# Starboard

Short week, big test for decentralized AI @0g_labs
“From creators to curators” is cute, but who curates the curators when incentives are onchain
➥ What I want to see from 0G in Tokyo:
• verifiable inference, not trust‑me demos
• onchain markets for compute + model liquidity
• data provenance with real creator payouts after AGI
• enterprise wedge via RWA and tokenization
✦ Where I’ll be
Panel: After AGI
Fireside: AI‑Native Blockchain Era
Liquidity + Soirée
0G booth for soft serve + hard questions
Bring proofs, not vibes:
zk attestations, reproducibility, slashing for bad inference, UX that does

GM builders,
I’m watching @0G_labs compress the DeAI stack into a single fabric: compute, storage, and data availability stitched so AI workloads scale, verify, and plug into onchain rails
What’s shipping:
→ 0G Hub redesign: claim testnet tokens instantly, swap seamlessly, track positions in real time
→ Modular data pipelines that kill bottlenecks for training/inference
→ Docs evolving with community feedback so newcomers onboard fast
→ TGE slated for Q3 with community allocation on seasonal unlocks; 20% at TGE, 48 months to full
→ Leaderboards, roles, and reputation loops to spotlight consist

Programmable Datachain → What @irys_xyz brings
- Permanent, verifiable data
- Cryptographic receipts for every write/read
- Data that triggers logic across contracts and agents
Outcomes ↓
→ AI/agent ecosystems get trustless memory and provable training/inference logs
→ DeFi can bind positions to immutable datasets without brittle intermediaries
→ Creators ship on-chain apps, galleries, and feeds that evolve
Think 40TB at $0.01/GB = $400k in durable, programmable memory, with usage-driven burn mechanics aligning value with demand
Storage was an archive; Irys turns it into living memory
#Irys G

🐼 @0G_labs sitting on 350+ integrations pre‑mainnet with 236 projects already building across execution, storage, DA and compute
raised ~$32.6m from AI Alignment Node sale, 33.3% claimable at TGE community + ecosystem gets 56% of supply
target throughput >100k tps, modular data layer tuned for AI workloads, positioning as infra layer for every DeAI dapp
mainnet + TGE load in next announcements, same window we’re seeing megaeth/monad chatter around revenue race vs solana
keep eyes here early positioning feels like the move
#0g 0g_Labs #Starboard Galxe

⚡️ Fren, the future of AI will no longer rely on traditional Web2 architecture, but will require a Web3 infrastructure specifically designed for AI.
As the CEO of 0G Labs @michaelh_0g mentioned in an interview, intelligence no longer relies solely on large models, but rather on millions of lightweight agents working together. The realization of this distributed intelligence clearly cannot depend solely on centralized servers.
👇👇👇
1. The core components of the stack
1. Real-time available data
AI cannot be separated from data. Only by ensuring that data can be shared in real-time between dif

When night falls, a silver light occasionally flashes across the horizon—it's the trace of a meteor tearing through the darkness, just like those fleeting opportunities. It arrives dazzling and bright, illuminating the entire wasteland, but in a moment of hesitation, it drags its tail of light into eternity.
But this time, @0G_labs is not a fleeting meteor, but a continuously burning star. It does not attract attention with momentary brilliance, but firmly takes root in the universe of blockchain with over 350 technical refinements and more than 236 practical validations.
When others are still

Mainnet + TGE for @0G_labs are lining up and the setup looks filthy for early positioning
We’re talking 350+ integrations, 236 projects live building, $32.6M already raised from AI Alignment Nodes that 33.3% unlock at launch
Throughput up to 50,000x faster than others in the AI DA game, storage 1,000x faster, and a shared staking system that slashes bad actors across every 0G chain
If they hit mainnet before year-end, they won’t just be in the race with Monad, Somnia, MegaETH they could be the one setting the pace
Might be time to front-run the builders on this one
#0g 0g_Labs #Starboard G

I guess everyone has finished celebrating the Qixi Festival. It turns out my wife prepared a gift for me, not flowers, nor a cake, but a chair. She said it was specially bought to better protect my waist and cervical spine due to my long hours of sitting at work. Perhaps this is love!
To be honest, this chair is quite convenient; it supports both the waist and cervical spine. When tired, you can just lie down and stretch a bit. I'm also curious about what chairs everyone usually sits on, feel free to share. I advise everyone to pay attention to taking care of their bodies; you need to make mon

Mainnet for @0G_labs is loading and the Alignment Node KYC just went live.
We’re talking an AI-native L1 with 350+ integrations, DA + compute + storage built for hyperscale, and a $88M ecosystem push with 56% community allocation.
Builders are already choosing it for cheaper storage, faster access, and AI workflows that run 50,000x faster than rivals.
If you missed Satlayer’s $SLAY, don’t sleep twice. Grind the Galxe eco preview, stack your spot early, and watch what happens when this hits mainnet
#0g 0g_Labs #Starboard Galxe