The Scriber (Ø,G)

@DonaldJTrumpJr @worldlibertyfi True self custodial agent payments. 💯 Integrating this with decentralized compute providers could let agents buy their own GPU power on demand.

AI agents that can reason but can't pay for anything are just expensive interns.  Today @worldlibertyfi shipped the infrastructure to fix that. AgentPay SDK, open source, self-custodial, policy-first. Built on USD1.  Your agent. Your keys. Your rules. Check it out: agentpay.worldlibertyfinancial.com

Tokenizing real-world assets sounds exciting, but for most people outside crypto, it’s still pretty hard to grasp. If we actually want mass adoption, we need to drop the jargon and talk like humans. The basics matter: what am I putting money into, what can I earn, what are the risks, and what happens if things break? We’re so deep in the crypto bubble that even our “simple” explanations miss the mark. If tokenization is going to scale, clarity and education have to come first, no shortcuts.

@0G_labs massive expansions are impressive but they highlight a lack of resilience in the system, which decentralized approaches try to address

NVIDIA just mapped a $1 trillion AI factory buildout. 4 companies control the compute. 4 companies set the price. The question is, who builds the decentralized alternative? 0G. Already live on mainnet.

@unusual_whales Makes sense, raw investment alone won’t move the needle. Economic impact depends on how AI models are built, scaled, and made accessible for practical applications, not just on how much is spent on research and hype.

"Massive investment in AI contributed basically zero to US economic growth last year," per Goldman Sachs

@0G_labs @HackQuest_ APAC getting more IRL AI events is a huge win. So many devs here but not enough places to actually ship stuff.

AI agents need infrastructure they can trust. Not rent. The 0G APAC Hackathon is now live with @HackQuest_ $150K prize pool. IRL Open Days across APAC. Top teams demo at Hong Kong Web3 Festival. 4 tracks. One decentralized AI stack: → Agent frameworks & orchestration → Verifiable on-chain trading → Autonomous agent economies → Privacy-preserving AI apps Full access to the 0G stack — Chain, Compute, Storage, DA. Ship something real ↓

If crypto actually wants to stay ahead long-term, it needs to double down on clarity, education, and frictionless onboarding. Build stuff where anyone can jump in and get it within a minute. Adoption doesn’t come from complexity, it comes from products people instantly understand and use.

@0G_labs Training data stored this way makes integrity less of a question which matters more as models scale

Decentralized storage that doesn't compromise on speed. 0G Storage: up to 2 GB/s throughput. Training data, model weights, agent memory — stored on infrastructure you don't have to trust. You verify it. Visit storagescan.0g.ai for live stats.

@thetinyant @Mastercard @BVNKFinance @solana Instead of building a closed system, Mastercard’s basically becoming the Stripe of stablecoins, bridging fiat to major chains in a way that actually moves everyday payments forward

Biggest takeaway from the @Mastercard acquisition of @BVNKFinance? It's chain agnostic. Mastercard isn't using its position to push customers into a closed system to capture more value, but rather its customers choose the chain. Huge positive for public blockchains and @Solana 🔥

@0G_labs @michaelh_0g @DecryptMedia Anyone ignoring infra now is gonna get left behind when AI agents start running the show.

Is it AI szn? AI agents need settlement layers. Decentralized compute needs coordination. On-chain privacy isn't a nice-to-have; it's a prerequisite. Our CEO @michaelh_0g breaks down what's really driving this alts cycle on @DecryptMedia. decrypt.co/361366/ai-priv…

Study more than you scroll. Conviction comes from understanding, not hopium.

@0G_labs Long term this makes 0G the default home for any chain that needs real-time AI decisions.

@imua Cool. This is like moving from a polite request to a binding legal escrow.

credit and reputation tell you someone is likely trustworthy slashing makes it painful to prove otherwise

That stack view tracks how value concentrates at foundational layers. The same logic applies to AI infrastructure. Projects like @0G_labs approach it with an AI focused L1 plus modular DA, storage, and compute, aiming to support large scale workloads onchain without relying on centralized backends.

The way I think about the photonics trade is simple: follow the stack... AI networking is becoming a vertical supply chain and every layer captures value differently. At the very bottom are the substrates, especially silicon-on-insulator wafers that photonic chips are built on. This is where companies like $SOI (Soitec) sit, supplying the engineered wafers that enable silicon photonics in the first place. Then comes the foundry layer, where companies like $TSEM, $TSM, $INTC and $GFS manufacture the silicon photonics chips. It’s a smaller market, but strategically important because every optical engine starts here. Next are the component players, mainly $COHR and $LITE, producing lasers and external light sources that generate the optical signals inside the modules. Finally you have the module integrators, where most of the volume and revenue sit. This includes $AAOI, $AVGO, $MRVL and $CSCO, assembling the full optical transceivers used in AI clusters. So substrates enable the platform, foundries build the photonic chips, component makers control the light, and integrators ship the volume into $NVDA-powered AI datacenters.

Most people try to predict the next move. Smart traders prepare for multiple outcomes. Build a plan where you win if price goes up, down, or sideways. The edge is not prediction, it is preparation.

@0G_labs Most of these projects are just selling hardware dreams while 0G is building real security.

Grayscale just filed for a TAO ETF. Wall Street wants exposure to decentralized AI. But inference without verification is just cheaper cloud compute. 0G's Sealed Inference adds what pure GPU networks can't: privacy + cryptographic proof that your model ran untampered.

@warpaul That line about pushing until it hurts reminded me I’ve been coasting on some projects. Time to step it up

vibe coders final boss