Fascinating to see how formal verification is rescuing AI…
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Fascinating to see how formal verification is rescuing AI from its own hallucination cycles
I'm spending way too much time looking into formal methods now because this endless overhyped corporate marketing about LLMs doing "reasoning" is getting very tiresome.
We all know standard transformers just predict the next token based on statistical weights, which immediately breaks down the second you give them a novel, complex logic puzzle. It's exactly why automated software testing is still such a error-prone chore in production.
But the interactive theorem provers like Lean 4 with deep learning models are actually getting super interesting. Instead of just letting an agent hallucinate some random python script, people are forcing neural networks to generate formal proofs that a strict math kernel has to verify step by step.
I saw a breakdown of how the Aleph Prover handled a specific Erdos disproof using formal verification on ai reasoning benchmarks, and you can see much we’ve ignored symbolic AI over the last decade in favor of raw compute scaling. So tbh it feels like computer science is circling back to foundational math out of necessity. Because brute-force data ingestion is hitting the ceiling.
Also.. it feels kinda satisfying that old-school mathematical logic is the only thing keeping modern tech grounded. Idk if this means formal methods will finally become a mandatory part of undergrad software tracks, but it honesly should.
#technology
I'm spending way too much time looking into formal methods now because this endless overhyped corporate marketing about LLMs doing "reasoning" is getting very tiresome.
We all know standard transformers just predict the next token based on statistical weights, which immediately breaks down the second you give them a novel, complex logic puzzle. It's exactly why automated software testing is still such a error-prone chore in production.
But the interactive theorem provers like Lean 4 with deep learning models are actually getting super interesting. Instead of just letting an agent hallucinate some random python script, people are forcing neural networks to generate formal proofs that a strict math kernel has to verify step by step.
I saw a breakdown of how the Aleph Prover handled a specific Erdos disproof using formal verification on ai reasoning benchmarks, and you can see much we’ve ignored symbolic AI over the last decade in favor of raw compute scaling. So tbh it feels like computer science is circling back to foundational math out of necessity. Because brute-force data ingestion is hitting the ceiling.
Also.. it feels kinda satisfying that old-school mathematical logic is the only thing keeping modern tech grounded. Idk if this means formal methods will finally become a mandatory part of undergrad software tracks, but it honesly should.
#technology
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