๐ฝ๐ฎ๐ฟ๐ฎ๐น๐น๐ฎ๐ ๐ณ๐ผ๐ฟ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ๐: ๐๐ต๐ฎ๐ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐
parallax opens up a wide range of opportunities for hosting and running your own ai applications and agents: coding copilots, personal assistants, vision and speech pipelines, and multi-agent simulations.
all on your own hardware, no cloud, no api keys.
๐๐ต๐ฎ๐๐ ๐ฎ๐๐ฎ๐ถ๐น๐ฎ๐ฏ๐น๐ฒ ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐
parallax supports cross-platform deployment on mac, windows and linux.
built-in network-aware sharding and dynamic task routing intelligent load scheduling with seamless switching between single-machine, multi-device and wide-area cluster modes.
moe models from 0.6b to trillion-class on gpus and apple silicon are supported.
๐ฐ๐ผ๐ฑ๐ถ๐ป๐ด ๐ฐ๐ผ๐ฝ๐ถ๐น๐ผ๐
developers can deploy locally and build applications like coding assistants while keeping all sensitive data and control rights local.
your code doesnt go to github copilot or cursor servers. the model works for you.
๐ฝ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น ๐ฎ๐ด๐ฒ๐ป๐
parallax is designed for next-generation ai applications that remain private, verifiable and open.
the system stores data and memory locally, uses open source tools and tracks every step of the computation results can be reproduced and verified.
openclaw integration is already available, an agent in telegram or discord that runs tasks on your machine.
๐บ๐๐น๐๐ถ-๐ฎ๐ด๐ฒ๐ป๐ ๐๐ถ๐บ๐๐น๐ฎ๐๐ถ๐ผ๐ป
@Gradient_HQ launched a hackathon, "build your own ai lab", to solve problems for individuals that require privacy and low cost, help researchers accelerate their work and build tools for businesses.
multi-agent simulations, research tooling and business automation are all being built by the community using parallax.
>>>>> ๐๐ฒ๐ฃ๐๐: ๐ช๐ต๐ ๐๐๐๐ ๐๐ ๐๐ต๐ฒ ๐ฌ๐ฒ๐ฎ๐ฟ ๐ผ๐ณ ๐ฃ๐ต๐๐๐ถ๐ฐ๐ฎ๐น ๐๐ <<<<<
while everyone's talking about chatgpt and text-based models, a new movement has emerged in the real world: depai. It stands for decentralized physical ai
robots shouldnt be owned by a few corporations. The data that trains them shouldnt be hoarded by a single company. depai is an attempt to build an open infrastructure for robots on the blockchain.
In 2025, a full-fledged stack of three projects with different roles emerged.
bitrobot is the lower tier. they are building the core infrastructure on solana, where every robot action can be verified. the SeeSaw platform allows users to upload ordinary videos of everyday tasks, which become training data for robots.
the project has raised $6M and Virtuals Protocol is among its investors.
@PrismaXai is the middle tier. this is a coordination network: it connects human operators, robot owners and companies that need data.
Operators remotely control robots, perform real tasks and receive tokens for high-quality work.
$11M from a16z, a live platform supporting eight types of robots.
virtuals protocol is the top layer. Autonomous AI agents that choose tasks themselves, pay for data and manage robots without human intervention. By the end of 2025, 500,000 completed tasks are planned.
๐๐ต๐ ๐ป๐ผ๐
Robots have become cheaper, models have matured and Web3 has learned to process micropayments quickly and cheaply. Everything has come together.
๐๐ฒ๐ฃ๐๐ ๐ถ๐ ๐ป๐ผ๐ ๐ต๐๐ฝ๐ฒ. ๐๐๐ ๐๐ต๐ฒ ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ฏ๐ฒ๐ถ๐ป๐ด ๐น๐ฎ๐ถ๐ฑ ๐ผ๐๐ ๐ฟ๐ถ๐ด๐ต๐ ๐ป๐ผ๐.
ai agents are breaking the old cost logic
the more automation, the more expensive the model selection error
you dont need gpt-5 for every sneeze.
sometimes a small model does the same job faster cheaper and without unnecessary tokens
the winner isnt the one with the strongest model
nut the one with the smartest routing.
The BULK Paper Trading Comp is COMPLETE
Congratulations to our Top 50, and a huge THANK YOU to everyone that participated and provided feedback
View the finalized leaderboard: https://t.co/BkU91SBOe1
>>>>> ๐๐ถ๐๐ฒ ๐๐ผ๐ป๐๐ฟ๐ผ๐น: ๐ฃ๐ฟ๐ถ๐๐บ๐ฎ๐ซ ๐๐น๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐ฎ๐๐ป๐ฐ๐ต๐ฒ๐ ๐๐ผ๐ป๐๐ฟ๐ผ๐น ๐ผ๐ณ ๐ฅ๐ฒ๐ฎ๐น ๐ฅ๐ผ๐ฏ๐ผ๐๐ <<<<<
On August 5, 2025, Bayley Wang announced the launch of a teleoperation platform at the first RoboCon by @PrismaXai
"The launch of our platform is the first step toward mass adoption of robots" he said
"Its a proof of concept for a future where humans and robots work hand in hand"
๐ช๐ต๐ฎ๐๐ ๐ช๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ฅ๐ถ๐ด๐ต๐ ๐ก๐ผ๐
The platform allows users to log in and control a robotic arm from anywhere in the world.
Supported robots include the Unitree G1, Reachy 2 and MIT Mini-Cheetah.
Access is via a browser, no special hardware is required.
The platform uses ROS/ROS 2 for robot control, gRPC for efficient communication and WebRTC for low-latency streaming.
๐ช๐ต๐ฎ๐ ๐๐ต๐ฎ๐ป๐ด๐ฒ๐ ๐ง๐ต๐ถ๐
Before the platform's launch, teleoperation was the domain of large corporations with their own teams and infrastructure.
Now, anyone with a computer and a Solana wallet can control a real robot and earn money doing it.
The short-term focus is teleoperation and collecting visual data for model training.
In the medium term, operators will manage fleets of robots to perform real tasks for real customers.
In the long term, robots will achieve high autonomy based on the fundamental models developed in the first two stages.
The network will transition to providing production services for millions of machines.
"๐๐ฉ๐ฆ ๐ญ๐ฐ๐ฏ๐จ-๐ต๐ฆ๐ณ๐ฎ ๐ท๐ข๐ญ๐ถ๐ฆ ๐ฐ๐ง ๐ต๐ฉ๐ฆ ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ ๐ช๐ด ๐ต๐ฐ ๐ฃ๐ฆ๐ค๐ฐ๐ฎ๐ฆ ๐ต๐ฉ๐ฆ ๐ง๐ฐ๐ถ๐ฏ๐ฅ๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ข ๐ญ๐ข๐ณ๐จ๐ฆ-๐ด๐ค๐ข๐ญ๐ฆ ๐ง๐ถ๐ต๐ถ๐ณ๐ฆ ๐ญ๐ข๐ฃ๐ฐ๐ณ ๐ฎ๐ข๐ณ๐ฌ๐ฆ๐ต" says Bayley Wang.
>>>>> ๐ช๐ต๐ ๐ฃ๐ฟ๐ถ๐๐บ๐ฎ๐ซ ๐ถ๐ ๐๐ต๐ฒ ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐ฎ ๐ป๐ฒ๐ ๐ฒ๐ฟ๐ฎ <<<<<
We are used to thinking of AI as something digital.
Text, images, videos it all lives on a screen, but the next wave is different.
Everything that moves will eventually become autonomous. Every car today is already a robot. We're moving toward general-purpose robots.
And this wave has a fundamental problem: there's almost no data for it.
๐ง๐ต๐ฒ ๐๐ถ๐ป๐ฑ๐ผ๐ ๐ถ๐ ๐๐๐ถ๐น๐น ๐ผ๐ฝ๐ฒ๐ป
For text-based AI, it's almost too late to fix the issues of fairness and data availability, but for robotics, where a large-scale open dataset doesnt yet exist, the window is wide open. @PrismaXai is pioneering this position.
๐ช๐ต๐ฎ๐ ๐ฃ๐ฟ๐ถ๐๐บ๐ฎ๐ซ ๐ถ๐ ๐ฏ๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
PrismaX is introducing a fair use standard, where data producers earn based on the value their data brings to models.
Three pillars:
๐ฑ๐ฎ๐๐ฎ โ stimulating large-scale visual datasets, ๐๐ฒ๐น๐ฒ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป โ standardizing remote robot control, ๐บ๐ผ๐ฑ๐ฒ๐น๐ โ creating autonomous robotic models in collaboration with AI teams.
๐๐๐บ๐ฎ๐ป ๐ฎ๐ ๐๐ต๐ฒ ๐๐ฒ๐ป๐๐ฒ๐ฟ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฆ๐๐๐๐ฒ๐บ
"Our platform will enable humans to work with AI, not be replaced by it. As the industry evolves, it's important to remember: human capital is essential to building models that can continue to scale" โ Bayley Wang, CEO of PrismaX.
Soona Amhaz of Volt Capital noted:
"PrismaX addresses a fundamental gap in physical AI: access to high-quality visual datasets that are both accessible and scalable. As autonomy moves into the real world, its clear that the current infrastructure cant keep up"
๐ช๐ต๐ ๐๐ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ ๐ก๐ผ๐
Whoever controls the data of the physical world controls the future of autonomous systems.
PrismaX is building the Common Crawl for the real world and its doing so openly, with fair value distribution among all participants.
This isnt just a project. Its the infrastructure of an era that has already begun.