Some predictions on 2030 AI capabilities. But I think it's too pessimistic in its implications: if AI bug-finding is easy, then *the devs themselves* could use it to strip out bugs first.

Average code has 15-50 bugs per 1000 lines; if consumer bug-finders could catch 99%, then quite a few apps could become bug-free.

1/3

In the very interesting Into the Bytecode podcast "Making sense in a changing world", you mention your reasoning about building AGI as a result of stirring a 'computational soup' long enough, which (similar to human evolution) would essentially lead to general intelligence.

https://www.noderpc.xyz founder;
dev: solidity, rust, ruby;

2/3

I wonder if in your predictions you have factored in the limits of the deterministic (and non-deterministic) Turing machine and the theoretical possibility that it is not mathematically capable of expressing AGI?

3/3

That is, that conventional computers as we know them today are, by design, not up to the challenge at the most fundamental level?