hnipps

8 ms·

1.
by hnipps 6mo ago
> The counterexample generator is very powerful because it leverages the knowledge base of the theorem prover (all the accumulated lemmas, etc.) among other things. That's a really interesting application. Could be very powerful for
2.
by hnipps 6mo ago
I suspect the same but I wonder how effective it will be in reality. I mention a group that has been trying to verify SQL for 12 years, and they haven't fully formalised all basic queries. I think LLMs will speed things up but will it
3.
Formally Verifying the Easy Part(brainflow.substack.com)
3 points by hnipps 6mo ago|5 comments
4.
by hnipps 6mo ago
Author here. I picked this problem because it was assigned to me in Jira. Energy usage attribution logic for smart EV charging incentives in Python/Django. Pure arithmetic, clear postconditions. Best possible case for formal verificati
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I formally verified AI-generated code. All 4 bugs were in the integration layer(brainflow.substack.com)
1 points by hnipps 6mo ago|1 comments
6.
by hnipps 6mo ago
That’s just not comparable. I’ll use your figure: If you use 400KB RAM for a process, using the remaining 240KB for something else doesn’t degrade the performance of the initial process (assuming nothing is trying to use more than the avail
7.
by hnipps 6mo ago
Here we go.
8.
by hnipps 6mo ago
I'm not surprised. I used the AI DJ twice, on separate occasions, and it played me the same songs, in the same order... Suffice to say I have not used it since.
9.
by hnipps 6mo ago
Why would anyone need this much context? Genuine question. It's not worth the drop in quality IMO.
10.
by hnipps 6mo ago
Well this is awesome. Seems like an awesome list type repo.
11.
by hnipps 6mo ago
> MARS also contains an AI-supported software brain called MindShare which not only replaces the missing pilot, but is also capable of coordinating entire mission groups by being distributed across many manned and uncrewed platforms. So