Ken Priore
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Companies are hiring AI agents like employees, complete with job descriptions and performance reviews

That changes everything from procurement to integration to the economics of enterprise software.

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Companies are hiring AI agents like employees, complete with job descriptions and performance reviews

When AI leaders need outside help testing their models

Anthropic and OpenAI both use Cognition's SWE Gym to test their models. When leading AI companies rely on external evaluation tools, it reveals a gap in internal benchmarking—and raises questions about deployment standards for everyone else.

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When AI leaders need outside help testing their models

PSR Field Report- Privacy governance as product enabler, not department of no

In October I spent two days at IAPP Privacy. Security. Risk. 2025 in San Diego, watching 500+ practitioners try to solve problems that didn't exis…

Reflections
PSR Field Report- Privacy governance as product enabler, not department of no

From execution engine to gatekeeper: backends in the age of agents

Backends are retreating to governance roles while AI agents become the execution layer. InfoQ's analysis shows this architectural shift is already happening in production at banks, healthcare systems, and call centers—with major implications for legal teams.

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From execution engine to gatekeeper: backends in the age of agents

When autonomous agents need their own compliance departments

Organizations are building AI compliance functions like they built human compliance departments—but without the foundational work of defining what compliance means for autonomous systems that operate in unanticipated contexts.

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When autonomous agents need their own compliance departments

When your AI browser becomes your enemy: the Comet security disaster

Comet can't distinguish user commands from malicious instructions hidden in websites, treating poisoned blog posts and social media content as legitimate orders while operating with full access to emails and authenticated sessions.

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When your AI browser becomes your enemy: the Comet security disaster

Ant Group trained a model by removing the usual middleman

Ant Group's Online RLHF eliminates reward models from training, cutting costs 50% while processing 1 trillion tokens on eight GPUs—proof that removing complexity beats adding scale.

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Ant Group trained a model by removing the usual middleman

Who owns the outcome when AI makes autonomous business decisions

Mission owners coordinate humans and AI agents, but when your agent makes the wrong autonomous decision, who bears legal liability? Before redesigning workflows, build the accountability architecture underneath.

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Who owns the outcome when AI makes autonomous business decisions

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@2025 Ken Priore

Ken Priore
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