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- 🌐 Google’s AI OS Layer
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Elon’s latest AI promises answers grounded in physics — but can it really be trusted? Meanwhile, new AI tools are pushing limits we didn’t expect, from exploring millions of research papers to outsmarting top models.
What are on FIRE 🔥
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AI INSIGHTS
At this year’s Google I/O, one headline grabbed everyone’s attention: Google now charges $249.99/month for an AI experience. But what do you get for that price? Here’s everything you need to know from the event.
🔥 Gemini Ultra ($249.99/month, U.S. only): This is Google’s most premium AI subscription yet, unlocking its full creative and reasoning power. You’ll get:
Veo 3: A next-gen video generation model that adds ambient sounds, dialogue, and noise automatically to your videos.
Flow: A brand-new AI video editing tool, aiming to change how creators make content.
Gemini 2.5 Pro with Deep Think Mode (coming soon): This lets Gemini explore multiple possible answers before responding.
Massive 30TB cloud storage, YouTube Premium, and access to other advanced tools.
Gemini Live: Near real-time voice conversation with Gemini. Can share what your phone sees via camera or screen.
Deep Research: Upload your own PDFs or images and let Gemini analyze + create summaries or reports.
Imagen 4: 10x faster than Imagen 3. Multiple visual styles, up to 2K resolution.
🌟 AI in Every Google Experience
Project Astra: Real-Time, Multimodal Assistant → A fast-reacting AI that understands both images and voice.
AI Mode in Google Search (U.S. only) → Ask complex, layered questions and get structured, summarized answers.
Gemini in Chrome → Summarizes pages, finds answers, and helps you browse more efficiently.
Stitch → Turn simple text or image prompts into UI designs.
Project Mariner: AI Agent That Browses For You → Can buy movie tickets, order groceries, or plan trips — all without you lifting a finger.
Why It Matters: Google is quietly assembling an AI OS layer across search, Chrome, mobile, wearables, and development. The $249.99/month plan signals a “pro tier” AI economy, following OpenAI and Microsoft in monetizing AI not by usage, but value.
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TODAY IN AI
AI HIGHLIGHTS
🧠 After too many incidents, Elon Musk shared that Grok 3.5 will reason from first principles and physics to deliver truthful answers with minimal errors. Can we trust?
🤖 Manus launched a new paid plan starting at $39 with a shared pool of 19,500 credits. Teams can run 2 tasks simultaneously and can opt for “high-effort mode”.
🤝 Microsoft is transforming GitHub into an open AI ecosystem with multiple AI coding agents — its own, OpenAI's, and now Anthropic's — a shift toward AI neutrality.
🌌 An X user just built an app that lets you “explore human knowledge” by navigating a constellation of 2.8M arXiv papers to find unexpected connections and ideas. Try it here.
🗜 A new platform called Neo says it beats Manus AI and even OpenAI’s Deep Research on the GAIA benchmark. It can supposedly handle 1000+ reasoning steps without losing focus. Check out demos here.
Exactly as we predicted HERE — when our team first saw the launch of Manus AI Agent, we anticipated this trend. Now, it's happening even faster than expected. Genspark AI Agent just hit $36M in ARR within only 45 days — a goldmine in a blue ocean niche. But expect it to get crowded with big players in the coming months.
📈 Google's Gemini AI app hits a milestone with 400 million users and wows with its new Deep Think Mode, steals the spotlight from giants like ChatGPT.
💰 AI Daily Fundraising: Samaya AI has secured $43.5 million in funding. Notable investors include Eric Schmidt and Yann LeCun. The company boosts analyst productivity by 1000 times.
AI SOURCES FROM AI FIRE
It’s so sad that …. 50%+ of AI Fire readers think we’re just… robots.
We get it — it’s AI Fire, after all. But surprise: we’re very much human over here 🤣
Yes, we use AI. Yes, we write about AI. But our team behind this newsletter are real people, real brains, and occasionally real caffeine crashes ☕ So I think it’s time to officially introduce the new team members behind the words you've been reading every SINGLE day:
Wendy – That’s me! The voice behind this newsletter. I’ll help you stay ahead without getting overwhelmed.
Neil Phan – He’s a storyteller who brings creativity into the AI space. Always makes things feel more human.
Max Anh – Our clarity king. Max takes complex AI workflows and breaks them down so they actually make sense.
We’ve been quiet, but now felt like the right moment to say hi, our lovely readers ❤ Thank you so much for staying with us that long!
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AI QUICK HITS
🎀 Redditors asked ChatGPT to create their images based on usernames, the results are “adorable”.
🕶️ Google commits $100M to make smart AI glasses with daily style use.
🤔 AI reported is nearly 3X more likely to take a woman’s job as a man’s.
🔉 Google Meet can now translate a foreign language in real-time using AI.
🍏 Apple finally opens its AI models to third-party devs, no more closed ecosystem.
AI CHART
Imagine popping on your headphones at a bustling café in Madrid and being able to hear everyone around you speaking English — in their own voices, from their original directions — even if they’re actually speaking Spanish, French, or German. That’s exactly what researchers at the University of Washington have just made possible.
This tech is called Spatial Speech Translation System. It can run locally on devices with Apple M2 chips — meaning no internet/cloud needed.
🧠 How It Works
Speaker separation: AI models isolate individual voices in noisy environments
Real-time translation: Speech is translated on the fly with only a 2–4 second delay
Spatial preservation: The translated voices are played back to the user maintaining:
The direction of the original speaker (left, right, behind, etc.)
The unique voice characteristics of each speaker (pitch, tone, timbre)
🧭 Mobility & Adaptability
The system scans 360° like radar to detect and track moving speakers
It adapts even if people or the user is moving, maintaining consistent voice-source orientation
Current translation apps struggle in real-life, noisy, multi-speaker situations — this tech directly addresses that. Within 3–5 years, we can expect spatial translation features to appear in premium earbuds, AR glasses, and real-time collaboration tools — maybe even during your next international Zoom meeting.
AI JOBS
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The AI Fire Team
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