HotHotLava
Joined 6 years ago
Joined 6 years ago
The human developer+compiler+linker toolchain isn't free of bugs either, some percentage it will produce code that fails loudly and sometimes it will produce code that has silent bugs, be it due to wrong source code or due to compiler or linker bugs.
Just yesterday I tried out Gemini again after a while, and it was not able to open Google Maps in navigation mode to the destination i wanted.
For the purposes of writing this comment, i asked it to put on some Jazz in Youtube (i have youtube music with a premium account on the same device and same google account) and it started a Spotify Jazz playlist.
Google might still have the popular products from 20 years of history, but after years of them trying there's no indication whatsoever that they have the ability to shape it into a coherent product.
This is basically aimed at AI startups who are in SF anyways and need a platform for marketing. So no shortage of contestants.
But I don't see why this needs to be done on a state-by-state level, a sovereign EU model seems to be much more realistic in terms of funding.
It means risk that the software stops working after an update. Which usually trades off iteration speed and best practices (i'm pretty sure the average startup has way better security practices by just delegating to google/aws than the average manufacturing software business) in exchange for a rigorous testing and rollout schedule.
So I'm also not sure that the article has a point at all, the human writing the code was never relevant to avoiding the "risk" in these industries in the first place.
Not in the world mathematicians have been living in for the past decades at least. Nearly all big theorems that have been formalized so far had been published beforehand, and it was usually regarded as a step up in rigor. Wrong results get published in peer reviewed journals all the time.