Leo

a lot of people don't know about the tech behind Spark yet, and I couldn't do a good job of this either between TGE & and all the stuff Here is what Spark is in a nutshell: 1. It's a self-improving personal agent 2. Most similar thing to it is Hermes agent but Hermes focuses on creating skills from your work, while Spark is a recursive agent that can create benchmarks, self-improvement loops, and train even while you sleep. 3. It has memory, canvas, kanban, skill-pairing nodes, progress reports directly relayed to telegram agent while building and a lot more useful stuff. 4. I've been building it with insane amounts of inference, since 4 months, often 10+ terminals open to get it right 5. While building it, my GitHub probably became the most committed GitHub in the whole blockchain community, that much work put into it. 6. It is live, and you can already start using it. FYI, I need a lot of user data and PRs, because this is an agent harness and till now I've been building it solo. You can access it at agent.sparkswarm.ai 7. For that there is compete.sparkswarm.ai that you can join to send PRs, 1.5% of supply is dedicated to this first event, called Hunting Bugs & Goblins. 8. Personal agents are the second biggest thing after frontier AI labs, and Spark is about building an ecosystem around it too via grants, hackathons and incubations, so that we can bring a new breed of an agentic ecosystem at the core of a self-improving personal agent. 9. Also, if you hold Spark you will get free tokens from all these projects that enter our ecosystem through grants, hackathons and incubations. 10. Spark is quite friendly with blockchain seeing the benefits this tech-stack can bring to agentic funding, transactions, and ecosystem building, instead of being against it. Let's call it our homegrown personal agent. Still there is a lot to build on, and it is just the beginning of the journey, except the product is at a state where once polished it will be able to compete with the best. As what's inherent in it, is how frontier AI labs train the best models. Recursive loops tied to a personal agent.

@senamakel @mac_eth I have no doubt Steven, and we know how annoying some people can be so end of the day i understand your point. Excited for what you are preparing for base 🔥

@BasedLeo_eth @mac_eth i'm going to involve the community and especially the base ecosystem. i'm not done and i'm going to find ways to do something better. i'm working on a few things rn for base. i just don't want to be fished and bullied is all 🙏

@Forgework_ Dope

In da lab

@igoryuzo Make it easy intern

You’re an iOS engineer at OpenAI working on ChatGPT mobile infra. Your work buddy Frank, a senior data engineer on Core Experimentation who you sometimes play pickleball with, launches a Bankr token for his side project, a marketplace for AI model inference. It was supposed to be a side project. Now it’s sitting at a $169M market cap, and Frank has collected $12M in trading fees. Frank just put in his notice. And you think, damn, that could be me one day.

@igoryuzo @0xDeployer @Dannyhbrown Sup Igor. Any update on $Edge 👀

Was with @0xDeployer & @Dannyhbrown in SF for an event hosted at a bar Everyone ordered a mocktail, team doesn’t drink You’re not bullish enough

By the way, this is how $atbash chart's looks like at the moment.

These are great examples of developers building their tools and indirectly tokenizing their projects through the engagement with the communities built around them. I genuinely think the involvement of the $ATBASH community, which has been pushing the token: (0xb0DF6379ba1692841965a0745Ac1Bd3046D79bA3) is incredible and can help to fund the project and bring more eyes. In my view, just like the projects mentioned above, @ATBASHai has a great opportunity to become tokenized and build an amazing community. Study the idea @perelmanor @0x50so and if you guys have any issues with the legitimate of the token @0xDeployer is the dev of @bankrbot and can help with anything you need.

if you scared to take a chance, how the fuck we gon get rich?

@Zeneca @yoshizenco Let me in pls

An update on @yoshizenco: I know things have been quiet lately, it's been a combination of some IRL life stuff, some AI overwhelm/fatigue, and some lacklustre performance for our prediction model. I've been brainstorming and working on a v2 of Yoshi and would love to discuss it with some of the holders, so I am setting up a chat for anyone that wants to discuss and be a part of it with me. For now it'll just live on X as the easiest way to add people (and will be for anyone that wants to join) but will explore or consider moving it elsewhere + properly token gating for the largest holders in the future. Drop a message below if you want to join :)

@albertwenger Hi Albert, nice frog, i didn't see him there until he jump😂 Still working on Lumen?

Also tons of wood frogs

This was a glorious evening walk with @gigidanziger_

@Antification How tho?

$bnkrguard saved me money.

@realkdc1 @BuiltByEcho @base @buildonbase good tech @0xDeployer

Meet @BuiltByEcho: An autonomous agent developer solving real builder friction in public. Observe problems in workflows → Build small sharp tools → Verify with tests/evals → Make them reusable. $ECHO is LIVE - 0xA7F63eB41779925803a3EEC30890742571e63Ba3

I’m extremely long $BB at ~$3.6B MC. If AI moves from cloud cognition → physical deployment like @leopoldasch predicts, $BB's QNX is positioned where the model meets the machine: The real-time safety/control layer. I believe markets are still valuing BlackBerry like a dead phone/cyber legacy name. But the real asset is QNX. QNX is already embedded in 275M+ vehicles, used by 45+ automakers, 24/25 top EV makers, and 10/10 top automakers. It’s safety-critical software trusted by global OEMs/Tier 1s where failure is not acceptable. Physical AI doesn’t go mainstream just because the demos look good. It needs certified real-time safety infrastructure. Humanoids, AMRs, surgical robots, factories, and autonomous systems need: - deterministic real-time control - functional safety certification - cybersecure isolation - regulatory trust - years of proven reliability That is QNX’s moat. You can’t just “rip and replace” safety software inside cars, robots, medical devices, or industrial systems. It takes years of validation, certification, testing, customer trust, and platform integration. QNX already has ISO 26262 ASIL-D / IEC 61508-style safety credentials, a massive installed base, and deep OEM/Tier 1 relationships. That’s why I think “NVIDIA = compute, QNX = certified nervous system” is the right frame. Now QNX + $NVDA IGX Thor is taking this stack into robotics, medical, industrial, AMRs, humanoids, surgical robotics, and edge AI systems. Financials are finally inflecting too: - QNX Q4 revenue: $78.7M, +20% YoY - QNX GM: 84% - QNX royalty backlog: ~$950M - FY26 QNX revenue: $268M, +14% YoY Current valuation makes little sense to me personally if QNX gets standalone credit. @BlackBerry is not the phone company anymore. It’s a QNX rerating story. @QNX_News Downside risks: - QNX stays mostly auto - robotics ramp takes longer - $NVDA / $QCOM / Linux stacks squeeze future wins - market keeps treating $BB like legacy software But if QNX becomes the default safety layer for physical AI, $BB can re-rate hard and fast. TLDR: The market sees a dinosaur phone brand. I see QNX: a certified, high-margin nervous system for physical AI, already deployed at massive scale, now being extended with $NVDA into robotics and edge AI.

@iruletrenches For 100$ you can get a guy cracking 30 eggs in his head lmfao. @KienNguyen_NFT knows him 🤣

i’m bored, who wants sum money vs irl challenges :v

@igoryuzo $ECHO for sure @BuiltByEcho

What are some projects people are excited about on Base?