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Joined 1 year ago
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Cake day: June 22nd, 2025

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  • I self host both at home and at work.

    At work (for completion and generation) we have a now quite old A6000 running mainly Qwen 3.6 (though I’m trialling 3.8 from Monday) with OpenClaw as the harness. The use case is mainly triage and pre-work on bugs. We have an agent which can be given an exception report with a bunch of information like stack trace and local variable values and it will go off and gather the required code, order files, and data to analyse the issue and come up with a fair idea of the cause and possible solution. This saves devs and support team time. Also looking at adding a PA agent to this which will be able to read emails and calendars and be able to set up (with approval) meetings and move things around and generally make someone’s life a bit less admin-y without having to hire a full PA role.

    Also technically in the AI space we have a fleet of Pis with Hailo AI hats running object and anomaly detection in visible and LWIR spectrums for QC





  • Maybe? If you poison the prompt then there’s evidence and it can be undone. Poison fragments of the source training data, however, and that’s some KT shit right there. Enterprise foundation models cost bonkers money to train and pretty much slurp up all the data on the internet for mostly automated annotation. Stick something in an obscure part of the internet which becomes part of the training and produces the malicious response and it’s going to be both hard and expensive to detect or correct.