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I bet my wife I could do our grocery shop in five minutes with AI. I was wrong

There is a lot more human input in this errand than I had thought.

I bet my wife I could do our grocery shop in five minutes with AI. I was wrong

We haven't written up this one. The Age has the full story — the link below goes straight to it.

Also reported by 1 other outlet

Read the original at theage.com.au →

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Building a Private Agentic OS with Local LLMs: Lessons from Eliza, Hister, and the Planning Problem

Originally published on tamiz.pro . Introduction We are witnessing a fundamental shift in software architecture: the transition from passive APIs to active agents.

  • Private agentic OS manage tasks locally using locally-hosted LLMs.
  • Architecture includes LLM layer, memory layer, tool/action layer, planner, and guardrail layer.
  • Planning Problem highlights difficulty in breaking down complex goals for LLMs.

My recent visit to Anthropic

I very recently participated in a two-day session to offer guidance on rewriting the constitution for Claude. The small group invited was uniformly excellent, we received serious time with key…

  • Attended two-day session to shape Claude's constitution.
  • Emphasized common law influence over rigid legal frameworks.
  • Proposed AI panel to assess constitution adherence.

Seedance 2.5 Prompting: A Practical Guide to Better AI Videos

Writing a good Seedance 2.5 prompt is less about adding more adjectives and more about giving the model a clear sequence of instructions. For example: A woman drinking coffee in Paris, cinematic.

  • Treat Seedance 2.5 prompt like shot brief, not image description
  • Structure prompt: Subject → Action → Environment → Camera → Visual Style
  • Break complex actions into smaller steps for clarity

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