The AI Riff

In this episode, we unpack Google’s “above-the-cloud” compute idea, the real bottlenecks (power, latency, bandwidth), and what this means for lenders focused on unit economics—not sci-fi.

Key moments:

• 01:46 — Google’s space-compute “moonshot” (what it is and isn’t)

• 04:35 — Why space favors batch training (latency + bandwidth reality check)

• 08:09 — The $3T data center arms race (+ Google’s 2025 capex signal)

#AIinLending #MortgageTech #Banking #DataCenters #SpaceTech

We unpack whether AI is nuking SEO, why GEO (Generative AI Entity Optimization) matters, and if renewables can keep up with AI’s power hunger—through a lender/fintech lens.

• 2:00 “Web content is dead?” → impact on leads & SEO

• 12:30 Lender playbook in LLM era (avoid the copy-loop)

• 17:10 Google’s Gemini 3 and the search-to-suite revenue shift

AI “slop” has hit real estate: we unpack AI-staged listing photos, why labeling matters, and the downstream risks for appraisals, PIWs, and sight-unseen buys. Then we tackle jobs: a Yale Budget Lab study finds no economy-wide employment shock (yet) from generative AI—so where are the real gains? In task redesign and human+machine collaboration (think underwriting, fraud flags, faster docs). We wrap with on-the-ground UX: translation/AR is magical, but phones are the wrong form factor—bring on smart glasses.

Today we discuss Palantir and its role in helping FNMA clear out the fraud, Chat GPT gets a time out for not listening and the Anthropic CEO is calling for 20% unemployment in as little as 1 year! WHAT???

🎙️ Episode 21: “”We’ve hit 21—and with age comes glasses, wisdom, and kicking Rob out (just kidding). This week, we're joined by Mike Morehouse to riff on something far deeper than productivity: what happens when AI makes thinking too easy?This episode unpacks how effortless cognition—the AI-enabled ability to get the right info, right now—might quietly erode our critical thinking, creativity, and even our sense of self. But it’s not all doomscrolling. We explore how AI can actually sharpen our brains—if we use it with intention.Act 1 – The Dangers of Ease:Mike drops the thesis: we’re rushing into an era where tech isn’t just augmenting our work—it’s replacing our thinking. That shift, he warns, may leave us with brains that skip the reps we need to grow. Studies from MIT and NBER back it up—critical thinking is sliding, especially when AI becomes a surrogate instead of a sparring partner.Act 2 – The Struggle is the Point:The crew shares personal hacks (from crossword puzzles to brutal prompts) and challenges leaders to treat intellectual capital like any other resource: nurture it or lose it. They dig into how AI systems should be designed to challenge, not coddle, and why interacting with AI socially—even saying “thank you”—can activate deeper parts of the brain.Act 3 – Design for Depth, Not Dopamine:What kind of AI assistant are you building—one that gives answers or one that asks better questions? From board report prompts to salsa recipes and house mockups, the team explores how user intent shapes outcomes. They argue that thoughtful use of AI starts with leaders who know what they value—innovation or efficiency—and shape systems accordingly.Mic Drop Moment:“If you’re not growing your brain on purpose, AI will shrink it by default.”Plus: AI fails at house-lifting, salsa gets spicy, and Ruth avoids marital strife with a well-timed AI mockup.

In this milestone episode of The AI Riff, the crew dives into a listener-suggested bombshell: JPMorgan Chase’s bold move to standardize and scrutinize vendor AI. No more stealth updates. No more casual rollouts. If you can’t answer tough questions about model drift, governance, and fairness—you’re out.We unpack the first-order business implications (hello, vendor disqualification) and second-order effects (the rise of the “Responsible AI” officer and the trickle-down compliance chain that could reshape the mortgage tech stack).Whether you're a vendor, lender, or just trying to make sense of this shifting AI terrain, this episode is a must. We’ve got frameworks, fallout, and just the right amount of dog food talk.🔊 Put us in your ears on your next dog walk. We’re just the right length for a brisk lap around the block—and a deeper take on what actually matters.#AI #Compliance #ResponsibleAI #MortgageTech #Fintech #JPMorgan #AIinBanking #VendorRisk #AIAudit #TheAIRiff #Brimma

New data from NBER and Seismic says workplace use of AI is down. But is that the real story?🎙️ In Episode 19, we dig into what people are actually doing with AI—from quiet quitting ChatGPT at work to cultural drivers of global adoption. Ruth Lee breaks down the big shift from “doing” to “asking” in AI use—and what it means for your job.💥 Plus:- Why developers are (maybe) safe—for now- Copilot flops & coding nightmares- Data centers as AI’s next battleground- OpenAI vs the world🎧 For tech, lending, or just trying to keep up—The AI Riff breaks it down.👍 Like, comment, and subscribe for real talk on AI every week.

AI adoption is “slipping”—or just maturing? In Ep. 18 we unpack fresh Census data, rate-driven pause vs. true pullback, and why enterprise needs deterministic, scoped AI. Plus: Rolling Stone’s lawsuit vs. Google and the proposed RSL (Really Simple Licensing) for AI training, and where multilingual mortgage tools help Hispanic borrowers—without tripping compliance. Also: shifting model wars (Anthropic, OpenAI, open source) and what this all means for lenders and builders.

Episode 17 — AI’s Awkward Adolescence (with guest Ben Sizemore)This week on The AI Riff, the crew gets a little bigger. Rob, Kyle, Mario, and Ruth welcome special guest Ben Sizemore, CIO of Land Gorilla, to dive into a theme every technologist knows too well: the messy teenage years of AI.We kick things off with Taco Bell’s botched attempt at an AI drive-thru, where pranksters ordered 15,000 cups of water and chatbots got stuck in endless loops. Funny? Sure. But it’s also a case study in what happens when billion-dollar investments overlook edge cases, escalation paths, and real-world testing. From there, the team pulls on a bigger thread: why are companies racing to automate the lowest-wage tasks first, and what blind spots does that reveal about how AI is deployed?The conversation stretches into the risky world of AI manipulation—how researchers “flatter” chatbots into breaking their own rules—and what that might mean if similar tricks creep into lending, underwriting, or compliance workflows. The crew wrestles with where human judgment must remain in the loop, and why combining deterministic rule sets with AI might be the safer path forward. Along the way, they swap tacos (vegan and otherwise), laugh about “meat robots,” and compare notes on what AI tools they actually used this week—from coding copilots to data-sorting assistants.At its heart, this episode is about adolescence: that uneasy stage where a technology shows promise, but also immaturity, overreach, and insecurity. The payoff? A candid look at how companies can avoid Taco Bell-style faceplants and instead channel AI toward augmenting humans, not replacing them.

Hosts Kyle Meyers, Rob Katz, and Mario DiBenedetto, with guest Mike Moorehouse, tear into the myth that AI will “replace jobs.” Spoiler: it won’t—it’ll chip away at tasks, shake up workflows, and expose weak change management.The crew calls out lazy thinking (“just automate the job”) and reframes AI as a catalyst to redesign work itself—like word processors killing typing pools. Mario lays down a task-scoring framework (triggers, complexity, rules, exceptions) while Moorehouse warns of “AI anxiety” driving bad decisions and talent loss.The verdict: AI’s edge isn’t in mass layoffs, it’s in surgical automation + human-in-the-loop. Leaders who get this win. Those who don’t? Think Kodak when digital cameras hit.#AI #FutureOfWork #Automation #MortgageTech #Fintech