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- 💰 OpenAI Saved $97 Billion by 2030
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OpenAI just pulled off a masterclass in financial engineering, capping its revenue-sharing with Microsoft at $38B and effectively ‘saving’ $97 billion in future cash.
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AI INSIGHTS
OpenAI has successfully negotiated a $38 billion cap on its revenue-sharing payments. By putting a ceiling on what they owe their primary backer, OpenAI just effectively "saved" $97 billion in future cash flow. Here’s the deal:
No matter how much revenue ChatGPT generates (and it's currently on a tear), Microsoft’s cut is now capped at $38 billion total through 2030.
Azure remains the primary partner, but for the first time, OpenAI is now explicitly allowed to serve its products through other cloud providers.
Microsoft’s license to OpenAI’s models is now non-exclusive. This means OpenAI can sell its tech to other giants (Apple or even sovereign nations)
Microsoft will no longer pay a revenue share to OpenAI for using its tech. Instead, they’ll participate purely as a major shareholder.
OpenAI is actually positioning themselves as a sovereign entity. They can now spend on their own infrastructure, like the $18 billion "Project Nexus" chip deal we talked about earlier.
Microsoft, for its part, is likely okay with this because their profit on OpenAI is already over $122 billion. They’ve already won. Now, they’re just trying to keep the partnership flexible enough to avoid a total antitrust breakup from regulators.
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AI SOURCES FROM AI FIRE
1. Copy the Exact Way Claude Code’s Creator Starts Every Project (Anyone Can Use It). This guide reveals the framework to master Plan Mode, minimal CLAUDE.md architecture, and self-verifying loops.
2. How to Reach $20K/Month Selling Fastest-Growing AI Retainers with Claude Code! AI agencies can now deliver automations cheaper, faster, and at scale, with just a few clients making $20K/month. Start small first guys!
3. Video: Claude’s New Financial Agents | 5 Plugins That 10x Your Risk Analysis. We take finance meeting notes, monthly data, invoice records, market context, then use Claude to turn everything into a review-ready risk memo.
GPT-5.5’S UPDATE PROMPTING GUIDE
I bet many of you here don’t know that when OpenAI released GPT 5.5, they also updated their official prompting guide. The old mega prompt style, where you write a long list of steps for the AI to follow, doesn’t get the best results anymore.
This is also happening with Opus 4.7 & Gemini 3.1 Pro. These top models already know how to reach good results on their own. When you force them through 15 small steps, you actually block part of their ability.
So what replaces mega prompts? A simple framework called the 4D Method. Instead of controlling every step, you give these models only 4 things:
In this guide, we’ll walk through each part together so you can start using it right away on your own tasks. You can copy the final template at the end as well!
TODAY IN AI
AI HIGHLIGHTS
🍝 You remember that legendary 'Will Smith Eating Spaghetti' AI challenge? Unlike the cursed old version, this 2026 remake looks… shockingly real, cinematic. See this.
🎧 Visit Anthropic’s new 24/7 lofi YouTube channel. It streams nonstop with music designed for thinking, building, and long AI sessions. It's like “study with Claude”.
💻 OpenRouter just launched Pareto Code, a free routing layer that automatically picks the cheapest AI model while still meeting your chosen quality level. Try it here.
🚨 OpenAI, Anthropic, and GitHub didn’t raise prices directly. Instead, all three just quietly adjusted their billing rules. Your actual usage cost may already be higher.
⚠️ Read this at least once: Hackers don’t even need to trick YOU anymore, they can trick your AI assistant (ChatGPT, Claude, or Cursor) using “AI Tool Poisoning” instead.
🤯 A new impressive Gemini ‘Omni’ just leaked ahead of Google I/O, another insanely realistic clips (video here). FYI, 'Omni' seems to be Google’s next-gen video model.
💼 OpenAI launched the “OpenAI Deployment Company” to send AI specialists directly into enterprises and transform operations from the inside, backed by $4B!
💰 Big AI Fundraising: Google DeepMind’s Isomorphic Labs is raising $2B+ in new funding. Alphabet may join the round again as AI-powered biotech investment keeps accelerating fast.
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AI BREAKTHROUGH
Google DeepMind just built an AI co-mathematician based on Gemini 3.1, and it’s already helping solve research-level math problems that humans struggled with for years. What’s wild is how agentic this system is.
Instead of one AI doing everything, it works more like a research team:
→ one agent breaks the problem apart
→ other agents search papers, write code, test proofs, and review each other’s work
→ then the best ideas get surfaced back to the mathematician
And it’s not just theory. An Oxford mathematician reportedly solved an open problem after noticing a “really, really clever proof strategy” hidden inside one of the AI’s rejected outputs. The benchmark jump is also huge:
Gemini 3.1 Pro alone scored 19%
This new agentic math system reached 48%
Honestly, this feels very similar to what happened with coding. The biggest leap was giving AI systems workflows, tools, memory, parallel agents, and review loops. I don’t think AI replaces mathematicians here.
But if top researchers suddenly get AI teammates that can test thousands of proof directions in parallel… the speed of scientific discovery may change very fast.
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The AI Fire Team
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