zlacker

>>meetpa+(OP)
My frustration with using these models for programming in the past has largely been around their tendency to hallucinate APIs that simply don't exist. The Gemini 2.5 models, both pro and flash, seem significantly less susceptible to this than any other model I've tried.

There are still significant limitations, no amount of prompting will get current models to approach abstraction and architecture the way a person does. But I'm finding that these Gemini models are finally able to replace searches and stackoverflow for a lot of my day-to-day programming.

>>segpha+J4
> no amount of prompting will get current models to approach abstraction and architecture the way a person does

I find this sentiment increasingly worrisome. It's entirely clear that every last human will be beaten on code design in the upcoming years (I am not going to argue if it's 1 or 5 years away, who cares?)

I wished people would just stop holding on to what amounts to nothing, and think and talk more about what can be done in a new world. We need good ideas and I think this could be a place to advance them.

>>jstumm+jH
> It's entirely clear that every last human will be beaten on code design in the upcoming years

Citation needed. In fact, I think this pretty clearly hits the "extraordinary claims require extraordinary evidence" bar.

>>DanHul+2P
I would argue that what LLMs are capable of doing right now is already pretty extraordinary, and would fulfil your extraordinary evidence request. To turn it on its head - given the rather astonishing success of the recent LLM training approaches, what evidence do you have that these models are going to plateau short of your own abilities?

>>sweezy+k61
On Limitations of the Transformer Architecture https://arxiv.org/abs/2402.08164

Theoretical limitations of multi-layer Transformer https://arxiv.org/abs/2412.02975

>>namari+5a2
Only skimmed, but both seem to be referring to what transformers can do in a single forward pass, reasoning models would clearly be a way around that limitation.

o4 has no problem with the examples of the first paper (appendix A). You can see its reasoning here is also sound: https://chatgpt.com/share/681b468c-3e80-8002-bafe-279bbe9e18.... Not conclusive unfortunately since this is in date-range of its training data. Reasoning models killed off a large class of "easy logic errors" people discovered from the earlier generations though.

>>sweezy+4c2
Your unwillingness to engage with the limitations of the technology explains a lot of the current hype.