Tech Adoption & Disruption
Every idea in Doomscholar on tech adoption & disruption. Open any one to read it in layers, with its sources.
- A Mathematical Theory of CommunicationClaude ShannonInformation can be quantified in bits and transmitted reliably over noisy channels up to a hard capacity limit, regardless of meaning.
- AGI Ruin: A List of LethalitiesEliezer YudkowskyAligning superintelligent AI is unsolved and likely fatal by default; current efforts are inadequate.
- Amusing Ourselves to DeathNeil PostmanPostman argued television doesn't just carry trivial content, it makes serious content trivial by forcing it into an entertainment form — so the danger is not that we are fooled, but that we are delighted into not wanting to know.
- Big IdeasARK Invest (Cathie Wood)Disruptive innovation platforms (AI, robotics, genomics, crypto, energy storage) will compound explosively.
- Block Goes Intelligence-NativeJack DorseyA much smaller team paired with AI can do more and do it better, so Block cut ~40% of staff to rebuild 'intelligence-native.'
- Fusion Ignition at the National Ignition FacilityLawrence Livermore National LaboratoryOn 5 December 2022, 192 lasers delivered 2.05 megajoules to a peppercorn-sized capsule of hydrogen isotopes and got 3.15 megajoules of fusion energy back — the first laboratory fusion reaction to release more energy than was put into the fuel. It proved the physics of ignition and left every engineering problem of fusion power still to solve.
- How To Survive AI Mass Replacement (& Escape Wage Slavery)Dan KoeWage slavery — dependence on a job for survival with no alternative skills — is a bigger threat than AI itself, and the antidote is five compounding traits (agency, taste, persuasion, persistence, iteration) that make a person 'unemployable' by choice rather than replaced by circumstance.
- Increasing Returns and the New World of BusinessW. Brian ArthurKnowledge-based industries run on increasing returns, not diminishing ones. The firm that gets ahead tends to get further ahead, producing winner-take-all markets.
- Information Management: A ProposalTim Berners-LeeA linked hypertext system over a network would let information at CERN (and everywhere) be shared without central control.
- Internet Trends ReportMary MeekerAn annual data-dense synthesis of global internet adoption, usage, and monetization trends.
- Jobs-to-Be-DoneClayton Christensen / Bob MoestaChristensen argues customers don't buy products, they hire them to make progress in a specific struggling moment — so segmentation by job, not by persona, predicts when a product will actually be pulled into use.
- Kishōtenketsu: The Four-Act Without ConflictJapanese & Chinese narrative traditionKishōtenketsu builds narratives in four beats — introduction, development, twist, conclusion — with no required central conflict, letting meaning emerge from juxtaposition rather than opposition.
- Machines of Loving GraceDario AmodeiPowerful AI could compress a century of scientific progress into a decade, curing disease and transforming society.
- MAYA: Most Advanced Yet AcceptableRaymond LoewyLoewy argued successful designs sit at the tension between novelty and familiarity — the most advanced solution the audience can still accept as familiar enough to adopt — so pushing too far ahead of what feels acceptable kills adoption even if the design is objectively superior.
- Meditations on MolochScott AlexanderMultipolar traps and coordination failures ('Moloch') drive races to the bottom across civilization.
- Metcalfe's LawRobert MetcalfeA network's value grows roughly with the square of its users, which is why the first users of a network are the hardest to get and the last are nearly free.
- Mobile Is Eating the WorldBenedict EvansMobile is the largest computing platform ever and is subsuming every other technology and industry.
- Moore's Law & the ExponentialGordon MooreMoore observed in 1965 that the number of components per chip was doubling every year (a rate he revised to every two years in 1975) — an exponential that held long enough to make the future systematically cheaper to compute than the present, and to make exponential thinking the required default for tech strategy.
- Moore's Law for EverythingSam AltmanAI will drive the cost of goods and labor toward zero, requiring a new social contract to distribute the wealth.
- OpenCloud ReportBattery VenturesOpen-source and cloud infrastructure are reshaping enterprise software economics and buying.
- Path DependencePaul DavidWhere you end up depends on where you started and every step in between.
- Power Laws & Scale-Free NetworksAlbert-László BarabásiBarabási showed many real networks — the web, actor collaborations, protein interactions — are scale-free: a few hubs have vastly more links than average, following a power law produced by preferential attachment, not by bell-curve randomness.
- Reed's Law & Group-Forming NetworksDavid P. ReedReed argued that tools that let users form groups — not just connect one-to-one or broadcast one-to-many — have value that scales as 2^n, vastly outpacing Metcalfe's n², because the number of possible subgroups explodes.
- Situational Awareness: The Decade AheadLeopold AschenbrennerAGI by ~2027 and superintelligence shortly after will trigger a trillion-dollar compute buildout and a US-China race.
- Superintelligence: Paths, Dangers, StrategiesNick BostromA machine superintelligence could rapidly become uncontrollable and poses an existential risk to humanity.
- TCP/IP & the End-to-End PrincipleVint Cerf & Bob KahnCerf and Kahn designed the internet to be dumb at the core and smart at the edges — reliability and intelligence live in endpoints, not in the network — which is why the same packet fabric could absorb every application since without redesign.
- The Anatomy of a Large-Scale Hypertextual Web Search EngineSergey Brin, Lawrence PageRanking web pages by the link structure of the web itself (PageRank) produces dramatically better search than keyword matching.
- The Attention MerchantsTim WuWu traces how, from the first penny press to Instagram, the business of capturing and reselling human attention has grown into the dominant engine of media — and how every attention boom triggers a backlash that resets expectations about what should be free from capture.
- The Filter BubbleEli PariserPariser argued personalized feeds create an invisible, non-consensual filter — you don't choose what you don't see, the algorithm does — so two people can search the same term and inhabit different information worlds without knowing it.
- The French Garden and the English GardenWill ManidisNew systems are usually built like French formal gardens — a geometry imposed from above that flattens whatever was already there — when they could instead be built like English landscape gardens, which study the existing terrain and work with what's already load-bearing.
- The Future Of Work When Work Is MeaninglessDan KoeAs AI automates labor, the scarce resource shifts from productivity to meaning, and Koe argues meaning survives in creative and relational work specifically because of 'The Swap Test': if a creator could be swapped out and the creation would be just as valuable, AI can replace it — but if the work only exists because of who made it, that perspective is the moat.
- The Internet Tidal WaveBill GatesThe Internet is the single most important development since the IBM PC; Microsoft must reorient every product around it or be swept aside.
- The Medium Is the MessageMarshall McLuhanThe form a communication technology takes shapes society more than the content it carries — the channel is never neutral.
- The Most Important CenturyHolden KarnofskyTransformative AI could make this the most pivotal century in human history, warranting outsized attention.
- The Most Important Skill To Learn In The Next 10 YearsDan KoeThe one skill that stays relevant regardless of which specific skills get automated is agency — the ability to act, iterate, and adapt without permission — because access to knowledge has never been the bottleneck; the willingness to act on it has.
- The Network StateBalaji SrinivasanA network state is a highly aligned online community that crowdfunds territory, earns diplomatic recognition, and ultimately secedes — the startup path applied to nation-building.
- The Next Big Thing Will Start Out Looking Like a ToyChris DixonDisruptive innovations are dismissed as toys because they underperform on established metrics while excelling on new ones.
- The Scaling HypothesisGwern BranwenIntelligence may emerge from scaling up compute and data. GPT-3 shows the hypothesis holds.
- The Sovereign IndividualJames Dale Davidson & Lord William Rees-MoggThe Information Age will dissolve the nation-state's power and empower mobile, digitally-sovereign individuals.
- The Techno-Optimist ManifestoMarc AndreessenTechnology and markets are the engines of human flourishing; stagnation and de-growth are the real enemies.
- The Unix PhilosophyKen Thompson, Dennis Ritchie & Doug McIlroyUnix won not by features but by composition — small tools that do one thing well, speak in text streams, and compose via pipes, so new capabilities emerge from combining old parts rather than rewriting.
- Trends – Artificial IntelligenceMary Meeker / BONDAI adoption and capex are scaling faster than any prior technology wave in history.
- We Need a New Science of ProgressPatrick Collison & Tyler CowenWe should study the causes of scientific and economic progress as a rigorous discipline to accelerate it.
- What Happened to the Future?Founders Fund (Bruce Gibney)Venture abandoned hard technology for trivial consumer apps; 'we wanted flying cars, instead we got 140 characters.'
- What We Owe the FutureWilliam MacAskillFuture people matter morally; positively influencing the long-term future is a key moral priority (longtermism).
- Why AI Will Save the WorldMarc AndreessenAI will augment human intelligence and improve nearly everything it touches, and fears of civilizational risk are misplaced.
- Why Software Is Eating the WorldMarc AndreessenEvery company is becoming a software company; software firms will disrupt incumbents across every industry.
- You're Probably Too EarlyMarc Andreessen (via The Startup Archive)Founders are far more likely to fail from being too early — building the right idea before the infrastructure or market is ready — than from being too late, which means a founder's own sense of 'someone must already be doing this' is a poor signal to act on.
- Zero to OnePeter Thiel & Blake MastersTrue progress is vertical (0 to 1) via monopoly-creating innovation, not horizontal copying (1 to n).
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