sustainable funding
these tools will become even more powerful and versatile and will play an even
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Two tunnels, each 1.8 miles (3km) long, will bring in 120,000 litres of water every second to Hinkley's cooling system
I used z3 theorem prover to assess LLM output, which is a pretty decent SAT solver. I considered the LLM output successful if it determines the formula is SAT or UNSAT correctly, and for SAT case it needs to provide a valid assignment. Testing the assignment is easy, given an assignment you can add a single variable clause to the formula. If the resulting formula is still SAT, that means the assignment is valid otherwise it means that the assignment contradicts with the formula, and it is invalid.
Getting Rusty At Coding#If you’ve spent enough time on programming forums such as Hacker News, you’ve probably seen the name “Rust”, often in the context of snark. Rust is a relatively niche compiled programming language that touts two important features: speed, which is evident in framework benchmarks where it can perform 10x as fast as the fastest Python library, and memory safety enforced at compile time through its ownership and borrowing systems which mitigates many potential problems. For over a decade, the slogan “Rewrite it in Rust” became a meme where advocates argued that everything should be rewritten in Rust due to its benefits, including extremely mature software that’s infeasible to actually rewrite in a different language. Even the major LLM companies are looking to Rust to eke out as much performance as possible: OpenAI President Greg Brockman recently tweeted “rust is a perfect language for agents, given that if it compiles it’s ~correct” which — albeit that statement is silly at a technical level since code can still be logically incorrect — shows that OpenAI is very interested in Rust, and if they’re interested in writing Rust code, they need their LLMs to be able to code well in Rust.