There will always be a market for frontier labs in the cloud based models - these models will always be able to be bigger, and that will likely translate to doing things local models can’t.
Logically also we’ll likely get to a point where RAM drops in price as production ramps up, and local LLM is both capable and cost effective. This feels like it is coming for Siri / Gemini / Alexa personal assistant type use cases.
So I think the local LLM will become a thing in laptops and phones in a year or two, offering PA type use cases. Professional LLM services will likely remain at the frontier (and in the cloud) for the foreseeable.
There are workplaces that refuse to use LLMs because they fear the devs will expose sensitive data without care.
We will get to a point where prosumer laptops that etch SoTA LLMs in removable silicon will be as expensive as cars.
But there's a significant difference in hardware required between running a 3B parameter model and a 700B-1T+ parameter model.
This reads like a hallucination. What does native speed even mean?
(fable/sol are ~60 t/s, and OpenAI just announced their Cerebras partnership(?) for "ultrafast" mode of 750 t/s)
models aren't able to run that fast right now on our consumer/prosumer hardware. M5 Max for example has a memory bandwidth of 600 GB/s. a 5090 has 3x that, so running the same model on a 5090 is that much faster (provided the model is within 30GB).
running a bigger model on an M5 Ultra is still much slower than running it on a Blackwell chip with sufficient vram, CUDA being a major difference. if apple can bridge this gap, interesting things will happen... and just imagine if M7 Ultra has comparable speeds to Blackwell (or even Rubin)!
GPU Memory Bandwidth: 7.1 TB/s Interconnect Bandwidth: 900 GB/s bidirectional
https://pi3g.com/nvidia-gb300-specifications-including-memor...
If you think M7 will hit even 15% of these speeds you're very optimistic.
He did answer you though. Native is x10 the non-native speed. 50/50 that's not a bot; though it could be a meat-proxy
OC was registered in 2016 though? What do new accounts have to do with this?
The latest on Apple is TSMC is stuck on the next iPhone due to lack of RAM. Good luck getting any Macs. Memory shortage is getting worse.