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Comment Re:One thing I find sadly amusing (Score 2) 21

Is that really true? Many of the layoffs I've seen over the past year have been legitimately "removing layers", purging loads of fat in middle management.

Companies constantly go through cycles where they stretch to a very vertical structure with a manager for every three employees (exaggerating, but only slightly), and then there's the periodic flattening where they prune it out.

Comment Re:C'mon, Saudi (Score 5, Informative) 92

Nothing would make it “help get a little closer to making it a reality” if it’s not physically possible, and there’s a very strong argument that that’s the case. If nothing else, the maximum specific tensile strength allowed by covalent bonding - which is fundamental physics that we can’t change - combined with the reality of defects in a 36,000 km cable - is far below what’s needed to build a space elevator in Earth gravity. It might be possible to build a space elevator on the Moon or even (in the far future) on Mars, because their gravity is such that real materials could potentially do the job. But doing that involves bootstrapping an entire offworld industry, which is far beyond anything even the most advanced nations are capable of currently, let alone a technologically stunted oil state.

Comment Block china entirely (Score 2, Interesting) 14

Given that China doesn't allow everyday citizens unlimited access to the internet, we can assume the only ones allowed out are bad actors like badbot, so blocking China entirely would be a net benefit for the entire world. We'd have to get the VPN operators to cooperate, which is near impossible since they'd sell their own mothers for a quick buck.

Comment Re:A question for AI crazy management. (Score 1) 121

This matches how I use it. I’ll add a few other points:

4. Writing the first core version of a service or UI. I’ll typically use close to 100% of those generated lines, and then continue building with LLM assistance where it makes sense. It makes a big difference to development velocity.
5. Finding bugs. If some bug isn’t obvious to me, provide the code to an LLM and describe the problem. Its success rate is high.
6. Working with tech I’m not particularly familiar with (an extension of your #3, i.e. learning)
7. Writing documentation.
8. Reverse engineering existing code, i.e. describe some code to me so I don’t have to dig through it in detail.
9. Writing unit tests.

Comment Re:Cannot wait... (Score 1) 159

This is why code generating LLMs need to make heavy use of external tools.

Are you saying that ChatGPT, Claude, Deepseek etc. “make heavy use of external tools” to write code? Because they all write pretty good code, up to a certain size of program. Certainly far better than the average human, who can’t code at all; or the average software developer, who isn’t really very good.

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