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$IREN completes its Mirantis acquisition adding AI orchestration & managed cloud software on top of its land, power, data centers & compute. The deal brings more than 1,500 enterprise customers, deepens its $NVDA alignment & pushes IREN toward becoming a full AI cloud platform.

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87,040 views • 5 days ago •via X (Twitter)

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AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:
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AI builders rely on a cloud that moves at their pace. Today, IREN takes another step forward with the completion of our acquisition of Mirantis. By bringing together IREN’s owned and operated data centers and compute with Mirantis’ flexible, interoperable software layer, we’re giving customers greater choice and control in how they deploy and scale AI workloads. Developers and enterprises want flexibility as the AI landscape evolves. We're building an open foundation that grows with you, so you’re ready for what's next. Read more:

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Modernizing data centers takes more than power. It takes partnership. Lenovo and AMD are pushing enterprise performance forward with trusted compute built for AI, hybrid cloud, and demanding workloads, giving customers the scale and speed the digital economy requires to drive business transformation. See how the most trusted companies trust AMD: #TogetherWeAdvance
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Modernizing data centers takes more than power. It takes partnership. Lenovo and AMD are pushing enterprise performance forward with trusted compute built for AI, hybrid cloud, and demanding workloads, giving customers the scale and speed the digital economy requires to drive business transformation. See how the most trusted companies trust AMD: #TogetherWeAdvance

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Smart heating! 🫡 Beneath Finnish cities are massive underground data centers running 24 hours a day. They process emails, cloud storage, AI workloads & more, which generates an enormous amount of heat. It's captured & pumped directly into the city’s district heating network.
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Smart heating! 🫡 Beneath Finnish cities are massive underground data centers running 24 hours a day. They process emails, cloud storage, AI workloads & more, which generates an enormous amount of heat. It's captured & pumped directly into the city’s district heating network.

HOW THINGS WORK

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Join BU School of Theology (STH) & BU Computing & Data Sciences (CDS)' Wesley Wildman on reddit AMA Monday, Feb. 27 from 12-2pm ET! In this live Q&A, he will answer questions on the ethics of using AI text generators, like #ChatGPT, in education, its impact on students & how educators can manage this evolving technology.
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Join BU School of Theology (STH) & BU Computing & Data Sciences (CDS)' Wesley Wildman on reddit AMA Monday, Feb. 27 from 12-2pm ET! In this live Q&A, he will answer questions on the ethics of using AI text generators, like #ChatGPT, in education, its impact on students & how educators can manage this evolving technology.

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14,318 views • 3 years ago

🚨 $IREN CEO DROPPED A HINT Last year That 1.4 GW WILL BE WITH one of the MAG 7 👇 “Two hours ago we got an email from a TRILLION-DOLLAR HYPERSCALER… They are now INTERESTED IN OUR SWEETWATER DATA CENTER.” Let that sink in. 👀 1. SWEETWATER = 1.4 GW Energization in 3–4 months. At the moment , ZERO other data centers in the U.S. bring this much raw power online this fast. 2. CHILDRESS = Another 300–450 MW - Horizon 4-5, Still available. Still unannounced. Expect CRAZY NEWS in the weeks ahead. If a trillion-dollar hyperscaler plugs into Sweetwater, $IREN becomes a top-tier U.S. AI-compute player Soon. Now I wonder Who’s the trillion-dollar hyperscaler? 🤔 $GOOG $GOOGL $AMZN $MSFT $META $ORCL $NVDA $AMD All of them NEED multi-hundred-MW blocks right now. Only $IREN can deliver 1.4 GW on a single energization event. $cifr $wulf $nuai $nbis
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🚨 $IREN CEO DROPPED A HINT Last year That 1.4 GW WILL BE WITH one of the MAG 7 👇 “Two hours ago we got an email from a TRILLION-DOLLAR HYPERSCALER… They are now INTERESTED IN OUR SWEETWATER DATA CENTER.” Let that sink in. 👀 1. SWEETWATER = 1.4 GW Energization in 3–4 months. At the moment , ZERO other data centers in the U.S. bring this much raw power online this fast. 2. CHILDRESS = Another 300–450 MW - Horizon 4-5, Still available. Still unannounced. Expect CRAZY NEWS in the weeks ahead. If a trillion-dollar hyperscaler plugs into Sweetwater, $IREN becomes a top-tier U.S. AI-compute player Soon. Now I wonder Who’s the trillion-dollar hyperscaler? 🤔 $GOOG $GOOGL $AMZN $MSFT $META $ORCL $NVDA $AMD All of them NEED multi-hundred-MW blocks right now. Only $IREN can deliver 1.4 GW on a single energization event. $cifr $wulf $nuai $nbis

investing

166,907 views • 8 months ago

🚨 BREAKING: Starcloud just turned Starlink’s laser network into the backbone for orbital AI data centers. A company called Starcloud has ordered 50+ Starlink Mini Laser terminals to equip 25+ future satellites. Not ground stations. Not fiber cables. Direct laser-linked computing nodes in orbit plugged straight into SpaceX’s space-based optical mesh. This is the sci-fi future arriving now: Orbital cloud computing AI servers floating in space Powered by 24/7 sunlight Connected globally at light speed via Starlink lasers The insane part: Starcloud says its satellites will eventually handle full AI inference and training workloads directly in orbit. Data won’t always need to come back to Earth to be processed. The advantages are massive: • Unlimited solar energy (no grid limits) • Zero land or water constraints • Passive radiative cooling in vacuum • Instant global relay with zero terrestrial bottlenecks • Near real-time Earth observation analysis Their first major spacecraft (Starcloud-3) is designed for 200 kilowatts in orbit a full-on space-based data center node, not just a satellite. And here’s the bigger picture: SpaceX has filed plans for up to ONE MILLION orbital data centers of its own. Read that again. We may be watching the birth of the first true space-based computing infrastructure layer for civilization. The internet already left the ground. Now AI might be next. What happens when the cloud literally moves into space? Follow for more frontier physics and future technology.
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🚨 BREAKING: Starcloud just turned Starlink’s laser network into the backbone for orbital AI data centers. A company called Starcloud has ordered 50+ Starlink Mini Laser terminals to equip 25+ future satellites. Not ground stations. Not fiber cables. Direct laser-linked computing nodes in orbit plugged straight into SpaceX’s space-based optical mesh. This is the sci-fi future arriving now: Orbital cloud computing AI servers floating in space Powered by 24/7 sunlight Connected globally at light speed via Starlink lasers The insane part: Starcloud says its satellites will eventually handle full AI inference and training workloads directly in orbit. Data won’t always need to come back to Earth to be processed. The advantages are massive: • Unlimited solar energy (no grid limits) • Zero land or water constraints • Passive radiative cooling in vacuum • Instant global relay with zero terrestrial bottlenecks • Near real-time Earth observation analysis Their first major spacecraft (Starcloud-3) is designed for 200 kilowatts in orbit a full-on space-based data center node, not just a satellite. And here’s the bigger picture: SpaceX has filed plans for up to ONE MILLION orbital data centers of its own. Read that again. We may be watching the birth of the first true space-based computing infrastructure layer for civilization. The internet already left the ground. Now AI might be next. What happens when the cloud literally moves into space? Follow for more frontier physics and future technology.

TheNewPhysics

152,463 views • 2 months ago

SoftBank is reportedly in early talks to back a massive $800M funding round for Munich-based Agile Robots, with a contribution of over $ 300M. The move signals a major escalation in Masayoshi Son's "brains and bodies" strategy to dominate physical AI infrastructure. Why this matters for the robotics industry: 🤖 The Flywheel: Agile Robots isn't just hardware. Founded by German Aerospace Center (DLR) alumni, they vertically integrate AI software with humanoids, warehouse automation, and robotic arms. 🧠 Frontier Ecosystems: Agile ONE was recently named a founding member of NVIDIA’s Cosmos Coalition and is deep in a research partnership with Google DeepMind to bring Gemini to the factory floor. 💰 The Capital Race: Global investment in robotics more than tripled in 2025. SoftBank is pairing this hardware play with its recent $1.4B investment in Skild AI and its $5.4B acquisition of ABB Robotics. While both companies have declined to comment on the early-stage talks, the deal highlights a furious shift toward deploying foundational AI in physical manufacturing and logistics.
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SoftBank is reportedly in early talks to back a massive $800M funding round for Munich-based Agile Robots, with a contribution of over $ 300M. The move signals a major escalation in Masayoshi Son's "brains and bodies" strategy to dominate physical AI infrastructure. Why this matters for the robotics industry: 🤖 The Flywheel: Agile Robots isn't just hardware. Founded by German Aerospace Center (DLR) alumni, they vertically integrate AI software with humanoids, warehouse automation, and robotic arms. 🧠 Frontier Ecosystems: Agile ONE was recently named a founding member of NVIDIA’s Cosmos Coalition and is deep in a research partnership with Google DeepMind to bring Gemini to the factory floor. 💰 The Capital Race: Global investment in robotics more than tripled in 2025. SoftBank is pairing this hardware play with its recent $1.4B investment in Skild AI and its $5.4B acquisition of ABB Robotics. While both companies have declined to comment on the early-stage talks, the deal highlights a furious shift toward deploying foundational AI in physical manufacturing and logistics.

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16,714 views • 2 months ago

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📣 Solidus Ai Tech Data Center Secures 3-Year Global Compute Deal! We're proud to share a major milestone for Solidus Ai Tech — we’ve signed a 3-year agreement with a leading global company who will be utilizing compute from our datacenter infrastructure. Why is this such a big deal? This deal guarantees that our servers will be fully utilized, eliminating idle time and ensuring consistent, recurring revenue. But the real value lies in what this unlocks next. This agreement gives us more than just predictable income — it creates a solid, revenue-generating use case that proves market demand for our infrastructure. Off the back of this, we’re now in a much stronger position to open doors to top-tier funding institutions, VCs, and strategic investors. With a working business model in place, we can confidently raise capital to: • Expand our server capacity • Complete the full build-out of our datacenter • Explore land acquisition for future growth — even in new regions This isn’t just a deal — it’s a turning point. We’re now accelerating toward a much bigger vision, and this partnership marks the beginning of a powerful new phase of scale and opportunity. Message from the CEO & CCO:

AITECH CLOUD NETWORK

79,371 views • 1 year ago

China has successfully launched the world's first commercial underwater data center. China's underwater data center in Hainan Province currently the only operational commercial facility of its kind in the world, has evolved to handle high-density AI computing. Key details include: 🔹Originally deployed in 2022, the facility has been expanded with new modules specifically designed for demanding AI training and cloud services. 🔹By sitting on the seabed, the sealed capsules utilize seawater for natural cooling, eliminating the need for energy-intensive air conditioning and saving massive amounts of freshwater and land. 🔹While it solves land and energy issues, researchers warn of potential risks to marine biodiversity, including local water warming and ocean deoxygenation. 🔹A second underwater data center is currently under construction near Shanghai.
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China has successfully launched the world's first commercial underwater data center. China's underwater data center in Hainan Province currently the only operational commercial facility of its kind in the world, has evolved to handle high-density AI computing. Key details include: 🔹Originally deployed in 2022, the facility has been expanded with new modules specifically designed for demanding AI training and cloud services. 🔹By sitting on the seabed, the sealed capsules utilize seawater for natural cooling, eliminating the need for energy-intensive air conditioning and saving massive amounts of freshwater and land. 🔹While it solves land and energy issues, researchers warn of potential risks to marine biodiversity, including local water warming and ocean deoxygenation. 🔹A second underwater data center is currently under construction near Shanghai.

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18,137 views • 5 months ago

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Critical Elements Lithium: Powering the AI & Energy Revolution Lithium isn’t just fueling EVs anymore. With the rapid expansion of AI infrastructure and energy-hungry data centers, lithium demand is entering an entirely new growth phase. Critical Elements Lithium is advancing its wholly owned Rose Lithium-Tantalum Project in Québec — a high-purity spodumene concentrate project designed to supply the accelerating EV and energy storage markets… and now, the next wave of digital infrastructure. - Robust Feasibility Study completed - Key environmental & regulatory approvals secured - Positioned to move toward construction upon financing & final investment decision As global electrification expands beyond vehicles into AI and data ecosystems, Critical Elements Lithium is charged and ready to power tomorrow’s energy. Learn more: CRITICAL ELEMENTS LITHIUM CORPORATION

BTV & CEO Clips

47,579 views • 5 months ago

I’ll share a small part of Back in med school, I became obsessed with augmenting memory and dreamed of a Notion or Obsidian that completes itself. Today, we’ve built something close. My self-awareness is sharper and everything feels connected. I genuinely believe AI does not replace humans. It amplifies us. Huge respect to our engineers and designers who made this crazy thing real. Bubbles are the episodic units of my life that the system interprets from my raw data. Clouds are the system’s questions, its hypotheses about who I am. When I answer a cloud, it becomes a bubble again. There is so much personal data that I cannot fully demo it. Wish I could. This system understands me more deeply than anyone. Want to try it? Retweet and comment “memory.” I’ll DM you an access code to skip the waitlist.
0:17

I’ll share a small part of Back in med school, I became obsessed with augmenting memory and dreamed of a Notion or Obsidian that completes itself. Today, we’ve built something close. My self-awareness is sharper and everything feels connected. I genuinely believe AI does not replace humans. It amplifies us. Huge respect to our engineers and designers who made this crazy thing real. Bubbles are the episodic units of my life that the system interprets from my raw data. Clouds are the system’s questions, its hypotheses about who I am. When I answer a cloud, it becomes a bubble again. There is so much personal data that I cannot fully demo it. Wish I could. This system understands me more deeply than anyone. Want to try it? Retweet and comment “memory.” I’ll DM you an access code to skip the waitlist.

Daniel Park

658,622 views • 8 months ago

What I’m about to say about $QUBIC is INSANE!! Every cycle of hype and crisis in the world brings a new critical need. We’ve already seen it with: - DeFi (banking without banks) - Metaverse (new forms of human interaction) - RWA (tokenization of real-world assets) - Privacy (ZKP, Monero, etc.) - Stablecoins (digitized dollar) - AI (LLMs and automation) - Quantum Technology (post-classical computing) And now: Computational Energy + Decentralized AGI The next incalculable frontier is energy for data processing. Whoever turns mining power into abundant, real-use compute infrastructure will dominate the next cycle. Sovereign nations will no longer accept depending exclusively on American (or Chinese) Big Tech for critical AI, defense, and intelligence. Digital sovereignty has become a matter of national security. $QUBIC is perfectly positioned for this. Through Aigarth (its evolutionary “AI Garden”), the network runs on Useful Proof-of-Work: miners’ energy (CPU/GPU) isn’t wasted on useless hashes - it trains and evolves a decentralized AGI in real time. It’s becoming the world’s largest dedicated decentralized supercomputer. While nations seek alternatives to avoid becoming hostages to monopolies, QUBIC delivers accessible, resilient, and sovereign AGI - any country can run its own decentralized intelligence without relying on vulnerable centralized data centers. An adoption explosion is coming. QUBIC has the potential to become one of the most valuable assets on the planet by solving compute abundance + computational sovereignty. Other projects will try to follow (we already see echoes in ideas from figures like Elon Musk about open AGI). But by the time they wake up to the mathematical, structural, and philosophical problems QUBIC has been tackling for years, the network will be light-years ahead. This is not just price speculation. It’s a real-utility asset - proof of those who truly understand the future of distributed computing. Remember Palantir? At its 2020 IPO, valuation was ~$22B. Today it sits in the $340–365 billion range after exploding with AI + defense contracts. The lesson? AI applied to security and intelligence creates insane value. But there’s a serious problem: **centralized data centers are easy targets. We saw this clearly in the recent Middle East conflicts (2026): Iranian attacks on AWS, Oracle, and other data centers in the Gulf exposed the fragility of concentrated infrastructure. Anything that can be physically destroyed or cut off by sanctions/cyberattacks compromises national sovereignty. QUBIC is different: a globally distributed network powered by decentralized hashpower - extremely hard to “turn off.” An AGI resilient by design. Perfect for nations seeking true technological independence. QUBIC goes far beyond its whitepaper. It’s a civilizational thesis: abundant, sovereign, future-aligned computing. Those who understand this early aren’t just positioning financially - they’re positioning historically. #QUBIC #Aigarth #DecentralizedAI #UsefulPoW ---
0:10

What I’m about to say about $QUBIC is INSANE!! Every cycle of hype and crisis in the world brings a new critical need. We’ve already seen it with: - DeFi (banking without banks) - Metaverse (new forms of human interaction) - RWA (tokenization of real-world assets) - Privacy (ZKP, Monero, etc.) - Stablecoins (digitized dollar) - AI (LLMs and automation) - Quantum Technology (post-classical computing) And now: Computational Energy + Decentralized AGI The next incalculable frontier is energy for data processing. Whoever turns mining power into abundant, real-use compute infrastructure will dominate the next cycle. Sovereign nations will no longer accept depending exclusively on American (or Chinese) Big Tech for critical AI, defense, and intelligence. Digital sovereignty has become a matter of national security. $QUBIC is perfectly positioned for this. Through Aigarth (its evolutionary “AI Garden”), the network runs on Useful Proof-of-Work: miners’ energy (CPU/GPU) isn’t wasted on useless hashes - it trains and evolves a decentralized AGI in real time. It’s becoming the world’s largest dedicated decentralized supercomputer. While nations seek alternatives to avoid becoming hostages to monopolies, QUBIC delivers accessible, resilient, and sovereign AGI - any country can run its own decentralized intelligence without relying on vulnerable centralized data centers. An adoption explosion is coming. QUBIC has the potential to become one of the most valuable assets on the planet by solving compute abundance + computational sovereignty. Other projects will try to follow (we already see echoes in ideas from figures like Elon Musk about open AGI). But by the time they wake up to the mathematical, structural, and philosophical problems QUBIC has been tackling for years, the network will be light-years ahead. This is not just price speculation. It’s a real-utility asset - proof of those who truly understand the future of distributed computing. Remember Palantir? At its 2020 IPO, valuation was ~$22B. Today it sits in the $340–365 billion range after exploding with AI + defense contracts. The lesson? AI applied to security and intelligence creates insane value. But there’s a serious problem: **centralized data centers are easy targets. We saw this clearly in the recent Middle East conflicts (2026): Iranian attacks on AWS, Oracle, and other data centers in the Gulf exposed the fragility of concentrated infrastructure. Anything that can be physically destroyed or cut off by sanctions/cyberattacks compromises national sovereignty. QUBIC is different: a globally distributed network powered by decentralized hashpower - extremely hard to “turn off.” An AGI resilient by design. Perfect for nations seeking true technological independence. QUBIC goes far beyond its whitepaper. It’s a civilizational thesis: abundant, sovereign, future-aligned computing. Those who understand this early aren’t just positioning financially - they’re positioning historically. #QUBIC #Aigarth #DecentralizedAI #UsefulPoW ---

BCharles

13,781 views • 3 months ago

SEVEN RTX 3090S IN A WATER TANK FOR AI SERVER it is a private AI server with the power bill moved into your room. not a clean Mac mini. not a quiet box under a monitor. loose vertical GPUs sit inside a transparent tank. bubbles rise through distilled water. ALLIED CONTROL is printed on the side. it looks closer to a lab accident than a normal workstation. but the logic is obvious: seven RTX 3090s = seven 24GB cards. that is the used-market shortcut for people who want local inference without paying cloud tax on every run. put Ollama, llama.cpp, vLLM, Open WebUI, Tailscale, Qwen, DeepSeek, or Llama on top. now the box can handle client files, code agents, scraping jobs, evals, transcription, and boring overnight work. not because it beats frontier cloud models. because it changes the bill shape. no rate limit. no per-token anxiety. no sensitive client context leaving the building. no monthly stack quietly turning into rent. the ugly part is physical. seven 3090s can pull serious power, dump serious heat, and punish lazy cooling. distilled water is the weird visual, not a setup tip. real immersion rigs live or die on coolant chemistry, insulation, pumps, maintenance, and whether the room can handle the heat. local AI PCs are becoming less like gaming builds and more like small private data centers. the early question is not: can it run ChatGPT? it is: what work is repetitive, private, expensive in the cloud, and worth owning in hardware?
0:14

SEVEN RTX 3090S IN A WATER TANK FOR AI SERVER it is a private AI server with the power bill moved into your room. not a clean Mac mini. not a quiet box under a monitor. loose vertical GPUs sit inside a transparent tank. bubbles rise through distilled water. ALLIED CONTROL is printed on the side. it looks closer to a lab accident than a normal workstation. but the logic is obvious: seven RTX 3090s = seven 24GB cards. that is the used-market shortcut for people who want local inference without paying cloud tax on every run. put Ollama, llama.cpp, vLLM, Open WebUI, Tailscale, Qwen, DeepSeek, or Llama on top. now the box can handle client files, code agents, scraping jobs, evals, transcription, and boring overnight work. not because it beats frontier cloud models. because it changes the bill shape. no rate limit. no per-token anxiety. no sensitive client context leaving the building. no monthly stack quietly turning into rent. the ugly part is physical. seven 3090s can pull serious power, dump serious heat, and punish lazy cooling. distilled water is the weird visual, not a setup tip. real immersion rigs live or die on coolant chemistry, insulation, pumps, maintenance, and whether the room can handle the heat. local AI PCs are becoming less like gaming builds and more like small private data centers. the early question is not: can it run ChatGPT? it is: what work is repetitive, private, expensive in the cloud, and worth owning in hardware?

kocer

591,323 views • 25 days ago

Adding Four Decades of Intelligence, Defense, and Diplomatic Leadership Sekur Private Data (OTCQB: $SWISF | CSE: $SKUR | FRA: $GDT0) has appointed Annette L. Redmond to its Strategic Advisory Board. Redmond brings more than 40 years of leadership across the U.S. Intelligence Community, Department of Defense, and Department of State, where she oversaw intelligence operations, secure communications, cybersecurity, and information systems at the highest levels of government. Most recently, she served as Deputy Assistant Secretary for Intelligence Policy and Coordination within the U.S. Department of State's Bureau of Intelligence and Research, helping guide intelligence policy, coordination, and support for national security and foreign policy initiatives. Her appointment further strengthens the expertise supporting Sekur's expansion across government, defense, intelligence, diplomatic, and enterprise communications markets. This development builds on a series of recent milestones: • GSA procurement access • Expansion of the National Security Team • Senior defense, intelligence, and diplomatic leadership appointments • Defense-focused distribution partnerships Sekur continues to build leadership, procurement access, distribution channels, and government-market expertise around its secure communications platform. Read full article: $SWISF | $SKUR | $GDT0
0:16

Adding Four Decades of Intelligence, Defense, and Diplomatic Leadership Sekur Private Data (OTCQB: $SWISF | CSE: $SKUR | FRA: $GDT0) has appointed Annette L. Redmond to its Strategic Advisory Board. Redmond brings more than 40 years of leadership across the U.S. Intelligence Community, Department of Defense, and Department of State, where she oversaw intelligence operations, secure communications, cybersecurity, and information systems at the highest levels of government. Most recently, she served as Deputy Assistant Secretary for Intelligence Policy and Coordination within the U.S. Department of State's Bureau of Intelligence and Research, helping guide intelligence policy, coordination, and support for national security and foreign policy initiatives. Her appointment further strengthens the expertise supporting Sekur's expansion across government, defense, intelligence, diplomatic, and enterprise communications markets. This development builds on a series of recent milestones: • GSA procurement access • Expansion of the National Security Team • Senior defense, intelligence, and diplomatic leadership appointments • Defense-focused distribution partnerships Sekur continues to build leadership, procurement access, distribution channels, and government-market expertise around its secure communications platform. Read full article: $SWISF | $SKUR | $GDT0

Sekur Private

53,381 views • 1 month ago

This week’s theme was distribution: Solana rails kept reaching more users, markets, and institutions. Meta added USDC payments on Solana for creators, Korea’s largest card issuer picked Solana for stablecoin payment infrastructure, and RWA value crossed $2.5B. Accelerate USA kicks off in 2 days. Big week ahead. 📰 Headline News - Meta added support for USDC payments on Solana for creators in Colombia and Philippines - South Korea's #1 card issuer Shinhan Card signed an MOU with Solana Foundation to build stablecoin payment infrastructure - Solana hit a new ATH in its RWA ecosystem by crossing $2.5B in total value 📰 Launches - MEGA from MegaETH and CHZ from Chiliz - The Sports Blockchain went live on Solana via - Solflare - The Solana Wallet added Fast Crypto Buys, allowing instant wallet funding through Apple Pay - OKX established Agent Payments Protocol for autonomous AI commerce - MoonPay 🟣 unveiled MoonAgents Card, a virtual Mastercard for AI agents - HumidiFi debuted Aquarium, a transparent market making engine designed to deepen liquidity and tighten spreads - BAM launched its inaugural Maker Priority plugin for deterministic prop AMM execution - fomo (now @fomo) extended its trading platform to desktop with fomo web - BULK executed its largest platform upgrade, adding sub accounts, native multisig, and isolated margin - Axis initiated its closed beta, empowering users to build custom ETFs - Seeker | Solana Mobile crowned the winners of its largest hackathon yet - NODIT expanded its Datashare service to Solana to deliver enterprise grade indexing - Squads published three open source tools for Squads Protocol v4 - Ranger wrapped Build A Bear Hackathon, selecting six teams to compete for $1M vault TVL seeding - Bench opened its prediction market discovery platform to the public - Ride activated its conviction markets beta to operate as an onchain prop firm using treasury funded futarchy - Perena overhauled its portals to deliver faster performance and a cleaner UX - teamed with PreStocks to offer zero fee, 24/7 retail access to pre-IPO shares - Coinbase AM launched CUSHY, a tokenized stablecoin credit fund via Superstate - CALLSHOT deployed Callshot Football PvP sports fantasy platform - THEA brought its predictive AI inference network onchain by tokenizing it on Solana for risk markets 📰 Milestones - Collector Crypt reported $165M in monthly volume and $85M in revenue - Poll surpassed $1M in all time wagered volume - phygitals hit $200M in GMV Artwork by Tainaker🌱 🔥
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This week’s theme was distribution: Solana rails kept reaching more users, markets, and institutions. Meta added USDC payments on Solana for creators, Korea’s largest card issuer picked Solana for stablecoin payment infrastructure, and RWA value crossed $2.5B. Accelerate USA kicks off in 2 days. Big week ahead. 📰 Headline News - Meta added support for USDC payments on Solana for creators in Colombia and Philippines - South Korea's #1 card issuer Shinhan Card signed an MOU with Solana Foundation to build stablecoin payment infrastructure - Solana hit a new ATH in its RWA ecosystem by crossing $2.5B in total value 📰 Launches - MEGA from MegaETH and CHZ from Chiliz - The Sports Blockchain went live on Solana via - Solflare - The Solana Wallet added Fast Crypto Buys, allowing instant wallet funding through Apple Pay - OKX established Agent Payments Protocol for autonomous AI commerce - MoonPay 🟣 unveiled MoonAgents Card, a virtual Mastercard for AI agents - HumidiFi debuted Aquarium, a transparent market making engine designed to deepen liquidity and tighten spreads - BAM launched its inaugural Maker Priority plugin for deterministic prop AMM execution - fomo (now @fomo) extended its trading platform to desktop with fomo web - BULK executed its largest platform upgrade, adding sub accounts, native multisig, and isolated margin - Axis initiated its closed beta, empowering users to build custom ETFs - Seeker | Solana Mobile crowned the winners of its largest hackathon yet - NODIT expanded its Datashare service to Solana to deliver enterprise grade indexing - Squads published three open source tools for Squads Protocol v4 - Ranger wrapped Build A Bear Hackathon, selecting six teams to compete for $1M vault TVL seeding - Bench opened its prediction market discovery platform to the public - Ride activated its conviction markets beta to operate as an onchain prop firm using treasury funded futarchy - Perena overhauled its portals to deliver faster performance and a cleaner UX - teamed with PreStocks to offer zero fee, 24/7 retail access to pre-IPO shares - Coinbase AM launched CUSHY, a tokenized stablecoin credit fund via Superstate - CALLSHOT deployed Callshot Football PvP sports fantasy platform - THEA brought its predictive AI inference network onchain by tokenizing it on Solana for risk markets 📰 Milestones - Collector Crypt reported $165M in monthly volume and $85M in revenue - Poll surpassed $1M in all time wagered volume - phygitals hit $200M in GMV Artwork by Tainaker🌱 🔥

Solana

79,765 views • 3 months ago

Paramount May Leave California If Merger Is Blocked Paramount has agreed to delay its planned acquisition of Warner Bros. Discovery until as late as June 2027 while an antitrust lawsuit moves through the courts. California Attorney General Rob Bonta is leading the effort to block the roughly $111 billion deal. He said: “The unlawful merger of these two entertainment behemoths would lead to higher prices, lower quality, and less content for film and television, harming movie theaters, basic cable distributors, and ultimately, audiences on every sofa and movie theater seat in the U.S.” (Video: AI) Reports indicate Paramount advisers have urged the company to consider shifting its headquarters and production spending out of California if the state succeeds in stopping the deal. These kinds of aggressive regulatory pushes are exactly what’s been driving companies out of the Golden State and into places like Florida and Texas for years. Blocking this merger could cost California more than just a corporate combination — it risks losing another major player, along with massive amounts of tax revenue and jobs.
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Paramount May Leave California If Merger Is Blocked Paramount has agreed to delay its planned acquisition of Warner Bros. Discovery until as late as June 2027 while an antitrust lawsuit moves through the courts. California Attorney General Rob Bonta is leading the effort to block the roughly $111 billion deal. He said: “The unlawful merger of these two entertainment behemoths would lead to higher prices, lower quality, and less content for film and television, harming movie theaters, basic cable distributors, and ultimately, audiences on every sofa and movie theater seat in the U.S.” (Video: AI) Reports indicate Paramount advisers have urged the company to consider shifting its headquarters and production spending out of California if the state succeeds in stopping the deal. These kinds of aggressive regulatory pushes are exactly what’s been driving companies out of the Golden State and into places like Florida and Texas for years. Blocking this merger could cost California more than just a corporate combination — it risks losing another major player, along with massive amounts of tax revenue and jobs.

Paul A. Szypula 🇺🇸

11,900 views • 15 days ago

🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

16,062 views • 2 months ago

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.
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I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

280,572 views • 2 months ago

The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷
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The global industry standard oracle platform, Chainlink, is now live on the Injective Mainnet. Time to market for dApp developers is critical and now with Injective’s EVM deployment, the iBuild AI dApp creator, onchain financial modules, and Chainlink data streams - developers on Injective can experience one of the fastest time to market anywhere in the industry. Chainlink brings real time Data Streams with sub-second latency to the only blockchain purpose-built for finance. This now gives Injective developers full access to Chainlink’s battle-tested data stream markets across the Injective ecosystem. Helix 🧬 will be the first Injective dApp to integrate Chainlink Data Streams set to power its crypto and RWA markets. Benefits for using Chainlink Data Streams on Injective: ✅ Low latency market data: up to sub-second delivery ✅ Institutional reliability: collaborating with institutional data giants like ICE and FTSE Russell, An LSEG Business ✅ Programmability: custom tailor formats, cadence, and fields to match a dApps exact needs. Injective markets now powered by Chainlink Data Streams. Ninjas are just getting started. 🥷

Injective 🥷

116,813 views • 8 months ago

AI listens to everyone. Except for 5.5 billion people. We’re launching BRIDGE (Benchmark of Regional & International Data for Global Evaluation), the first independent Global South ASR benchmark. 22 regional languages across 15 models evaluated on a first-of-its-kind 7-metric stack. Read the full benchmark here: Most ASR benchmarks report one WER per model per language. That number hides more than it reveals. Dialect variation, code-switching fidelity, speaker overlap and script-mismatch all sit underneath it. BRIDGE surfaces them. Here’s how 🧵
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AI listens to everyone. Except for 5.5 billion people. We’re launching BRIDGE (Benchmark of Regional & International Data for Global Evaluation), the first independent Global South ASR benchmark. 22 regional languages across 15 models evaluated on a first-of-its-kind 7-metric stack. Read the full benchmark here: Most ASR benchmarks report one WER per model per language. That number hides more than it reveals. Dialect variation, code-switching fidelity, speaker overlap and script-mismatch all sit underneath it. BRIDGE surfaces them. Here’s how 🧵

Humyn Labs

31,387 views • 3 months ago