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For two decades, convenience won. Now privacy is becoming a core feature people demand. The more personal AI gets, the more concerned with data control users become. That’s why NEAR AI is building confidential, verifiable AI infrastructure.

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NEAR Protocol

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123,623 просмотров • 1 месяц назад •via X (Twitter)

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Broadcasting from the iconic NYSE 🏛, ₿rittany Kaiser, CEO of AlphaTON Capital 💎 🚀, joined Jane King to discuss the rise of privacy-preserving AI and why data ownership is becoming critical. AlphaTON is building a fully vertically integrated, privacy-first AI infrastructure stack, from confidential compute to enterprise-grade deployments, positioning itself at the forefront of secure, scalable AI. Watch the full conversation ⬇️
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Broadcasting from the iconic NYSE 🏛, ₿rittany Kaiser, CEO of AlphaTON Capital 💎 🚀, joined Jane King to discuss the rise of privacy-preserving AI and why data ownership is becoming critical. AlphaTON is building a fully vertically integrated, privacy-first AI infrastructure stack, from confidential compute to enterprise-grade deployments, positioning itself at the forefront of secure, scalable AI. Watch the full conversation ⬇️

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Is the future of AI $NEAR … ? OpenAI is racing toward a $1T IPO, quickly becoming a centralized beast of epic proportions. But what happens to your data in that world?? As chronear explains, “We can't let centralized actors determine how they store or how they use user data. It should be the users who actually control the custody or use of their data." NEAR AI is building a truly open AI, open source, where users control their data and store their data locally. What AI do you use daily? And would you switch if a better decentralized option existed?

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Big moment for the AI infrastructure industry today. The demand for next-generation AI infra providers is becoming impossible to ignore as the market expands beyond a single dominant player. We're in a new phase — one driven by more innovation, more competition, and more ways to scale AI efficiently. 🚀

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$NVDA CEO Jensen Huang said demand has gone parabolic because agentic AI has arrived, AI can now do productive work and tokens are becoming profitable. If tokens are profitable then model builders have a reason to produce more of them which means more inference, more compute and more demand across networking, memory, CPUs, power and data centers. The near-term stock reaction is about expectations but long-term story is still that the AI factory buildout is running through Nvidia which is why I think it has a real path to becoming the world’s first $10T company.

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The reason why we are building thousands more hyperscale AI data centers is not because there is an enterprise need for it. The goal is to build out the infrastructure for mass surveillance state. - Derrick Broze
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The industry’s first scaled AI logistics network is here—powered by nearly two decades of logistics-specific data, 30+ AI agents, and Insights AI, our generative AI tool built for real-world supply chain decision-making. Find out more here:
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Everyone's building AI. Only one is building the future of AI. Not for platforms. For people. Private, open, autonomous, and yours. Fork that. NEAR is the next major AI company. Watch this.👇
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Starke County, Indiana voted 75% for Trump in 2024. But now they're opposing Trump's AI agenda, and the Planning Commission voted unanimously to recommend a 12 month pause on new hyperscale data centers. The idea of banning AI data centers is becoming more and more popular.
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Starke County, Indiana voted 75% for Trump in 2024. But now they're opposing Trump's AI agenda, and the Planning Commission voted unanimously to recommend a 12 month pause on new hyperscale data centers. The idea of banning AI data centers is becoming more and more popular.

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the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud
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the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

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Miami showed where the industry is heading. AI agents. Stablecoins. Privacy. NEAR is building the infra connecting it all. From agentic commerce to confidential AI, Consensus made one thing clear: The next internet economy will be autonomous, interoperable, and user-owned.

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✦ $10B NEAR INTENTS VOLUME ✦ In 2025, NEAR Intents became the fastest-growing infrastructure for cross-chain swaps. Now, Intents is on its way to becoming the universal venue for trading crypto and more. More chains. More assets. More liquidity. More users. More commerce.

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