Tech billionaires like Bryan Johnson are spending millions trying to hack death — blood plasma transfusions, stem cell injections, hundreds of supplements daily.

But legendary Silicon Valley journalist Kara Swisher just launched a CNN docuseries arguing that most of it is expensive snake oil, and the real path to living longer is far less glamorous. Her show, "Kara Swisher Wants to Live Forever," features interviews with Sam Altman, CRISPR pioneer Jennifer Doudna, and Bryan Johnson himself — and the conclusion is uncomfortable for the biohacking crowd: the proven keys to longevity are preventive care, social connection, and basic health fundamentals.

Chris and David explore what the longevity conversation means for entrepreneurs — both as founders building businesses and as humans trying to live well while doing it. They dig into the genuine medical breakthroughs that could change everything (mRNA vaccines for diabetes, AI-powered cancer screening, injectable micro-robots), separate them from the wellness industry hype, and debate whether the longevity space represents a real startup opportunity or just another cycle of snake oil with better marketing. Along the way, they connect the dots to their own episodes on founder burnout, vacations, and the myth of the "always grinding" entrepreneur.

Whether you're considering building in the health and wellness space, curious about what actually works for living longer, or just a founder wondering if you should be taking 100 supplements a day, this episode cuts through the hype with data and honest conversation. The bottom line? The boring fundamentals — sleep, exercise, relationships, preventive care — still beat every biohack on the market. And that's as true for building a business as it is for building a longer life.

Google News started showing Polymarket gambling bets right alongside articles from Reuters, The Guardian, and the Financial Times — and when people noticed, Google called it "an error." But was it really?

With Google already having a formal data partnership with Polymarket, and prediction markets aggressively pursuing legitimacy through deals with CNN, Dow Jones, and Elon Musk's X, the line between news and gambling is getting deliberately blurred.

Chris and David unpack what this incident reveals about how algorithms decide what counts as "news" — and why prediction markets are engineered to exploit exactly those signals. They dig into the growing list of Polymarket scandals, from a suspicious $400K bet placed hours before the US invasion of Venezuela to Israeli military personnel betting on their own upcoming strikes, and debate whether prediction markets are a legitimate information tool or just gambling dressed up in news formatting.

For startup founders, this episode delivers three critical insights: how platform partnerships can rapidly reshape your credibility, why algorithms that optimize for engagement are fundamentally unable to distinguish journalism from gambling, and what happens when you build a business model in a regulatory gray area. Whether you're building a media startup, an information product, or anything that depends on platform distribution, this conversation will change how you think about the fragile line between content and commerce.

Anthropic just announced something that should make every founder sit up and pay attention: their new AI model, Claude Mythos, can autonomously find and exploit zero-day vulnerabilities in every major operating system and every major web browser.

We're not talking about theoretical weaknesses — the model wrote a fully working exploit for a 17-year-old FreeBSD bug that grants root access to unauthenticated users, with zero human involvement after the initial prompt. It found a 27-year-old bug in OpenBSD, an operating system famous for its security. And non-security-experts asked it to find vulnerabilities overnight and woke up to complete, working exploits the next morning.

Chris and David dig into what this means for the cybersecurity landscape and for startups in particular. They explore the massive leap from Anthropic's previous model — which had near-zero success at exploit development — to Mythos Preview, which succeeded 181 times on the same benchmark. They debate Anthropic's decision to withhold the model from public release through "Project Glasswing," sharing it only with critical infrastructure partners, and whether that approach protects the ecosystem or just delays the inevitable arms race between AI-powered attackers and defenders.

For entrepreneurs building software products, the implications are immediate and practical. The window between a vulnerability being publicly disclosed and an AI turning it into a working exploit is shrinking to hours. Patch cycles need to accelerate, security testing needs to level up, and the old startup excuse of "we're too small to be a target" just became dangerously outdated. This episode breaks down exactly what founders should be doing right now to prepare for a world where AI is both the lock and the lockpick.