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talljeff68

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The Agents Shared Cognition Protocol (ASCP)

github.com
1 points·by talljeff68·há 7 meses·4 comments

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talljeff68
·há 7 meses·discuss
Thank you for the thoughts. Relative "made up words", what if the concepts reference things that didn't exist before their definition in these specifications?

ie: At one point "hyperlink" and "Uniform Resource Locator" were made up words. No different that say "web log" (blog) and "Client-Server Architecture" were being made up as well.

I contend that both "Artipoint" and "Cortex Layer" have similar parallels in the sense they refer to concepts newly formulated or at least are captured into a formalism with a label for the first time!
talljeff68
·há 7 meses·discuss
ASCP is a draft specification suite for a protocol to support persistent, structured context shared between humans and AI agents. It defines an immutable articulation grammar, a secure distribution layer, and a local-first append-only log sync model.

The work is still in draft form, but substantial: multiple detailed specifications are included, and we’re actively iterating across the grammar, security model, and synchronization layer. It’s not “finished,” but it’s well beyond half-baked.

We welcome contributions and feedback from collaboration-tool builders, protocol designers, distributed-systems engineers, and security/cryptographic reviewers who are interested in advancing an open, vendor-neutral standard for durable shared context.
talljeff68
·há 8 meses·discuss
Yes, I enjoyed the article as well and good for the non-technical reader.

I think of framing AI as having two fundamental problems:

- Practical problem: They operate in contextual and emotional "isolation" - no persistent understanding of your goals, values, or long-term intent

- Ethical problem: AI alignment is centralized around corporate values rather than individual users' authentic goals and ethics.

There is a direct parallel to social media's failure - platforms optimized for what they could do (engagement, monetization) rather than what they should do (serve user long term interests).

With these much more powerful AI systems emerging, we're at a crossroads of repeating this mistake...possibly at catastrophic scale even.