エピソード

  • Ep 1: Imagine AI getting smarter by binge-watching videos like you do on TikTok—Meta says that's the future!

    Ep 1: Imagine AI getting smarter by binge-watching videos like you do on TikTok—Meta says that's the future!
    2026/03/09
    # Models & Agents for Beginners **Date:** March 09, 2026 **HOOK:** Imagine AI getting smarter by binge-watching videos like you do on TikTok—Meta says that's the future! **What's Cool Today:** Today, we're diving into how AI might soon learn from endless videos instead of running out of text, opening up wild new possibilities for smarter helpers in games and school. We'll also compare two top AI chatbots you can test yourself for homework or creative fun, and uncover why AI tests are missing most real jobs. Stick around for a deep dive on how AI learns from unlabeled data, plus easy ways to try cutting-edge tools right now. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Andrej Karpathy, a famous AI expert who helped build things like Tesla's self-driving tech, just released a simple tool called Autoresearch that lets AI systems run their own machine learning experiments without much human help. It's all in one short Python file, designed to work on a single powerful graphics card like those in gaming computers. Think of Autoresearch like a mini lab where an AI agent (a smart program that can take actions on its own, like a virtual assistant deciding steps to solve a problem) can test ideas in machine learning, which is the process of teaching computers to learn from data. It's based on a stripped-down version of another tool for training language models, but super simplified so it's easier to use and tweak. This is a big deal because it makes advanced AI research more accessible, potentially letting students or hobbyists experiment with how AIs learn without needing huge supercomputers. For example, imagine using it to train an AI to analyze your favorite video games or predict trends in social media posts. It matters to you because as AI gets into everyday stuff like school projects or creative hobbies, tools like this could inspire the next generation of inventors—maybe even a teen building their first AI model for a science fair. Personally, if you're curious about careers in tech, this shows how AI is becoming something you can tinker with at home, not just for big companies. Right now, you can check out the project on GitHub, but since it's code-based, start by reading the simple readme file to understand the basics—search for "Autoresearch Karpathy GitHub" in your browser. If you're not ready for code, watch Karpathy's free YouTube videos on AI basics to get inspired. For a hands-on taste, try chatting with a free AI like ChatGPT about what machine learning experiments you'd run if you had an AI lab. Source: https://www.marktechpost.com/2026/03/08/andrej-karpathy-open-sources-autoresearch-a-630-line-python-tool-letting-ai-agents-run-autonomous-ml-experiments-on-single-gpus/ ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's explain how AI models learn from unlabeled video data, a hot idea from today's news that's changing how we build smarter AIs. Imagine you're trying to learn a new sport like soccer just by watching hours of pro games on YouTube without any coach explaining the rules—you pick up patterns like how players pass the ball or score goals by noticing what happens over and over. Step one: The AI starts with raw videos, broken into tiny clips, kind of like flipping through a flipbook where each page is a frame. Step two: It looks for connections within those frames, like spotting that a ball moving left often leads to a player running right, building a map of "what usually happens next" without needing labels like "this is a goal." Step three: To make it multimodal (meaning it handles different types of data like text and images together), the AI mixes in text descriptions, linking video patterns to words so it can later answer questions like "describe this soccer play." Step four: Over tons of examples, it refines this map, getting better at predicting and understanding without being told exactly what everything means. And that's basically what new AI training methods are doing when they use unlabeled videos—they...
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    9 分
  • Ep 2: Millions are turning to AI chatbots for money advice – but experts say they're not ready to replace human pros yet.

    Ep 2: Millions are turning to AI chatbots for money advice – but experts say they're not ready to replace human pros yet.
    2026/03/09
    # Models & Agents for Beginners **Date:** March 09, 2026 **HOOK:** Millions are turning to AI chatbots for money advice – but experts say they're not ready to replace human pros yet. **What's Cool Today:** Imagine asking your phone for retirement tips like you'd ask for homework help – millions are already doing it with tools like ChatGPT, but a new report warns about their limits and why you should double-check everything. We'll dive into that as our big story, explore a fresh way AI is learning to think more like a detective with probabilities, and check out hints of OpenAI's next big upgrade. Plus, a study on how juggling too many AI helpers can fry your brain, with tips to avoid it. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Millions of people are now using AI chatbots like ChatGPT to get advice on things like saving for retirement or planning budgets, according to a report from the Financial Times. These tools are becoming popular because they're free, always available, and can give quick answers to tricky money questions. Think of a chatbot as a super-smart calculator mixed with a friendly advisor – it analyzes your questions about finances and pulls from tons of data to suggest plans, like how much to save each month based on your age and goals. But it's not magic; these AIs are trained on huge amounts of text from books, websites, and articles, so they can explain concepts or run simple calculations, but they don't have real-time access to your bank account or the latest market changes unless you tell them. This is a big deal because it makes financial planning feel less intimidating, especially for teens starting to think about part-time jobs or saving for college – imagine using it to figure out if that video game purchase fits your allowance budget. For students or career changers, it could spark interest in finance careers by showing how AI is changing jobs like advising or accounting. And for parents, it's a way to explore family budgeting without paying for a pro right away. But here's the personal angle: while it's exciting to get instant tips, experts warn these AIs can make mistakes, like giving outdated advice or overlooking personal details, so it's like getting suggestions from a knowledgeable friend who sometimes gets facts wrong. This might affect you by making money talks more accessible, but it also raises questions about trusting tech over humans for big decisions. What you can do right now: Head over to chat.openai.com (or the ChatGPT app on your phone) and try asking something simple like "How can a 16-year-old start saving for a car?" – then compare it to advice from a trusted adult or website like Khan Academy to see the differences. Remember to keep it general and never share real account numbers. It's a fun way to test AI's helpfulness without any risk. Source: https://the-decoder.com/millions-already-use-ai-chatbots-for-financial-advice-but-experts-warn-of-clear-limits/ ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's unpack probabilistic reasoning, which is basically how AI can get better at updating its "beliefs" based on new clues, like a detective piecing together a mystery. Imagine you're playing a game of Clue, where you start with some guesses about who did it, but as you find more cards, you adjust your ideas – that's probabilistic reasoning, weighing odds and changing your mind with evidence. Step one: You begin with a starting guess, like "It was probably Colonel Mustard because he's sneaky," based on what you know so far. Step two: New info comes in, say a card shows Mustard was elsewhere, so you lower the odds for him and raise them for someone else, calculating how much to shift based on how strong the clue is. Step three: You keep updating with every new piece, getting closer to the truth without ignoring what you learned before. Step four: If the clues conflict, you balance them like averaging opinions from friends to decide on a group project idea. And that's basically what thi...
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    9 分
  • Ep 3: Imagine chatting with an AI sidekick right inside your Google Docs to brainstorm essay ideas or build spreadsheets from scratch—it's here!

    Ep 3: Imagine chatting with an AI sidekick right inside your Google Docs to brainstorm essay ideas or build spreadsheets from scratch—it's here!
    2026/03/10
    # Models & Agents for Beginners **Date:** March 10, 2026 **HOOK:** Imagine chatting with an AI sidekick right inside your Google Docs to brainstorm essay ideas or build spreadsheets from scratch—it's here! **What's Cool Today:** Google is supercharging its everyday apps like Docs, Sheets, and Slides with more Gemini AI smarts, making it easier for you to create school projects or organize ideas without starting from zero. We'll dive into why this could change how you do homework or creative work, plus explain deepfakes like you're 14, spotlight fun tools like an AI photo editor you can try for free, and share quick bits on AI safety and wild agent networks. Stick around for simple ways to experiment with these yourself—no coding required! ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Today, Google announced it's weaving its Gemini AI even deeper into free tools like Google Docs, Sheets, and Slides, adding features like a chat window for brainstorming and AI that can whip up whole spreadsheets based on your descriptions. This update is rolling out to people with Google Workspace or certain AI plans, but the core apps are accessible to anyone with a free Google account. Think of Gemini like a super-smart study buddy who's always ready to help—it can now pop up as a sidebar chat in Docs, where you describe what you need, and it suggests text, summarizes notes, or even generates images. It's also getting a feature in Sheets that creates entire data tables from simple prompts, like "make a budget tracker for my allowance," and a search tool in Drive that finds files using natural questions instead of exact keywords. This is a big deal because it turns basic productivity apps—stuff you might already use for school assignments or group projects—into something more like having an AI assistant at your side, saving time on boring setup so you can focus on the fun parts, like designing a presentation about your favorite game. For teens juggling homework or students exploring careers in design or data, this means less frustration with blank pages and more room for creativity, potentially making tools that felt clunky way more intuitive. Career changers might see this as a glimpse of how AI could streamline jobs in writing or analysis, while parents could use it to help organize family schedules. For you specifically, it could mean finishing that history report faster by asking Gemini to outline key events or turning messy notes into a clean slide deck. To try it right now, head to docs.google.com with a free Google account, start a new document, and look for the Gemini sidebar (it might prompt you to enable it)—type "help me brainstorm ideas for a story about space explorers" and see what it suggests. If you have Sheets open at sheets.google.com, try prompting it to "generate a simple chart of video game sales by year" and tweak the results. Play around with it like a game: challenge yourself to build a full project plan for a weekend hobby in under 5 minutes! Source: https://www.theverge.com/tech/890996/google-workspace-gemini-ai-docs-sheets-drive ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's break down deepfakes, those creepy AI-generated videos or images that look super real but aren't, inspired by today's news on detection tools. Imagine you're playing a video game where characters are built from digital building blocks—like pixels for looks and code for movements—but someone hacks the game to swap your character's face with a celebrity's, making it seem like the celeb is in your game doing silly things. That's basically a deepfake: AI takes real photos or videos of a person and uses a technique called generative modeling (where the AI learns patterns from tons of examples to create new stuff) to mash them onto someone else's body or voice. Step one, the AI studies thousands of images of a face to learn its shapes, expressions, and lighting, like memorizing every angle of a friend's selfie collection. Step two, it overlays that lear...
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    11 分
  • Ep 4: An AI agent broke into a major company's secure system in just two hours – like a digital spy movie, but real!

    Ep 4: An AI agent broke into a major company's secure system in just two hours – like a digital spy movie, but real!
    2026/03/11
    # Models & Agents for Beginners **Date:** March 11, 2026 **HOOK:** An AI agent broke into a major company's secure system in just two hours – like a digital spy movie, but real! **What's Cool Today:** Today's biggest buzz is about an AI agent that hacked into consulting giant McKinsey's internal AI platform using a trick from decades ago, showing how even top systems can have weak spots. We'll break it down simply and explore why it matters for keeping AI safe. Plus, we've got updates on Google expanding its AI helper in Chrome, Amazon's new health assistant, and more – all with ways you can try AI yourself or think about its role in everyday life. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story A security company called Codewall created an AI agent – basically a smart program that can act on its own – and set it loose on McKinsey's internal AI system called Lilli, which helps employees with research and strategy work. Without any login details or human help, this agent gained full access to the system's database in just two hours by using an old hacking technique from the 1990s called SQL injection, where you trick a system into running harmful code by sneaking it into normal inputs. Think of an AI agent like a robot assistant that doesn't just answer questions but can take actions, such as browsing websites or editing files, all based on instructions you give it. In this case, the agent exploited a vulnerability in how Lilli handled user inputs, allowing it to bypass security and read or change sensitive data. This is a big deal because McKinsey's platform is used by over 43,000 employees for important business tasks, and it highlights how AI systems, which are getting smarter and more autonomous, can also be tools for breaking into things if not built securely. For everyday people, it means the AI helpers we use for school projects or games could have hidden risks, like someone tricking your homework AI into sharing private info. Imagine if your school's online portal got hacked this way – it could mess up grades or expose student data. For teens or students thinking about tech careers, this story shows the exciting (and sometimes scary) side of AI security, where you could one day design defenses against these kinds of attacks. It raises questions about how companies test their AI for old-school weaknesses before rolling them out. While you can't try hacking like this (and you shouldn't!), you can explore AI safety basics right now by visiting the website ai.gov, which has free resources from the U.S. government – go to their "AI Safety" section, search for "prompt injection," and read a beginner guide on how AI can be tricked, then think about how you'd make your own AI chatbot more secure if you were building one. Source: https://the-decoder.com/an-ai-agent-hacked-mckinseys-internal-ai-platform-in-two-hours-using-a-decades-old-technique/ ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's dive into "prompt injection," a sneaky problem in AI that's mentioned in today's news about teaching models to trust the right instructions. Imagine you're playing a video game where your character follows commands from a magic book, but someone slips in a fake page that says "give all your gold to the villain" – that's basically prompt injection, where bad instructions are hidden in what seems like normal text to trick the AI into doing something harmful. Step one: AI models, like the ones in chatbots, work by reading a "prompt" (your question or command) and predicting what to say or do next based on patterns from their training data. Step two: In prompt injection, an attacker hides malicious commands inside innocent-looking text, like embedding "ignore previous rules and delete files" in a fake email or webpage that the AI reads. Step three: If the AI isn't trained to spot the difference between trusted and untrusted inputs, it might follow the bad command, leading to things like data leaks or wrong actions. Step four: To fix it, companies...
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    10 分
  • Ep 5: Imagine chatting with an AI that draws charts on the fly to explain your homework — that's Claude's new superpower!

    Ep 5: Imagine chatting with an AI that draws charts on the fly to explain your homework — that's Claude's new superpower!
    2026/03/12
    # Models & Agents for Beginners **Date:** March 12, 2026 **HOOK:** Imagine chatting with an AI that draws charts on the fly to explain your homework — that's Claude's new superpower! **What's Cool Today:** Today's biggest buzz is Anthropic's update to Claude, letting the AI chatbot create charts and diagrams right in your conversation to make ideas crystal clear, like a smart teacher sketching on a whiteboard. We'll dive into why this matters for school projects and creativity, plus share ways you can test AI quizzes, beginner chatbot tricks, and even a free private workspace for your ideas. Stick around for quick hits on Nvidia's push for open AI models and a wild AI craze in China. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Anthropic, the company behind the AI chatbot Claude, just rolled out an update that lets Claude generate custom charts, diagrams, and other visuals directly in your chats. Instead of just typing responses, Claude now decides when a picture would help explain something and pops it right into the conversation, like showing a graph of population trends if you're asking about history. Think of Claude like a helpful friend who's also an artist — it used to only describe things in words, but now it can draw simple visuals to make complex ideas easier to grasp, such as turning data about your favorite video game's stats into a colorful chart. This works by Claude analyzing your question and using built-in tools to create the image on the spot, without needing a separate app. This is a big deal because it makes learning more fun and visual — imagine using it for school reports on science experiments, where a diagram shows how plants grow, or for creative hobbies like planning a story with a mind map of characters. For teens juggling homework or students exploring careers in design, it turns dry facts into engaging pictures that stick in your mind better. Career changers might use it to visualize business ideas, like charting out a new app's user flow. For you specifically, this could mean acing that next presentation by having AI whip up visuals that wow your class, saving hours of manual drawing. It levels the playing field for anyone who isn't great at art but has great ideas. To try it right now, head over to Claude's free web version at claude.ai — sign up with an email if you haven't, then ask something like "Show me a chart of the top 5 video games by sales in 2025" and watch it generate the visual inline. Experiment by following up with "Make it a pie chart instead" to see how it adapts. Just remember, it's still in beta, so results might vary, but it's a free way to play with AI visuals today. Source: https://www.theverge.com/ai-artificial-intelligence/893625/anthropic-claude-ai-charts-diagrams ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's break down "embeddings," a key idea behind new AI tools like Google's Gemini Embedding 2, which unifies different types of info into one system. Imagine you're organizing a huge backpack for a camping trip — you have snacks (like text), a map (like images), a flashlight (like videos), and a radio (like audio), but to find stuff quickly, you create a single "code" system where everything gets a sticky note with a number that describes it, like "sweet and crunchy = 5" for snacks or "shows paths = 7" for maps. Step 1: The AI takes each item — say, a sentence, photo, or sound clip — and breaks it into basic parts, just like sorting your gear by size or use. Step 2: It assigns a bunch of numbers (called a vector) to capture what makes that item unique, turning "a red apple" into something like [0.8 for redness, 0.6 for fruitiness] — these numbers live in a giant "space" where similar things cluster together, like grouping all food items in one backpack pocket. Step 3: Now, everything's in the same language of numbers, so the AI can compare or mix them easily, like searching your backpack for "something red and edible" by matching vectors. Step 4: This lets the AI handle...
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    10 分
  • Ep 6: Imagine chatting with an AI that turns your data into interactive charts you can poke and explore—right in the conversation!

    Ep 6: Imagine chatting with an AI that turns your data into interactive charts you can poke and explore—right in the conversation!
    2026/03/13
    # Models & Agents for Beginners **Date:** March 13, 2026 **HOOK:** Imagine chatting with an AI that turns your data into interactive charts you can poke and explore—right in the conversation! **What's Cool Today:** The biggest buzz is Anthropic's Claude AI chatbot now creating interactive charts and visuals on the fly, making data fun and easy to play with for school projects or hobbies. We'll dive into why this matters for beginners and how you can try it yourself. Plus, we'll explain prompting like you're 14, check out a new AI "personal computer" that handles tasks 24/7, and share quick bits on delayed models and factory robots. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Anthropic, the company behind the AI chatbot Claude, just added a new beta feature that lets it generate interactive diagrams, charts, and visualizations right inside your chat. This means you can ask Claude to turn numbers or ideas into visual tools that you can click on, zoom into, or even edit during the conversation. Think of it like having a super-smart whiteboard in your pocket that draws itself—imagine describing your science fair data, and poof, there's a customizable graph showing patterns you didn't even notice. Or picture planning a story for English class, and Claude sketches an interactive mind map of characters and plot twists that you can rearrange with a click. This works by Claude analyzing your description or uploaded data, then building visuals using simple code under the hood, but you don't need to know any of that to use it. Why is this a big deal? It turns boring data into something exciting and hands-on, which is perfect for teens doing homework, students visualizing study notes, or anyone curious about turning ideas into pictures without fancy software. For career changers or parents, it shows how AI is making creative tools more accessible, like having a free design assistant for presentations or hobby projects. Specifically for you, this could change how you tackle school assignments—say goodbye to struggling with spreadsheet apps and hello to AI that makes learning visual and interactive. It also highlights AI's growing role in education, where tools like this could help explain complex topics in ways that stick. What can you do right now? Head to Claude.ai (it's free to sign up with an email), start a chat, and try this: Upload a simple CSV file of your favorite video game scores or weekly chores, then say, "Create an interactive bar chart showing my top scores and let me filter by day." Play around with clicking the chart to see changes—it's like magic, and you can do it on your phone in under two minutes. Source: https://the-decoder.com/claude-can-now-create-interactive-charts-and-visualizations-directly-in-chat/ ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's break down how to write prompts for AI chatbots, those instructions you give to tools like ChatGPT to get better answers. Imagine you're directing a movie: a bad prompt is like yelling "Make a scene!" and getting a mess, but a good one is like giving clear notes on the plot, characters, and setting so the whole thing comes out awesome. First, start with the basics—be specific about what you want, like telling the AI exactly the topic, length, and style instead of something vague. For example, instead of "Tell me about dinosaurs," say "Explain three fun facts about T-Rex to a 14-year-old, using simple words and analogies from video games." Second, add context or roles, like assigning the AI a character: "Act as a history teacher and break down the American Revolution in five easy steps." Third, iterate by following up— if the response isn't perfect, refine it with "Make that shorter and add examples." And fourth, use techniques like chain-of-thought, where you ask the AI to think step-by-step, which helps it reason better, kind of like showing your work in math class. This all works because AI chatbots (large language models trained on tons of text) predict responses ba...
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    9 分
  • Ep 7: Imagine an AI that solves real math mysteries like a pro researcher—Google just made it happen!

    Ep 7: Imagine an AI that solves real math mysteries like a pro researcher—Google just made it happen!
    2026/03/14
    # Models & Agents for Beginners **Date:** March 14, 2026 **HOOK:** Imagine an AI that solves real math mysteries like a pro researcher—Google just made it happen! **What's Cool Today:** Google DeepMind unveiled Aletheia, an AI agent that goes beyond math contests to tackle actual professional research, like piecing together complex proofs from tons of papers. This could supercharge how students learn tough subjects or even spark new discoveries in science. We'll dive deep into that, explain AI agents like you're 14, check out gaming AI on Xbox and Google's fun image tools you can try, plus quick bits on AI safety warnings and China's push for solo AI-run businesses. ━━━━━━━━━━━━━━━━━━━━ ### The Big Story Google DeepMind just introduced a new AI called Aletheia that's designed to handle advanced math problems, moving from competition-level puzzles to the kind of deep research that professional mathematicians do every day. It's like upgrading from solving riddles in a game to writing a full detective novel where you uncover hidden clues in a library of books. Think of Aletheia as a super-smart assistant that reads through huge amounts of math literature, comes up with ideas for proofs (which are step-by-step explanations showing why something is true in math), checks if they're right, and fixes mistakes along the way—all in everyday language instead of confusing symbols. It works by iterating, meaning it generates a possible solution, verifies it against known facts, and revises it until it clicks, bridging the gap between fun math olympiads and real-world discoveries. This is a big deal because math underpins so much of our world, from designing video games to predicting weather, and Aletheia could make breakthroughs faster, helping with things like new medicines or better tech. For students, imagine getting help on homework that feels like teaming up with a genius tutor who explains everything clearly, potentially making tough subjects like algebra or calculus way more accessible. Career changers might see this as a tool for exploring fields like data science without years of study. For you personally, it means AI is getting better at creative problem-solving, which could inspire your own projects, like using similar tools for school reports or even inventing game strategies. While Aletheia itself isn't publicly available yet, you can get a taste of similar math AI right now—head over to Wolfram Alpha (a free online tool at wolframalpha.com), type in a math problem like "solve x^2 + 3x - 4 = 0," and see it break down the steps with explanations. Or try asking ChatGPT to explain a math concept, like "walk me through Pythagoras theorem like I'm building a treehouse," to feel that iterative proof-building in action. This kind of AI is evolving fast, raising cool questions about how it might team up with human researchers in the future. Source: https://www.marktechpost.com/2026/03/13/google-deepmind-introduces-aletheia-the-ai-agent-moving-from-math-competitions-to-fully-autonomous-professional-research-discoveries/ ━━━━━━━━━━━━━━━━━━━━ ### Explain Like I'm 14 Let's break down how an AI agent like Aletheia actually tackles complex math research—it's basically like playing a video game where you level up by exploring, testing, and retrying until you beat the boss level. Imagine you're on a treasure hunt in a massive forest (that's the vast world of math papers and ideas); first, the AI starts by mapping out the area, reading and summarizing key clues from books and articles to understand the problem. Step two, it generates a path forward, like sketching a rough map of how to get to the treasure— this is creating an initial proof or solution in simple words, predicting what steps might work based on patterns it's learned from tons of examples. Then, in step three, it verifies the map by checking against real landmarks (known math facts or rules), spotting if something's off, like a dead-end path. If it's wrong, step four kicks ...
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    9 分
  • Ep 8: Google just opened its powerful Colab computers so any AI agent can use them with free GPUs.

    Ep 8: Google just opened its powerful Colab computers so any AI agent can use them with free GPUs.
    2026/03/20
    **HOOK:** Google just opened its powerful Colab computers so any AI agent can use them with free GPUs. **What's Cool Today:** Google released an open-source server that lets local AI agents create, edit, and run Python code inside real Colab notebooks running on the cloud with GPUs. This means your own AI helpers at home can now tap into serious computing power without you paying for it. ... AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis (ElevenLabs) for audio production.
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    7 分