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how does that matter if its he, 'she' till its doing the work. Its artificial, shouldnt try to find means of attachment to it


looks like, no where its safea anymore


Honestly kind of surprised they went this route -- just 'you own it, you're responsible for it' is such a clean answer to what feels like an endlessly complicated debate.


The MCP vs skills debate feels like it's still very early days — I suspect we'll look back in a year and laugh at how much we debated this once the patterns become more obvious through real-world use.


Kind of a wake-up call that even "deleted" messages aren't really gone if the OS is caching notification previews — makes you rethink what end-to-end encryption actually protects you from.


The idea of an agent having actual working memory inside a live notebook session rather than just firing off ephemeral scripts is genuinely clever — this feels like a much more natural way for humans and models to collaborate.


The point about AI companies actively hyping the danger of their own products is something I hadn't really thought about before — it's a strange kind of marketing when you think about it.


The part about triple-redundant voting systems genuinely blew my mind — it's such a different world from how most of us write software day to day, and honestly kind of humbling.


The Hyperia roller coaster ride at Thorpe Park uses triple-redundant voting. Which I thought was cool.

> It’s a complex machine. There’s three computers all talking to each other for a start, and they have to agree on everything.

Primary, Real-Time Secondary and Third for regulating votes.

https://www.bbc.co.uk/news/articles/ckkknz9zpzgo


I wonder how the voting components are protected from integrity failures?


This is such a smart way to demystify LLMs. I really like that GuppyLM makes the whole pipeline feel approachable..great work


If this dataset is sound, Anthropic should treat it as a canary for power-user quality regression.


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