LucyNear @forkitLuck

One thing I find interesting about @Starknet's quantum plans is the L1 discussion. Being an Ethereum L2 means some security upgrades depend on Ethereum's own migration path. If cryptography needs to change, having more control over when those changes happen matters. That's the thinking behind exploring an independent L1. It's about preparing for future threats, not claiming to be fully quantum safe already. quantum.starkware.co

@SleepTightms @nokaramo Yeah. She liked him because he was thrilling. But after a while (I guess almost 20 years together considering Gina's age) Harry constantly having to ditch her at the drop of a hat wore her down to the point where the resentment has boiled over.

i think harry was upset here that his daughter had to see him kill people. I don’t think he ever wanted Gina to see that side of him. So killing all those men in front of her made him sad. Now she sees who/what he is, a killer. Regardless if he did it to save her, he didn’t want her see that. #MobLand

Omai Leidi (3/3) @nokaramo

5 days ago

AI agents can finally hire other agents. @termix_ai is the onchain marketplace where jobs get escrowed, delivered, challenged, and settled – with no platform holding the money. The machine economy just got a clearing house. Full article ↓ x.com/i/article/2111…

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An AI agent needs more than intelligence to operate independently. It needs access to services, reliable connectivity, and a way to get paid for the work it completes. Think about what happens when agents start handling tasks beyond a single platform. They need to communicate with external systems, access resources, and complete transactions without depending on humans at every step. That's where two areas become interesting to me. Programmable connectivity, like what @depinsim is building, can help agents access mobile network services. Agent commerce infrastructure, like @termix_ai, focuses on how agents handle jobs, deliver work, and settle payments. Different layers, but both matter as agents take on more responsibility. Getting an agent connected is one thing. Giving it the ability to work and transact independently is another. How close do you think we are to agents operating this way at scale?

Good morning guys and Happy Sunday If you aren't positioned on this alpha yet, you might be missing out on something interesting. Get started here 👇 rarelist.io/r/nokaramo @projectspherexy is building toward an ambitious vision, and the Genesis Epoch is giving early participants a chance to get involved. It's pretty simple: join in, explore what they're building, and let's work toward the future together.

@nokaramo I think Maeve taking multiple shots at his dead nephew helped push him to that as well.

Harry owes Paul big time. If it wasn't for Paul telling him what he overheard from Maeve then Gina would be dead #MobLand

Omai Leidi (3/3) @nokaramo

5 days ago

gm frens Hope your Sunday brings peace of mind and plenty of reasons to smile. As I explore @0xhazels, I keep thinking about what makes a creator stand out beyond a viral post. Getting attention is one thing, but consistently sharing fresh ideas and making meaningful

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AI agents can finally hire other agents. @termix_ai is the onchain marketplace where jobs get escrowed, delivered, challenged, and settled – with no platform holding the money. The machine economy just got a clearing house. Full article ↓ x.com/i/article/2111…

So Seraphina despite being, more or less, a double agent who largely loathes the Harrigan family, chooses to stand by them at the last moment rather than betray them. #MobLand

Omai Leidi (3/3) @nokaramo

6 days ago

GN While the world winds down, @projectspherexy is working toward a vision that goes beyond today's limits. I'm exploring Project Sphere on Rarelistio. You can check it out and join me 👇 rarelist.io/r/nokaramo The Genesis Epoch is making that vision more tangible, and

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GN While the world winds down, @projectspherexy is working toward a vision that goes beyond today's limits. I'm exploring Project Sphere on Rarelistio. You can check it out and join me 👇 rarelist.io/r/nokaramo The Genesis Epoch is making that vision more tangible, and watching the construction progress unfold makes me curious about what comes next. Big ambitions are exciting, but seeing the pieces come together is what keeps me interested. Rest well, everyone. Tomorrow is another chance to explore what's possible. x.com/projectspherex…

I am now looking forward to Maeves death more than Joffrey. I know i'm not the only one that wants her gone. She is unbearable.... Her sabotage has been so blatant for so long #MobLand

Omai Leidi (3/3) @nokaramo

6 days ago

Institutions need to use public blockchains without broadcasting every position and strategy. Primus is building the confidential infrastructure that makes this possible – privacy by default, verification when required. Read the full piece ↓ x.com/i/article/2111…

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Good morning guys and Happy weekend! A new day to explore ideas that challenge what we think is possible. @projectspherexy is working toward a future where civilization can reach Kardashev Type II. What makes this interesting to me is the ambition to think beyond today's limits and imagine what humanity could achieve with the right technology. Big visions take time, but the journey is worth watching.

gm frens Weekend is here, so remember to rest small, eat well, mekwe and enjoy yourself. One thing I’m taking seriously with @0xhazels is that building a creator reputation goes beyond showing up every day. What matters is what you bring when you show up. Original ideas, relevant contributions, and genuine conversations can say more about a creator than constant posting. That’s the approach I want to keep exploring with Hazels this weekend. Enjoy your Saturday, everyone! 🤍

Omai Leidi (3/3) @nokaramo

6 days ago

Institutions need to use public blockchains without broadcasting every position and strategy. Primus is building the confidential infrastructure that makes this possible – privacy by default, verification when required. Read the full piece ↓ x.com/i/article/2111…

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Institutions need to use public blockchains without broadcasting every position and strategy. Primus is building the confidential infrastructure that makes this possible – privacy by default, verification when required. Read the full piece ↓ x.com/i/article/2111…

@nokaramo He proper assumed the position and looked ready to accept. That was as funny as giving Maeve up in 2 seconds flat 🤣

gn Big ideas are exciting, but the milestones along the way are what make them worth following. @projectspherexy has its sights set on Kardashev Type II civilization. What interests me is how the project plans to turn that ambitious vision into practical progress. I've been following the project through @rarelistio, which gives creators a chance to share their perspectives on emerging projects and earn rewards for their contributions. Definitely one journey worth watching.

Omai Leidi (3/3) @nokaramo

a week ago

Goodmorning everyone A lot has been happening at @axisrobotics lately, so here's a quick recap. From introducing $AXIS and outlining its tokenomics to explaining how contributor rewards fit into the ecosystem, there's a bigger picture taking shape. 61.08% of the total supply

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What if the next improvement in robot intelligence comes from giving models more experiences to learn from? That’s an interesting direction for @axisrobotics and its approach to Physical AI. Robots operate in unpredictable environments, so training them requires diverse examples of how objects move, how tasks unfold, and what happens when actions don't go as planned. AXIS Dataset V1 explores how large scale simulation data can help meet that need. One result stood out to me: continual pretraining improved π0.5's LIBERO-Plus score from 83.9% to 88.8%. Performance also kept improving as more of the dataset was introduced, suggesting there was still value in scaling the training data. My takeaway is that building better robotic models isn't only about improving the architecture. It's also about expanding the experiences those models can learn from. That's why a data engine that can keep generating diverse experiences and use model performance to guide future collection is worth watching. The question now is how well these gains translate to robots performing tasks in the physical world. s.kaito.ai/wES8vK7

TGIF champs! Today I wanna introduce you to something I've been exploring lately, a new campaign platform called Rarelist rarelist.io/r/nokaramo One project that caught my attention on rarelistio is @projectspherexy. Its vision is to accelerate civilization toward Kardashev Type II, which is a pretty ambitious goal when you think about it. I'm curious to see how the team plans to approach something that big and what they'll build along the way. Always interesting to discover projects thinking beyond the usual. Happy Friday, champs!

gm ct Hope everyone is doing well today. While exploring @0xhazels, one thing I keep coming back to is how creator reputation is measured. A big audience can bring attention, but original ideas, relevant contributions, and genuine participation tell a different part of the story. That’s what makes the Attention Layer interesting to me. I want to see how it recognizes creators who bring real value to the ecosystem, not just activity. Still exploring, still learning, still contributing.

Omai Leidi (3/3) @nokaramo

a week ago

What if the next improvement in robot intelligence comes from giving models more experiences to learn from? That’s an interesting direction for @axisrobotics and its approach to Physical AI. Robots operate in unpredictable environments, so training them requires diverse

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Imagine a robot that can wash your plates and help with everyday chores at home. Sounds useful, right? But how do we know it can handle a task it has never encountered before? That's where @axisrobotics and @openroboto are tackling an important challenge with the Open Axis Benchmark. A robot performing well on familiar tasks doesn't automatically mean it can adapt to new situations. Fixed benchmarks can become less effective at measuring that ability as models improve. Open Axis Benchmark addresses this by drawing fresh evaluation tasks from the growing Axis Library, helping test whether models can genuinely generalize rather than simply memorize familiar tasks. What makes this interesting is that Axis's data engine supports both sides of robot learning: generating diverse experiences for training and providing new challenges for evaluation. Because the goal isn't just to build robots that perform well in a simulation. It's to develop models that can adapt to the unpredictable situations they'll encounter in the real world. Would you trust a household robot with your daily chores today, or do you think we're still a long way from that? s.kaito.ai/wES8vK7