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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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Shay Boloor

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88,116 Aufrufe • vor 1 Monat •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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⛓️ Aethir - the decentralized #GPU powerhouse reshaping #AI & #gaming! Aethir is building the future of high-performance computing with a global #DePIN network of 400,000+ enterprise-grade GPU containers (including #NVIDIA H100s, H200s & more) spanning 90+ countries. 📍 Two flagship products: • Aethir Earth – Bare-metal GPU cloud delivering raw power for AI training, fine-tuning & inference with zero virtualization overhead. • Aethir Atmosphere – Low-latency cloud gaming rendering that streams high-quality experiences to any device. ☁️ Cloud Hosts monetize idle GPUs and earn $ATH rewards, while customers get scalable, cost-efficient compute (up to 80% cheaper than traditional clouds), ultra-low latency, and 95%+ utilization rates. No massive CapEx, no vendor lock-in – just on-demand access closer to the edge. From AI model training to real-time cloud gaming and beyond, Aethir is democratizing enterprise GPU power and powering the next generation of innovation. 🦾 Axe Compute’s $317M in customer prepayments. That single number reframes how AI data centers get built in 2026 🧵 The decentralized cloud is here. Are you ready? 🌐 #Aethir #DePIN #AI #GPUCloud #Web3
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⛓️ Aethir - the decentralized #GPU powerhouse reshaping #AI & #gaming! Aethir is building the future of high-performance computing with a global #DePIN network of 400,000+ enterprise-grade GPU containers (including #NVIDIA H100s, H200s & more) spanning 90+ countries. 📍 Two flagship products: • Aethir Earth – Bare-metal GPU cloud delivering raw power for AI training, fine-tuning & inference with zero virtualization overhead. • Aethir Atmosphere – Low-latency cloud gaming rendering that streams high-quality experiences to any device. ☁️ Cloud Hosts monetize idle GPUs and earn $ATH rewards, while customers get scalable, cost-efficient compute (up to 80% cheaper than traditional clouds), ultra-low latency, and 95%+ utilization rates. No massive CapEx, no vendor lock-in – just on-demand access closer to the edge. From AI model training to real-time cloud gaming and beyond, Aethir is democratizing enterprise GPU power and powering the next generation of innovation. 🦾 Axe Compute’s $317M in customer prepayments. That single number reframes how AI data centers get built in 2026 🧵 The decentralized cloud is here. Are you ready? 🌐 #Aethir #DePIN #AI #GPUCloud #Web3

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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
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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

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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.
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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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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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THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?
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THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?

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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

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Tonight I left my laptop turned on, and woke up in the morning with a $7,000 profit. While I was sleeping, my cloud second brain was analyzing trends and running funnels on autopilot Famous investor Naval Ravikant once brilliantly noted: AI brains are meant for coming up with ideas, not clogging bio-servers with gigabytes of other people's garbage The main point Point Claude at a local folder and feed it all the accumulated digital junk files, articles, reports, notes. The artificial intelligence absorbs this chaos itself, builds ironclad logic, and turns a pile of files into a single, living knowledge base. The system works on the principle of compound interest: the more data you feed it, the more accurately it predicts your next steps and generates ready-made solutions Step-by-step process: Choose a base, either Notion or Obsidian, as long as the cloud is accessible from any device 24/7 Implement the CODE method by saving all the chaos to your inbox, sorting it out, extracting the essence, and monetizing your knowledge Connect AI agents by setting up automation via API so the AI sorts data and generates content on its own while you rest A more detailed guide is described in the article. I highly recommend adding this to your bookmarks
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Tonight I left my laptop turned on, and woke up in the morning with a $7,000 profit. While I was sleeping, my cloud second brain was analyzing trends and running funnels on autopilot Famous investor Naval Ravikant once brilliantly noted: AI brains are meant for coming up with ideas, not clogging bio-servers with gigabytes of other people's garbage The main point Point Claude at a local folder and feed it all the accumulated digital junk files, articles, reports, notes. The artificial intelligence absorbs this chaos itself, builds ironclad logic, and turns a pile of files into a single, living knowledge base. The system works on the principle of compound interest: the more data you feed it, the more accurately it predicts your next steps and generates ready-made solutions Step-by-step process: Choose a base, either Notion or Obsidian, as long as the cloud is accessible from any device 24/7 Implement the CODE method by saving all the chaos to your inbox, sorting it out, extracting the essence, and monetizing your knowledge Connect AI agents by setting up automation via API so the AI sorts data and generates content on its own while you rest A more detailed guide is described in the article. I highly recommend adding this to your bookmarks

Bober_smart

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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.
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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.

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grokbot it's an agent with its own identity, its own computer, and it stays on when you're not here's what "active AI employee" actually looks like in the demo: - chief of staff agent - checks in on your other agents, reads your calendar, dispatches tasks to the right one automatically - shopping agent - logged into your accounts, books tickets, buys groceries, reports back - marketing agent - signed into your actual linkedin, browses your past posts for tone, then writes and publishes a new one on its own - engineering agents - self-triage bug reports, kick off cloud coding agents, come back with a pull request, a screenshot, and a video of the fix the interface isn't a dashboard, it's a chat - same shape as texting a coworker, no tool calls to babysit the number that matters more than any of the demos: grok 4.6 scored 70.8% on cursor bench at $2.81 a task, fable 5 max scored 70.5% at $17.32 same capability, 6x the cost difference - that's the unlock that makes running a fleet of these actually affordable instead of a novelty

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753,576 Aufrufe • vor 1 Monat

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 ---
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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

13,925 Aufrufe • vor 5 Monaten

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?
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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

591,647 Aufrufe • vor 2 Monaten

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
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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 Aufrufe • vor 3 Monaten

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

80,325 Aufrufe • vor 5 Monaten

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 Aufrufe • vor 2 Monaten