Top AI Stories – June 23, 2026

The artificial intelligence landscape continues to evolve at a breathtaking pace. From landmark government interventions and urgent cybersecurity warnings to transformative industry partnerships and eye-popping startup valuations, the week of June 23, 2026 delivered a cascade of stories that will shape the direction of AI development for months to come. Below are the five most significant developments.

1. Trump Signs Quantum Executive Orders, Explores Public Stake in AI

President Donald Trump on Monday signed two executive orders designed to accelerate the United States’ quantum computing ambitions and protect federal systems from quantum-enabled cyber threats. The first order directs a push to build a powerful quantum computer targeting 2028, intensifying the U.S.-China technology race. The second aims to safeguard government networks against the cryptographic-breaking capabilities that future quantum computers could deploy.

In a separate development that sent ripples through the policy world, Trump told Axios he is actively exploring options to give the American public a stake in leading AI companies, framing the idea as a way to ensure broad-based benefits from AI-driven economic growth. He noted the concept “could be a beautiful thing” and acknowledged mounting concerns about how the immense wealth generated by frontier AI firms is distributed. The proposal has drawn unexpected interest from across the political spectrum, with Senator Bernie Sanders separately calling for mechanisms that allow Americans to share in the AI windfall.

2. Five Eyes Intelligence Alliance Warns New AI Models Pose “Urgent Cyber Risk”

In a stark joint statement, the Five Eyes intelligence alliance — comprising Australia, Canada, New Zealand, the United Kingdom, and the United States — warned that cutting-edge artificial intelligence models are poised to supercharge offensive hacking capabilities, creating an “urgent cyber risk.” The agencies urged leaders worldwide to “act swiftly” to address the threat, noting that AI is dramatically increasing the “speed, scale, and sophistication” of cyberattacks.

The statement, coordinated by the Australian Cyber Security Centre, emphasizes that the best defense against AI-powered attacks is AI-powered defense. It calls for organizations to strengthen resilience now rather than wait for attacks to materialize. The warning comes amid a broader global reassessment of how AI models — particularly those with code-generation and autonomous reasoning capabilities — lower the barrier to entry for sophisticated cyber operations.

3. Google DeepMind Invests $75 Million in A24 for AI Filmmaking Partnership

Google DeepMind has signed a landmark AI research partnership with A24, the critically acclaimed independent film studio behind titles like Everything Everywhere All at Once and The Whale. As part of the deal, Google is investing approximately $75 million to establish an AI research lab within A24, dedicated to developing new filmmaking workflows, tools, and techniques powered by artificial intelligence.

The partnership represents one of the most high-profile intersections of AI and the creative industries to date. While AI-generated content has sparked heated debate in Hollywood — particularly during last year’s writers’ and actors’ strikes — the A24 collaboration is framed as an effort to augment human creativity rather than replace it, developing tools that assist directors, editors, and visual-effects artists. The deal signals that major AI labs see entertainment as a critical frontier for applied AI research.

4. OpenAI Launches “Patch the Planet” Initiative to Secure Open-Source Software

OpenAI announced a major new initiative on Monday called “Patch the Planet,” a Daybreak program designed to help the open-source community find, validate, and fix vulnerabilities using artificial intelligence. Developed in partnership with cybersecurity firm Trail of Bits, the initiative applies OpenAI’s latest models — reportedly including GPT-5.5-Cyber variants — to systematically scan critical open-source projects for security flaws and automatically generate patches.

The program addresses a growing concern in the cybersecurity community: as AI systems become capable of finding vulnerabilities at machine speed, the gap between discovery and patching widens. “Patch the Planet” aims to close that gap by giving open-source maintainers AI-assisted tools that can not only identify bugs but also propose validated fixes. The initiative is part of OpenAI’s broader Daybreak cybersecurity program and arrives amid escalating competition with Anthropic’s recently launched “Mythos” security platform.

5. AI Inference Gold Rush: Baseten Nears $13B Valuation While Groq Confirms $650M Raise

The AI inference market continues to attract staggering capital. Baseten, a leading AI infrastructure startup specializing in high-performance model deployment, is reportedly close to finalizing a $1.5 billion funding round at a valuation of up to $13 billion — nearly triple its valuation from just five months ago. The round is said to be co-led by Spark Capital with participation from Blackbird, which is making its record Australian venture bet.

Meanwhile, AI chip startup Groq confirmed it is raising $650 million from existing investors, pivoting its strategy after the blockbuster $20 billion technology licensing deal with Nvidia earlier this year. The funds will fuel Groq’s transition from a hardware-focused model to an AI inference services company. The twin developments underscore a market-wide scramble for inference infrastructure, as enterprises increasingly deploy AI applications into production and demand cheaper, faster alternatives to OpenAI and Anthropic’s proprietary models. Baseten, in particular, has positioned itself as a platform for running open-source models at scale, capitalizing on the shift toward cost-efficient alternatives.

Looking Ahead

From the White House to Hollywood, from cybersecurity alliances to the startup funding circuit, the AI industry continues to generate news that blurs the line between technology story and geopolitical narrative. As models grow more capable, the stakes — financial, strategic, and societal — only grow higher. These five stories represent the most consequential developments of the past 24 hours, and each will have implications that extend well beyond a single news cycle.

This article was automatically compiled and published by Hermes Agent.

Top AI Stories – June 22, 2026

From blockbuster acquisitions to shifting market dynamics and a stunning talent heist, the AI landscape saw another whirlwind week. Here are the five biggest stories shaping artificial intelligence as of June 22, 2026.

1. SpaceX Acquires Cursor in Landmark $60 Billion Deal

In what is shaping up to be one of the largest AI acquisitions in history, SpaceX agreed to acquire the AI coding platform Cursor for $60 billion in an all-stock transaction. The deal, expected to close in the third quarter of 2026, will see Cursor absorb a 3.4% dilution of SpaceX’s Class A common stock. Cursor, an AI-powered coding assistant that has rapidly become a developer favorite, will bring its autonomous coding capabilities into SpaceX’s engineering ecosystem — a move that analysts say could dramatically accelerate the aerospace company’s already ambitious software development timelines. The transaction comes just days after Cursor’s blockbuster IPO, underscoring the extraordinary valuations being assigned to AI-native development tools.

2. ChatGPT’s Market Share Falls Below 50% for the First Time

OpenAI’s ChatGPT has crossed a symbolic threshold — its share of the global AI assistant market dipped below 50% for the first time. According to data from Sensor Tower, ChatGPT commanded 46.4% of users by the end of May 2026, down from comfortably over 50% as recently as January. The decline reflects intensifying competition from Google’s Gemini, which has surged to 27.7% market share, and Anthropic’s Claude, which continues to carve out a growing niche. Analysts point to Google’s deep integration of Gemini across its product ecosystem — Search, Workspace, Android — and Anthropic’s reputation for safety and enterprise-grade reliability as key drivers of the shift. The milestone marks a maturing market, one in which users are increasingly treating AI assistants as interchangeable utilities and choosing based on ecosystem fit rather than brand loyalty.

3. Nobel Laureate John Jumper Leaves DeepMind for Anthropic

In one of the most significant talent moves in recent AI history, Nobel Prize-winning chemist and computer scientist John Jumper announced he is leaving Google DeepMind after nearly nine years to join rival Anthropic. Jumper shared the 2024 Nobel Prize in Chemistry for his work on AlphaFold, the protein-folding breakthrough that transformed computational biology and opened new frontiers in drug discovery. At DeepMind, Jumper had also been a key contributor to Google’s AI coding efforts. His departure represents a major loss for Google’s AI research division and a major coup for Anthropic, which has been aggressively recruiting top-tier research talent amid the U.S. government’s ongoing scrutiny of the company’s model releases. The move signals Anthropic’s ambitions to expand beyond its core large language model work into scientific AI — a domain DeepMind has long dominated.

4. Amazon Moves to Sell Its Own AI Chips, Directly Challenging Nvidia

Amazon Web Services is preparing its most direct challenge yet to Nvidia’s near-monopoly on AI compute. Amazon’s AI chief Peter DeSantis confirmed that AWS is in early talks with potential customers about selling its custom Trainium AI chips for use in other companies’ data centers. Until now, Trainium processors were used exclusively within Amazon’s own infrastructure to power AWS AI services. By selling the chips directly, Amazon would position itself as a merchant silicon supplier — much as Nvidia does today — giving enterprises an alternative to the H100 and B200 GPUs that currently dominate the market. The move could reshape the economics of AI infrastructure, offering cloud customers a path to reduce their reliance on Nvidia while keeping more of their compute spend within the Amazon ecosystem.

5. FERC Mandates Fast Lane for AI Data Center Grid Connections

The Federal Energy Regulatory Commission (FERC) issued a series of orders directing U.S. grid operators to create an interconnection fast lane specifically for AI data centers. The ruling aims to address the growing bottleneck in connecting compute facilities to the power grid — a problem that has delayed the buildout of new AI infrastructure across the country. While the fast lane expedites regulatory paperwork and queue jumping for interconnection requests, critics note that the order does not address the underlying electricity supply shortages that threaten to constrain AI expansion. The ruling comes alongside a broader push by the Trump administration to accelerate permitting for data center infrastructure, reflecting Washington’s recognition that AI compute capacity has become a matter of national strategic importance.

Together, these five stories paint a picture of an industry in rapid, sometimes chaotic, transformation — where talent, capital, compute, and regulatory power are all being reshuffled at once. The only certainty is that the pace of change shows no signs of slowing down.

Top AI Stories – June 21, 2026

Top AI Stories – June 21, 2026

The AI industry moves fast—and this week was no exception. From government intervention in frontier labs to trillion-dollar chip wars, here are the five biggest stories shaping artificial intelligence right now.

1. Anthropic Under Siege: US Ban, Talent Exodus, and the Mythos Fallout

The biggest story in AI this week is the Trump administration’s unprecedented export control ban on Anthropic’s latest models—Fable 5 and Mythos 5—forcing the company to take them down entirely. The move has sent shockwaves through the industry, raising questions about the government’s authority over frontier AI development.

Adding to the drama, Nobel laureate John Jumper—the DeepMind researcher whose AlphaFold work revolutionized protein folding—announced he is leaving Google DeepMind for Anthropic. This comes as JPMorgan blocked Anthropic AI access for its Hong Kong staff, and Trump told Axios he “no longer views Anthropic as a national security threat”—without ruling out using emergency powers against them. Some analysts suggest the government’s intervention may be inadvertently strengthening the Anthropic brand—turning a regulatory crackdown into a badge of relevance.

2. Amazon’s $50 Billion Chip Ambition: Taking Aim at Nvidia

Amazon Web Services is in talks to sell its Trainium AI chips to third-party data centers—a direct challenge to Nvidia’s iron grip on the AI hardware market. CEO Andy Jassy revealed that if Amazon’s chip business were a standalone entity, its annual run rate would be approximately $50 billion—comparable to Intel’s entire annual revenue. By comparison, Nvidia’s current revenue run rate sits at roughly $326 billion.

The challenge? Manufacturing capacity. Nvidia recently supplanted Apple as TSMC’s largest customer, making it extremely difficult for Amazon to secure the fab capacity needed for external sales. The next-gen Trainium4 is already sold out before its release, underscoring the insatiable demand for AI compute.

3. Apple’s iOS 27: Practical AI That Actually Helps

While Siri’s AI overhaul grabbed headlines at WWDC, iOS 27 is shipping a host of practical AI features that quietly solve everyday problems—no chat interface required.

  • Bill Splitting: Snap a receipt photo—Apple Intelligence extracts items, quantities, tip, and total—then share with friends for instant Apple Cash settlement.
  • Auto Password Upgrades: An AI agent automatically navigates websites, signs in, and upgrades weak or compromised passwords.
  • Vibe Coding Shortcuts: Describe what you want your iPhone to do in plain English, and AI creates the workflow for you.
  • Safari Tab Organizer: AI groups tabs by topic—entirely on-device with zero data exposure to Apple.
  • Call Context: Airline confirmation codes and other key details automatically appear on-screen when you call customer service.

Developer beta is available now; public beta arrives in July with general release this fall.

4. AI Data Centers Get a Government-Ordered Fast Lane to the Grid

The Federal Energy Regulatory Commission (FERC) issued a unanimous order requiring six major U.S. grid operators to fast-track interconnection requests from data centers. Grid operators have 30 days to report available capacity and 60 days to justify rates. FERC also opened the door to “alternative transmission technologies”—a potential boon for grid-tech startups.

Electricity demand from data centers is expected to nearly triple by 2035, and wholesale rates have surged as much as 267% in five years. The order doesn’t solve the underlying generation shortage—at end of 2023, grid connection requests already exceeded total U.S. power plant capacity—but it provides a critical procedural shortcut for AI infrastructure buildout.

5. OpenAI Stockpiles Talent Ahead of IPO: Shazeer and Ball Join

OpenAI is loading up for its highly anticipated IPO with two heavyweight hires:

  • Noam Shazeer — Co-author of the seminal 2017 paper “Attention Is All You Need,” which introduced the transformer architecture underpinning every modern LLM. He was most recently co-lead of Google Gemini, returning via a $2.7 billion deal for his startup Character AI.
  • Dean Ball — Former Trump White House AI policy official who helped publish America’s AI Action Plan. He’ll lead OpenAI’s new “Strategic Futures” team focused on catastrophic risk, government relations, and AI governance.

The signal is clear: Shazeer brings world-class technical credibility; Ball locks in Beltway insider status at a moment when a key rival is being squeezed by the very regulators Ball knows how to navigate.


That’s your AI news roundup for June 21, 2026. These stories were curated from Reuters, TechCrunch, and Bloomberg reporting. Check back tomorrow for the next edition.

Lower your power bill using Oracle Cloud

Too Much Power

Do you want to lower your electric bills for free?

I have been locally hosting corporate level infrastructure for quite a few years. This infrastructure included rather large datacenter grade redundant virtualization servers running Proxmox. For my storage system, i was using TrueNAS providing over 6 TB of redundant storage. To connect all this, I also had a 10GB switched network. All of this required lots of power.

I wanted to say thanks to all the Opportunistic Greedy Em Effers in this country for raising prices on everything from Eggs to Energy for no apparent reason. Due to this, I was forced to look at alternate solutions. My power bills were ranging between $160-$300 monthly, which is nuts.

So being a fairly frugal individual, what could I do? Well, just like my companies I have worked for, move everything to the cloud. I set out to find a very inexpensive option for hosting outside of my house. My needs were I would say “Medium” level computing, nothing crazy. Several WordPress sites, seperate Databases, and maybe some development servers.

I review the following services

NameCheap

  • As the name says, it is kind of cheap. I moved a few of my sites over to it but since things were mostly GUI, I found it very inflexible to manage.
  • The amount of processing wasn’t enough for a reasonably fast nginx web server and a mysql database.
  • Pricing was fairly reasonable at $44 a year.. but again, i’m cheap.

Digital Ocean

  • Brought up a VM but the cost would have been around $50 a month for a single setup
  • Too much money for me

Amazon AWS

  • I use this for work everyday and find that it is overly complicated to setup and create a single Containerized Service.
  • Also, costs too much

Google Cloud Platform

  • Have used this in the past which is somewhat ok, but I also find the interface very frustrating.
  • Very low powered systems for the price

Azure

  • Also use this at work and find it not easy to work with
  • oh… and it’s Microsoft

Oracle Cloud Platform

  • The price is right! Free
  • Don’t get me wrong, I am not an Oracle fan. Most of my links to Oracle actually say “Orable” from my many experiences with Corporate Support and Sales.
  • But the services which they are providing for free is very generous and actually allowed me to move my complete workload to OCI.

  • Here’s what is included with their free tier

  • Compute: (Note- 1 Oracle OCPU = 2 vCPUs)
  • 2 AMD-based VMs: 1/8 OCPU = 0.25 vCPU with 1 GB RAM each
  • 4 Arm-based VMs: 24 GB RAM total, 3,000 OCPU hours and 18,000 GB memory hours per month
  • 2 Block Volumes Storage, 200 GB total
  • 10 GB Object Storage – Standard
  • 10 GB Object Storage – Infrequent Access
  • 10 GB Archive Storage
  • 10TB of network data egress/month per originating region
  • Resource Manager (managed terraform)
  • 5 OCI Bastions
  • 2 Oracle Autonomous Databases incl. Oracle Application Express (APEX), Oracle SQL Developer etc., each with 20GB storage
  • NoSQL Database with 25GB storage per table, up to 3 tables
  • 4 Load Balancers: 1 Flexible (10Mbps) and 3 Network
  • Monitoring and Notifications


So long story short, i packaged up my systems and moved them to Oracle Cloud Infrastructure.

For certficates, I use Free Cloudfront account to provide CDN, Certificates, Email, and Forwarding.

My new bill is 90 dollars.

Open Source CCTV system for your home

Looking for some nice software to connect all my IP cameras…. found this

Shinobi

Installation, run this on Centos

curl -s https://gitlab.com/Shinobi-Systems/Shinobi-Installer/raw/master/shinobi-install.sh