Hacker reverse engineers his Samsung TV and finds on-device AI listening for your dog and baby, watching what you watch, and borrowing your soundbar’s mic if the TV doesn’t have one. Then OpenAI banned him for reverse-engineering it.
Source:
Hacker reverse engineers his Samsung TV and finds on-device AI listening for your dog and baby, watching what you watch, and borrowing your soundbar’s mic if the TV doesn’t have one. Then OpenAI banned him for reverse-engineering it.
Source:
I’ve tried it. I find the responses of the Qwen models to be far inferior to the Gemma models.
Interesting, I had the opposite experience. Especially for tool calls. But I heard it depends on the use case: Qwen better at coding and tool calls, Gemma is better for prose.
Like all things llm, the quantisation makes the difference. Which, of course you need the vram for to have good results. Flash next works very well if you can run the higher quants.