1saadcodes

5 ore fadiscuss

I suspect the debate shouldn't be LLMs or no LLMs, but rather what level of human accountability is required.

We've accepted compilers, static analyzers, and code generators because the maintainer is still responsible for the final result. The interesting question is whether LLMs fundamentally change that responsibility, or just change the kinds of mistakes reviewers need to look for

1saadcodes

5 ore fadiscuss

I'd be interested to see whether this comes with a replacement for legitimate use cases. Removing a capability without offering an alternative tends to push developers toward even more fragile or in some cases "rule breaking" workarounds

1saadcodes

5 ore fadiscuss

I like that the conversation is moving beyond prompts, but I also hope the underlying principles stay portable. If "context engineering" becomes glued with one vendor's tooling, it'll be harder for developers to build workflows that transfer across models.

But well knowing these big AI companies that probably is their goal all along. To lock us to themselves

1saadcodes

l’altro ieridiscuss

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1saadcodes

l’altro ieridiscuss

I wonder how much of this is handwriting versus simply removing distractions. A notebook doesn't have notifications, tabs, or an autocomplete constantly trying to finish your thoughts. I hope to to see studies comparing handwriting with typing on a distraction-free device

1saadcodes

l’altro ieridiscuss

Cases like this are heartbreaking, but they're also a reminder that failures like this ones need to be published just as prominently as success. Gene editing is still a young field, and if negative outcomes remain hidden, other researchers can't properly assess risks or make improvements

1saadcodes

4 giorni fadiscuss

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1saadcodes

4 giorni fadiscuss

I agree with this, but I'd add that good judgment comes from experience. Before you can evaluate whether AI-generated code makes sense, you need to have written enough code yourself to recognize the trade-offs and failure modes. AI is an incredible productivity multiplier, but it can also make it much easier to move quickly in the wrong direction without even knowing that you are moving in the wrong direction

1saadcodes

4 giorni fadiscuss

Nice to see that it's cheaper than 3.5

1saadcodes

6 giorni fadiscuss

I've a local dictation workflow for coding, and one thing I've learned is that transcription accuracy is only half or even less than half the problem now. The other half is latency. Once the delay gets low enough that you stop noticing it, voice input starts feeling much more natural. It'll be interesting to see where this lands compared to Whisper-based setups for continuous dictation

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