Making AI interact with the real world takes more than just sensors.
Every device — whether it's a robot, phone, or smart glasses — usually has to detect doors, objects, and layouts by itself, learning everything from scratch every time.
It's slow, inefficient, and full of trial and error. Auki Network changes that.
With collaborative spatial mapping, devices in the same space share a real-time map.
If one spots a door, furniture, or any object, that data updates for all connected devices instantly.
No need for each device to repeat the same process.
This speeds up performance, cuts down mistakes, and finally makes AI practical for real-world environments.
Making AI interact with the real world takes more than just sensors.
Every device — whether it's a robot, phone, or smart glasses — usually has to detect doors, objects, and layouts by itself, learning everything from scratch every time.
It's slow, inefficient, and full of trial and error. Auki Network changes that.
With collaborative spatial mapping, devices in the same space share a real-time map.
If one spots a door, furniture, or any object, that data updates for all connected devices instantly.
No need for each device to repeat the same process.
This speeds up performance, cuts down mistakes, and finally makes AI practical for real-world environments.
Check the full partnership details here: https://phala.network/posts/phala-blormmy
MEMEPH1S
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Phala x Blormmy: The AiFi Agent Bringing Crypto to Commerce
Blormmy lets users deploy personal agents to manage crypto, send payments, and shop online — all while keeping control and security in place.
What makes it work is the infrastructure behind it. @Phala Network 's TEE (Trusted Execution Environment) ensures that every agent runs inside secure hardware — no exposed keys, no need to blindly trust apps or platforms.
This setup allows real-world use cases:
✔Simple payments through chat or tweets ✔USDC shopping on Amazon (extension on the way) ✔Autonomous agents that handle tasks for you
Everything happens with privacy and control by design
It's a solid example of where agent-driven finance is headed — simple UX, but with proper technical foundations.
Phala provides the trusted layer to keep it safe. Blormmy builds the product experience users actually want. 🤝
Phala x Blormmy: The AiFi Agent Bringing Crypto to Commerce
Blormmy lets users deploy personal agents to manage crypto, send payments, and shop online — all while keeping control and security in place.
What makes it work is the infrastructure behind it. @Phala Network 's TEE (Trusted Execution Environment) ensures that every agent runs inside secure hardware — no exposed keys, no need to blindly trust apps or platforms.
This setup allows real-world use cases:
✔Simple payments through chat or tweets ✔USDC shopping on Amazon (extension on the way) ✔Autonomous agents that handle tasks for you
Everything happens with privacy and control by design
It's a solid example of where agent-driven finance is headed — simple UX, but with proper technical foundations.
Phala provides the trusted layer to keep it safe. Blormmy builds the product experience users actually want. 🤝
The goal is clear: build tech that gives AI the right kind of awareness — built to help and not to track. It makes tasks easier and fits into daily work.
Get started → https://cloud.phala.network/eliza || Curious to dive deeper? This tweet breaks it down nicely: https://x.com/PhalaNetwork/status/1888871225004585234
MEMEPH1S
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You don't need to be a coder to build AI. Phala Cloud makes it easy for anyone to create and launch an AI agent — no coding needed.
With Eliza Agent Builder, you pick your AI's style, set how it behaves, upload it, and go live.
That's it. Make a smart chatbot, a helpful assistant, or anything you dream up.
The entire process runs on Phala's Trusted Execution Environment (TEE), ensuring your AI operates securely, privately, and independently.
With full control over your AI and @Phala Network decentralized compute, you can build real, privacy-preserving AI agents — no need to depend on centralized cloud services.
You don't need to be a coder to build AI. Phala Cloud makes it easy for anyone to create and launch an AI agent — no coding needed.
With Eliza Agent Builder, you pick your AI's style, set how it behaves, upload it, and go live.
That's it. Make a smart chatbot, a helpful assistant, or anything you dream up.
The entire process runs on Phala's Trusted Execution Environment (TEE), ensuring your AI operates securely, privately, and independently.
With full control over your AI and @Phala Network decentralized compute, you can build real, privacy-preserving AI agents — no need to depend on centralized cloud services.
If you want to watch Nils' full talk, here’s the link: https://www.youtube.com/watch?v=tn1fZJsfzq8
MEMEPH1S
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Just watched Nils from $AUKI at Super AI conference. This talk made me realize how intentional the flaws in the old systems really are.
If you think Big Tech is struggling with broken mapping systems — no, they built them that way on purpose. Centralized, slow to adapt, designed to collect user data and keep control in the hands of a few companies. It's not a technical limitation — it's their business model.
Auki Network's has taken a completely different direction. Their decentralized system, called Posemesh, lets devices — phones, AR glasses, robots — map, position, and share spatial data with each other in real time. No unnecessary tracking, no handing over data to someone else, no dependence on a central platform.
The results? It's already here: Retail environments running more efficiently, collaborative mapping working through devices people already carry, and AR glasses about to bring that to an even bigger scale.
AUKI built the right one from the start — decentralized, privacy-first, and it shows exactly why they're ahead.
Just watched Nils from $AUKI at Super AI conference. This talk made me realize how intentional the flaws in the old systems really are.
If you think Big Tech is struggling with broken mapping systems — no, they built them that way on purpose. Centralized, slow to adapt, designed to collect user data and keep control in the hands of a few companies. It's not a technical limitation — it's their business model.
Auki Network's has taken a completely different direction. Their decentralized system, called Posemesh, lets devices — phones, AR glasses, robots — map, position, and share spatial data with each other in real time. No unnecessary tracking, no handing over data to someone else, no dependence on a central platform.
The results? It's already here: Retail environments running more efficiently, collaborative mapping working through devices people already carry, and AR glasses about to bring that to an even bigger scale.
AUKI built the right one from the start — decentralized, privacy-first, and it shows exactly why they're ahead.
Sometimes I look at Terri MechKenna and think - wow, even a humanoid intern at Auki Network $AUKI gets to attend more conferences than me.
Terri's been to Consensus Hong Kong, the Web3 Festival, AWE 2025 and Super AI. All in just a few months. While I'm here working behind a screen, Terri's out there moving through venues, meeting people, and actually being part of the conversation.
What's impressive is it's not just for show or kind of display! Because of posemesh, Terri knows exactly where he is. He understands his surroundings, can navigate crowded spaces, and interact with people and objects contextually. That kind of real-time spatial awareness is something even most humans don't fully have in unfamiliar places.
Terri may be a robot, but at this rate, he's more productive, more well-traveled, and more spatially aware than most of us.
Some of you here probably know $ANYONE 👀 They're designing an internet-scale anonymous routing infrastructure to protect user identity and traffic by default.
Anyone Protocol is officially deployed on @Phala Network Phala Cloud as a public TEE template!
With this, Phala Cloud now lets anyone run AI agents and apps as hidden services - encrypted, shielded at runtime, and verifiable by default. __ If you're building agents, handling user data, or coordinating across chains and still doing it all in the open, you're leaving attack surfaces wide open.
There's no excuse to skip privacy at execution anymore.
You can run trustless, encrypted workloads today - and it's open to everyone with $PHA ;)