The silent crisis: AI is consolidating into 3–4 corporate giants, giving them monopoly control over intelligence, truth, and power.
@JakeSalerno warns this isn't progress, it's a power grab.
0G_labs fights back with a modular Layer 1 for decentralized AI: verifiable compute,
The real danger in tech: AI quietly consolidating into 3–4 corporate hands, not hacks, but control over intelligence itself.
@JakeSalerno warns: this creates a monopoly on truth, access, and power.
0G_labs counters with a modular Layer 1 built for decentralized AI,
VIDEO: “People are asking why are we not killing terrorists even if they have killed others. Well, even in the Bible, the prodigal son was given a chance, so we should give terrorists a chance to repent”. - Chief of Army Defence Staff, General Oluyede.
🚨 OFFICIAL: CAS confirms Senegalese Football Federation has appealed the decision to call Morocco as winners of the AFCON 2025, asking to restore Senegal as the original winners.
Appeal registered by CAS on 25 March 2026 “to set aside the CAF decision and declares the FSF winners of AFCON”.
🧵 DGrid AI — Why Decentralized AI Coordination Is Becoming Necessary
@dgrid_ai AI is building infrastructure focused on coordinating AI inference across a decentralized network.
Not a chatbot.
Not a model trainer.
A coordination layer.
That difference matters.
EPISODE 48: BUILDING BEYOND THE FEED
Most creators build for the feed.
The feed is fast.
The feed is loud.
The feed forgets.
But permanence requires a different mindset.
With @permacastapp, a podcast is not optimized for scroll velocity.
It’s anchored permanently on Arweave:
• Immutable storage
• Protocol-level publishing
• No silent edits
• No centralized erasure
The feed moves. The archive stays.
Now introduce @dgrid_ai.
Instead of chasing algorithmic visibility, intelligence is coordinated across the permanent base:
• AI agents analyze across episodes
• Context accumulates
• Insights compound
• Distributed compute scales reasoning
You stop building for impressions. You start building for longevity.
Episode 48 is about stepping outside the feed cycle.
Permanent memory. Decentralized coordination. Compounding knowledge.
@permacastapp@dgrid_ai
✅️ Bridging Web3 and Traditional AI
Most AI runs on centralized clouds.
Opaque systems.
Limited auditability.
Most Web3 infrastructure prioritizes decentralization.
On-chain logic.
Community governance.
But often complex tooling.
Bridges reduce friction.
With DGrid, both models connect:
• On-chain auditing
• Decentralized governance
• Unified, developer-friendly APIs
Traditional AI gains transparency.
Web3 gains usability.
When infrastructure speaks both languages,
adoption expands across ecosystems.
✅️ Associations & Cross-App References
Most applications link data internally.
Context breaks when you leave the platform.
References don’t travel.
Structure changes continuity.
On the PermawebDAO layer, objects reference one another using globally unique identifiers.
• Traceable asset histories
• Governance linked to content
• Stable cross-application navigation
Context doesn’t disappear.
It persists across tools.
When references are universal,
workflows span multiple applications
without losing verification or meaning.
Where traditional AI platforms monetize simple access to models and APIs.
DGrid AI shifts the focus toward monetizing actual performance. In this system, value is generated not merely from providing computational power but from consistently delivering reliable and accurate results. Node operators are therefore rewarded based on measurable reliability metrics and verifiable output quality, creating an environment where incentives align with trustworthy AI execution.
By tying rewards to provable performance rather than opaque service access, DGrid AI encourages a competitive network where participants continuously optimize their infrastructure, models, and operational standards to earn greater rewards.
OG Labs could support decentralized AI marketplaces, where models compete on performance, cost efficiency, and reliability within transparent incentive systems. In such an environment, developers and organizations would be able to select AI services based on measurable outcomes rather than opaque claims, while providers are rewarded for consistently delivering accurate and verifiable results.
By embedding competition and accountability directly into the infrastructure, OG Labs helps create a marketplace where AI quality improves through open economic incentives rather than centralized control.
Permacast contributes to a permanent knowledge graph where media can be referenced, cited, and verified reliably over time. By anchoring podcast content in decentralized storage and cryptographic records, Permacast helps ensure that audio, metadata, and context remain accessible even as platforms evolve.
This approach allows media to function not just as content for immediate consumption, but as durable information that can be linked, discovered, and referenced by future creators, researchers, and AI systems.