🚀 Google AI Even Beats NASA

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Google launched an AI that watches the entire planet in real time, and it’s not science fiction. Plus: make your own Netflix shows, AI chips vs Nvidia, and a lab run by bots.

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What are on FIRE 🔥

• 🌍 Google AI ‘Virtual Satellite’ Maps Entire Planet in Real Time

• 🌟 AI Highlights

• 📚 AI Sources From AI Fire

• 📃 AI Cheat Sheet

• 🏅 AI Tools

• ⚡ 5 AI Quick Hits

• 📊 AI Chart

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AI INSIGHTS

🌍 Google AI ‘Virtual Satellite’ Maps Entire Planet in Real Time

Google DeepMind just unveiled AlphaEarth Foundations, and it’s basically a planetary copilot for Earth data. And it’s not just powerful, it’s efficient as hell.

Instead of treating each satellite image like a random puzzle piece, AlphaEarth compresses petabytes of Earth observation data into what it calls “embedding fields” – tiny, searchable summaries of 10×10 meter surface patches, in near real-time.

It’s faster and cheaper

• Cuts storage needs by 16x.

• Reduces error rates by ~24% compared to previous models.

We’re talking about 1.4 trillion embedding footprints per year available for download, query, and custom analysis.

Oh, and it’s live right now inside Google Earth Engine. Real-world use cases already rolling:

• MapBiomas (Brazil): Monitors Amazon deforestation in near real-time.

• Global Ecosystems Atlas: Maps uncharted regions like shrublands and deserts for conservation.

• Evapotranspiration tests: Outperformed all other systems → the only one not worse than guessing.

Planet-scale intelligence is now accessible. You no longer need to be NASA or a national lab to build global-scale maps. It can even predict what the terrain should look like, based on history and context.

Why It Matters: This is Google building an OS for Earth. It’s also one of the biggest AI privacy design wins. And one more thing, if OpenAI’s planning a GPT for planetary data, they’d better move fast. Google just took the lead.

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TODAY IN AI

AI HIGHLIGHTS

🧰 Entrepreneur and podcast host Greg Isenberg has shared a list of AI tools he used to take his startups from idea to launch & find customers fast. See this solid list here.

🎥 xAI opened the waitlist for its upcoming “Imagine” image and video generation feature, which will include audio capabilities similar to Google Veo 3. Join the waitlist!

🖼 Ideogram released Character that allows you to create images with your face. Just a clear photo is enough to get consistent images or swap face. Here’s its video demo.

🔥 We found this repo of 40 specialized Claude agents (for designs, marketing…) to streamline your business, or mimic an entire workforce from entrepreneur Ian Nuttall.

📷 The ‘Netflix of AI’, Showrunner, is launched. Clone film scene → replace actors → make them say → control acting. It even copies framing, lighting, cinematic look. More examples here.

💰 AI Daily Fundraising: AI chip startup Groq is raising $600M at a $6B valuation, led by Disruptive VC. Total funding now tops $2B. Groq aims to challenge Nvidia in global AI data centers.

AI SOURCES FROM AI FIRE

AI CHEAT SHEET

NEW EMPOWERED AI TOOLS

1. 📊 Nimt.ai tracks, analyzes & boosts any brand’s visibility in AI search

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AI QUICK HITS

1. 💰 Microsoft will spend record $30B this quarter as AI investments pay off.

2. 🔒 Google & YouTube are using AI age checks to lock down user accounts.

3. 🤖 Zuckerberg signals Meta won’t open all of its ‘superintelligence’ AIs…

4. 📄 Google says it will sign EU’s AI code of practice, while Meta said NO!

5. 🧠 Microsoft secures OpenAI access deal even after AGI is achieved.

AI CHART

👨‍🔬 Stanford’s Virtual AI Scientists Discover COVID Treatments

You want to run an entire biomedical research lab… without a single Zoom meeting? Now you kinda can. Stanford and the Chan Zuckerberg Biohub just launched a wild new system: a virtual AI research lab.

→ A principal investigator. Specialized agents. Even digital lab meetings that finish in literal seconds. The result? 92 COVID nanobody designs, with 2 already successful in real-world testing.

Here’s how it works: Stanford’s setup includes an AI principal investigator who forms task-specific agent teams to handle scientific questions. They run debates, design experiments, and even call on tools like AlphaFold all by themselves.

Here’s why that matters:

• Most science is slow – blocked by meetings, budgets, and expert bottlenecks. These AI agents skip all that.

• They don’t get tired. They don’t need weekends. They don’t care if the lab is short-staffed.

• And they’re transparent. You can literally watch the reasoning process unfold.

This is AI as scientists. It’s not perfect yet, complex long-term studies and creative leaps still need humans. But if this scales like it’s trending? The next breakthrough might come from a Slack thread between 4 bots and a protein structure.

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The AI Fire Team