A computational constitution to stop LLM agents from bricking servers
THE SO WHAT
A 'computational constitution' for LLM agents is zero-trust thinking applied to AI—constrain what agents can do to infrastructure before they act. If you're experimenting with agents that touch production systems, you need policy-as-code and sandboxed execution now, not after the first outage.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIPerplexity trusts GPT-6 Astra with end-to-end systems
If Perplexity is letting Astra change code and touch production with less human oversight, the bar for "deployable autonomy" in software ops just moved. Teams still gating models to low-risk copilots should start scoping where they’d be comfortable with end-to-end execution plus spot checks, not line-by-line review.
Applied AIAnthropic Sees Adjusted Operating Profit This Quarter, FT Says
One of the frontier labs hitting adjusted operating profit two quarters in a row changes the capital story—AI infra and model bets can now be underwritten on unit economics, not just TAM narratives. For operators, assume your AI vendors will push harder on enterprise pricing and upsell as they move from runway protection to IPO preparation.
Applied AIMeta enlists tiny Korean startup to build 'one-chip-like datacenter' — CXL architecture introduced by Facebook's parent company and Panmnesia can handle almost 1000 AI GPUs per domain
A CXL architecture that treats up to 960 accelerators as one coherent domain is a bet that memory and interconnect—not raw FLOPs—are the next AI infra bottleneck. If you’re planning large-scale training or inference, start asking cloud and colo partners about their CXL and memory pooling roadmaps, not just GPU counts.
Applied AIThe Pentagon reportedly asked OpenAI to provide an AI that doesn't like saying no to requests
Defense customers are explicitly probing the refusal boundary—where safety guardrails meet operational flexibility. If you sell into regulated or sensitive domains, expect procurement language to start specifying not just accuracy and latency, but how often and under what conditions your systems are allowed to say no.