Decasonic ⏩

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Decasonic ⏩

Decasonic ⏩

@decasonic

Decasonic is the venture and digital assets fund building blockchain, Web3, AI and metaverse innovation.

Chicago, IL Katılım Nisan 2018
16 Takip Edilen2.3K Takipçiler
Decasonic ⏩
Decasonic ⏩@decasonic·
Eid Mubarak 🌙✨ Wishing you peace, joy, and prosperity as you celebrate with loved ones. May this Eid bring new beginnings and meaningful moments. #EidMubarak
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Decasonic ⏩
Decasonic ⏩@decasonic·
The stablecoin race is shifting from market cap to real-world integration. USDC surpassing USDT in transaction volume, fueled by prediction markets and agentic commerce, signals growing demand for regulated, programmable dollars embedded in financial systems. This momentum highlights a broader trend: institutions are prioritizing transparency and interoperability as stablecoins become core settlement infrastructure. coindesk.com/markets/2026/0…
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Decasonic ⏩
Decasonic ⏩@decasonic·
A decades-long regulatory turf war just ended. The SEC and CFTC’s new MOU signals a structural shift toward a unified, fit-for-purpose framework for digital assets, aligning enforcement, data, and product oversight. For founders and institutional capital, this reduces duplicative friction and sharpens regulatory clarity. Market structure, not speculation, will define the next era of U.S. digital asset leadership.
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Paul Hsu
Paul Hsu@paulhsu·
agency becomes increasingly valuable in the AI era
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Paul Hsu
Paul Hsu@paulhsu·
Learnings from our AI Ship Day (ASD) today, after reviewing four AI agentic product demos: Clarifying AI product principles can accelerate our AI product designs. Generative AI has dramatically expanded what we can do with AI and agentic software. Yet many products still leave much of its potential untapped in their interfaces. The constraint is rarely the model, memory or context, but rather the unbounded imagination in product design.
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Decasonic ⏩
Decasonic ⏩@decasonic·
We covered some great insights and discussions you won’t want to miss. Tune in when you have a moment and let us know your biggest takeaway! 🚀 x.com/i/spaces/1oJMv…
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a16z
a16z@a16z·
New media runs on speed. @pmarca on the OODA loop: "Speed wins." "If you can have a sustainably faster OODA loop processing cycle than the next guy... then if you think about what happens — let's say it takes an hour to figure something out." "It takes the other guy two hours to figure something out. Think about what happens is: you start out on even playing field. You both start your decision making cycles." "You make your decision within an hour. The other guy is still say, is inside his own OODA loop when you make your decision, right?" "He's only halfway through his process, he now has to start his process over, right — because you've changed the landscape. You've changed the parameters of what's going on. So he now has to go back and re-serve and reorient and start over." Observe, orient, decide, action.
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a16z@a16z

"Speed wins." "You have to be willing to commit to being fast. You can't have long bureaucratic processes. You can't have a risk-averse posture." @pmarca explains the OODA loop — and why the fastest operator controls the narrative in business, media, and politics: "There's a framework called the OODA loop, originally developed for fighter pilots and later for broader military strategy." "It stands for observe, orient, decide, act. It's basically the decision-making cycle." "If speed is the thing that matters, then the person who gets through that cycle the fastest is the one who's going to win." "If you can have a sustainably faster OODA loop processing cycle than the next guy — think about what happens… You operate and make a decision within an hour. The other guy is still inside his own OODA loop when you make your decision. He's only halfway through his process and now has to start over. You've changed the parameters of what's going on." "This is also a big explanation for what's happened in traditional media." "The New York Times has its own OODA loop, and it's like 24 hours to go through its process."

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Paul Hsu
Paul Hsu@paulhsu·
Key question for our weekly internal @decasonic AI Ship Day from Friday: how can we compound our advantage in our AI operating system, workflows and AI teammates? As AI adoption accelerates, what keeps me up at night is how fast we can build and adapt. The team's demos highlighted this accelerating pace at which our platform for AI workflows and agents is evolving. My challenge to the team was to embrace a deeply AI Native perspective in generative AI products. What was best in class last year is no longer best in class today and certainly not future proof for tomorrow. For some legacy apps, we have decided to pause and sunset. For many apps, we have decided to upgrade with frontier augmentation capabilities. For our fresh innovations, we have streamlined how AI enhances how we build, with scoring parameters across automation, augmentation and target impact (relative to token costs). Systems level visibility, aka our "AI HR Department," guides the performance of AI apps and teammates in real time, benchmarking where we should set for semi-autonomous or autonomous workflows. A new MCP Hub now connects more than 30 live AI applications into a single operating environment where agents can discover context, tools, and capabilities and self coordinate as part of a larger system. Underneath it all, our memory layer allows context to persist across the workflows of AI and Humans. Instead of interactions resetting, the system logs actions and decisions, compounding how his recursive learning strengthens the collective intelligence and builds durable operational knowledge over time. Always energizing to have every AI Ship Day push the frontier forward of what we do, learn and improve. Learn by Doing.
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Abdul
Abdul@abdulalali·
the upstream migration of model layer companies continues to accelerate. @claudeai is moving up the stack towards the "interface-layer," through an OS and an application-layer in the form of a marketplace. ownership of the core execution layer is the core moat. where you code, connect applications, and launch them allows you to own the execution and workflow layer - making model layer companies harder and harder to switch regardless of the levels of differentiation.
Claude@claudeai

Introducing the Claude Marketplace, a way for enterprises to simplify their procurement of AI tools. Now in limited preview.

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Paul Hsu
Paul Hsu@paulhsu·
generative AI personalizes the software interfaces. this catalyzes SaaSpocalypse
Milk Road AI@MilkRoadAI

The CEO of a $95 billion company just said something that should TERRIFY every software executive on the planet. Patrick Collison, the man who built Stripe, went on TBPN last week and compared the entire software industry to frozen food. His words: "Software has been created years beforehand, freeze-dried, and then prepared at the moment of consumption." That era is ending. His new model for software? Pizza. Fresh pizza, made to order, right then and there. Exactly what you need, the moment you need it. That is the future Collison sees for all software. What does that actually mean? It means AI agents will build you custom software in real time. No subscriptions, bloated dashboards and one size fits all. Software cooked for you, that moment, then gone. This is already happening. Anthropic launched Claude Cowork in January. Within weeks, $2 trillion in software stocks evaporated. IBM had its worst trading day in 26 years, legalZoom dropped 20% and the entire SaaS sector is in freefall. They're calling it the SaaSpocalypse. The old software model was simple, spend millions building a product, sell it to everyone and collect subscriptions forever. Fixed cost, infinite monetization and winner takes all. That game created trillion dollar companies: Salesforce. Adobe, Oracle, Microsoft. Collison says that game is now breaking. Why? Because AI introduces real cost at every use. Inference costs, custom creation costs, every single interaction has a price tag. No more build once, sell forever and he called it the non-Walrasian software regime. Translation: The winner take all economics that built Big Software are collapsing. When every user gets custom software built on demand, there is no single winner. There are thousands of winners or none. Think about what this does to pricing. No more $50/seat/month or enterprise contracts worth millions. Instead, you pay per task, outcome and for what the AI actually built you. The entire revenue model of SaaS is being rewritten. Klarna already ripped out Salesforce and replaced it with AI. Cursor ditched its paid CMS and built a replacement from scratch. Companies are doing this now. The dominoes are falling. The entire industry is being rewritten in real time.

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Decasonic ⏩
Decasonic ⏩@decasonic·
Durable consumer AI companies are built by designing systems that earn trust compound intelligence and become indispensable over time.
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Decasonic ⏩@decasonic·
Web3 primitives can significantly amplify the defensibility of consumer AI products.
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Decasonic ⏩@decasonic·
Defensibility strengthens when AI is embedded in real workflows and persists across sessions.
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Keşfet

@pmarca @claudeai @abdulalali @0xBebis_ @Cod3xOrg @elonmusk @BarackObama @taylorswift13