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  • Unboxed

    The AI Robot That's 92% Accurate (March 2026 Breakthrough)

    ChatGPT just cracked the stock market. While most of us were arguing about whether AI will steal jobs, OpenAI's language model quietly generated 500% returns using sentiment analysis on social media posts. That's not hype, that's March 2026 data. But here's what caught my attention: it's not just finance getting disrupted. Three breakthrough announcements dropped this week that show AI moving from "cool demos" to "actually useful in your house." TidyBot hit 92% accuracy cleaning real homes. Not lab environments. Real messy houses with kids' toys, dirty dishes, and that pile of clothes you keep meaning to fold. The robot doesn't just vacuum, it puts things where they belong based on how you actually live. Meanwhile, Anthropic's Claude just tripled its context window to 100,000 tokens. Think of it as AI that can remember entire conversations, documents, or codebases without forgetting what you talked about five minutes ago. Game changer for anyone trying to get real work done. In This Episode: > How ChatGPT's trading algorithm actually works (and why it's controversial) > TidyBot's real-world testing results from 85 homes over six months > What 100,000 token context means for your daily AI workflows > Epic Games' new character animation that makes video game skin move like actual muscle James breaks down the technical details without the Silicon Valley marketing speak. You'll understand what these advances mean for regular people, not just AI researchers. Timestamps: 00:00 Introduction 01:30 ChatGPT trading strategy breakdown 04:15 TidyBot household robot results 07:20 Anthropic's context window expansion 09:45 Epic Games animation breakthrough 11:30 What this means for everyday users New episodes drop multiple times daily because AI moves fast. Hit follow on Unboxed so you don't miss the next breakthrough that actually matters. Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 14 min
  • Open Weights

    What Google's AI Detector Gets Wrong About Spotting Fakes

    That phone call from your "grandson" begging for bail money? It might not be your grandson at all. Voice cloning tech can now steal someone's voice using just 3 seconds of audio, and scammers are using it to fool millions of people out of billions of dollars. In this episode, Quinn Palmer breaks down how AI fakes are getting scary good and what you can do to protect yourself. 🎯 What You'll Learn: • How voice cloning works with just 3 seconds of audio and why your voicemail greeting makes you vulnerable • The red flags that reveal AI-generated content before it tricks you (including the weird hand thing in fake videos) • Why Google's AI detector fails 30% of the time and what that means for spotting fakes • Simple questions that expose AI phone scams before you lose thousands 👤 Perfect for: anyone who uses technology and wants to stay one step ahead of increasingly sophisticated digital cons. 📍 Chapters: [00:00] Quinn Palmer reveals why that family emergency call might be fake [01:30] Voice cloning tech: 3 seconds is all scammers need [04:00] The $11,000 mistake: how AI phone scams actually work [07:00] Spotting fake videos before they fool you [10:00] Google's AI detector problems and what they mean [12:00] Your defense strategy against AI fakes AI-powered scams jumped 1,100% this year, but the people who know what to look for don't fall for them. This episode gives you that knowledge in 15 minutes, with real examples and actionable tips you can use today. Face-swap technology can now fake video calls in real-time. ChatGPT fools teachers 89% of the time. The fakes are getting better, but so can your ability to spot them. 🔔 Never miss an episode: Follow Open Weights on Spotify or Apple Podcasts and turn on notifications. New episodes drop daily, your next favorite insight is one tap away. 🔍 Topics: AI detection, voice cloning, deepfakes, scam protection, machine learning ------ Keywords: large language models, ai development, chatgpt explained, tech industry news, python ai, ai tools, google ai Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 14 min
  • Artificial Intelligence Masterclass

    Maximizing Agent Swarm Performance with Signal-to-Noise Optimization | Artificial Intelligence Masterclass

    Maximizing Agent Swarm Performance with Signal-to-Noise Optimization Episode release date: 12 Nov 2023 Spreading awareness about the works of some of the leading educators in the AI revolution. "Helping humanity shepherd through this transition as we embrace the final invention of mankind: advanced artificial intelligence." David Shapiro aims to provide a pragmatic and optimistic view of the future. Core Ideas: Metamodernism: Narratives and emergence view of reality Postnihilism: The demand for meaning is false, there is only the Great Mystery Heuristic Imperatives: An ethical, moral, and decision framework. - Reduce suffering - Increase prosperity - Increase understanding Post-Labor Economics: Replace humans with machines (better, faster, cheaper, safer) mantra: EXPLORE: Delve into the unknown, driven by curiosity and a quest for discovery. Seek knowledge. ELUCIDATE: Make complex ideas clear, communicating them in an accessible and comprehensible manner. ENUMERATE: Ground insights in concrete data, providing measurable and quantitative evidence. ELABORATE: Add depth and detail to understanding, weaving comprehensive and nuanced explanations. DISCLAIMER: This is a community-driven show. This podcast may contain copyrighted material not owned by AI Masterclass. All copyrighted material in this podcast is believed to be within the bounds of educational purposes. -------- Keywords: openai, machine learning, prompt engineering, future technology, ai research, heuristic imperatives, machine autonomy, ai development Learn more about your ad choices. Visit megaphone.fm/adchoices

    Today · 18 min
  • Daily Apple Loop

    Daily Apple Loop: 14. október 2026

    Najnovšie správy o Apple: patentové spory, nové produkty a beta verzie.

    Today · 5 min

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