Harry Stebbings@HarryStebbings14h ago

The best products are created by people solving a problem for themselves. I wanted a podcast that discussed the biggest news in tech, every week, with amazing analysis and left the politics and ego aside. This is the result and the only show you have to listen to every week. - Instinct Raises $1B at $10B Valuation - AMD Buys Fei-Fei Li's World Labs for $8.2B - Meta Poaches MongoDB's CEO - Oura Pulls IPO - Nubank Eyes $8–12B Monzo Takeover My notes below with @jasonlk, @rodriscoll, and @jaltma 1. It Is BS to Think That Open Source Runs Away With It by Being Cheaper Open-source models will not win on price alone because frontier labs hold structural advantages in compute scale, distribution, and revenue. Closed providers can subsidize lower-tier models aggressively enough to match open-source pricing. Open source will still capture a meaningful share of developer workloads, but frontier labs will compete hard on price to defend their position. 2. Why the Personal Assistant Space Is Very Reminiscent of the AI Coding Space Consumer AI assistants like Instinct represent an "aggregator of aggregators" shift similar to Cursor's impact on coding. Instead of acting as passive chat boxes, these autonomous agents can execute complex, multi-step actions across the live internet. By fundamentally reshaping how consumers interact with software and services, this new paradigm creates room for both startups and incumbents to build enormous value. 3. Tyler Cowen's Prediction for the Future of Venture AI is driving greater variance across venture capital, concentrating returns around an even smaller number of breakout winners. As Tyler Cowen put it, "Variance is gonna go up with AI, and many of you will fail." Traditional compounding strategies are becoming less reliable as capital and value creation cluster around outliers. 4. Why Will We See Many More Neo Lab Acquisitions? Foundation model labs and semiconductor giants like AMD are actively acquiring Neo Labs to expand technical capabilities and defend strategic positions. Few of the roughly 100 existing research labs are likely to survive as independent businesses. Those with differentiated technical assets and specialized domain models could become highly valuable acquisition targets. 5. Seed Round Should Still Be $2M to $3M Despite the hype around $50 million seed rounds, $2 million to $3 million remains the atomic unit of early-stage investing. AI development tools now allow lean founding teams to achieve as much operational progress on $2 million to $3 million as startups required far more capital to achieve a decade ago. Outside capital-intensive research labs, disciplined initial rounds help limit dilution and preserve healthy fund mechanics. 6. Should We Invest in Jev at $10 Billion? Running top-tier frontier models for 10 to 12 hours a day is economically unsustainable for many enterprise workflows. Lower-cost alternatives like Jev, operating at a fraction of the price and up to 100x the speed, are already capturing significant token volume. As compute budgets become more constrained, specialized efficiency models could represent a major venture opportunity. (links in comments)