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If your company cares enough/will allow it, make a written policy that authors are responsible for their code and they must still meet whatever quality bar existed at your company pre-LLMs. It's awkward, but I've seen friends whose companies have started to make it normal to say "I'm not reviewing this, it was clearly written by AI" the same way pre-LLMs you could also say "I'm not reviewing this because it's 5k LoC and needs to be split up into smaller reviews".

Then if people send you slop you can either point them to the guidelines or, if they don't stop, report them for violating workplace rules and make them suffer.


Khosrowshahi is full of shit 99.9% of the time but this is one of the few, maybe only, layoff letters that actually makes sense and names specific things that seem reasonable (other than forcing RTO), and it doesn't mention AI at all, which is refreshing. Still, sorry for anyone who was laid off.

I see this appearing in the comments of code sent to me for review every day. People have told me I'm too picky/pedantic because I ask What does this mean? Apparently the author and other reviewers are way smarter and understand it, or they don't care. I've given up battling code slop, but can't see myself ever tolerating comment slop like this.

If you're able to, find a random NPR broadcast from 20 to 30 years ago and marvel at how it could be replayed nearly verbatim today. "Inflation", "war in the Middle East", "Congress stalled on xyz." Even the "unprecedented" political correctness and racial reckonings in the US observed around 2020 were not uncommon in the 1970s and 1980s (see the Stanford Beethoven poster incident which also left students literally fainting and crying in hysterics).

"B-b-but this really is new!" The USA did have a Civil War. It was so violent that it killed more Americans than all other wars combined.

Message unclear. You're saying the USA is an old hand at civil wars now and could do another one any time, no problem? Or perhaps I shouldn't look for a message.

I misconstrued "new" with "this is the worst it's ever been."

The alternative is that they lay off everyone because the entire team doesn't have metrics for the work they've done. The kind of person to single someone out who hasn't been tracking their work may not be likely to just up and forgive the entire team if they've all done it that way.


"At some point"

Hinton said 10 years, what do you say? Could you maybe take from his prediction being wrong that you should practice some humility? Of all the pro-AI arguments people make, the "eventually it will happen" one is one of the strangest. Yes, and eventually the sun will blow up, so what the fuck are we talking about here? Most smart people ten years ago thought truck drivers, cab drivers, radiologists, and customer support would be obsolete by now, hasn't happened.


Where Hinton was right: AI has and will continue to significantly change the field of radiology including making radiologists more productive.

Where Hinton was wrong: He figured if each radiologist could do twice as much work we'd only need half as many and therefore there would be an oversupply of them. Instead what happened is we now do three times as much radiology. I went over the economic reasons for this in the other comment.

I dont think its correct to say Hinton was wrong on his core claim that AI will radically change radiology, he was just wrong about what that looked like.


He said that "People should stop training radiologists now" because there were enough radiologists already and the profession would be obsolete in the future. He said nothing about productivity or getting more work done. He said radiologists would be replaced. He was arrogant and didn't understand the scope of what radiologists actually do, which is more than just look at pixels.

It's obvious that deep learning did/would radically change the part of any job that required analysis of patterns or images. The core point of the OP is exactly the claim you're making, which is that you seem to think that all a radiologist does is either look at images or "sign off" on what AI has done after looking at the pixels.


Radio0logists have been replaced by AI. Its just that we do so much more radiology now that we need way more of them


Yelling at an animal is cruel because they can't understand you and they experience feelings. They are the exact opposite of an LLM, which you should feel fine about berating and yelling at.


For much of history, humanity was very confident that animals lacked minds or conscious experience. Descartes famously regarded them as mindless machine…

I don’t think LLMs are conscious but I’m still nice to them because it makes me feel bad when I’m rude to them.


The OP is literally an explanation of why you should not do this, using ASD-STE100 Simplified Technical English as an example of what not to do.


Agreed, I have never raged at a model until Opus 5. It's like a cocky fresh graduate who thinks everything it says is majorly profound, and if you can't keep up with its slang and jargon then that's on you. Newer models are clearly favoring complexity, perhaps because the demand for long-horizon tasks is so high and complexity is required there, but a frontier model that favors simplicity and clarity above all else (in communication and the code it creates) would be a major differentiator. To me, this is a case that models have plateaued. The vast majority of the time, an Opus 4.6-tier model (or any of the newer open weights models) will do just fine.


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