🤖 Google’s AI Co-Scientist: The Future of Scientific Discovery?

🤖 Welcome to Not So Artificial!
AI is changing the game across industries—from scientific breakthroughs to gaming revolutions. Let’s dive into today’s biggest AI stories! 🧠💡

🤖 Figure’s Helix – A Big Leap for Household Robots

AI-powered robots that understand and act on voice commands

Humanoid robot maker Figure just introduced Helix, a new AI Vision-Language-Action model that lets robots follow voice commands and interact with objects they’ve never seen before—making practical household robots closer than ever.

🔍 The details:

• Helix combines a 7B-parameter brain for understanding and a fast 80M-parameter model for precise movement control.

• Figure demonstrated two robots working together to put away groceries they had never seen before using natural language commands.

• Helix runs efficiently on basic GPUs and requires just 500 hours of training data, far less than previous models.

• The launch comes just weeks after Figure ended its OpenAI partnership, showing confidence in its in-house AI.

🤖 Why it matters: Robots are proving their worth in industrial settings, but household robots remain a challenge. Figure’s Helix could bring robots into homes, learning to navigate complex environments and unique objects with ease.

🧑‍🔬 Google’s AI Co-Scientist – A Research Revolution

AI that discovers and validates scientific breakthroughs

Google just launched an AI-powered co-scientist, a multi-agent research assistant built on Gemini 2.0 that accelerates discoveries in medicine, genetics, and more.

🔬 The details:

• The system deploys six specialized AI agents working in parallel, handling everything from hypothesis generation to research validation and final review.

• In trials at Stanford and Imperial College, it identified new drug applications and predicted gene transfer mechanisms in just days.

• Initial testing shows 80%+ accuracy on expert-level benchmarks, outperforming both existing AI models and human experts.

• Google is rolling out access via a Trusted Tester Program, targeting research organizations worldwide.

🔍 Why it matters: OpenAI CEO Sam Altman recently suggested that next-gen AI models will start discovering new scientific knowledge—and Google’s AI co-scientist is proving that vision right. The future of science may be measured in days, not decades.

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🔬 Microsoft’s BioEmu-1 – AI That Speeds Up Protein Research

Predicting protein movements 100,000x faster

Microsoft Research just released BioEmu-1, an AI model that predicts protein shape changes and movements—a breakthrough for drug discovery and molecular research.

🧬 The details:

• BioEmu-1 simulates protein movements 100,000x faster than traditional methods, turning months of compute into minutes.

• The model was trained on 9 trillion DNA building blocks and 750,000 protein stability measurements.

• It achieved supercomputer-level accuracy, even for proteins it had never seen before.

• Microsoft is making the system freely available via Azure AI Foundry Labs.

🚀 Why it matters: Between Google’s AI co-scientist and Microsoft’s BioEmu-1, AI is slashing research timelines from years to days. And with these tools open to researchers worldwide, we might be entering an AI-powered golden age of science.

🎮 Microsoft’s Muse AI – The Future of Game Development?

AI-generated games in minutes

Microsoft just introduced Muse, an AI model that can create cohesive gameplay sequences in minutes—revolutionizing game development.

🎮 The details:

• Muse is the first World and Human Action Model (WHAM), predicting 3D environments and actions for structured gameplay.

• From just one second of gameplay input, Muse can generate two-minute playable sequences that follow real game physics.

• It was trained on seven years’ worth of gameplay data from Xbox’s Bleeding Edge, covering over 1 billion images and controller actions.

• Microsoft is open-sourcing Muse’s model weights, toolkits, and sample data.

⚡ Why it matters: Traditional game development takes months or years—Muse could reduce that to days. AI-created games could soon dominate, especially with Elon Musk’s xAI gaming studio joining the race.

⚡ Other AI & Tech News You Should Know

🤖 xAI’s Grok-3 is now free for a limited time, with premium users getting early access to advanced features.
📈 OpenAI now has 400M weekly active users and 2M paid enterprise customers, with developer usage doubling in six months.
🧏‍♂️ NVIDIA partnered with the American Society for Deaf Children to launch 'Signs', an AI-powered ASL learning tool.
🎨 Pika Labs released ‘Pika Swaps’, allowing users to swap items or characters in images using text prompts.
🎙️ Spotify integrated ElevenLabs’ AI voice tech, enabling authors to create AI-narrated content in 29 languages.
🧬 MIT unveiled ‘FragFold’, an AI system for predicting protein fragment interactions—advancing drug discovery.
🛠️ Perplexity open-sourced R1 1776, a retrained reasoning model based on DeepSeek, without built-in censorship.
📅 Amazon will shut down Chime (its video conferencing tool) on February 20, 2026.

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💡What else are we reading and seeing?

• The scaling laws govern AI progress

• AI Killed The Tech Interview. Now What?

• A.I. Is Changing How Silicon Valley Builds Start-Ups

• True AGI Means 10% Economic Growth, Says Satya Nadella

💡 That’s a wrap for today’s Not So Artificial! AI is reshaping science, gaming, and everyday life—stay tuned for more groundbreaking updates.

Thanks for reading! See you tomorrow. ✌️😎

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