Isbn: 9798194496808 - burn burn burn!: the hidden economics of ai token pricing: 2 (synthetic minds) (3 resultados)

Idioma: Inglés
Editorial: Amazon Digital Services LLC - Kdp Aug 2026, 2026
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 36,71
Envío por EUR 35,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Every prompt is a receipt. Most people never read them. A developer on a free tier, no card on file, watched his AI usage dashboard read zero dollars owed. At the same time, on the billing side of the same account, an invoice grew from $1.67 million to $16.6 million in about 24 hours. His bank declined two overseas charge attempts, not for fraud, but because the amounts exceeded his card's per transaction limit. No money was ever collected. The vendor confirmed it was a glitch and never disclosed the cause. In 2026, AI vendors quietly rebuilt the price of intelligence into at least six separate pricing layers, disclosed a caching discount that can cost more than never caching at all, and let a phantom invoice reach sixteen point six million dollars against an account that had never spent a dollar. None of it required a lie. It required a buyer who never checked. Burn Burn Burn is a forty chapter, dated, sourced audit of what AI actually costs versus what the rate card says it costs. It traces the token from a tokenizer's accounting trick to the invoice on a CFO's desk: the hidden cache and reasoning surcharges, the subscription tier that promises twenty times a number nobody ever published, the agentic architecture that turns one prompt into a committee meeting billed by the hour, and the psychology, borrowed wholesale from casino chip design, that makes a token feel like it costs nothing until the invoice arrives. This is not a book about whether AI is worth it. It is a book about whether you can actually see what you are paying for it before the next invoice arrives. Forty chapters. Eight parts. One argument, examined from every angle a finance team needs before signing the next contract, budgeting the next quarter, or reconciling the last invoice.…

Idioma: Inglés
Editorial: Independently published, 2026
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 25,75
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.

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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 27,98
Envío por EUR 43,71Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Every prompt is a receipt. Most people never read them. A developer on a free tier, no card on file, watched his AI usage dashboard read zero dollars owed. At the same time, on the billing side of the same account, an invoice grew from $1.67 million to $16.6 million in about 24 hours. His bank declined two overseas charge attempts, not for fraud, but because the amounts exceeded his card's per transaction limit. No money was ever collected. The vendor confirmed it was a glitch and never disclosed the cause. In 2026, AI vendors quietly rebuilt the price of intelligence into at least six separate pricing layers, disclosed a caching discount that can cost more than never caching at all, and let a phantom invoice reach sixteen point six million dollars against an account that had never spent a dollar. None of it required a lie. It required a buyer who never checked. Burn Burn Burn is a forty chapter, dated, sourced audit of what AI actually costs versus what the rate card says it costs. It traces the token from a tokenizer's accounting trick to the invoice on a CFO's desk: the hidden cache and reasoning surcharges, the subscription tier that promises twenty times a number nobody ever published, the agentic architecture that turns one prompt into a committee meeting billed by the hour, and the psychology, borrowed wholesale from casino chip design, that makes a token feel like it costs nothing until the invoice arrives. This is not a book about whether AI is worth it. It is a book about whether you can actually see what you are paying for it before the next invoice arrives. Forty chapters. Eight parts. One argument, examined from every angle a finance team needs before signing the next contract, budgeting the next quarter, or reconciling the last invoice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…