Is this a belt-and-suspenders solution?
I don’t think saving them from spying is the main concern. Instead it’s the direct negative effects of the usage upon the kids that’s the concern. Not that age verification isn’t problematic
Why not Bazel?
Then why did curl only find one new vulnerability thanks to Mythos, and a low-priority one at that? It’s clear that other models are quite capable of finding largely the same vulnerabilities, and that the main key is…
The only thing that can topple Patagonia is Pattie Gonia
This isn’t moving beyond fork and exec at all. It’s adding a complicated API for a marginal gain for a niche use case, and ignoring the actual big bottleneck of fork
This seems like the kind of profession that AI would’ve already destroyed. Aren’t LLMs pretty good at what he’s doing?
How much have LLMs sped up these decompilations?
I just vibe code the html and css. I review the JS, but I figure if the flow of data is correct, I can just verify the html/css code through manual testing
[flagged]
Do you believe the immigrants in Ohio are eating the pet dogs? Because Trump sure does.
What’s the limit on badges in a README
Are these Swift 6.3 bricks, or legacy ones?
AI seems somewhat orthogonal. It may have sped up the timeline, but the people using it need to be competent in the first place.
This seems quite over engineered. They could’ve just left their phone recording overnight and done much simpler analysis on the big file. Maybe leverage LLM to write a 20-line python script, at most
One thing I’ve been wary about with Rust for CUDA is the bit of overhead that Rust adds that is usually negligible but might matter here, like bounds checks on arrays. Could it cause additional registers to get used,…
They’re more of a D4vd fan
Is this a belt-and-suspenders solution?
I don’t think saving them from spying is the main concern. Instead it’s the direct negative effects of the usage upon the kids that’s the concern. Not that age verification isn’t problematic
Why not Bazel?
Then why did curl only find one new vulnerability thanks to Mythos, and a low-priority one at that? It’s clear that other models are quite capable of finding largely the same vulnerabilities, and that the main key is…
The only thing that can topple Patagonia is Pattie Gonia
This isn’t moving beyond fork and exec at all. It’s adding a complicated API for a marginal gain for a niche use case, and ignoring the actual big bottleneck of fork
This seems like the kind of profession that AI would’ve already destroyed. Aren’t LLMs pretty good at what he’s doing?
How much have LLMs sped up these decompilations?
I just vibe code the html and css. I review the JS, but I figure if the flow of data is correct, I can just verify the html/css code through manual testing
[flagged]
Do you believe the immigrants in Ohio are eating the pet dogs? Because Trump sure does.
What’s the limit on badges in a README
Are these Swift 6.3 bricks, or legacy ones?
AI seems somewhat orthogonal. It may have sped up the timeline, but the people using it need to be competent in the first place.
This seems quite over engineered. They could’ve just left their phone recording overnight and done much simpler analysis on the big file. Maybe leverage LLM to write a 20-line python script, at most
One thing I’ve been wary about with Rust for CUDA is the bit of overhead that Rust adds that is usually negligible but might matter here, like bounds checks on arrays. Could it cause additional registers to get used,…
They’re more of a D4vd fan