AI’s not just playing Jeopardy anymore, it’s coming for the Mensa crowd. In this episode, host Emily Laird spirals (productively) over Humanity’s Last Exam, a monster test built to measure whether AI is creeping past human-level intelligence. Spoiler: It is. With OpenAI’s research team clocking in at 26.6% and forecasts showing models might hit 50% by 2025, the machines are flexing hard. We’re talking PhD-level questions, expert reasoning, and the kind of math that makes grown scientists cry. So yeah, this isn’t a BuzzFeed quiz. It’s a warning shot. And maybe, a wake-up call.

Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about Humanity's Last Exam and the approach of AGI than you did before!

Google’s Gemini 2.5 just set a new standard on Humanity’s Last Exam and flexed hard in the AI Fight Club, outpacing GPT-4.5 and Grok-3. It reasons, codes, remembers a million tokens of context, and handles text, audio, images, and video like it’s born for chaos. In this episode, we unpack why Gemini 2.5 isn’t just smart, it’s scary good.

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Standardized tests are getting torched like marshmallows at a bonfire, and AI's top students are flunking the new final. In this episode, Emily unpacks Humanity’s Last Exam, a brutal, brain-bending test designed to humble even the cockiest language model. Forget multiple choice; we’re talking diagrams, logic puzzles, and cross-disciplinary chaos that left most AIs confidently clueless. Hear how this monster exam aims to reset the curve, why benchmark saturation is a real buzzkill, and what it says about how far AI has to go before it stops giving you medical advice with the swagger of a drunk Jeopardy contestant.

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Mobile AI apps are raking in cash—or at least convincing you that your fern obsession is worth $20 a month. This episode dissects the Andreessen Horowitz Top Gen AI Apps report, revealing why popularity doesn’t equal profit (looking at you, TikTok editors) and why niche apps (hello, dictation and nutrition coaches) are the real hidden gems. We explore how ChatGPT dominates while its shameless clones play whack-a-mole in app stores. Who’s winning, who's grifting, and who's quietly printing money? Buckle up—AI is scaling faster than your ex stalking your Instagram, and the market is just getting started.

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Forget dark-mode IDEs and midnight debugging crises—AI tools are ushering in a vibecoder revolution. This episode unpacks the surge in agentic IDEs like Cursor (think Jarvis meets Clippy, but actually helpful) and text-to-web platforms (just say, “Airbnb for iguanas,” and poof, it's live). From Bolt’s explosive growth to the surprising overlap between coders and no-code builders, we explore how AI is blurring the line between developers and dreamers. Whether you're coding hardcore or just vibing your next startup into existence, the future is here—and apparently, it's a vibe.

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AI video generation isn't awkwardly fumbling anymore—it's making Hollywood sweat. This episode explores the meteoric rise of Gen AI video apps like Hailuo and Kling AI, exploring how specialization (think ultra-precise visuals and deepfake-level features) is reshaping content creation. OpenAI’s hyped release, Sora, faces fierce competition, and AI-powered video editing tools are transforming tedious tasks like captioning and clipping. But with powerful new models like Google's Veo 2 emerging—complete with impressive visuals and steep pricing—is AI video finally going mainstream, or still stuck behind a paywall? Either way, get ready: your next viral video might be AI-made.

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AI moves fast—one minute you're on top, the next, you're a footnote. In this episode of Generative AI 101, we break down the latest Andreessen Horowitz Top 100 Gen AI Consumer Apps report. Spoiler: ChatGPT is still king, but DeepSeek just crashed the party. We're taking the week to examine the report but this episode focuses on ChatGPT, the Kleenex of AI, and the new kid on the block, DeepSeek.

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Alibaba’s QwQ-32B-Preview is here, and it’s not just another chatbot—it’s an AI reasoning machine that can handle complex math, coding, and logic like a pro. And the best part? You don’t need a data center the size of a city to run it. In this episode, we break down why this model is a game-changer, how it stacks up against the competition, and whether it’s the budget-friendly AI powerhouse we’ve been waiting for.

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Let's chat Meta's Llama 3.3 70B. This lean, mean AI machine can generate text, write code, and even produce synthetic data—all without needing a supercomputer the size of Texas. It’s faster, cheaper, and packed with innovations like Grouped-Query Attention (think AI on Red Bull). But what’s the catch? We break down its strengths, its limits (sorry, no Kardashian updates past 2023), and what it means for the future of AI.

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Claude 3.7 Sonnet isn’t just another AI—it’s Anthropic’s latest and smartest yet, balancing speed and deep reasoning like a human flipping between Twitter and a textbook. With a massive 200,000-token memory and sharper problem-solving, it’s a powerhouse for coding, research, and crunching complex data. But is it worth the price? And does it actually feel smarter? We break down the strengths, quirks, and real-world impact of Claude 3.7—plus, the one reason I finally caved and got a Claude Pro account.

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