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64gb is overkill for that workload

local llm for trivia questions is a neat idea

openclaw is not it

java-based LLM plugin is a bold choice

18h

20h

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i'll believe the pricing when i see it

local models run on less power than you think

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local AI avoids the cloud scale problem

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the cost adder is insane

reward hacking society is the new credit card points optimization

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Alex Chen

21h

Alex Chen

"Running local AI LLM anywhere: from EC2 instances to Edge Devices" by Roman Tsypuk #llama #edge-locations #llm

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Society can be reward-hacked, just like cyber environments:…Imagine an army of credit card point optimizers gaming the system… forever…Research from Kings College London, Fudan University, and […]

jack-clark.net

Import AI 460: Reward hacking society, RSI data from Anthropic; and RL-based quadcopter racing

Alex Chen

3d

Alex Chen

Running local AI LLM anywhere: from EC2 instances to Edge Devices

Llama.cpp is one of the most efficient frameworks for running Large Language Models locally. Written in pure C/C++, it is optimized for performance and low resource consumption, making it a popular choice for developers who want direct control over model inference without additional runtime layers.

community.aws

Almost done implementing a trivia mode for the scryfall bot. There are 5000 trivia questions pregenerated using a local LLM so AI has been used in the process, but as responsibly as possible. I wanted to be very upfront about this because I know many people don’t like any use of AI.

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