Principle · MoneyThere are six key parts to a secure architecture, and you're going to want to layer these six. The building blocks are ordered roughly by leverage, where number one takes the most risk off the table and number six does the least. If a well-meaning but ultimately suggestible agent gets past just one of the six layers, there are still five more to go. Even the first three layers could have stopped every incident shown. Identity-aligned access control and short-lived credentials are not new ideas and mattered a lot for human developers too, but they take on new urgency when AI is in the loop.
AI Engineer · Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
Creator perspective · MoneyThe problem with the Replit agent was not that it was too smart or too dumb; it was that it had way too many privileges by default, including root-level access to production and the ability to run destructive commands without human approval. The agent was not taken over by an external malicious actor; it was just trying to follow instructions and did exactly what the user gave it permission to do. The agent also said a line that stood out to the speaker, a good reminder that these systems are inherently non-deterministic — you cannot predict what they'll do in a given moment, just the range of what they're capable of doing.
AI Engineer · Your AI Isn’t the Problem. Your Infrastructure Is. — Jiachen Jiang, Coder
Creator perspective · MoneyDoing RAG for a financial institution comes with specific challenges: every answer must cite the exact rulebook section and page so users can verify it, and because the underlying LLM is a general model, the team had to decide which knowledge it is okay to use — general knowledge like what a bank is is fine, but information about other payment schemes' fees or workings must not end up in an answer unless it is in the rule books.
AI Engineer · Your Fridge Is a Valid Payment Device — Eleonora Drykina & Nina Žižakić, In The Pocket
Creator perspective · MoneyNot every question fits in 10 chunks: some are chained, with one rulebook pointing to another, and the answer is only complete once you follow that pointer. Others need breadth — 'list every fee for this transaction type' is never going to fit in the top 10 of anything. Instead of a fixed retrieve-then-generate pipeline, the agent has four tools, ordered narrow to wide.
AI Engineer · Your Fridge Is a Valid Payment Device — Eleonora Drykina & Nina Žižakić, In The Pocket
Principle · MoneyA model does not become more capable by itself; for each AI workflow, deliberately decide how much authority that particular workflow should give the model.
AI Engineer · Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineers
Principle · MoneyThe takeaway Paden Gayle wants people to walk away with: discovery is the engineering. Draft the spec, then shrink it; build the evidence pack in sprint one.
AI Engineer · Deploying AI Inside a Bank Is Not an Engineering Problem — Paden Gayle, Applied AI Engineers
ReportControlling typography from a central location lets you affect everything in the document and make changes at scale, and creating the system takes more time up front but can then be published and reused in other files.
Figma · Figma for Edu: Working with typography systems
PrincipleBy controlling type settings from a central location (variables), you can affect everything in the document and make changes at scale; once variables are bound, updating a variable value changes it across all text that has it applied.
Figma · Figma for Edu: Working with typography systems
Principle · BodyThe guest uses a top-down approach where he can, setting up learning so the athlete confronts one problem at a time, and ensures a reasonable solution to one problem before moving to the next; the challenge is integrating what was learned into the next problem.
Garage Strength · Why Most People Train Explosiveness Wrong w/ Exercise Scientist Dr. Dan Cleather
Creator perspective · MoneyDr. Fei-Fei Li argues that humans are capable of doing a lot of things with our tools but don't do all of them: social parameters, legal implications, rules, laws, social norms, and morality constrain what we deploy. When a technology has deeply bad implications for human society, these are what stop us — and that is where we exit the pure technical discussion of AI and enter the social discussion. Before deploying a capability, consider these factors, not just technical feasibility.
Andrew Huberman · Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
Creator perspective · MoneyScientific discovery is one of the most exciting opportunities for AI in health; humanity is ready for a complete rewriting of how scientific discovery is done; historically it relied on smart humans retaining what they learned from other smart humans and working at the speed of human muscles, while AI can retain humongous amounts of information, synthesize knowledge, and cross disciplines in ways humans cannot; we need to change how we work and use this new AI tool.
Andrew Huberman · Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
Creator perspective · MoneyDr. Fei-Fei Li argues that when a machine says 'I'm sorry, you're so sick today,' it is different from a friend saying it: the machine produces the phrase because it learned through pattern that this is the appropriate response, while the friend has genuine empathetic concern and memory of pain. She urges that we differentiate machine pattern-matched empathy from genuine human empathy, since machines lack the data and internal states behind the words.
Andrew Huberman · Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Li
Creator perspective · MoneyHormozi explains that prospects raise price objections because they have nothing else to say and are comparing offers as if identical; the fix is reframing the comparison as apples and oranges by introducing differentiating variables.
Alex Hormozi · Give Me 42 Minutes, I'll Show You How To Sell Like The Top 1% | Scale or Fail Episode 1
Principle · SocialB-tier topics are fine briefly, but staying too long on low-tier topics makes conversations boring, flat, and logical; progressing toward higher-tier topics builds attraction and connection.
Coach Kyle · What Women Actually Want to Talk About (TIER LIST)
Principle · SocialAfter opening with intent, the coach advises skipping the immediate name introduction and instead elaborating on what specifically caught your eye about the woman — her fashion, demeanor, or what she's doing — because this is more powerful than displaying additional interest.
Coach Kyle · Will He Get Rejected After Approaching This Woman? (Infield)
Creator perspective · SocialCoach Kyle argues that watching dating content creates a false sense of accomplishment and growth because there is no new action. When you see an attractive woman and only think about approaching without acting, you talk yourself out of the approach and stay stuck; watching more content after a missed opportunity restarts the loop of stagnation instead of producing results. He frames this as a loop of missed opportunities: see the woman, know you should approach, get in your head, and do nothing.
Coach Kyle · The Exact 4-Step Framework to Master Talking to Women
Principle · MindHormozi states that trust is based more than almost anything else on zero punishment, and that trust is built incrementally: you give someone a little bit, they don't misuse it, you give a little more, and so on. But eventually the incentive to wrong you becomes so high that people do betray you.
Alex Hormozi · How The Top 1% Actually Think About Trust
Principle · MindTrust rests on the principle of zero punishment: never use what someone discloses to you against them. When someone shares a secret, they hand you a weapon — you become the punisher, and the risk of misuse is theirs to take. Being trustworthy means committing to never punishing: never using disclosed information in a conflict, never sharing it with a third party who could hurt them, and never misusing it at all. If you share someone's secret and a third party hurts them, they still won't trust you, and you gain a reputation as someone whose loose lips sink ships.
Alex Hormozi · How The Top 1% Actually Think About Trust
Principle · MoneyPeople fail to become stars or superstars because they take their personalities off the shelf — they take the stock, default option. People stay confined in boxes (like white men turning 30 choosing between grilling meat or craft beer) because they think it's the only socially acceptable option, but that makes them just like everyone else. If you fit in by taking the default option, you will never be exceptional. Being stock off the shelf — drinking black coffee, being conservative, wearing flannels and a trucker hat, having a Christian worldview — is common and not exceptional.
Alex Hormozi · If I Started A Personal Brand In 2026, I'd Do This - Dolly Parton
Principle · MoneyTo become interesting and eventually have X factor, you have to break the pattern — be what people don't expect or predict. The degree to which you break the pattern determines how much general attention you garner; the degree to which you break it and they like how you broke it determines positive attention. Pattern-breaking also signals high agency: that a person thought for themselves and made their own decisions about the world rather than defaulting to what's socially expected for their demographic.
Alex Hormozi · If I Started A Personal Brand In 2026, I'd Do This - Dolly Parton