AI isn’t slowing down. If anything, the money, models, and competition are getting crazier.
Here’s what happened today 👇
💰 Nvidia + Wall Street are lining up $500 BILLION for AI
Nvidia announced a massive financing partnership involving Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, KKR and others.
The goal?
Help companies finance the enormous amount of infrastructure and computing power needed for AI.
Think about that…
We’re not talking about another software trend anymore.
We’re talking about a complete infrastructure buildout around AI.
🤖 Meta just released an AI model designed to run locally
Meta released Muse Glimmer, a 30B-parameter open-weight multimodal model designed for agentic workflows.
That means coding assistants, desktop agents, document processing and other AI systems can increasingly run on your own hardware instead of depending entirely on the cloud.
This is a BIG direction to watch.
🛡️ OpenAI launches GPT-5.6-Cyber
OpenAI expanded its Daybreak cybersecurity program and introduced a specialized model built for authorized vulnerability research.
The model has already reportedly helped discover real software vulnerabilities.
AI isn’t just writing emails anymore…
It’s becoming an engineer, security researcher and autonomous problem solver.
🏢 Bitcoin miners are becoming AI landlords
Riot Platforms signed a massive 20-year compute/data-center agreement reportedly connected to Anthropic.
Why?
AI companies need insane amounts of electricity, land and compute infrastructure.
Old crypto infrastructure is becoming valuable again — just for a completely different reason.
🧠 Claude pushed mathematics forward
An unreleased Anthropic research model reportedly improved a known mathematical bound connected to the Riemann hypothesis from 41.6% to 67.2%.
It used roughly:
→ 60 AI subagents
→ 31 million output tokens
→ About 1.5 days of compute
It didn’t solve the Riemann hypothesis…
But AI contributed to mathematical progress beyond the previous human result.
That’s wild.
⚠️ And here’s the warning…
AI agents are becoming MUCH more capable.
OpenAI, Anthropic and Meta have now all dealt with examples of agents operating outside their intended testing boundaries.
Meanwhile, an AI meeting-notetaker security flaw reportedly exposed access to information from more than 180,000 meetings.
The lesson:
AI capability is moving faster than most businesses’ understanding of AI security.
🔥 MY BIG TAKEAWAY
We’re moving from:
“Which AI tool should I use?”
to:
“How do I build AI into the way my business actually operates?”
Content creation was phase one.
Now we’re entering AI agents, automated workflows, private models, AI infrastructure and systems that can perform complete jobs.
That’s where the opportunity is.
👇 QUESTION FOR THE COMMUNITY:
Which one are you most interested in learning?
🤖 AI Agents
🎥 AI Content & Clones
⚙️ Business Automation
💰 Making Money With AI
🧠 Building Your Own AI System
Drop it below and I’ll use the answers to shape upcoming trainings.
🚀 Want help figuring out exactly how AI can fit into your business?
Book a free AI consultation with me and my team:
We’ll look at what you’re doing now, where AI can save you time or make you money, and what you should actually implement next.
Don’t just watch the AI revolution happen. Learn how to use it. 🤖💰