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- 🍭 Apple Outsources Intelligence 🍎
🍭 Apple Outsources Intelligence 🍎
Siri Lost the Plot

Good morning. Today’s theme is “outsourcing intelligence,” which coincidentally is how most group projects already work.
Let’s dive in 👇
🍭 What’s Cookin’:
Apple quietly borrows a new brain for Siri
Nvidia starts moving from chip supplier to science infrastructure
Why hardware bottlenecks are cooling the “AI PC” hype
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Apple
🍎 Quietly Admits Siri Fell Behind
The Bite:
Apple is upgrading Siri by plugging it into Google’s Gemini models.
That’s not a flashy partnership announcement. It’s a concession.
Apple still builds the best consumer hardware on Earth, but when it comes to large language models, it’s choosing pragmatism over pride.
While accepting defeat in the AI model race, Apple is borrowing a brain to keep Siri relevant.
Snacks:
Apple plans to integrate Gemini to handle more complex Siri requests
The move mirrors Apple’s earlier deal using OpenAI models for some AI features
Siri has lagged behind ChatGPT and Gemini in reasoning and flexibility
Apple will keep control of the interface, privacy framing, and user experience
The intelligence layer, however, increasingly comes from outside Cupertino
Why it Bites:
Apple spent years selling the idea that tight hardware-software control was its superpower.
Now, for AI, that control stops at the surface.
The future is Siri getting smarter because Apple knew when to outsource the thinking.
This is Apple admitting that model supremacy belongs to a few specialists.
And it isn’t one of them.


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Nvidia
🧬 Is Becoming the Backbone of Drug Discovery
The Bite:
Nvidia and Eli Lilly are investing up to $1 billion into a new AI-first research lab.
This is a purpose-built machine designed to compress years of drug discovery into months with AI, robotics, and massive computing power.
The subtext is clear:
Nvidia isn’t just supporting science anymore.
It’s becoming part of how science gets done.
Snacks:
The lab will focus on early-stage drug discovery, where timelines are longest and costs are highest
Nvidia provides the compute, AI frameworks, and infrastructure backbone
Eli Lilly brings biological data, research expertise, and clinical pathways
The lab blends AI models, simulations, and automated experimentation
Why it bites:
For years, Nvidia sold chips to researchers.
Now it’s helping design the research process itself.
This marks a structural shift in pharma R&D:
Discovery starts looking less like slow lab work and more like an industrialized pipeline powered by compute.
If this model works, Nvidia won’t just be a supplier, but a part of the foundation.
And once infrastructure becomes essential, it’s very hard to replace.


Everything Else
🧠 You Need to Know
💾 RAM Shortages Are Cooling the AI PC Hype
→ RAM prices surged 40–70%, pushing PC makers to raise prices or lower specs, weakening already-soft demand for AI-branded PCs.
🧬 Nvidia and Eli Lilly Invest $1B in AI Drug Discovery
→ The two companies are funding a new AI-focused research lab aimed at accelerating drug development and cutting R&D timelines.

🏥 FDA and EMA Set Shared Rules for AI in Medicine
→ U.S. and EU regulators agreed on common principles to govern safe, ethical AI use across the drug development lifecycle.
🍎 Apple Will Use Google Gemini to Upgrade Siri
→ Apple plans to integrate Google’s Gemini models into Siri, signaling deeper reliance on external AI partners.

🎬 Google Names Winner of Its Global AI Film Award
→ A Tunisian filmmaker won Google’s global competition highlighting creative storytelling made with AI tools.

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— Eder
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