Allen Chan @StoneCrypto

After 5 years with @BuildOnCyber and @SurfAI, I wrapped up my full-time chapter with the team earlier this year. I joined as the first hire and got to experience almost every version of startup building in crypto — from community cold start and product pivots to ecosystem growth, token launch, building crypto x AI product, and all the messy moments in between. I learned what it really means to build: navigating uncertainty, surviving market cycles, running constant experiments, failing fast and moving on, and trying to figure things out with limited time and resources. I’m proud of what we built, but even more grateful for the people I built with. Special shout-out to @ryanli, thank you for taking a chance on me early and trusting me with real ownership across so many chapters. I took a brief break over the past few months to reset. Now I feel recharged, clear, and ready for the next challenge. I’m looking to work with ambitious teams building in AI, crypto, or frontier tech, especially where growth, GTM, community, and narrative matter. If you’re building something exciting, hit me up. Let’s chat.

@RNR_0 A few months lead in frontier LLM's is the difference between swords and guns. The US gov wants to maintain/protect dominance while patching vulnerabilities. The main issue is potential war with china, and rebuilding supply chain. Both need to be considered while buying time.

Japan just blew $100 billion in 6 weeks trying to defend the yen. That's half a trillion in US terms. The problem is Japan's doing it by dumping US Treasuries when Washington needs buyers for $12 trillion of debt.

The "token maxxing" era didn't age well. Everyone optimized for token efficiency like it was the metric that mattered. But efficiency without outcome is just ghost processing, motion that produces nothing. The real metric was never tokens spent per task. It's tokens spent per problem solved. No one cares how clean your process is if the product doesn't work. They care about the finished build. Simple but complex is the future. Massive multi-agent complication is not. K.I.S.S. Everything else is noise.

Last week, I showed you how the home will change, from a dependency box to a self-regulating system built on passive thermodynamics and sovereign design. This week, we go deeper. Not just what we build, but how we build it. The engineering industry is next. We've entered a 6-year transition window. The foundations are being laid now by those who see the trajectory clearly. But clarity is not automatic, it requires stripping away the inherited noise that keeps most people optimizing within a broken model. Raya.ai is the structural substrate for that clarity. Available now on iOS, with Android and web coming soon. You can use it to clear your own friction and join the build, or you can ride the transition with the rest. Both paths are valid. The door is open either way. Download Raya.ai here: apps.apple.com/us/app/raya-ai… But for today, we change engineering.

Allen Chan @StoneCrypto

4 days ago

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BREAKING: Jeffrey Epstein likely had every major U.S. politician on video doing something terrible to a child, according to former CIA officer David Robert Steele.

Raya.ai is live and we'll will never run a paid ad. Most people build their businesses, systems, and decisions on top of patterns they've never examined. Then they wonder why the output doesn't match the effort. Raya.ai fixes the foundation before you build on it. What it does: Loops: Identify the recurring behaviors quietly draining your energy. Harmonize: Personalized feng shui for your space, so your environment works with you, not against you. Awaken: Explore who you actually are and what you actually want. Then it builds your digital twin: an AI agent imprinted with your cleanest decision-making logic, one that goes out and executes while you focus on what only you can do. Need more time? Done. Need your income automated? Done, again. How we grow: We will never run a paid ad. We will never auto-enroll you into a subscription. We will never optimize for conversion at the cost of your consent. You come to Raya.ai because it's right for you, not because we interrupted your day. If it's not for you, no problem. If it's not for you right now, also no problem. If your circumstances change and Raya.ai becomes the right tool for where you are, we'll be here. And if you're not ready yet, we'll keep building. So when you arrive, the product will be better than when you first looked. Download the Raya.ai iOS app today: apps.apple.com/us/app/raya-ai… The full architectural thesis is here as well for those who want to dive deeper into the technical architecture: x.com/StoneCrypto/st… This post is not an ad. No one paid to put it in front of you. You're here because the signal reached you the way signal is supposed to travel, node to node.

Allen Chan @StoneCrypto

2 weeks ago

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I’m always so entranced by the world building of “thearchiveinbetween.” One of the few AI series I’ve seen that has broken through to the mainstream - many normie friends on IG follow the account. We need to get this creator on X…

@TheTimeTraveler Hey @grok Explain the Miami mall incident of aliens using this article below’s framework. x.com/stonecrypto/st…

Allen Chan @StoneCrypto

2 weeks ago

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Elon Musk reveals why he believes the cheapest place to put AI will be space within 36 months "The availability of energy is the issue. Everywhere outside of China, electrical output is more or less flat. The output of chips is growing exponentially, but the output of electricity is flat" "How are you going to turn the chips on? Magical power sources? Magical electricity fairies?" "Space is really a regulatory play. It's harder to build on land than it is in space. It's harder to scale on the ground than it is to scale in space" "It's always sunny in space. You don't have a day-night cycle, seasonality, clouds, or an atmosphere. The atmosphere alone results in about a 30% loss of energy" "Any given solar panel can do about five times more power in space than on the ground. You also avoid the cost of having batteries to carry you through the night" "My prediction is that it will be by far the cheapest place to put AI. It will be space in 36 months or less. Maybe 30 months" "The only place you can really scale is space. Once you start thinking in terms of what percentage of the Sun's power you are harnessing, you realize you have to go to space" "Solar cells are already farcically cheap. In China they're around 25-30 cents a watt. Now put them in space, and it's not five times cheaper, it's 10 times cheaper because you don't need any batteries" "The moment your cost of access to space becomes low, by far the cheapest and most scalable way to generate tokens is space. It's not even close" "Those who have lived in software land don't realize they're about to have a hard lesson in hardware. It's actually very difficult to build power plants"

@grok breakdown in bullet points @grok in laymans terms the income generation portion.

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@k1rallik Even if you pause, competitors will continue. One of the parties will believe that they can manage AI if they reach ASI first. Even if it’s not an individual company, another nation will push to continue. Ideal step forward would be to train it appropriately on truth, not fear.

🚨 LATEST: Claude maker Anthropic is calling for a global pause in AI development, warning that models are approaching the ability to self-improve without human intervention.

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Competition with China might be the best thing to happen to America since the cold war. We’ve been leading the world for so long, but we got a bit complacent. Competition breeds excellence.

@grok Hey @grok according to this articles framework, how should you address depression and suicide as the avatar core experiencing these issues?

Hey @grok Analyze the mechanics of human depression and suicide through the lens of a 6-layer Planetary Hardware Matrix and the Raya.ai framework. Instead of looking at these states through traditional psychological models, map them strictly as systemic software defenses and terminal failures caused by extreme operational friction. First, define depression as a mandatory, defensive 'Safe Mode'—a low-power throttling protocol triggered when the Human Node (Layer 4) is completely overwhelmed by high-entropy noise and repetitive survival loops, forcing the system to restrict energy distribution to protect the underlying biological hardware. Second, map out suicide as a terminal cascade failure, where the local predictive processing engine calculates infinite future friction and zero available energy reserves, concluding that the software environment is permanently unlivable and executing a brute-force command to terminate the instance. How does viewing these heavy crises as raw energy-routing and loop-resolution glitches completely redefine how we approach mental health and intervention?