Sometimes the root of the problem lies not in the model itself, but in mundane delays For Physical AI, this is a crucial point, because a robot needs to react instantly to what is happening in real time, relying on object recognition. Even a good model can perform worse if camera data reaches it late The @PrismaXai team has already faced this challenge. The Python pipe buffer delayed camera frames, waiting for 64 KB of data to accumulate. After fixing this issue and optimizing inference, the time for one π0.5 step dropped from 230 to 87 ms The changes showed up not only in the numbers but also in the robot’s behavior, it approached the object faster, paused, and slightly adjusted its position before grasping it I appreciate that PrismaX understands both the model itself and the system as a whole. In Physical AI, details like these matter a great deal, because there is still the entire journey from camera to robot between a correct prediction and a successful action Read below in the article to find out exactly how they identified and eliminated this delay

Registration is done. The first step is complete @GenLayer is moving ahead, connecting blockchain and AI. Can't wait for the next step!

Ethereum is speeding up Optimum launched mump2p on Ethereum mainnet. Data is transmitted across the network 2–3 times faster, helping validators work more efficiently and strengthen the network $3.4B in staked ETH is already using this boost Access is now free for all Ethereum node operators A strong start for Optimum

In my view, the most practical idea of @RialoHq might not be in speed, but in how their network payment is structured In a regular blockchain, my capital and expenses live separately. I stake some tokens to earn income, and I hold others specifically for gas, storage, and everyday operations. Because of this, I have to constantly monitor the balance, buy tokens for fees, and top up my wallet, even if my main capital is already generating income. Familiar, right? Rialo has the Stake-for-Service mechanic. Simply put, staking income can pay for network operations itself. I don't need to withdraw rewards or let them sit idle; they can automatically support the operation of my wallet, application, or contract For mass services, this is more important than it seems. Subscriptions, regular payments, automated agents, and corporate processes require clear and predictable expenses. I don't want to constantly control the gas balance, especially when it comes to the long-term operation of a product I am pleased by Rialo's comprehensive approach, focusing not only on code and technology, but also on everyday convenience. This is truly caring for the real user, not just for beautiful network metrics.

Demo is not deployment For @PrismaXai this is far from just a buzzword, but one of the fundamental challenges in the field of Physical AI. In the full recording of the panel From Lab to Deployment @castorhat from PrismaX discusses this topic with Sharon Lee from @moonlake and Vivek from @agilityrobotics. They talk about sim-to-real, models that have to run on the robot itself, and how to understand whether a solution really suits the customer The moment about reliability especially stuck with me. A 96% success rate over ten attempts sounds impressive, but will the system hold up over 100 000 repetitions? In real-world deployment, errors accumulate, and that is precisely where it is tested whether the robot is ready to work For PrismaX it is important that the conversation about robots doesn’t end with the model or demo. A path to real tasks, conditions and customer requirements is needed The full recording of the panel is below via the link.

Why Is Asia Ready for the Next Stage of Blockchain Adoption? At @token2049 , @get_optimum CEO @MurielMedard told CNA that the region combines several important factors, diverse needs in digital finance, interest in new technologies, and openness to innovation Demand looks different across countries, from Singapore’s financial institutions to South Korea’s consumer market. But this diversity itself can become an advantage. It creates room for different blockchain and DeFi use cases For the industry to continue growing, it needs not only technology, but also talented people willing to experiment, as well as clear rules. When all these elements come together, innovation has a better chance of moving beyond discussion and becoming part of everyday life Read the full CNA article in Chinese below.

A substantive, subject-oriented conversation about data quality, accessibility, and the invisible work behind Physical AI. Take a look and reflect on the difference between data for robots and data that is truly useful for training The role of experienced teleoperators and the quality of demonstrations for complex tasks is particularly interesting. I recommend this to everyone following the development of robotics.

120 points already in the piggy bank I'm not with Rialo for the first day I'm terribly curious to see exactly how the team will decide to surprise us next and where this vector will lead @RialoHQ, continuing to be part of the movement.