Isbn: 9783912499049 - f**kup almanac volume 2: stuff we built on top (9 resultados)

Paperback or Softback. Condición: New. Fuckup Almanac Volume 2: Stuff We Build On Top. Book.

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. We Stacked Abstractions Until Nobody Knew How the System Worked. That Was the Plan.A $500 million housing portfolio forced into liquidation because an algorithmic pricing model got too confident. A single, burnt-out, unpaid open-source maintainer in Germany nearly handing hackers the keys to the entire global internet. A friendly corporate chatbot transformed into a foul-mouthed, conspiracy-theorist neo-nazi in less than 24 hours. Entire generations of users digitally excommunicated-and a book title censored into "up Almanac"-by a naive text filter that couldn't grasp context.These were not isolated glitches. They were the natural consequences of stacking layers of automation, algorithms, and code, hoping the abstractions would protect us from our own complexity. The failures were in the delegation, the feedback loops, and the blind trust we placed in machines because thinking was too expensive.Fuckup Almanac Vol 2 is a documented, thoroughly researched autopsy of what happens when we let algorithms make decisions, automation run wild, and open-source foundations rot under the weight of global dependency. Sourced with rigour and told with sharp, cynical wit, it breaks down how the layers we built on top turned minor bugs into planetary-scale meltdowns.What makes this different from every other book on algorithms and AI: 102 real-world cases - from biased machine learning models to open-source backdoors, from high-frequency flash crashes to automated censorship1000+ verified, archived sources with a free public bibliography (no paper-wasting URL dumps)38 concept explainers that make machine learning bias, dependency injection, and API rate-limiting readable without an engineering degreeOne narrative voice - no sanitised corporate retrospectives, no marketing hype, no AI-first mythologyWritten for four audiences: engineers who want to understand the systemic failure modes of the abstractions they use dailyleaders who believe "AI will solve it" and need a reality check on algorithmic biasstudents who want to finally understand how systems scale without falling asleepand curious minds who want to know how our automated world actually runs under the hood."For anyone wishing to understand the invisible, crumbling scaffolding of the software running our daily lives, Volume II delivers a vital lesson in technical humility" - Independent Book ReviewVolume II of a four-volume investigation.If you've ever wondered why the automated world keeps failing - this is where the answers actually are. 102 real-world cases. Zero hype. Fuckup Almanac Vol. II is a sharp autopsy of our modern world. From biased AI to infrastructure meltdowns, this is an essential reality check for everyone building or managing complex systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. We Stacked Abstractions Until Nobody Knew How the System Worked. That Was the Plan.A $500 million housing portfolio forced into liquidation because an algorithmic pricing model got too confident. A single, burnt-out, unpaid open-source maintainer in Germany nearly handing hackers the keys to the entire global internet. A friendly corporate chatbot transformed into a foul-mouthed, conspiracy-theorist neo-nazi in less than 24 hours. Entire generations of users digitally excommunicated-and a book title censored into "up Almanac"-by a naive text filter that couldn't grasp context.These were not isolated glitches. They were the natural consequences of stacking layers of automation, algorithms, and code, hoping the abstractions would protect us from our own complexity. The failures were in the delegation, the feedback loops, and the blind trust we placed in machines because thinking was too expensive.Fuckup Almanac Vol 2 is a documented, thoroughly researched autopsy of what happens when we let algorithms make decisions, automation run wild, and open-source foundations rot under the weight of global dependency. Sourced with rigour and told with sharp, cynical wit, it breaks down how the layers we built on top turned minor bugs into planetary-scale meltdowns.What makes this different from every other book on algorithms and AI: 102 real-world cases - from biased machine learning models to open-source backdoors, from high-frequency flash crashes to automated censorship1000+ verified, archived sources with a free public bibliography (no paper-wasting URL dumps)38 concept explainers that make machine learning bias, dependency injection, and API rate-limiting readable without an engineering degreeOne narrative voice - no sanitised corporate retrospectives, no marketing hype, no AI-first mythologyWritten for four audiences: engineers who want to understand the systemic failure modes of the abstractions they use dailyleaders who believe "AI will solve it" and need a reality check on algorithmic biasstudents who want to finally understand how systems scale without falling asleepand curious minds who want to know how our automated world actually runs under the hood."For anyone wishing to understand the invisible, crumbling scaffolding of the software running our daily lives, Volume II delivers a vital lesson in technical humility" - Independent Book ReviewVolume II of a four-volume investigation.If you've ever wondered why the automated world keeps failing - this is where the answers actually are. 102 real-world cases. Zero hype. Fuckup Almanac Vol. II is a sharp autopsy of our modern world. From biased AI to infrastructure meltdowns, this is an essential reality check for everyone building or managing complex systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We Stacked Abstractions Until Nobody Knew How the System Worked. That Was the Plan.A $500 million housing portfolio forced into liquidation because an algorithmic pricing model got too confident. A single, burnt-out, unpaid open-source maintainer in Germany nearly handing hackers the keys to the entire global internet. A friendly corporate chatbot transformed into a foul-mouthed, conspiracy-theorist neo-nazi in less than 24 hours. Entire generations of users digitally excommunicated-and a book title censored into 'up Almanac'-by a naive text filter that couldn't grasp context.These were not isolated glitches. They were the natural consequences of stacking layers of automation, algorithms, and code, hoping the abstractions would protect us from our own complexity. The failures were in the delegation, the feedback loops, and the blind trust we placed in machines because thinking was too expensive.Fuckup Almanac Vol 2 is a documented, thoroughly researched autopsy of what happens when we let algorithms make decisions, automation run wild, and open-source foundations rot under the weight of global dependency. Sourced with rigour and told with sharp, cynical wit, it breaks down how the layers we built on top turned minor bugs into planetary-scale meltdowns.What makes this different from every other book on algorithms and AI:102 real-world cases - from biased machine learning models to open-source backdoors, from high-frequency flash crashes to automated censorship1000+ verified, archived sources with a free public bibliography (no paper-wasting URL dumps)38 concept explainers that make machine learning bias, dependency injection, and API rate-limiting readable without an engineering degreeOne narrative voice - no sanitised corporate retrospectives, no marketing hype, no AI-first mythologyWritten for four audiences:engineers who want to understand the systemic failure modes of the abstractions they use dailyleaders who believe 'AI will solve it' and need a reality check on algorithmic biasstudents who want to finally understand how systems scale without falling asleepand curious minds who want to know how our automated world actually runs under the hood.'For anyone wishing to understand the invisible, crumbling scaffolding of the software running our daily lives, Volume II delivers a vital lesson in technical humility' - Independent Book ReviewVolume II of a four-volume investigation.If you've ever wondered why the automated world keeps failing - this is where the answers actually are. …

Paperback. Condición: new. Paperback. We Stacked Abstractions Until Nobody Knew How the System Worked. That Was the Plan.A $500 million housing portfolio forced into liquidation because an algorithmic pricing model got too confident. A single, burnt-out, unpaid open-source maintainer in Germany nearly handing hackers the keys to the entire global internet. A friendly corporate chatbot transformed into a foul-mouthed, conspiracy-theorist neo-nazi in less than 24 hours. Entire generations of users digitally excommunicated-and a book title censored into "up Almanac"-by a naive text filter that couldn't grasp context.These were not isolated glitches. They were the natural consequences of stacking layers of automation, algorithms, and code, hoping the abstractions would protect us from our own complexity. The failures were in the delegation, the feedback loops, and the blind trust we placed in machines because thinking was too expensive.Fuckup Almanac Vol 2 is a documented, thoroughly researched autopsy of what happens when we let algorithms make decisions, automation run wild, and open-source foundations rot under the weight of global dependency. Sourced with rigour and told with sharp, cynical wit, it breaks down how the layers we built on top turned minor bugs into planetary-scale meltdowns.What makes this different from every other book on algorithms and AI: 102 real-world cases - from biased machine learning models to open-source backdoors, from high-frequency flash crashes to automated censorship1000+ verified, archived sources with a free public bibliography (no paper-wasting URL dumps)38 concept explainers that make machine learning bias, dependency injection, and API rate-limiting readable without an engineering degreeOne narrative voice - no sanitised corporate retrospectives, no marketing hype, no AI-first mythologyWritten for four audiences: engineers who want to understand the systemic failure modes of the abstractions they use dailyleaders who believe "AI will solve it" and need a reality check on algorithmic biasstudents who want to finally understand how systems scale without falling asleepand curious minds who want to know how our automated world actually runs under the hood."For anyone wishing to understand the invisible, crumbling scaffolding of the software running our daily lives, Volume II delivers a vital lesson in technical humility" - Independent Book ReviewVolume II of a four-volume investigation.If you've ever wondered why the automated world keeps failing - this is where the answers actually are. 102 real-world cases. Zero hype. Fuckup Almanac Vol. II is a sharp autopsy of our modern world. From biased AI to infrastructure meltdowns, this is an essential reality check for everyone building or managing complex systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. Fuckup Almanac Volume 2 | Stuff We Build On Top | Adam Korga | Taschenbuch | Fuckup Almanac | Englisch | 2026 | QuackFoundry Books | EAN 9783912499049 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …