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Microsoft–OpenAI Deal Ends Exclusivity, Opens Door to AWS and Multi-Cloud AI
AND: DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
Danish Anwar
April 28, 2026
✨TodayOnAI’s Daily Drop
Microsoft–OpenAI Deal Ends Exclusivity, Opens Door to AWS and Multi-Cloud AI
DeepMind’s David Silver just raised $1.1B to build an AI that learns without human data
Skye’s “Agentic Homescreen” Signals a New Era for AI on iPhone
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🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |
Microsoft
🚀 TodayOnAI Insight: Microsoft and OpenAI have restructured their partnership, replacing exclusivity with flexibility—unlocking multi-cloud access while preserving deep financial and strategic ties. The move clears legal friction with Amazon and signals a more competitive AI infrastructure landscape.
🔍 Key Takeaways:
Microsoft now holds a nonexclusive license to OpenAI models and IP through 2032, ending prior exclusivity tied to AGI.
OpenAI can deploy products across any cloud, though Azure remains its “primary” partner.
The deal resolves tensions with OpenAI’s $50B AWS partnership, including hosting and agent infrastructure.
Microsoft stops paying revenue share, while OpenAI continues payments (capped) through 2030.
Microsoft retains a ~27% stake and still profits from OpenAI growth—even on rival clouds.
💡 Why This Stands Out: This marks a shift from tight vertical integration to platform-level competition. OpenAI is positioning itself as cloud-agnostic, while Microsoft hedges with equity and ecosystem leverage. The result? Enterprises gain real choice—and hyperscalers now compete head-on to host the AI future.
DeepMind
🚀 TodayOnAI Insight: Ineffable Intelligence, a new UK-based AI lab led by former DeepMind researcher David Silver, has raised $1.1B at a $5.1B valuation to pursue a bold goal: building a “superlearner” that surpasses traditional LLMs by learning without human data.
🔍 Key Takeaways:
The company is focused on reinforcement learning, aiming to create systems that learn purely through trial and error—no human datasets required.
Silver, a key figure behind AlphaZero, brings deep expertise in self-learning systems that previously mastered chess and Go from scratch.
Backed by Sequoia, Lightspeed, Google, Nvidia, and UK institutions, the round reflects strong conviction despite no clear commercialization path.
Ineffable joins a wave of “coconut round” AI startups—massively funded ventures led by elite researchers.
London continues to emerge as a serious AI hub, fueled by DeepMind’s legacy and a growing talent network.
💡 Why This Stands Out: This signals a shift beyond scaling LLMs toward fundamentally new learning paradigms. If successful, reinforcement-driven “superlearners” could reduce dependence on human-generated data entirely—reshaping how intelligence is built. The ambition is enormous, but so is the backing—raising a key question: are we entering a post-LLM era faster than expected?
Skye’s
🚀 TodayOnAI Insight: Skye, a stealth iPhone app from Signull Labs, is rethinking mobile AI with an “agentic homescreen” that replaces apps with ambient, context-aware intelligence—drawing early traction from investors and tens of thousands on its waitlist.
🔍 Key Takeaways:
Introduces an “agentic homescreen” using iOS widgets to deliver always-on, contextual AI assistance
Aggregates user-permitted data (weather, health, location, finances) to generate proactive insights and actions
Capabilities include drafting emails, meeting prep, fraud alerts, and hyperlocal recommendations
Raised $3.58M pre-seed with backing from a16z, True Ventures, SV Angel; valued around $19.5M
Built by ex-Google/Meta founder Nirav Savjani; launch planned soon for waitlist users
💡 Why This Stands Out: Skye shifts AI from a reactive tool to an embedded layer across the smartphone experience—closer to an operating system than an app. Its traction suggests users are ready for AI that anticipates needs rather than waits for prompts. If successful, this model could challenge both app-centric UX and the role of future AI-native devices.
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
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