🎤 Google I/O 2025 starts May 20 in California, and it’s all about AI this year. Sundar Pichai and DeepMind's Demis Hassabis will showcase how Google is building AI into its core services. Expect Gemini, Project Astra, and more to take the spotlight! Lastly, we might get updates to popular Google services like Gmail, Chrome, and Workspace — all with a layer of AI, of course. As always, there could be some surprise reveals along the way.

#GoogleIO2025 #AI #Gemini

Tesla’s latest humanoid robot, Optimus Gen 2, marks a significant leap in robotics by combining agility, intelligence, and self-reliance. Unveiled with a 30% boost in walking speed (up to 5.2 mph), the robot is now more mobile and aware of its surroundings thanks to enhanced object detection capabilities. What sets this version apart is its ability to self-calibrate its limbs, allowing it to perform delicate tasks with machine-level precision—think folding clothes or sorting components. Tesla envisions deploying these bots at scale, with Elon Musk boldly predicting over 1 billion units in use by the 2040s. While groundbreaking, Optimus also stirs debate: Will robots like these replace human jobs or redefine them?

OpenAI has officially launched Codex, a next-gen AI agent built to assist developers and non-coders alike in writing, debugging, and understanding code. Available through Chat GPT Pro, Team, and Enterprise tiers, Codex can generate entire functions, explain complex code blocks, and even identify and fix bugs. Unlike traditional code auto completers, Codex is context-aware and can hold extended conversations about what you're trying to build. It acts like a tireless coding partner, making software development faster, more efficient, and less error-prone. Whether you're a beginner or pro, Codex aims to redefine how we interact with code.

What is Retrieval-Augmented Generation?
Retrieval-Augmented Generation (RAG) is an advanced AI framework that combines the power of real-time information retrieval with generative language models to produce more accurate, up-to-date, and contextually relevant responses. Unlike traditional AI models like ChatGPT, which rely solely on their pre-trained knowledge (often outdated beyond their training cutoff), RAG systems dynamically fetch and incorporate the latest data from external sources—such as databases, the web, or proprietary documents before generating an answer. This hybrid approach significantly reduces hallucinations (made-up facts) and ensures responses are grounded in verifiable information.

4 Key Advantages Over Standard ChatGPT:
✅ Always current info (no knowledge cutoff)
✅ Provides clickable references
✅ Less "hallucinations" of fake facts
✅ Can search private/internal documents

Real-World Uses:

Try It Yourself:
Perplexity.ai (free RAG-powered search)

4.You do this to put files on your computer.(6)

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7.Secret letters and numbers to access to your computer.(8)

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8.A camera on your computer.(6)

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10.This allows you to connect with the world.(8)

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13.This helps you with your math’s.(10)

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1.You use a camera or phone to take this.(5)

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2.Another name for a computer.(6)

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3.Another word for title.(8)

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5.Some people send this when they are on holiday.(8)

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6.You do this to put software on your computer.(7)

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9.You use this to type on a computer.(8)

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11.To put things on the internet.(6)

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12.Remove a file(6)

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Key:

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