Tried the "Dolphin 2.5 Mixtral 8X7B" LLM. It's an uncensored model, so it can tell you how to cook meth or make a nuclear bomb. But I don't have enough knowledge to let it tell me how to do it precisely.
Anyway, I noticed the LLM have different performance on different languages. Multi lang support is fairly normal for LLM nowadays, but English is significantly better than expensive languages like Chinese and Japanese. Not only on speed (one token can be one English word, or one Chinese character), but also the result. The model is fairly shy and doesn't spill out a lot in Chinese. If you force it to generate more details, it's just repeat the same thing. However in English, it gives a more detailed answer by default.
Make sure to feed your phone sound from UHF band, and readings of latin.
"in view of its ability to infect MIPS and ARM systems, it also poses a threat to #IoT devices"
Getting started with #LLM in Bash
"over 300 companies in China developing products using #RISCV"
https://jamestown.org/program/examining-chinas-grand-strategy-for-risc-v/
Anyone ever notice how air bubbles in, or droplets of, low surface tension fluids act very oddly. Speficially i notice they tend to not want to merge and in this case its really weird cause the bubble moves away from the surface as it moves down and the rube narrows. Its likely a sort of cappilary action at play or something.
#RISCV BL808 Peripherals look mighty similar to BL602
Article: https://lupyuen.codeberg.page/articles/ox2.html#appendix-uart-driver-for-ox64
GCHQ Christmas Challenge
RROS: Dual-kernel OS for Satellites (#RustLang RTOS)
Aqara Presence Sensor FP2: Sleep Monitoring, AI Person Detection and People Counting with mmWave
https://www.theverge.com/2023/12/12/23998677/aqara-presence-sensor-fp2-track-your-sleep
Boox Note Air3C: #Android E-Ink Tablet