Two Strange Books and a Bench Full of Bad Ideas: November's Links #ReadingNotes #Books #Psychology #AI #Ethics
04.01.2026 12:45 β π 2 π 0 π¬ 0 π 0@raphaelposs.com.bsky.social
I turn tech into products & teams into homes. Also: snowboarder & social chameleon. Website: https://raphaelposs.com/
Two Strange Books and a Bench Full of Bad Ideas: November's Links #ReadingNotes #Books #Psychology #AI #Ethics
04.01.2026 12:45 β π 2 π 0 π¬ 0 π 0Coaching the Selfie Generation: A Year of "Me Too" and Muscle Pics - #GenZ #Mentoring #OnlineCommunity #MentalHealth
03.11.2025 23:33 β π 0 π 0 π¬ 0 π 0I did a review of the EU labels. The design system is super nice.
23.10.2025 11:57 β π 0 π 0 π¬ 0 π 0 Pareto's 80/20 is wrong (it's 80/40), AI hallucinations are mathematically permanent, and reverse centaurs turn workers into
slop-cleaners. Lemon markets kill online authenticity while tech crushes small orgs. September reads: minds, markets, machines. ππ€
Ever notice how βliberalsβ push tariffs & βconservativesβ push green subsidies? π€ Labels are cosplay. The real game: energy, chips, water, supply chains.
Your portfolio cares about volts, not votes. β‘πΈ
#business #politics #supplychains #AI #energy #investing
I'm supporting EUβINC β a single legal entity to upgrade Europe for startups. Letβs make it happen. #EUINC
eu-inc.org/cta
From Hormoziβs sales psychology to sobering AI results: LLMs misalign when fed mistakes, people grow less human treating AIs as machines, and the startup bubble may burst before the AI one. Plus, a philosopher exiled for noticing the Earth moves. Value, hype, and hubrisβannotated. π
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Influence psychology transformed my view of sales, LLM context rot discovered, and developers overestimate AI productivity gains. Also: feudalism exists within democracies via corporations, and "being too ambitious is clever self-sabotage." Time to weaken belief edges, not fight facts. π―
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Apple proves LLM "reasoning" is just cosplayβaccuracy collapses beyond training complexity. Cursor pricing will create AI "haves" vs "have-nots." Also: spending time with LLMs is like being gaslight by bad people. The authenticity crisis demands we go smell things. π
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Built a TypeScript library for complex time scheduling because "Saturday morning" isn't a pointβit's a recurring range. Events vs periods: the mental model that changes everything. Also: my first AI-assisted post. π
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Building Quintism philosophy and a calm digital companion while discovering that friction is the most valuable commodity in the world. Also: narrative prison constrains creativity, the "Who Cares Era" reflects institutional trust breakdown, and we need new social structures. π§
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Silicon Valley is preparing a coup against geography-based government, hyperlegibility is trading secrets for attention, and LLMs can't do what we think they can. Also: we won't live to see the consequences of our AI investments. How do we guide choices responsibly? π
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The public internet is brokenβeven when you know what to watch out for. Algorithmic feeds are destroying our ability to search for knowledge and form memories. LOTR is brain-rot for technologists; read Discworld instead. We're approaching zombie war. π§
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Jordan Peterson is a fraud, RISC-V threatens US/UK hegemony, and Calm Tech certification could save our sanity. Also: DeepSeek demolished NVIDIA, and we have a moral duty to write human content before LLMs train on it. The PC is deadβtime to make computing personal again. π»
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Decoded lullaby language ("just" means unpredictable complexity), learned about systematic design vs empirical methods, and discovered universal moral principles. Also: advanced civilizations might be indistinguishable from nature. π±
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Mentoring a California CTO, learning that care doesn't scale, and discovering the 70% AI problem. Also: moral education might fix America's meanness, and egoless engineering beats strict division of labor. π§
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Learned the power of networking through the Ambassador vs Sympathizer vs DJ vs Figurant matrix. Also discovered the spiritual evolution of brands: traditional β modern β post-modern β network. What comes next after community brands? π€
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Joined an incubator program and discovered I need 4-5 important things in life to stay balanced, not just one. Started international trade consulting and ADHD career coaching. Turns out my focus is fineβI just need variety! π―
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Health forced me from reading to YouTube, but I found gems between the garbage. Started serious projects: international trade, AI-generated smut (yes really), urbanism, and a funnel factory. Marc Lou's ShipFast is virtual gold! β‘
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DoorDash = payday lenders for restaurants, Bruce Schneier explains how tech companies borrow from our collective social future, and group chats are the new web. Also: teenage plagiarists monetize audio+visual content demand. π±
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AI leaves accessibility behind, misallocated talent builds video games instead of solving real problems, and self-expression economy breeds cognitive dissonance. Also: phantom stock plans and why beautiful terminal animations matter. β¨
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Spent a month as a full-time construction project manager and learned that leadership is all about relationships. Delayed decisions, soft accountability, and empathy work better than pushing for perfection. Also: Kelly's criterion and why big companies suck. π¨
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Peter Thiel = Ayn Rand with computers and venture capital. Zero to One meets Seven Habits meets "Do Artifacts Have Politics?" Also discovered demurrage currency, statistical paradoxes, and why React/Vue/Svelte are all awful for prototyping. π€
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Ego is the enemy, fractal dimensions explain project cost overruns, and trust saves money. Also: AI will only simulate the most deeply flawed versions of our collective intelligence. Sometimes the hardest learnings aren't easily teachable. π
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Rebooted my reading habit and discovered that most corporate structures are social games where participants don't realize they can influence the rules. Also: LangChain brings order to AI chaos, and I learned what I'm "allowed to do." π
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Asked Claude AI to build a graphing calculator in GW-BASIC. It knows the syntax but insists on using EVAL()βa function that doesn't exist in the language. Christmas morning revelation: AI can't think outside the box... yet. ππ€
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Plot twist: after 15 years solving the hardest CS problems, I realized I'm actually a product person at heart. Leadership science is mostly descriptive, not prescriptiveβand that CEO looking for their "first technical hire" has the cart before the horse. π
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From coding to campaigning: one techie's journey toward political office starts with building executive credibility. Sometimes the loudest complainers about politicians should actually *become* politicians. π³οΈ
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"What's on your mind?" creates blind spots. Here's a mega-list of 1-on-1 questions organized by themeβbecause busy managers forget to cover important topics. Plot twist: the list is missing the most important question about organizational agency. π€
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