Generative AI 101

AI isn’t just doing your homework anymore, it’s helping build malware, write fake job offers, and launch cyberattacks faster than you can say “Ctrl+Alt+Delete.” In this episode, host Emily Laird breaks down how generative AI is giving cybercriminals a glow-up, from malware-for-hire and espionage squads to scams slicker than a used car salesman in the metaverse. Meet ScopeCreep, Vixen, and Keyhole Panda, your new least favorite characters in the AI underworld, and find out how crime is getting scaled like a Silicon Valley startup. Bonus: some hope, because even bad bots leave breadcrumbs.

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Generative AI has a dark side, and it’s not just stealing jobs, it’s applying for them. In this episode, host Emily Laird goes underground with OpenAI’s new report on how generative models are powering fake résumés, propaganda machines, and influencer chaos. From North Korean hackers catfishing HR departments to AI-crafted love letters to authoritarian regimes, the scams aren’t new, but now they scale like fast food. Plus, the AI Avengers (OpenAI, Google, Anthropic) are fighting back. So yeah, that viral tweet at 2 a.m.? Might be a bot.

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AI isn’t just crashing Miami’s pool parties anymore, it’s moving into the classroom, and no, it’s not just helping kids cheat better. In this episode, hot Emily Laird's hitting the hot, humid hallways of Miami-Dade County Public Schools, where over 100,000 students will be getting cozy with Google’s Gemini chatbot. We’re talking AI-powered tutors, teacher bootcamps, and principals pitching projects like it’s Shark Tank: School Edition. From lesson plans to security feeds, this district is turning into an AI test kitchen, minus the exploding beakers. Oh, and there’s a District Director of Artificial Intelligence now. Basically, Miami’s got a Gandalf for generative tech. Let’s just hope nobody goes full Skynet.

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Grab your ergonomic chair and emotional support coffee, this one’s about your job, and whether AI already has it. In this episode of Generative AI 101, Emily Laird breaks down why Dario Amodei (Anthropic), Jensen Huang (Nvidia), and Kevin Roose (NYT) are all sounding the alarm—each in their own way—on the AI-job apocalypse. From entry-level extinction to CEOs quietly ghosting human hires, we’re talking mass layoffs, mentorship black holes, and how Claude might be your new coworker. But hey, it’s not all doom: learn the skills, prompt like a pro, and you just might be the one hiring AI instead of being replaced by it.

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Lights, camera, algorithm! This week, host Emily Laird hands the director’s chair to Google’s Veo 3, an AI video model that spits out 4K cinematic clips on command, complete with synced sound, consistent characters, and more drama than a Zoom call with your CEO. From TikTok teasers that don’t look like last-minute Canva projects, to cat-produced Sundance shorts, we explore how Veo 3 and its filmmaking sidekick Flow are making “movie magic” something anyone can prompt—no studio budget required. Plus, we pit Veo 3 against OpenAI’s Sora in the battle for AI’s Spielberg crown. Spoiler: the future of filmmaking now comes with a server rack and zero patience for reshoots.

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Google DeepMind just dropped Veo 3, and it's basically Final Cut Pro with a soul—or at least a solid camera sense. This episode, we're breaking down why this new generative video model isn’t just impressive—it’s unsettlingly good. Think 4K video made from text, audio that doesn’t sound like a Speak & Spell, and cinematic vibes so on point it could fool a film student. Plus, we unpack why the internet (and possibly the Oscars) is freaking out. Veo 3 isn’t playing around, it’s writing, directing, scoring, and syncing like it’s auditioning for your next binge-watch.

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What happens when OpenAI gives $6.5 billion to the man who made your iPhone hot and your MacBook sleek? You get a screenless, AI-native gadget designed by Jony Ive, aka the guy who convinced us that buttons are for peasants. In this episode, host Emily Laird digs into why OpenAI bought hardware startup io (yes, lowercase), what a “third core device” even is, and whether this digital Jeeves will actually serve you or just end up next to your unused VR headset.

Apple chic meets AI geek. Let’s go.

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Let's break down the U.S. Copyright Office’s spicy third report on AI, ya know, the one that's throwing elbows and reportedly got Perlmutter canned. From training on copyrighted data to market dilution (aka the Merlot of legal arguments), Emily Laird dissects the legal drama that could decide the future of generative models. We’re talking fair use, fine-tuning trouble, and why “AI just learns like humans!” won’t fly in court. It’s not law yet, but it’s already whispering in every judge’s ear.

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AI-generated Tom Cruise? Button-mashing cyberpunk operas? Welcome to the legal circus. In this episode, Emily Laird breaks down the U.S. Copyright Office’s spicy three-part report series on generative AI: from deepfakes and who actually owns AI-made content, to the billion-dollar question, can your model legally chow down on copyrighted books without asking? Spoiler: the Office isn’t exactly handing out high-fives. It’s The Lord of the Rights, and the lawyers have entered the chat.

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So you typed “a cat smoking a pipe in Van Gogh’s style” into your favorite AI tool, cool flex, but don’t try to copyright it. In this episode, host Emily Laird is slicing into the meat of the AI copyright mess: who owns AI-generated content, what the U.S. Copyright Office actually said about it, and why your clever prompt won’t get you a ribbon (or royalties). From the lawsuits piling up like week-old takeout to GitHub Copilot's DMCA drama, we’re breaking down the legal food fight between artists, authors, and the tech giants who trained their machines on oceans of human-made work.

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