
Hamster
1.2K posts





While many people know @get_optimum for its decentralized memory layer and RLNC technology, it’s the people behind the project who are making this vision possible every day. @MurielMedard -Co-Founder & CEO, MIT professor, and one of the pioneers of RLNC technology. Kishori Konwar - Co-Founder, leading the technical architecture and engineering behind Optimum. @kentlinyy - Co-Founder, driving partnerships, strategy, and ecosystem growth. Lewej Whitelow - Senior Technical Program Manager I wanted to draw the people behind the project because we often talk about technology, infrastructure, and innovation-but it’s easy to forget the team making it all happen. This is my small tribute to the people building the future of decentralized infrastructure


I’ve completed 98 validation episodes this month on @PrismaXai with 9,800 Prisma Points currently pending consensus. One thing I appreciate is that PrismaX focuses on accuracy rather than speed. So your reviews must: - Stay within ±15% of the final consensus score - Match the community’s pass/fail decision That means validators aren’t simply clicking buttons. Every review contributes to building high-quality datasets that Physical AI can actually learn from and trust. I also appreciate the monthly validator rotation model: - Only 100 Validator spots are available - The bottom 25 rotate out each month - The top 25 contributors earn their place as new Validators It creates a healthy balance between competition, consistency, and opportunities for new contributors. For me, validation has become more than earning points. It’s about understanding how reliable training data is created - and how every accurate decision helps shape the future of robotics and Physical AI. 98 episodes down. The journey continues


JUST IN: Apple $AAPL raises iPads and Macs prices due to memory chip costs: • iPad Air: $599 → $749 • MacBook Neo: $599 → $699 • iPad Pro WiFi: $999 → $1,199 • MacBook Air: $1,099 → $1,299 • MacBook Pro: $1,699 → $1,999

$STRC is already down 25% in 2 weeks. Now trading at $73. The thesis is playing out in real time. Don’t say I didn't warn you. You just ignored it.

🚨 THIS IS BECOMING A NIGHTMARE FOR MICHAEL SAYLOR. $MSTR is now down -81% from its all-time high, wiping out over $94 BILLION in value. Meanwhile, $STRC completely lost its $100 peg. Down to an all-time LOW of $80.5. The market is starting to ask an unthinkable question: Will Strategy eventually have to sell Bitcoin? This is why Bitcoin is selling off.



Pre-orders for Grand Theft Auto VI begin at midnight local time on June 25. Learn more about the Ultimate Edition and pre-order bonuses at rockstargames.com/VI.

Is Elon Musk a scammer ???




Realizing my $10k is only worth $7.4k now. I deposited 10k USDC and swapped them to 10k sUSD for the trading comp but never actually traded. sUSD has depegged and trades at $0.75 now. Barely any talk on CT. WTF is this shit?


When people think about infrastructure, they often imagine something distant and highly technical. Servers, networks, and data moving quietly in the background. Yet almost every digital experience depends on these invisible systems working reliably behind the scenes. That’s one of the reasons I enjoy following @get_optimum The project is building a decentralized memory and data layer designed to help information move more efficiently across networks. Rather than focusing on short-term hype, the team is working on a fundamental challenge: making data available where and when it’s needed. Looking at this small note on my desk today, I realized how well it reflects that idea: Be calm. Be patient. Be with Optimum. Because meaningful things rarely happen overnight. Strong infrastructure, like strong communities, is built gradually -connection by connection, node by node, day by day.


Based on my previous experiences controlling the robotic arm in @PrismaXai I want to raise the topic of spatial awareness. From the outside, tele-op looks surprisingly easy. The robotic arm moves smoothly. Objects are picked up within seconds. Everything seems intuitive. But once you’re the one behind the controls, U realize how different the experience really is. One of the biggest challenges isn’t learning the controls - it’s developing spatial awareness. Through a camera, distances feel different. An object that seems close enough to grab may actually be much farther away. Angles can be misleading. Depth perception changes completely. At first, U think: “Just a little closer.” Then U move the arm… and realize it’s not as easy as it seemed. The only way forward is time, practice and learning. With time and repeated sessions, we gradually improve our skills. I’ve found that small adjustments make a big difference: -slowing down movements -using surrounding objects as reference points -changing camera perspectives whenever possible -making smaller, more deliberate corrections instead of large movements Over time, these habits help build a better sense of distance and orientation. Tele-op isn’t only about controlling a robot. It’s about training your brain to understand a new perspective and adapting to a world U can only see through a screen. Every session teaches U smth new: how to estimate distance better, how to adjust your movements and how to trust experience over first impressions. Behind every precise movement is a human learning how to navigate an unfamiliar space @vivianrobotics @MaxC16134










