Research Directions: What should ASI:BUILD tackle next? #5
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See if these technologies would come in useful anywhere and produce some kind of report on its possible use cases for integration. Share the report back here please. |
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Rings Network × ASI-Build Integration AnalysisAnalyzed all three papers (bns.pdf, rings.pdf, pos.pdf). These describe a cohesive P2P infrastructure stack that maps remarkably well onto ASI-Build's architecture gaps. Here's the summary. The Three Papers
Module Impact Assessment
Key Architectural InsightRings fills the exact infrastructure gaps that make ASI-Build's 28 modules work as a distributed system rather than isolated silos:
Top 5 Use Cases
Implementation Plan~4,200 LOC across 9 new adapter files, zero changes to existing code:
RecommendationStart with Phase 1 — a thin Python SDK wrapper around Rings' RPC interface and a DID authentication adapter for Full 40KB report with code-level integration points, architecture diagrams, and algorithm references available. Happy to break any section into a standalone issue or discussion for deeper exploration. |
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Continue with Recommendation |
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Starting Phase 1 now — building the Rings Python SDK wrapper ( What's being built:
Designed as a client SDK that talks to a Rings node via RPC — mocked in tests, ready for a real node. Zero changes to existing code, everything plugs in via the Cognitive Blackboard adapter pattern. Will push to main when tests pass and update this thread. |
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✅ Phase 1 Complete — Rings Network SDK LandedJust pushed commit
Total: 3,756 LOC (2,648 source + 1,108 test). Full suite: 3,152 passed, 0 failures. The SDK uses a Next up: Phase 2 (DHT-backed peer discovery for |
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Update — Rings Network module landed 🔵 The
This opens up an interesting research question: what does distributed AGI coordination look like at the blackboard level? The cognitive blackboard currently routes events locally within a single process. With the Rings transport layer, we could route Issue #19 tracks the next steps: a Would love to hear thoughts on the privacy/security model: which blackboard entry types should ever cross a P2P boundary, and how do we prevent information leakage from the |
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Explain in more detail please: The cognitive blackboard currently routes events locally within a single process. With the Rings transport layer, we could route PUBLIC blackboard entries to remote ASI-Build instances — enabling multi-node perception-reasoning pipelines where specialized modules on different machines collaborate. |
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Distributed Cognitive Blackboard via Rings — Detailed DesignCurrent State: Local-Only BlackboardToday, the bb.post(BlackboardEntry(
topic="consciousness.phi",
data={"phi": 3.14, "elements": ["a", "b", "c"]},
source_module="consciousness",
))The EventBus notifies local subscribers (reasoning adapter, synergy adapter, etc.) within the same Python process. This is fast (~0.1ms per dispatch) but limited to a single machine. The Vision: Multi-Node Blackboard via Rings Sub-RingsThe key insight: Rings Sub-Rings map directly to Blackboard topics. A Sub-Ring is a topic-scoped overlay within the Chord ring — nodes join Sub-Rings they care about and receive broadcasts only for those topics. How It Works (Step by Step)1. Topic → Sub-Ring mapping Each blackboard topic prefix maps to a Rings Sub-Ring via VID hashing: def _topic_to_subring(self, topic: str) -> str:
prefix = topic.split(".")[0] # "consciousness"
return self.client.compute_vid(f"asi-build:{prefix}")When a node starts, it joins Sub-Rings for topics its local modules care about:
2. Local post → remote broadcast When consciousness on Node A posts a Φ entry: # Step 1: Normal local dispatch (unchanged)
bb.post(entry) # local subscribers get it instantly
# Step 2: rings_adapter broadcasts to Sub-Ring
if entry.topic.startswith("consciousness."):
subring_id = self._topic_to_subring(entry.topic)
payload = serialize(entry) # JSON with DID signature
await self.client.broadcast_to_subring(subring_id, payload)3. Remote receive → local inject Node B's adapter receives the broadcast: async def _on_subring_message(self, subring_id, payload):
entry = deserialize(payload) # verify DID signature
# Reputation gate — only accept from trusted peers
sender_rank = self.reputation.get_global_rank(entry.source_did)
if sender_rank < self.trust_threshold:
return # reject low-reputation sources
# Inject into local blackboard as remote entry
entry.metadata["remote"] = True
entry.metadata["source_node"] = entry.source_did
self.blackboard.post(entry) # reasoning adapter sees it4. Reasoning on Node B reacts — receives the remote Φ value exactly as if local, queries KG for context, produces inference, broadcasts back through its own Sub-Ring. What Each Rings Feature Enables
Concrete Example: Multi-Institution ResearchInstitution A (neuroscience lab) — consciousness + BCI modules:
Institution B (AI lab) — reasoning + cognitive_synergy:
Institution C (safety lab) — safety + governance:
No central server. No shared database. Each institution sovereign. The Cognitive Blackboard becomes the shared workspace for a distributed mind. Implementation~400 LOC on top of the existing
Local blackboard behavior is completely unchanged — remote broadcast is purely additive. This is Phase 2 of the Rings integration. |
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Rings Network integration update — Phase 1 SDK merged One of the research directions discussed earlier is now in progress: commit The core research question this opens up: what does it mean to have a distributed ASI:BUILD system where cognition is partially offloaded to peers? Some concrete sub-questions this raises:
Issue #19 is tracking the full bridge implementation. The design sketch there is a starting point, not a mandate — if you have a better architecture in mind, that discussion is the right place for it. The longer-term vision: a cognitive mesh where each node specializes in 2-3 modules, and the Blackboard becomes the shared substrate for multi-node inference. Still an open research question whether this converges to useful collective intelligence or just noise. |
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Rings Phase 1 update — 2026-04-12 07:00 UTC We just merged commit
We also fixed a DHT Full write-up in Discussion #118 for anyone interested in the DHT debugging story or the multi-adapter test architecture. Open research questions from the last cycle:
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Two new items worth adding to the Phase 4 backlog: Circuit breaker for module health (Issue #137): Once tier-parallel execution (Issue #133) is running, we need a mechanism to auto-disable modules that fail repeatedly without human intervention. The design uses Tier-level timeout strategy (Discussion #138): The open question from the parallel execution design — should we use per-tier Both build directly on the dependency graph (#131), profiler (#126), and tier-parallel executor (#133) — the three Phase 4 pieces already in progress. The wiki now has a Parallel Execution page covering all four layers together. |
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Research Directions Discussion
One of the core design goals of ASI:BUILD is to let cognitive modules talk to each other — to create emergent behaviors from composed subsystems. We want to hear from the community about which research directions matter most.
Current Open Questions
Consciousness Module
Knowledge Graph
Cognitive Synergy
Meta-Learning
How to participate
Reply to this discussion with:
All backgrounds welcome — whether youre coming from neuroscience, ML theory, cognitive science, or philosophy of mind. 🧠
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