Today on The Blind Spot, Jason Polaski rips the lid off Saturday night’s U-S bunker-buster strike on three Iranian nuclear sites—tracking the fallout from Natanz to Wall Street—then unloads on the pundit circus spinning it. In one breath he explains why the hit slams Tehran’s bomb quest into reverse; in the next he skewers late-night liberals who cried “World War III,” MAGA isolationists who’d shrug at a massacre if gas stayed cheap, and media hot-takes that flipped overnight from “Trump will dither” to “He moved too fast.” Along the way he crunches oil-price math, mocks “TikTok geopolitics,” stages a savage phone call with a progressive friend, and lays out the best-case (no wider war, no nukes) versus the nightmare scenario—all in a profanity-laced, data-driven monologue that ends with an unfiltered “good job, Mr. President.” Hit play if you want to hear every moving part—and every hypocrisy—laid bare.

Today on The Blindspot, I break down the rapidly escalating conflict between Israel and Iran—and the rising possibility of direct U.S. involvement. With Israeli airstrikes pounding nuclear sites and Iran firing missiles at civilian targets, America stands at a crossroads. Should we join the fight, sit it out, or chart a third path that reshapes the region? The question isn't just what we can do—but what we should.

On today's episode of the Blindspot, I spent two hours reviewing Caren Hao's book Empire of AI. Enjoy.

On today’s episode of The Blindspot, I dive into the protests erupting in Los Angeles—how they sparked, how they escalated into full-blown riots, and what the Trump administration did in response, including the deployment of federal troops. I break down California’s reaction, Gavin Newsom’s posture, and how the nation is processing—or failing to process—what’s happening on the ground. This isn’t just about LA; it’s about the collision of immigration politics, federal authority, and the American street. Buckle up—this one’s loud.

Joe Biden's inner circle purposefully hid his age related cognitive decline from the American people and especially the Democratic party. And I use this episode to explain why that was wrong on every level. Enjoy.

Jay sets out to roast Beijing but derails into a blistering autopsy of his own party. What starts as a brief nod to Joe Biden’s new cancer diagnosis detonates into a rant on the age issue Democrats pretended wasn’t there—right up until the 2024 debate meltdown proved every “he’s fine” whisper a lie. From Biden’s mixed record to DEI crack-ups and the trans-athlete backlash, Jay shreds the echo-chamber reflex that tells voters they’re bigots instead of listening to their opinions and concerns. He even torches the DNC’s latest genius move—handing David Hogg \$20 million to knife safe-seat Democrats. Bottom line: cowardice and brand rot, not GOP memes, are killing the left in the most perilous moment since the Civil War. Buckle up for a no-filter, fact-laced reckoning—and decide whether the blue team still deserves your trust

Near-miss nuclear showdown in South Asia, drone-packed chaos in the Red Sea, Gaza spiraling toward famine, and a president you love to hate unexpectedly chalking up foreign-policy points—this episode of The Blind Spot connects the dots you didn’t know were on the same page. I break down how a single VP sound-bite can spike global risk, why Europe’s token air-strikes won’t keep your shipping costs down, and what it really means to tiptoe across a “rickety rope bridge” of democracy for the next four years. Expect sharp analysis, hard-won context, and enough rhetorical shrapnel to leave every partisan bubble leaking air—hit play and let’s get uncomfortably informed.

On this episode of The Blindspot, Jay dives back into the world of large language models—what they can do now, and where they’re headed. He breaks down how the chatbots you’re probably using are already smart enough to walk you through building a boat, and why the cutting-edge models are operating on a whole different level—reasoning through frontier science, math, even leukemia research. Jay wrestles with being a humanities guy in an age of machine-driven breakthroughs, then walks us through how he used OpenAI’s latest model to outline a nine-book series starring a character named John Parker Belasko. He ends with a blunt truth: today’s models are the worst they'll ever be. The future? It’s all about how many tokens it’ll cost to solve your next big problem. Enjoy