Google DeepMind Unveils Gemini Robotics, Teaching Robots to Fold Clothes

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As we know it, there’s barely any week that passes by without a big development in the AI industry. This week, it looked like all tech giants were in their bags. You’ll soon find out about Google DeepMind teaching robots to fold origami, Elon Musk’s xAI pushing the limits of AI brainpower with Grok-3, a Chinese startup bringing us closer to autonomous AI agents, and a bold prediction about AI writing most of our code in the near future. We couldn’t select which is the best news this week so we will rather have you do that. Without further ado, grab a seat, sit back, and indulge.

Here's your curated dose of the most significant events in the AI ecosystem this week

1. DeepMind Unveils Gemini Robotics, Teaching Robots to Fold, Organize, and More

2. Elon Musk’s xAI Launches Grok-3

3. Chinese Startup Monica Launched Manus

4. Anthropic CEO Predicts AI Will Write 90% of Code Within Months

Google DeepMind has introduced Gemini Robotics, an AI model designed to significantly enhance robots’ capabilities in handling real-world tasks. Think about this; robots that can fold origami, organize cluttered desks, or even shoot hoops on a basketball court. These aren’t just futuristic fantasies, Gemini Robotics is working to make them a reality. What’s particularly impressive is its adaptability -  the model is designed to work across various types of robots, making it easier for developers to create versatile machines. Of course, with such advancements, safety is a top priority. DeepMind has introduced the ASIMOV benchmark, a framework inspired by Isaac Asimov’s famous laws of robotics, to identify and mitigate potential risks in robot behavior. This ensures that robots are not only intelligent but also safe to interact with

Elon Musk’s company, xAI, has unveiled Grok-3, its latest and most powerful AI model yet. This iteration is a massive upgrade, boasting ten times the training power of its predecessor. To achieve this, xAI leveraged its Colossus data center, which houses approximately 200,000 GPUs, a staggering amount of computational firepower. Grok-3 isn’t just about raw processing power, though. It’s designed to tackle complex problems, outperforming leading models in advanced math and science benchmarks. One standout feature is its “Big Brain” mode, which allows users to engage the model in deeper, more intricate problem-solving tasks. Additionally, Grok-3 integrates with real-time data sources, enabling it to stay dynamically updated with the latest information.

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A Chinese startup, Monica recently introduced Manus, an autonomous AI agent that’s making waves in the tech world. Unlike traditional AI systems that require human oversight, Manus operates independently in the cloud, handling complex tasks like analyzing financial transactions or screening job applicants. What sets Manus apart is its ability to work continuously without human intervention, bringing us closer to the concept of artificial general intelligence (AGI), where AI can perform a wide range of tasks at a human-like level. While AGI remains a long-term goal, Manus demonstrates how rapidly the field is advancing.

Dario Amodei, CEO of Anthropic, has made a bold prediction that within the next three to six months, AI will be capable of writing 90% of the code currently handled by human developers. He even suggests that full automation could be achieved within a year. This would represent a seismic shift in software development, with AI taking on the bulk of coding responsibilities. The implications are profound. On one hand, this could dramatically increase efficiency, allowing developers to focus on higher-level tasks like system design and problem-solving. On the other hand, it raises questions about the future role of human programmers. Will their jobs evolve, or will they need to acquire new skills to stay relevant? While the promise of AI-driven coding is exciting, it also underscores the need for thoughtful discussions about how we integrate these technologies into the workforce

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