, the promise of frameworks like DSPy and PydanticAI. They allow you to structure LLM calls within the broader control flow of the program, with typed inputs and outputs. That doesn’t fix non-determinism, hallucinations, etc., but it does allow you to decompose what it is you’re trying to accomplish and be very precise about when an LLM is called and why.
As a matter of arithmetic, the trends of US government debt and deficits will eventually result in an outrageously high government debt-to-GDP ratio. But when exactly will the United States hit the constraint of infeasibility and how exactly will policy adjust to it? This article considers fiscal dominance, which is the possibility that accumulating government debt and deficits can produce increases in inflation that “dominate” central bank intentions to keep inflation low. Is it a serious possibility for the United States in the near future?
And how might various policies change (especially those related to the banking system) if fiscal dominance became a reality?
This approach reminds me of RedisGraph[1] (which is now unfortunately EoL).
"RedisGraph is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph."
Sounds like a perfect application for Micron/Intel's (yet to be widely commercialized) 3D XPoint[1] :) Although I find it highly unlikely a new Xbox would be the place to debut the technology.
Regardless, claimed latency is between DRAM and NAND, so I wonder if it would be performant enough for a gaming use case. To mikeash's point, 3D XPoint is byte-addressable, so perhaps it's possible...
As I understand it, the u2f zero acts as an HID device and not as a smartcard provider, but could one modify the firmware to do that? Isn't this basically an open source yubikey you can make yourself for < $25?