Numerous prompting will cause prompt fatigue, similar to pressing yes on a dialog boxes.
LLM, like fire is a powerful tool. Some people play with fire and achieved great things, some play with fire and got burned. A number of them achieved great things and got burned. We need to understand that and learn from our mistakes.
this is just regurgitating the manufacturer's claim. I believe it when I see it. Most of display energy use is to turn on the OLED/backlight. They're claiming, because our display flickers less, it's 48% more efficient now.
I don't think that's a realistic suggestion as as the quantity of applications are huge who are going to spend time reviewing them one by one. And and even then it's not realistic to expect that that undesirable things can be detected as these things can be hidden externally for instance or obfuscated
It's not 3x because of 3 runs; can be more token, can be less.
The way of thinking it is, telling Claude to tackle the problem 3 times, each time it may or may not use different approach, fix or improve on things it did previously.
Retail PCs will probably never catch up to even the open‑weight models (the full, non‑quantized versions). Unless there’s a breakthrough, they just don’t have enough parameters to hold all the information we expect SOTA models to contain.
That’s the conventional view. I think there’s another angle: train a local model to act as an information agent. It could “realize” that, yeah, it’s a small model with limited knowledge, but it knows how to fetch the right data. Then you hook it up to a database and let it do the heavy lifting.
Well, it depends on the hardware you have. If you have a hardware locally that can run best open models, then your local models are as capable as the open models.
That said, open models are not far behind SOTA, less than 9 months gap.
If what you're asking about those models that you can run on retail GPUs, then they're a couple years behind. They're "hobby" grade.