Viewing profile — aegis_camera
aegis_camera
HN member- Joined
- Wed, Mar 18, 2026, 3:57 AM UTC
- HN karma
- 107
- Public activity
- 58 items
- HN profile
- View on Hacker News ↗
About aegis_camera
Recent public activity
- story
-
comment
Comment #47607251
Thanks, we are not large R&D lab, limited resources. We were working on a product with is a Local VLM first BYOD when you want Video Security application, our users requested to ha…
-
comment
Comment #47607176
Tried, but wrong time to post, it got zero attention . :)
-
comment
Comment #47606393
One of my user requested MLX comparison with GGUF, he wanted to run the benchmark, I was thinking about how to get MLX support without bundling the python code together with SharpA…
-
comment
Comment #47606245
Here is a reference https://www.sharpai.org/benchmark/ For specific tasks, local model could achieve workable level.
-
comment
Comment #47606237
Thanks, pure Swift was the design idea and since I found nothing could be used for my project https://www.sharpai.org then I created Swift version. Python is too heavy to be delive…
-
comment
Comment #47606185
https://www.sharpai.org/benchmark/ The MLX part is what we've done with SwiftLM, the local result is still being verified more details are on-going.
-
comment
Comment #47606167
I've ran this on an IPHONE 13 pro (6GB) memory, QWEN 3 1.7B runs good. So local will get more intelligent for the task you want it done soon or already.
-
comment
Comment #47606113
Yes, I've ran it on IOS, IPHONE 13 pro beside M5 pro, I'll test it on my M2 Mini and M3 Air.
-
comment
Comment #47606054
the Python mlx-metal trick is actually what's crashing it. The mlx.metallib from pip is a different version of MLX than what your Swift binary was built against. It gets past the s…
-
comment
Comment #47605950
git clone https://github.com/SharpAI/SwiftLM # no --recursive needed cd SwiftLM swift build -c release ### Please let me know if this fix the issue: # Copy metallib next to the bin…
- comment
-
comment
Comment #47605777
[flagged]
-
comment
Comment #47605682
Yes, this is a reference project, the main different is we don't use os swap ( it introduces latency, will add https://github.com/danveloper/flash-moe to the original reference as …
-
comment
Comment #47605650
I'll add more details. We just wired up the pipeline on both MAC and IOS.
- comment
-
comment
Comment #47604383
We implemented two techniques to run massive 100B+ parameter MoE models natively on the M5 Pro 64GB MacBook Pro: TurboQuant KV compression: We ported the V3 Lloyd-Max codebooks fro…
- story
-
comment
Comment #47604191
Thank you for your feedback.
-
comment
Comment #47597182
[dead]
- story
-
comment
Comment #47496267
I see, so connect to the existing HA will be the priority.
-
comment
Comment #47461736
Hi, thanks for your bug report, we had a fix and uploaded to the following GitHub release page, we are working on more testing meanwhile: https://github.com/SharpAI/DeepCamera/rele…
-
comment
Comment #47461150
[flagged]
-
comment
Comment #47460560
I don't know if I can post the email here hopefully hn doesn't filter it out: service at sharpai.org