“No matter what world we build, the limitations imposed in the law on what we know today as “the government’s” use of AI will be of paramount importance. We really do want to ensure that mass surveillance and autonomous weapons/systems of control cannot be used to curtail our
SAFETY
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Is AI Accidentally Killing People? A Critical Safety Question
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Is AI already killing people by accident? at @TheOfficialACM
: https://
cacm.acm.org/blog/is-ai-alr
eady-killing-people-by-accident/
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AI Agents Productivity: Balancing Security and Internal Policies
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AI agents can be game-changers, but how can they increase productivity if they are bound by internal policies? Watch this episode of the AI Security Podcast as @RubrikInc GM of AI Dev Rishi reveals how organizations can unleash their AI agents, without the risk 👉 go.rbrk.co/omquj6
→ View original post on X — @predibase, 2026-03-02 18:09 UTC
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AI’s Inevitable Reality: Beyond Normative Arguments
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I wasn’t making a normative argument. Of course I think this is bad. I was pointing out what will inevitably happen with AI in reality
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OpenAI’s Surveillance Agreement Raises ChatGPT Privacy Concerns
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BREAKING: “OpenAI agreed to follow laws that have allowed for mass surveillance in the past, while insisting they protect its red lines.” Translation? 1. OpenAI is full of shit 2. They may well turn over everything you ever typed into ChatGPT if the US government asks.
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Power asymmetry: entities with technological control dominate systems
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It’s not a two way street. The entity with the guns has the power. That’s the entire point of the article
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AI Alignment Beyond Politics: Structural Issues Matter Most
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I think that making decisions about AI that will resonate for the rest of our lives based on who is sitting in the White House is short sighted. This is about deeper structural alignment issues that exist irrespective of Trump or Amodei
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Super Powerful AI vs Government: The Real Alignment Problem
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I don’t disagree about other specific responses that can/should we use. I agree the current approach is extreme and, as I said, illegal. The point of the article is that no matter the president this is the real alignment problem: super powerful AI vs government.
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Context engineering is the new bottleneck
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the broader observation matters more than this specific paper. context engineering is quietly becoming the real bottleneck. not model capability, not training data, not inference cost. the unglamorous plumbing of what information reaches the model, when, and how. Anthropic
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Three Tiers of Persistent Context Explained
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the paper defines three tiers of persistent context, each with different lifecycles. scratchpads (/context/pad/) are temporary working notes scoped to a task. think of them as the agent's rough draft space. episodic memory (/context/memory/episodic/) holds session-bounded