biwills
Joined 7 years ago
Joined 7 years ago
It was always the case that finding vulnerabilities in software was easier than writting perfect software. I'm hopeful that we can use AI to make software more secure over time. Project Zero [1] and others has shown many times the past few years (pre LLMs) that automated fuzzing and other forms of dynamic analysis are very effective, which bodes well for automated testing via LLMs!
I agree that more code = more bugs overeall, but there are slow moving codebases that run some of the worlds most valuable software. Seems like using AI to find vulnerabilities in that code is a huge win across the board.
[1]: https://www.google.com/search?q=site%3Aprojectzero.google&q=...
The chances that this would survive ICANN's dispute-resolution policy [2] is very low:
> (iii) your domain name has been registered and is being used in bad faith.
I don't think putting up a page asking for $1M would pass the "bad faith" test
1: https://x.com/polycoolintern/status/2090532162067918941 2: https://www.icann.org/resources/pages/policy-2024-02-21-en
Honest question, at what point is the Stack Overflow Developer Survey not representative of the average software engineer, many (most?) of who no longer use Stack Overflow?
Again reminded of what an amaizing piece of engineering S3 is (99.999999999% - 11 nines of durability) [1]
1: https://docs.aws.amazon.com/AmazonS3/latest/userguide/DataDu...
Shopify, Cloudflare, Zoom, Spotify, Roblox, and Coinbase are all notable examples.