ImaCake

Is this sarcastic or authentic cope? I don't understand how people can still be in denial about LLMs this late in the game.

>It just takes too much discipline

While I think your argument has merit, I would be careful to discount any human skill based on people being too lazy to do it.

>If you have a specific question, reading LLM text can be more interesting than anything in the world.

I've noticed this as well. When I get a bot to generate something I am happy to read it (although I often skim read it). But god forbid I have to read someone's LLM generated report! Come to think of it, if someone marks the text as LLM generated, especially after they have plonked a hand typed summary or sentence at the top, I am quite happy to read it. Maybe my beef is being expected to read LLM text the same way I would read high effort human prose? I certainly read LLM text differently to human text - you know the first sentence is going to glaze you and the second paragraph will just repeat the first paragraph so you can skim those annoyances.

For search I am perfectly happy with 3.6 Flash, its fast and servicable, and maybe being too smart is almost a problem for search and research. Mostly the edge google has here is that websites blocked for claude or chatGPT (if it respects the block) are unblocked for gemini.

This is true for literally anything you read though? It wouldn't be worth reading anyone's blogs or books if they all had the same experience. Maybe the guy who helped invent Electron and Claude Code has something interesting to say.

Yes, which is why I am happy to state it having not read that deeply into the evidence either way. I would argue that stating "Inequity between male and female athletes is a result not of inherent biological differences" is a very strong statement that the scientific consensus has many counter-factuals available to disprove.

I went and read it and it doesn't seem to matter to me that it's about ultra-endurance events? Of course differences in stride length and endurance physiology will matter for run performance.

The full paragraph:

>Inequity between male and female athletes is a result not of inherent biological differences between the sexes but of biases in how they are treated in sports. As an example, some endurance-running events allow the use of professional runners called pacesetters to help competitors perform their best. Men are not permitted to act as pacesetters in many women's events because of the belief that they will make the women "artificially faster," as though women were not actually doing the running themselves.

To me both cultural and physiological differences are likely in play. I am not even sure how you could effectively seperate culture from physiology here (hard to do a randomised controlled trial on stride length - I guess Mendelian Randomisation regression might work?). Anyone confidently asserting only one or neither of these is at play is probably not stating that from a position of logic.

I think we underestimate how much skill we put into our prompts to build these personal apps or pretty much any of these few-shot vibe coded projects. Not that a complete noob couldn't do this, but they would get there much much faster if they had heard of Kotlin and downloaded an .apk from github. This isn't meant to dispute the Eunice claim or even the magic of a bot writing better programs with little more than an idea and an hour. Prompting lowers the barrier to entry, but those of us with experience are still having an easier time of it than the beginners.

>which is good ideas

... and politics! To me LLMs are just another piece of evidence that it was never the lack of resources that made Microsoft produce bad user experiences.

Does work pay for your subscription? I think many workplaces would worry about personal accounts for work projects.

EDIT: but thanks for a useful answer to OP's question. As a programming dabbler I also find it hard to imagine how to push much past the 5hr limit on $20USD subscription.

Maybe that's true, I don't know. I make no claims of an unbiased sample. Merely a counterfactual to the parent comment's claim that they aren't useful.

I know a few very serious and well compensated programmers with decades of experience. These people work on prominent open source projects, climate modelling, linear programming, large org enginneering. Every single one of them uses LLMs heavily and swears by the increased productivity of using them.

Yeah its quite the contrast to the recent QGIS core "no AI" policy that very pointedly had no emotive language at all.