MIT AI designs bacteria-busting antibiotics

Plus: LAPD's photo spy tool, and Google's tiny AI.

Author

Amandeep Singh
August 15, 2025

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Welcome Humans🤖,

Here is what we have Today:

  • 💊 MIT's AI designs drugs against deadly resistant infections.

  • 🧠 Gemma 3 runs offline with 0.75% battery drain.

  • 👮 LAPD tests GeoSpy AI that pinpoints photo locations.

  • 🤖 Apple's secret robot army coming 2026

  • 💼 New Job Opportunities

AI Drug Discovery

💊 AI's New Antibiotics Against Superbugs

Superbugs are winning. For decades, drug-resistant bacteria like MRSA and gonorrhea have been outsmarting our best antibiotics — causing millions of infections and deaths each year.

MIT scientists just flipped the script.

This week, they unveiled two brand-new antibiotics designed entirely by AI.

Image source: MIT

🤖 The Breakthrough
MIT scientists used AI to design two brand-new antibiotics from scratch:

  • NG1 → Fights drug-resistant gonorrhea

  • DN1 → Wipes out MRSA skin infections

🧪 How They Did It

  1. Trained AI on 36M chemical compounds

  2. Screened for bacteria-killing power ⚡ + human safety ✅

  3. Discovered 2 drugs with never-seen-before attack methods

🐭 Test Results

  • NG1 & DN1 cleared infections in mice

  • Both target bacteria in completely new ways

🚀 Why It Matters

  • Bacteria evolve fast — faster than humans can invent new drugs

  • AI can explore chemical “dark matter” we’d never think of

  • Could spark a second golden age of antibiotics

💡 The Big Picture
This isn’t just playing catch-up with superbugs — it’s flipping the script.

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Apple

🏠 Apple bets big on AI-powered home robots

Apple’s cooking up something new for your living room — and it’s not another iPhone.

Bloomberg says the company is building four AI-driven smart home devices, rolling out between 2026 and 2027. The lineup? A desktop robot, a smart display, and AI-powered security cameras.

Image Source: Apple ML Research

🔍 What’s Coming

  • 🤖 Desktop Robot – Motorized arm follows you during calls, locks onto speakers, powered by an AI-upgraded Siri.

  • 💬 Siri 2.0 – Apple’s designing a new personality called “Bubbles” — think Clippy from Microsoft Office, but (hopefully) less annoying.

  • 🖥 Smart display: Launching mid-2026, running a new ‘Charismatic’ OS to control music, smart home gear, web browsing, and more — by voice or touch.

  • 📷 AI security cams: Months-long battery life, plus the smarts to dim your lights, greet you with your favorite playlist, and handle other automated tasks.

🛠 Under the Hood

  • Siri’s being rebuilt from scratch with AI models (codename Linwood).

  • Testing Anthropic’s Claude as a backup (codename Glenwood).

⏳ Why It Matters

The AI home robot race is heating up.
Google, Amazon, and Jony Ive’s OpenAI-powered device are moving fast.
If Apple wants to win your smart home, the clock is ticking.

✨ Quick Take

Apple isn’t just upgrading Siri — they’re changing the way your home talks to you, watches over you, and moves with you.

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Trending Today

  • SF Weekly Pulse: Another exciting week in San Francisco’s Vibrant Tech Ecosystem - Apples New and Technological Phone.

  • Google released Gemma 3 270M, an ultra-compact open model with just 270 million parameters, small enough for efficient on-device inference yet scoring 51.2% on the IFEval benchmark, outperforming several larger lightweight models. A Pixel 9 Pro test showed 25 multi-turn conversations consumed only 0.75% battery, making it a candidate for privacy-preserving, offline AI. Weights are freely available on Hugging Face, Kaggle, and Vertex AI, with licensing terms blocking harmful uses.

  • The LAPD (Los Angeles Police Department) is exploring GeoSpy, an AI tool that can identify where a photo was taken in seconds by examining soil, buildings, and other visual details, sometimes narrowing it down to a specific address. Emails show interest in its $5,000-a-year plan with 350 searches.

  • DeepSeek’s upcoming R2 AI model has faced repeated delays despite initial expectations for an August 2025 launch. Designed to outperform its R1 predecessor with faster reasoning, better accuracy, and open-source access, R2 is being developed and trained on Huawei’s Ascend 910B chips instead of Nvidia’s, but training has proven difficult. Reports say DeepSeek still uses Nvidia for training while relying on Huawei for inference, and issues like low-quality domestic training data, GPU shortages, and underwhelming performance have slowed progress.

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Source: Ideogram

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