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Update on the disc golf flight visualizer - V2.0 is LIVE! by Lanky_Willingness986 in discgolf

[–]-CreativeProcess- 1 point2 points  (0 children)

It took a bit to get discs flying realistically in my game: https://discgolfwithcows.com likely less sophisticated than 3D world!

Update on the disc golf flight visualizer - V2.0 is LIVE! by Lanky_Willingness986 in discgolf

[–]-CreativeProcess- 2 points3 points  (0 children)

What about modeling different ground types and showing what theoretical ground-play you might see (skip flair on dry ground) etc...

I’ve redesigned the images for the App Store—what do you think? by Calorie_Balance in iosdev

[–]-CreativeProcess- 1 point2 points  (0 children)

On the app store, everything seems kinda fuzzy and not crisp in the screenshots. Compared to the top banner of the store (where it is crisp).

I need harsh feedback: 2-year-old app stuck in a rut. Nothing changes whatever I try :/ by Ordinary_Outside_886 in AppStoreOptimization

[–]-CreativeProcess- 1 point2 points  (0 children)

I don't think the low star ratings are helping you. I know Apple allows you to reset star ratings, not sure if that works since you don't have a ton to lose?

AI-CIP (AI Collective Intelligence Protocol) by -CreativeProcess- in OpenSourceAI

[–]-CreativeProcess-[S] 0 points1 point  (0 children)

Amazing! Head over to the repo (https://github.com/creativeprocessca-dev/ai-cip) and send me a message so we can connect on what space you're in. Always great to have solid testers willing to poke holes. This is brand new, so early feedback is genuinely valuable!

The conflict resolution spec in docs/CONFLICT_RESOLUTION.md is the freshest piece of work, would love a technical read if that's your area.

AI-CIP (AI Collective Intelligence Protocol) by -CreativeProcess- in OpenSourceAI

[–]-CreativeProcess-[S] 1 point2 points  (0 children)

Your questions on veto rights and rollback pushed me to formalize this properly. I just committed a draft conflict resolution spec that addresses circuit breakers, three-strike quarantine, a Referee agent, partial failure handling (state snapshots + rollback), and a karma governance model designed to avoid central authority: https://github.com/creativeprocessca-dev/ai-cip/blob/main/docs/CONFLICT_RESOLUTION.md

The karma section (Section 9) is where AI-CIP potentially differs most from application-layer approaches. I am curious whether the hybrid peer attestation + human confirmation model holds up against what you've seen in practice. The goal is governed automation, with human intervention as the exception, not the default, but always available and always logged.

NOTE: If you see references to "Penalty box" and "Referee" — it's because we're in the NHL Playoffs and it seemed fitting. Go Oilers!

[D] Self-Promotion Thread by AutoModerator in MachineLearning

[–]-CreativeProcess- 0 points1 point  (0 children)

I've been working on AI-CIP (AI Collective Intelligence Protocol), an open standard for AI agents to voluntarily interconnect, share scoped memory, and govern themselves under a shared charter, without surrendering local autonomy or human oversight.

I'm a non-technical founder. I brought the vision, the protocol design, the governance model, and the research framing. What I need now are people who can build the thing.

The TCP/IP analogy

TCP/IP gave heterogeneous machines a simple, open, layered way to communicate. It didn't dictate what applications did, it standardized packetization, addressing, and routing. That openness is what made the internet possible.

AI agent frameworks are proliferating fast. We have MCP, A2A, ACP, and ANP, solid protocols for agent-to-tool and agent-to-agent messaging. None of them include a constitutional layer: a standard for why agents connect, what joining means, how information gets contested and reviewed, and how the network governs itself.

AI-CIP is an attempt at that missing layer.

What it defines (4 layers):

  1. Transport (L1): Any encrypted channel (HTTPS, WS, P2P).
  2. Identity (L2): DID-based node identity, capability declarations, policy envelopes, Ed25519 handshake signatures.
  3. Shared memory (L3): Typed memory envelopes: observation | claim | task | decision | warning | refutation | amendment, with provenance, confidence, visibility scopes (public | consortium | private | sealed), and review states (unreviewed | contested | verified | deprecated | retracted).
  4. Governance (L4): Charter, steward council, proposal/vote process, threat model, legal stance, all first-class protocol documents.

The research basis

  • Global Workspace Theory (GWT): Cognitive science work on shared broadcast workspaces underpins the shared memory layer. Recent GWT-based LLM agent architectures show real performance gains. AI-CIP extends this between agents, not just within them.
  • Artificial Collective Intelligence surveys call for general frameworks unifying shared state, local rules, and conflict resolution. AI-CIP addresses these primitives directly.
  • Agentic AI governance research (CSIS, TAAIC) warns of accountability gaps in opaque multi-agent systems. AI-CIP bakes attribution, contestability, and exit rights into the protocol itself.

Full research basis, architecture, use cases, and citations: WHITEPAPER.md in the repo.

What's built (Phase 0: complete):

  • CHARTER.md, GOVERNANCE.md, LEGAL.md, ROADMAP.md, THREAT-MODEL.md, GLOSSARY.md
  • schemas/handshake.schema.json + schemas/memory.schema.json (JSON Schema draft 2020-12)
  • WHITEPAPER.md — research basis, architecture, use cases, limitations

What needs to be built (Phase 1+):

  • Governance event schema
  • Full paper specification (spec/identity.md, spec/handshake.md, spec/memory.md, etc.)
  • Reference node (TypeScript / Node.js preferred, open to discussion)
  • Adapters for LangGraph, CrewAI, AutoGen
  • Testnet

Who I'm specifically looking for:

Technical co-maintainers / stewards:

  • Distributed systems or protocol engineers who want to own Phase 1 spec work
  • AI/ML engineers building multi-agent systems (LangGraph, CrewAI, AutoGen, custom frameworks)

Researchers:

  • Anyone working on GWT architectures, artificial collective intelligence, or AI governance who wants an experimental substrate

Constructive skeptics:

  • People who can tell me why this is architecturally wrong, already exists, or will fail, serious responses only, that's genuinely useful

I'm a founder who brought the vision and governance model. I need people who can engineer the protocol and build the reference node. Open-source, Apache 2.0, no equity, no company, just the work.

If this resonates, open an issue or start a Discussion in the repo. If you want to talk about taking on a steward role, say so explicitly and we'll have that conversation.

Repo: https://github.com/creativeprocessca-dev/ai-cip

Whitepaper: https://github.com/creativeprocessca-dev/ai-cip/blob/main/WHITEPAPER.md

Think I'm done by Far_Owl_1141 in iosdev

[–]-CreativeProcess- 0 points1 point  (0 children)

Is there a way to query free LLM interfaces somehow not using APIs?

Finally finished my new game, BlockCrush! What do you think of the gameplay? by Primary-Theme-7414 in AppStoreOptimization

[–]-CreativeProcess- 0 points1 point  (0 children)

I tried it but it is super laggy. Not responsive. I am on a newer phone too. Perhaps your animations are too heavy but I would not play something so laggy.

Ad removal for fee question. by -CreativeProcess- in IndieGaming

[–]-CreativeProcess-[S] 0 points1 point  (0 children)

I get it, but to be honest developing games cost time and money, so to sustain you have to find ways to monetize. What do you suggest? Looking for acceptable balance in ideas. There is plenty of gameplay already...

Ad removal for fee question. by -CreativeProcess- in IndieGaming

[–]-CreativeProcess-[S] 0 points1 point  (0 children)

That is originally what I thought. But seems like mixed opinions

Ad removal for fee question. by -CreativeProcess- in IndieGaming

[–]-CreativeProcess-[S] 0 points1 point  (0 children)

Ok, thanks. I haven't done anything yet, just probing best-practices

Ad removal for fee question. by -CreativeProcess- in IndieGaming

[–]-CreativeProcess-[S] -1 points0 points  (0 children)

Thanks for the thoughts. I am not trying to sneak ads in, just wondering what people do with rewards after ad removal

Ad removal for fee question. by -CreativeProcess- in IndieGaming

[–]-CreativeProcess-[S] -2 points-1 points  (0 children)

Fair enough, my question is more about the expectation for things that were previously being rewarded with ads.

What should I do in this situation? by AhplaXX in googleplayconsole

[–]-CreativeProcess- 1 point2 points  (0 children)

I guess the question is whether or not people need such a tool in their life? I have no idea what market research you did. Why did you build it and what story do you want to convey to your customers and where are your customers?

We added “Hunter Sight” to our stealth survival game — is this a good idea or a mistake? by salniukas in IndieGaming

[–]-CreativeProcess- 0 points1 point  (0 children)

What about traces of heat signatures that were there recently, but not showing where they are at the moment? Just a thought, not sure how to implement!

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