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- 🔥 OpenAI Got Caught in the Crossfire
Harvard’s quantum machine doesn’t crash anymore. IBM’s new AI model beats giants using less memory. And OpenAI’s building a Zapier killer. Big shifts this week.
What are on FIRE 🔥
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AI INSIGHTS
IBM just launched Granite 4.0, a hybrid-designed, enterprise-ready, open-source LLM family that’s light enough to run on cheap GPUs… and smart enough to beat models 12× its size. Here’s what that gets you in practice:
3B Granite > 8B IBM model → yes, it beats its big brother
70% less memory needed → run it on smaller, cheaper NVIDIA cards
Linear scaling → longer input? It gets faster, not slower
ISO 42001 certified → first open model with governance baked in
And yes, it’s licensed under Apache 2.0, not some weird semi-open wrapper. Okay, so… what can you do with it?
→ Granite 4.0 is clearly built with agentic systems and enterprise use in mind. You can choose from 4 different models. They’re quantized, tuned, and optimized for real deployment.
Western companies finally have a vetted, secure alternative to Qwen and LLaMA. So actually IBM isn’t trying to out-hype OpenAI. They’re just filling the open-source vacuum left by Meta’s licensing weirdness.
Why it matters: If you’re building agent-based systems, need more control over your model stack, or just want a smaller LLM that runs fast and respects compliance boundaries, Granite 4.0 is your new starting point. It’s open-source serious.
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TODAY IN AI
AI HIGHLIGHTS
💡 Google pushed Nano Banana into full production. 10 new aspect ratios supported. But you can now get image-only outputs without inline text. See it in action here.
⚡️ Viral trend is coming, recreating scenes from movies with Pikachu as the lead. The internet can’t get enough. See Pikachu as Batman, The Godfather, and more here.
📘 A senior Google engineer just dropped a 424-page doc called Agentic Design Patterns. Every chapter covers the frontier of AI systems. Get it for free here.
🥇 OpenAI is going after Zapier & n8n. They're releasing an "Agent Builder". For the past 3 years people have been making ChatGPT wrappers. Watch its previews here.
🚨 OpenAI fired back at Elon Musk’s trade‑secret lawsuit, calling it a harassment tactic to slow its work. Here’s the full breakdown of this feud, from OpenAI filings itself.
🕶️ If you're still confused or just curious what it's actually like to use Meta’s AI Ray-Bans in real-time. Here’s a first look at the live navigation feature a user tested.
💰 AI Daily Fundraising: Inspiren raised $100M (total now $155M) to expand its AI platform for senior living, helping boost care quality & staff efficiency.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
📅 Skej is your 24/7 AI scheduling assistant that books, reschedules, and reminds via email, Slack, WhatsApp & more. Speaks 100+ languages. Try it for 10 meetings free here
✨ Plus AI creates professional PowerPoint presentations
🔗 LinkHub gets pages, sells products, appointments all in one
🎨 FotoShare turns your photos into stunning AI masterpieces
AI QUICK HITS
📡 NVIDIA launched AI Aerial tool using GPUs to boost 5G & 6G
💰 OpenAI became the world’s most valuable private company
👩💻 Google brought AI coding agent Jules into terminals, Slack,…
⚠ Altman warns AI industry is due for a spectacular implosion
🍎 Apple might be looking externally to find its new AI chief
AI BREAKTHROUGH
For years, quantum machines could barely stay on. Even the best ones tapped out at ~13 seconds before falling apart due to “atom loss”. So Harvard physicists built a system that… replaces missing atoms in real time. Like, mid-calculation. And it works:
Uses an optical lattice “conveyor belt” + optical tweezers
Actively replaces lost atoms in real time without disturbing the system
Can inject 300,000 atoms per second into the machine
Holds 3,000 qubits and can maintain quantum state even during atom refresh
That single change unlocks:
Long, complex computations that used to be impossible
Real-world quantum programs that run like apps, not fragile demos
A real path to "always-on" quantum servers
Quantum computers use qubits, which can be many things at once. Harvard’s team is already looking at scaling it further and you can bet AWS (Harvard’s partner), Microsoft, and Google are watching this very closely.
Is this their "iPhone moment"?
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The AI Fire Team
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