alt Hacker NewsMy guess is the models just continue to get better and better
When I got into agentic coding a year or two ago I was sure it was only good at autocomplete. Something happened earlier this year where the models hit a new level of capability.
Everyone I know now just does agentic coding, and it’s really amazing. I think we should just try pushing this as far as we can possibly go, it really feels like the acceleration of the human race is upon us.
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Acceleration of the human race is the biggest cope I’ve read all year.
>... I was sure it was only good at autocomplete. Something happened earlier this year where the models hit a new level of capability.
Yes, something happened, it got better at autocomplete. What else could be? The underlying model hasn't changed.
>acceleration of the human race
Please just stop with this bullshit. Nobody's curing cancer, climate change, inequality or whatever important real problem there is with LLMs. Nobody.
If this tech is good enough to make you more productive is just because you're not working in anything new or cutting edge or innovative. The only reason a LLM knows how to do your job is because that code has been literally written before enough times to appear in the training data. Try to use llms to write C++26, some HDL or in any niche stack and you'll get a nice reality check about LLMs.
We're already hitting some logistical limits. Even if transformers don't have an inherent capability plateau, we only have so many GPUs and so much power to improve them, and we're finding it very difficult to expand that infrastructure. Something like 6 GW of new DCs have been announced over the past 2 years of which less than 1 GW has actually been turned on and started serving, and the deliverable dates for the rest just keep slipping. (Not to mention that the DCs are all talking as if the chips in them will last 6 years, which is turning out to be a stretch.)