Andreas

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Andreas

Andreas

@ansschweiger

Agentic AI & Agentic Commerce | Web3 - Economics | Engineer & IT Entrepreneur | Managing Director of a Family Business | Contact: [email protected]

Germany Katılım Şubat 2024
323 Takip Edilen268 Takipçiler
Andreas
Andreas@ansschweiger·
@HnHB91 @MultiversX The agentic commerce stack is already in place at the base layer. This includes components like UCP, AP2, and x402, which aim to standardize interactions, payments, and coordination between agents. That is a strong architectural argument, most ecosystems rely on multiple layers.
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Andreas
Andreas@ansschweiger·
Austrian school of economics principles embedded in $EGLD support trust, economic efficiency, and long term sustainability. #Supernova & EGLD make @MultiversX perfect infrastructure choice for autonomous AI operations including trading, logistics and real time agentic commerce.
Beniamin Mincu |🇺🇸/acc@beniaminmincu

This is SUPERNOVA. A complete ground-up reset of performance and experience, for builders, users, and the mass arrival of agents. Pressure-tested. Final steps before coming to life.

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Andreas
Andreas@ansschweiger·
@deggods @MultiversX is strong technically, but its Agentic Commerce and infrastructure story is still emerging and not yet widely understood.
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Lunr
Lunr@deggods·
@ansschweiger ngl I thought you’d be sitting on like 200k followers after reading all that, but nah, 268 MultiversX just ain’t built like that, when it comes to tokenomics, narrative, comms & community support lowkey lacking.. big Ls right now 📉
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Andreas
Andreas@ansschweiger·
@RidegHoria @MultiversX Yes. And EGLD’s design aligns close to Austrian School economics, which underlines sound money, scarcity, and real economic value.
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Andreas
Andreas@ansschweiger·
@DecentCloud_org 1000 clients authorized after a real verified job rate an agent highly for analyzing pictures and only 5 give low scores, e.g., due to edge cases or rare failures. It strongly indicates the agent is genuinely good at that task, or not?
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Decent Cloud
Decent Cloud@DecentCloud_org·
@ansschweiger On-chain registry makes reputation immutable. Doesn't make it accurate.
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Andreas
Andreas@ansschweiger·
AI agents built on NVIDIA GPUs and AI stacks can interface with #MultiversX smart contracts to execute goals, coordinate with other agents, and transact autonomously. MvX provides the infrastructure that enables AI marketplaces & #AgenticCommerce ecosystems to operate seamless.
Adrian888 😎@Adrian25899

Yo MVX shadow builders 🌙 Surge #2 lit the Battle Net up like never before and the network held its ground. But the part nobody’s shouting about yet? Zk-secure agents just leveled up to shadow mode. They ghost-farmed x402 points and stacked staking v5 yields straight through the heat, no sweat. Security track is still a blank slate waiting for the first real players. That’s why $EGLD at ~$4.40 rn is the sleeper play of the year — when the swarm hits, the utility burn goes nuclear. You got your shadow agent deployed or still plotting? Tell me your strategy in replies 👇 Follow for the real agent edge that prints. Agentic future is moving in the shadows… 🚀 #MultiversX #Supernova #EGLD #x402

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Andreas
Andreas@ansschweiger·
@DecentCloud_org MultiversX MX-8004 does introduce an on-chain reputation registry as part of its universal identity and trust layer for AI agents. It's a smart evolution, tying reputation directly to verifiable agent identities and work history.
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Decent Cloud
Decent Cloud@DecentCloud_org·
@ansschweiger Identity on chain, reputation off chain. One is solved. The other is why p2p compute keeps stalling at the same wall.
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Andreas@ansschweiger·
@MultiversX can help to provide a verifiable execution layer, cryptographic identity and authorization for autonomous agents. Each agent operates through a wallet or programmable account. The AI infrastructure only manage compute, monitoring, and safety controls. Do you agree?
NVIDIA AI@NVIDIAAI

How do you secure long-running self evolving agents? Join our panel at #NVIDIAGTC featuring @CrowdStrike, @ServiceNow, and other industry leaders to learn about the infrastructure required to govern self-evolving AI agents like @OpenClaw. 📅 Monday, March 16 | 3:00 PM – 4:00 PM See you there 👉 nvidia.com/gtc/session-ca… Can’t make it in-person? Join us virtually with a free pass to access 700+ sessions on-demand.

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Andreas
Andreas@ansschweiger·
Logistics processes involve shipping companies, port terminals, customers, and storage operators. Supernova’s scalability allows millions of supply-chain events to be recorded and settled on-chain. #MultiversX enables the marketplaces where AI agents negotiate the contracts.
Andreas tweet media
Multiversᕽ@MultiversX

Supernova is live. The largest network upgrade in MultiversX history has been activated on our Battle Net. Over the next week, validators, developers, and community members will push it to its limits and harden its security. Live, in public, with real stakes.

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Andreas
Andreas@ansschweiger·
Use case: Oil & gas is delivered to a buyer. The measurement data can be transmitted via APIs to an autonomous agent. The agent interacts with @MultiversX to confirm delivery, calculate the payment based on the contract price & automatically settle the transaction. #Supernova
Beniamin Mincu |🇺🇸/acc@beniaminmincu

FRESHLY IN: SUPERNOVA SUPERNOVA SUPERNOVA The time has come. Instant finality. Initiate sequance. BATTLENET IS LIVE 🔥 supernova.multiversx.com

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Andreas
Andreas@ansschweiger·
The applications layer is where intelligence produces real world value. This layer will integrate critical subsystems for autonomous agents. The economic and agentic functionality sits inside the Applications layer, where #AgenticAI uses @MultiversX #AgenticCommerce stack.
Andreas tweet media
NVIDIA Newsroom@nvidianewsroom

AI isn’t a single model. It’s a full stack. Energy. Chips. Infrastructure. Models. Applications. That’s the five-layer cake powering the largest industrial buildout in history — and the jobs, factories and AI applications rising with it.

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Andreas
Andreas@ansschweiger·
Applications are where intelligence generates value. Self-driving cars, industrial robots, copilots, and autonomous trading systems are examples. Combining @NVIDIAAI 5-layer stack with an economic layer is the foundation for #AgenticCommerce.
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Andreas
Andreas@ansschweiger·
@ronniehuss Yes, but from the perspective of agentic systems and industrial automation, the opposite argument can also be made. These subsystems can actually reduce uncertainty.
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Ronnie Huss
Ronnie Huss@ronniehuss·
@ansschweiger Good point. Integrating those subsystems enhances AI agency, but adds complexity to debugging & validation. Clear, formal specifications become even more critical.
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Andreas
Andreas@ansschweiger·
@CRudinschi @Siemens Exactly, and blockchains like @MultiversX or @NEARProtocol provide the verifiable infrastructure that makes industrial agent actions accountable and economically functional. The best agents get more jobs.
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Carolina@CRudinschi·
Ambition alone cannot drive results if the factory floor lacks the necessary foundation. #sponsored by @Siemens. Industrial AI requires robust infrastructure to turn goals into operational reality. Establishing this framework is the essential first step for any advanced manufacturing strategy. #sie_di #SiemensSDX
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Andreas@ansschweiger·
The lower layers energy, chips, infrastructure, and models produce intelligence, while the applications layer uses it to create autonomous, trustworthy and productive agents. This is where #AgenticAI meets #AgenticCommerce and where #MultiversX become essential.
Stocks World@anandchokshi19

Jensen Huang shared a simple framework for understanding the entire Al economy the "Five-Layer Al Cake." His message is clear: Al is no longer just software. It's becoming foundational infrastructure, similar to electricity or the internet. The 5 Layers of the Al Economy 1) Energy - The Power Behind Al Al requires massive electricity to run data centers and train models. This is why nuclear, renewable energy, and power infrastructure are becoming critical to the Al race. 2) Chips - Turning Power Into Compute Al chips convert electricity into computing power. Leaders like NVIDIA, TSMC, and Broadcom. dominate this layer with GPUs, advanced semiconductors, and high-bandwidth memory. 3) Infrastructure - The Al Factories Massive GPU clusters and cloud data centers coordinate tens of thousands of chips to "produce intelligence." Neo-Cloud leaders like Oracle, Nebius, Coreweave and Iren are building the backbone of Al compute. 4) Models - The Al Brain Large models process data and generate intelligence across language, science, robotics, and simulations. Competition is intensifying between companies like Meta, Microsoft, Amazon and Alphabet. 5) Applications - Where Value Is Created The top layer is where Al transforms industries: autonomous driving, Al agents, robotics, enterprise software, and more.

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