Many use cases for blockchains don't seem to require proof-of-work.
For example, a land registry. If I could verify that a house purchase has been written to a replicated transaction log, then I'd be satisfied.
I suppose this is giving up decentralisation, which seems OK here.
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Difftastic has been cited in a paper!
Modernizing SMT-Based Type Error Localization https://arxiv.org/abs/2408.09034
The authors use difftastic to work out which parts of a buggy program have actually changed, a great use case :)
It's so hard to talk about probabilities. Casual conversation often conflates 'the likelihood of an event happening' with 'how strongly I believe in my assessment'.
For example, I'm very confident (say 90%) that the coin in my pocket is 50% likely to land on heads.
One interesting consequence of the rise of LLMs: there's more demand for tools that handle untrusted input.
Arbitrary HTML+JS can be safely run in a browser. Lean can check an arbitrary proof.
These work really well with an LLM that can be wrong, but sometimes gives exactly what you want. Are there other tools in this family?