Read the Newsletter Issue #77
We kick things off by debunking 2025’s biggest myth: that open-source AI is cheaper. A new study by Nous Research reveals that once you count actual tokens consumed, closed-source APIs are quietly saving you money, with open-source models burning 1.5 to 4 times more tokens and costing up to 10 times more for simple tasks. Learn why "token discipline" is more critical than a model's sticker price, and how to measure the total cost per solved problem, not just per token.
Next, we dive into "The Battle for Your Face," exploring why the next tech giant won't win the smart glasses war with more features, but with invisibility. Discover the four non-negotiable strategies for success: killing the bulk, owning one core use-case, making privacy a tangible feature (like a physical shutter), and pricing like eyewear, not iPhones. The goal? To make users forget they're even wearing tech.
Need to 10X your daily output? We reveal a quick hack: a 30-second AI "micro-agent" ritual that turns your one objective into a 3-bullet game-plan, a Slack reminder, and a calendar block, saving you ~45 minutes of decision fatigue daily. Plus, get 14 actionable tips to keep momentum alive, transforming how you approach projects – from shipping "half-done" work and rewarding yourself for starting, to embracing "ugly drafts" and using AI to generate ideas you'd never conceive on your own.
Finally, learn how to turn your phone into a business by monetizing the apps and data you already use every day. We illustrate how "invisible automation" can generate income from your Notes app, Camera Roll, Spotify history, AirPods, and even your banking app, showing you how to monetize the "horse you already have" instead of hunting unicorns. We also touch upon the fascinating concept of AI designing bizarre new physics experiments that actually work, bypassing human bias and leading to breakthroughs physicists never considered.
Tune in to reshape your understanding of AI, leverage invisible tech, and master productivity for unparalleled efficiency and performance!
