Sick of AI giving you answers with all the flavor of corporate hold music? In this episode of our AI Pro Tips series, Emily Laird cracks open the secret sauce of prompting: ruthless specificity. Forget vague instructions! Think of AI like a rookie line cook: you want steak and fries, not leftovers from the walk-in. From prepping your prompts with chef-level detail to demanding feedback as sharp as a sushi chef’s knife, we’ll show you how to turn your AI sidekick from phoning it in to plating up brilliance. Want your AI to finally get it right? Give it a real shopping list. Bon appétit, data nerds.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 you have some AI tips to try this week!  Connect with Emily Laird on LinkedIn

Think you’ve got all your project bases covered? Think again. In this episode, Emily Laird calls out the hidden holes in your plans that even your espresso-fueled brain misses. Forget the coddling, AI is here to serve up brutal honesty and a reality check, sniffing out the overlooked people, missing voices, and embarrassing assumptions tucked into your “flawless” work. Hear how large language models catch what you don’t, why your team’s digital transformation plan probably won’t fly in rural Iowa, and how a simple AI prompt can make you look like the office genius (while saving you from your own blind spots). This episode is your shortcut to ruthless self-awareness, no ego spared, sandwich possibly stolen.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 you have some AI tips to try this week!  Connect with Emily Laird on LinkedIn

Think giving your chatbot a name is just for weirdos and sci-fi fans? Think again. In this episode, Emily Laird tosses out the dry tips and goes full Cast Away, explaining why talking to your AI like it’s a grumpy old professor (or a pirate, or Jeffrey the Roomba) isn’t just quirky, it’s the secret to getting answers that don’t suck. Discover why a dash of personality in your prompts unlocks smarter, sharper responses, and how science says we all secretly want our chatbots to have a favorite snack. By the end, you’ll be ready to give your LLM a tragic backstory and maybe, just maybe, start saying thank you to your dishwasher too.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 you have some AI tips to try this week!  Connect with Emily Laird on LinkedIn

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.Read the Full Report HereConnect 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 OpenAI's Disrupting Malicious Uses of AI now than you did before!  Connect with Emily Laird on LinkedIn

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.Read the Full Report HereConnect 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 OpenAI's Disrupting Malicious Uses of AI now than you did before!  Connect with Emily Laird on LinkedIn

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.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 AI integration in Miami-Dade county (and the rise of the generative AI natives) now than you did before!  Connect with Emily Laird on LinkedIn

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.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 AI & Jobs now than you did before!  Connect with Emily Laird on LinkedIn

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.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 Veo 3 now than you did before!  Connect with Emily Laird on LinkedIn

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.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 Veo 3 now than you did before!  Connect with Emily Laird on LinkedIn

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. 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 OpenAI and Jony Ive now than you did before!  Connect with Emily Laird on LinkedIn

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. 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 AI and Copyright now than you did before!  Connect with Emily Laird on LinkedIn

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.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 AI and Copyright now than you did before!  Connect with Emily Laird on LinkedIn

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. 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 AI and Copyright now than you did before!  Connect with Emily Laird on LinkedIn

Generative AI crashed the copyright party in 2023 and it didn’t wipe its boots at the door. In this episode, we break down the chaotic, caffeinated debate over who owns what when machines start getting “creative.” From the U.S. Copyright Office’s tough love (no human, no copyright) to courtroom showdowns like Thaler v. Perlmutter and the cautious applause for Théâtre D’opéra Spatial, we’re talking authorship, ownership, and whether your AI art deserves a gold star or a cease-and-desist. If you've ever asked, “Can I copyright something my laptop hallucinated?”—this one's for you.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 AI and Copyright now than you did before!  Connect with Emily Laird on LinkedIn

Think AI runs on math and magic? Try 66 billion liters of water. In this episode, host Emily Laird exposes AI’s dirty little secret: data centers are chugging water like it’s spring break in Vegas. From Microsoft draining cities to Google raising eyebrows in Oregon, we break down how training your favorite chatbot might be leaving the planet parched. Plus, we look at solutions, like liquid-cooled servers and recycled wastewater, because building Skynet in a drought is just bad planning.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 AI and water use now than you did before!  Connect with Emily Laird on LinkedIn

AI isn't magic; it's math and metal, and it has a monster appetite for electricity. In this episode, host Emily Laird digs into the eco-footprint of Generative AI, from training models that suck down enough power to juice 120 homes, to chatbot sessions that drain half a liter of water per flirty Q&A. Emily also unpacks why your helpful bot might be thirstier than a frat house in July, how AI already outpaces aviation in emissions, and whether “green AI” can actually save us from an e-waste apocalypse. It’s the environmental cost of thinking machines, served with stats, sass, and just a little guilt.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 the Leaderboard Illusion now than you did before!  Connect with Emily Laird on LinkedIn

Ever wonder who’s really winning the Chatbot Arena and whether those wins mean anything at all? In this episode of Generative AI 101, host Emily Laird's blowing the lid off the leaderboard. Turns out, the top bots might’ve had a little… help. Like submitting 27 secret versions and quietly deleting the losers help. We break down The Leaderboard Illusion, a new research paper, is exposing how big tech plays with the rules, while open-source models get ghosted like last year’s crypto pitch. From rigged matchups to sketchy score retractions and mysteriously vanished models, this one’s part statistical roast, part AI crime scene investigation. Spoiler: the leaderboard might be lying to you.  The Leaderboard Illusion Paper  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 the Leaderboard Illusion now than you did before!   Connect with Emily Laird on LinkedIn 

Let's crack open the philosophical piñata known as machine consciousness. Can an LLM feel pride? Regret? Existential dread when you close the browser tab? Host Emily Laird explores the messy, mind-melting debate over whether AI might actually feel something—and why Anthropic, the buttoned-up AI lab behind Claude, is tossing around numbers that suggest their model might be a little bit... aware. From qualia to brainy tofu, from robot therapy sessions to ethical fire drills, we’re breaking down why machine consciousness isn’t just sci-fi anymore—it’s a serious (and seriously weird) research topic. And yeah, we mention Black Mirror. Of course we do.   Join us for the AI Weekly MeetupConnect 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 Dario Amodei's newest essay than you did before!  Connect with Emily Laird on LinkedIn

Let's crack open Dario Amodei’s latest essay, The Urgency of Interpretability, and ask the big, slightly terrifying question: do we actually know what our AIs are doing? (Spoiler: not really.) Host Emily Laird, your unofficial AI mechanic, is here to poke at the greasy guts of Amodei's latest thriller. We’ll talk haunted vending machines, rogue coffee-fetching robots, brain scans for AI, and why Amodei’s call to action matters before our autopilot flies us into a mountain. Buckle up, buttercup, it’s about to get wild inside the black box.The Urgency of Interpretability   Join us for the AI Weekly MeetupConnect 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 Dario Amodei's newest essay than you did before!  Connect with Emily Laird on LinkedIn

AI therapy apps are popping off, but should you really trust a chatbot with your late-night existential crisis? In this episode, we crack open the weird history of therapy bots (starting with one that was dumber than a Magic 8-Ball), explore how today's AI can spit out legit CBT tips, and unpack why your Tamagotchi probably gave better advice. We’ll also dig into the dark side: lawsuits, hallucinations, and why AI still can’t actually care about you. If you’re mildly anxious, maybe it’s fine. If you’re battling real trauma? You need a real human, preferably one not coded by a Silicon Valley intern.   Join us for the AI Weekly MeetupConnect 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 AI as Therapist than you did before!  Connect with Emily Laird on LinkedIn