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MacBook M5 Pro and Qwen3.5 = Local AI Security System

sharpai.org

131–140 of 162 posts

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#131

Earlier quoted context omitted.

The used model is 9B even with a big context you can easily run it on 16GB. You don't need a $2500 machine for it.

For coding and personal assistance the context window on 16GB is not good enough. Ideally I want a context window of 100k.

This is starting to feel like a conversation where the goal posts keep moving, but a Mac Mini with 32GB of RAM starts at $999

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#133

Why is there so much interest in local AI systems, am I missing something? Cloud providers have scale and expertise that would allow for much bigger throughput at lower costs. The small latency gains will be nice, but ChatGPT and Claude already come through blazingly fast via their API.

LLMs are powerful systems that eventually may be a requirement for being able to economically participate in a large portion of the economy. For this and other reasons it's important that people are able to control their own LLM.

Look at how much Google has changed over the years in the pursuit of profit. What will ChatGPT and Claude look like when they are pushed further down the profit maximization path?

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#135

The M5 Pro just dropped, so here's a real AI workload instead of another Geekbench score. We run Qwen3.5 as the brain of a fully local home security system and benchmarked it against OpenAI cloud models on a custom 96-test suite. The Qwen3.5-9B scores 93.8% — within 4 points of GPT-5.4 — while running entirely on the M5 Pro at 25 tok/s, 765ms TTFT, using only 13.8 GB of unified memory. The 35B MoE variant hits 42 tok…

Thanks for sharing the results, but it's getting hard to cut through all of the AI generated hype on the page and in your comments to understand what's being testing.

Between the all the em-dashes, this:

> Zero API costs, full data privacy, all local.

and the way your comments have completely different voices it's pretty clear that you're letting AI write some of your HN comments, too.

Is there some place we can quickly go see what's actually being tested? The landing page has non-clickable entries for the categories

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#136

Earlier quoted context omitted.

I don’t think there’s anything different between what you’re suggesting and a homelab. Most people do not have a homelab and are happy to offload services like photo storage or security to remote providers.

I'm thinking 'everyone needs an air conditioner', kinda need. Instead of 'some nerds run servers'. And this 'ac' is your 'ai'. Maybe even subsidized by the government. This will be a fundamental need.

Hard to make an AC 500km away cool down my home. An AI doesn't really need to be in my flat. Not that I have the space for a server rack anyways.

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#138
post #19

Can’t take it seriously due to the ai-generated site. Sorry. Try just writing a simple plain text file instead

landing page is not so optimized for non m5 users..

We do have multiple platform tested, like AMD , Nvidia , Windows / MAC. Will get better user experience on the landing page soon.

Re: MacBook M5 Pro and Qwen3.5 = Local AI Security System

#140

The M5 Pro just dropped, so here's a real AI workload instead of another Geekbench score. We run Qwen3.5 as the brain of a fully local home security system and benchmarked it against OpenAI cloud models on a custom 96-test suite. The Qwen3.5-9B scores 93.8% — within 4 points of GPT-5.4 — while running entirely on the M5 Pro at 25 tok/s, 765ms TTFT, using only 13.8 GB of unified memory. The 35B MoE variant hits 42 tok…

Thanks for sharing the results, but it's getting hard to cut through all of the AI generated hype on the page and in your comments to understand what's being testing. Between the all the em-dashes, this: > Zero API costs, full data privacy, all local. and the way your comments have completely different voices it's pretty clear that you're letting AI write some of your HN comments, too. Is there some place we can quic…

The comments are actually done by me... The benchmark suit is here:

https://github.com/SharpAI/DeepCamera/tree/master/skills/ana...

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