Apple Silicon and macOS VMs: Faster LLM Inference with llama.cpp
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Self-hosted Laravel monitoring powered by laravel/nightwatch telemetry. Keep months of history in your own PostgreSQL with flat pricing from $5/month. The post Laravel monitoring that doesn't bill you by your traffic appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
You can now see a per-model breakdown of the tokens behind your AI credits in the usage report. For each model, the AI usage report shows the input, output, cache… The post Per-model token breakdown in the usage report appeared first on The GitHub Blog.
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SAP released 28 new and two updated security notes, including four notes dealing with critical-severity bugs. The post SAP Patches Critical Code Injection, Memory Corruption Vulnerabilities appeared first on SecurityWeek.
The Water Watch Center launched at DEF CON aims to help under-resourced utilities protect their systems against hackers. The post US Water Systems Get Cyber Boost From New Senate Bill and ‘Water Watch Center’ appeared first on SecurityWeek.
Over the past year, I've been rebuilding parts of an incident response stack for a client, and the biggest surprise wasn't the AI features themselves. It was how much of the underlying workflow had to change to make those features useful. You can't just bolt an LLM onto a 2015-era ticketing tool and call it AIOps. The queue structure, the alert taxonomy, even the way runbooks are written all need to change. I've written before about the agent side of this shift, in AI Agent Architectures: Patter
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