Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /macrocosm-os/apex
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 25d ago

macrocosm-os/apex

SN1: An incentive mechanism for internet-scale intelligence

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 48%Google DeepMind is worried about what happens when millions of agents start to interact →
  • PossiblePossibly related (embedding) · 47%Neoclouds Challenge the Hyperscalers in Big Bets on AI Infrastructure - trendingtopics.eu →
  • PossiblePossibly related (embedding) · 46%Who've told you that distributed training is impossible? Democratizing AI: The Psyche Network Architecture →
  • PossiblePossibly related (embedding) · 46%LinkedIn's behavioral scoring system and what it means for anyone building AI automations on the platform →

Covers

newsGoogle DeepMind is worried about what happens when millions of agents start to interactnewsNeoclouds Challenge the Hyperscalers in Big Bets on AI Infrastructure - trendingtopics.eunewsWho've told you that distributed training is impossible? Democratizing AI: The Psyche Network ArchitecturenewsLinkedIn's behavioral scoring system and what it means for anyone building AI automations on the platform

Related across the graph

newsGoogle DeepMind is worried about what happens when millions of agents start to interactnewsNeoclouds Challenge the Hyperscalers in Big Bets on AI Infrastructure - trendingtopics.eunewsLinkedIn's behavioral scoring system and what it means for anyone building AI automations on the platformnewsWho've told you that distributed training is impossible? Democratizing AI: The Psyche Network Architecture
Knowledge path·NGoogle DeepMind is worried about what happens when millions of agents start to interact→NNeoclouds Challenge the Hyperscalers in Big Bets on AI Infrastructure - trendingtopics.eu→NLinkedIn's behavioral scoring system and what it means for anyone building AI automations on the platform→Rmacrocosm-os/apex

Topics

aibittensorblockchaincryptocurrencyllmnetwork

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score138