I do not get that, I get LOAD_CONST 500.
Tested on: Python 3.9.3 MacOS (Apple provided), 3.13.3 (uv provided) MacOS and Linux, and 3.14.0 (uv provided) MacOS and Linux.
Did you mean more instead of less?
Like with people in general, it depends on what compiler/interpreter we're talking about, I'll freely grant that clang is smarter than me, but CPython for sure isn't. :)
More generally, canonicalization goes very far, but no farther than language semantics allows. Not even the notorious "sufficiently smart compiler" with infinite time can figure out what you don't tell it.
Deleted Comment
But to what extent should we care for such a small website? The AI witch hunt won't get us too far, and this new way of producing is only getting started. The loss of control to a non-deterministic black box is worrysome, but at some point non-vibe coded (hard coded? brain coded?) software might become less error-prone that vibe-coded
* jobs not being picked up
* jobs not being able to be cancelled
* jobs running but showing up as failed
* jobs showing up as failed but not running
* jobs showing containers as pushed successfully to GitHub's registry, but then we get errors while pulling them
* ID token failures (E_FAIL) and timeouts.
I don't know if this is related to GitHub moving to Azure, or because they're allowing more AI generated code to pass through without proper reviews, or something else, but as a paying customer I am not happy.It's JSON-RPC, with some descriptors.
And some comments about OAuth 2.
The value is in the consensus. You can make a tool that agents can connect to with no apriori knowledge.
The value on MCP is not on its features or innovation, but on the rate of adoption it has had. Companies have now an incentive to open, document and standarize their APIs to enable this new distribution channel.