Argudin danny (23 risultati)
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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Lingua: Inglese
Editore: CreateSpace Independent Publishing Platform, 2026
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently published, 2026
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published Mai 2026, 2026
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - What does it mean to call something artificial When you sit down with an AI system and produce something-a decision, a document, a design, a strategy-after guiding its output, applying your judgment, redirecting when it goes wrong, and taking responsibility for what comes out the other end…: what, exactly, is artificial about that That is the question at the center of this book.The label 'artificial intelligence' may be the most consequential naming decision in the history of technology. It shapes how we regulate AI, how we govern it, how we use it, and most importantly, how we understand what we are doing when we work with it. And it may be getting the most important thing wrong.Danny Argudin argues that the word 'artificial' points at the wrong part of the system. Language models are not artificial thinkers. They are compressed patterns drawn from the full corpus of human thought-encoded mathematics, not invented sentience. What they produce when guided by a skilled human collaborator is not an artificial substitute for intelligence. It is intelligence extended.At the heart of the book is a distinction that changes everything: resident vs. non-resident intelligence.The resident intelligence is you. You have stakes. You will face consequences. You can be held accountable. You bring judgment that costs something when it is wrong.The non-resident intelligence is the AI. It has no skin in the game. It cannot be hurt by a bad decision. It processes without consequence.This is not a limitation to overcome. It is the design. And once you see the distinction clearly, the question answers itself.A composer who uses an orchestra is not producing artificial music. A designer who uses tools is not producing artificial design. A thinker who uses an AI is not producing artificial thought.The orchestra plays. The tools shape. The AI processes. And the human-present, accountable, directing, deciding-is the intelligence that makes all of it mean something.What You'll Find in This Book- Where the term 'artificial intelligence' came from-and what it was never meant to describe- What large language models actually are at a level that changes how you use them- Why the human-as-operator model is the wrong frame for AI collaboration- The resident vs. non-resident distinction and why it matters for accountability, governance, and daily practice- A new vocabulary for human-AI partnership: cognitive extension, not automation- What the future looks like when we get the framing rightWhat's So Artificial About AI is not a technical guide and not a hype manifesto. It is a reframing-careful, argued, grounded in the actual experience of working with these systems every day. By the end, the word 'artificial' will look different to you. And so will the partnership you're building.
Lingua: Inglese
Editore: Independently Published Mai 2026, 2026
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Your logs read clean. Your traces show successful execution. Every agent ran. Every call returned. The outputs are still wrong.This is the most common and least diagnosable class of failure in agentic AI systems: emergent, interaction-dependent, history-driven failures that do not show up…in any instrument designed for deterministic software. The pipeline is working. The chemistry is wrong.The Chemistry of Agentic Systems applies five chemical principles to multi-agent AI development, giving practitioners a diagnostic vocabulary for the class of failures that standard debugging cannot address.The five principles: Limiting Reagent: Every pipeline has a constraining resource. Adding more AI capacity cannot improve throughput beyond what that resource allows. Finding it - and it is rarely where the slowdown appears - is the first diagnostic step.Retrosynthesis: Most architecture failures are discovered three weeks into building. Planning backwards from the required final output, rather than forward from available tools, makes hidden gaps visible before they become reconstruction projects.Kinetic and Thermodynamic Control: The same pipeline, at different points in its life, requires different optimization modes. Applying sprint speed to architectural decisions produces fragile structure. Applying architectural caution to sprint deliverables produces missed windows. Knowing which mode is correct - and when the switch must happen - is a diagnostic skill.Assay and Purification: Threshold checks are proxies for quality measurement, not quality measurement itself. A pipeline that passes outputs forward without assaying their identity, concentration, contamination, stability, and traceability is a pipeline that propagates plausible garbage downstream. The five-dimension Purity Checklist makes assay practical.Autocatalysis: Agentic systems that capture and reuse their own outputs can improve their own performance over time. They can also degrade their own performance over time, when the feedback loop runs on contaminated products. Understanding which direction the loop is running - and why - determines whether the system is a compounding asset or a compounding liability.The book includes the Chemistry Diagnostic Sequence for reading failing systems, the Conflict Resolution Matrix for when the five principles point in different directions, the Repair Classification Guide for distinguishing chemistry-level repairs from patches that compound, and the Portfolio Chemistry Map for practitioners maintaining multiple systems simultaneously.Written for engineers, technical leads, and AI operations practitioners who already have systems running and need vocabulary precise enough to name what is going wrong, explain it to colleagues, and choose the intervention that addresses the cause rather than the symptom.
Lingua: Inglese
Editore: Independently Published Mai 2026, 2026
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 26,09
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - What if the best model for understanding AI is already inside your head The brain does not think in straight lines. It fires in parallel, prunes what it does not use, and rewires itself based on what it practices. Multi-agent AI systems work the same way - and once you see it, you cannot u…nsee it.In The Synaptic Theory of Agentic Systems, Danny Argudin maps ten neuroscience principles onto the mechanics of running agentic workflows: working memory, Hebbian learning, synaptic pruning, predictive coding, myelination, and more. Each chapter takes a mechanism the brain already uses and shows exactly how it appears - and fails - in a live AI operating system.This is not a theoretical book. It was written inside a real agentic OS, with real agents contributing to the chapters, real failures informing the lessons, and real parallels discovered through operation rather than imagination.You will walk away with: - A neuroscience vocabulary that makes agentic system behavior legible- Practical models for managing context windows, agent specialization, and memory degradation- A new way of thinking about coherence, drift, and recovery in multi-session AI programs- The specific parallel between myelinated neural pathways and optimized agent routingWhether you run one AI assistant or a galaxy of specialized agents, the synaptic model will change how you design, observe, and tune your systems.Part of the Danny Argudin non-fiction library on agentic AI systems.
Lingua: Inglese
Editore: Independently published, 2026
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
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EUR 17,72
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently published, 2026
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently published, 2026
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently published, 2026
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- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently published, 2026
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Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published, 2026
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. The SuperpositionHow Quantum Physics Secretly Explains Everything About AIPick up your phone. You are holding approximately nineteen billion transistors, each one three nanometers across. At that scale, classical physics stops working. Your phone runs on quantum mechanics - not as a backgro…und technical detail, but as the operating reality that determines whether the device functions at all.The Superposition follows this thread from the screen in your hand to the most contested questions in all of physics: what is the wavefunction? What happens during a measurement? Are there other worlds?Chapter by chapter, the book builds from the observable to the fundamental. The transistor in your pocket leads to the double-slit experiment - the experiment Feynman called the one that contains "the only mystery" of quantum mechanics. The double-slit leads to the wavefunction, Schrodinger's equation, and the probability interpretation that Max Born proposed and Schrodinger spent the rest of his life fighting. The wavefunction leads to entanglement, Bell's theorem, and the experimental results that ruled out Einstein's preferred resolution of the EPR paradox.The second half of the book examines what quantum mechanics teaches us about difficult problems in any domain. Decoherence - the way quantum systems lose their coherence through environmental interaction - illuminates why long AI sessions drift from their original intent. The measurement problem - the century-old open question of what constitutes a measurement and why it produces a definite outcome - maps precisely onto the design challenges of human oversight in AI systems. Quantum tunneling's threshold behavior offers a model for thinking about capability emergence. Many-worlds provides a cognitive architecture for handling genuine uncertainty. Quantum error correction demonstrates the principle of detecting errors without destroying the information you are trying to protect.These are structural analogies, not physical claims. AI systems are not quantum mechanical. But the patterns that quantum mechanics makes precise appear across many domains - and having precise names for them is useful for anyone building or studying systems that operate in regimes where classical intuition gives the wrong answer.The book is written for readers with no physics background and no mathematics beyond basic algebra. The equations appear in the chapter on the wavefunction, introduced with care, and interpreted in plain language. The historical narrative - Planck's reluctant quantization, Einstein's photoelectric effect, Schrodinger on holiday in Arosa, Bell's theorem derived in a sabbatical year - is told as the story it is: one of the most concentrated bursts of conceptual revision in the history of science.At the end, the reader holds the same phone they held at the beginning - and understands what was happening inside it all along. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. The infinite hotel at the edge of everything has never had a vacancy. Every room is occupied. And yet - when a new guest arrives - the desk clerk always makes room. The shift is simple: every guest moves one room forward, Room 1 opens, the new guest enters. The hotel was full before. The ho…tel is full now. It holds one more guest than before.This is Hilbert's Hotel. It is also the operating model of every well-designed AI system."The Agentic Hotel at the Edge of Infinity" uses the mathematics of the infinite - real mathematics, real theorems - to give practitioners a rigorous framework for understanding and building agentic AI systems that scale without artificial ceilings. Author Danny Argudin, who built and operates a multi-agent AI operating system, draws on two years of applied agentic development to translate formal mathematical results into design principles that practitioners can use starting today.The framework covers fourteen interconnected ideas: - The Hilbert Shift: how to design session handoffs so context compaction is lossless in operation - because the hotel always makes room, but only if the shift is done correctly - Cantor's Diagonal: why your agent registry will always have gaps, and how to turn the fallback rate from a failure metric into an oracle for what to build next - Zeno's Convergence Proof: why the WIP limit is not a throttle on ambition but a mathematical guarantee that the queue converges - Ramsey's Theorem: why agent subgroups organize themselves as the registry grows - structure appears whether you designed it or not - Conway's Gliders: how to recognize the recurring agent-chain patterns that no one designed but that consistently produce your best outcomes - Godel's Incompleteness Theorems: why the human review gate is not just a governance requirement but an epistemic necessity - the mechanism by which your system accesses truths about itself that no formal system can derive from withinAnd the vine: the theological and philosophical context that grounds the whole framework in a tradition that says the hotel's infinite capacity is not its own property but the echo of something inexhaustible from which it was built.The mathematics in this book is real. The applications are practical. The hotel always has room - and this book shows you how to build systems that inherit that property.For practitioners building multi-agent AI systems who want a rigorous framework, not just a metaphor. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,15
EUR 43,05 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Your logs read clean. Your traces show successful execution. Every agent ran. Every call returned. The outputs are still wrong.This is the most common and least diagnosable class of failure in agentic AI systems: emergent, interaction-dependent, history-driven failures that do not show up i…n any instrument designed for deterministic software. The pipeline is working. The chemistry is wrong.The Chemistry of Agentic Systems applies five chemical principles to multi-agent AI development, giving practitioners a diagnostic vocabulary for the class of failures that standard debugging cannot address.The five principles: Limiting Reagent: Every pipeline has a constraining resource. Adding more AI capacity cannot improve throughput beyond what that resource allows. Finding it - and it is rarely where the slowdown appears - is the first diagnostic step.Retrosynthesis: Most architecture failures are discovered three weeks into building. Planning backwards from the required final output, rather than forward from available tools, makes hidden gaps visible before they become reconstruction projects.Kinetic and Thermodynamic Control: The same pipeline, at different points in its life, requires different optimization modes. Applying sprint speed to architectural decisions produces fragile structure. Applying architectural caution to sprint deliverables produces missed windows. Knowing which mode is correct - and when the switch must happen - is a diagnostic skill.Assay and Purification: Threshold checks are proxies for quality measurement, not quality measurement itself. A pipeline that passes outputs forward without assaying their identity, concentration, contamination, stability, and traceability is a pipeline that propagates plausible garbage downstream. The five-dimension Purity Checklist makes assay practical.Autocatalysis: Agentic systems that capture and reuse their own outputs can improve their own performance over time. They can also degrade their own performance over time, when the feedback loop runs on contaminated products. Understanding which direction the loop is running - and why - determines whether the system is a compounding asset or a compounding liability.The book includes the Chemistry Diagnostic Sequence for reading failing systems, the Conflict Resolution Matrix for when the five principles point in different directions, the Repair Classification Guide for distinguishing chemistry-level repairs from patches that compound, and the Portfolio Chemistry Map for practitioners maintaining multiple systems simultaneously.Written for engineers, technical leads, and AI operations practitioners who already have systems running and need vocabulary precise enough to name what is going wrong, explain it to colleagues, and choose the intervention that addresses the cause rather than the symptom. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 29,34
EUR 43,05 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. What does it mean to call something artificial?When you sit down with an AI system and produce something-a decision, a document, a design, a strategy-after guiding its output, applying your judgment, redirecting when it goes wrong, and taking responsibility for what comes out the other end:… what, exactly, is artificial about that?That is the question at the center of this book.The label "artificial intelligence" may be the most consequential naming decision in the history of technology. It shapes how we regulate AI, how we govern it, how we use it, and most importantly, how we understand what we are doing when we work with it. And it may be getting the most important thing wrong.Danny Argudin argues that the word "artificial" points at the wrong part of the system. Language models are not artificial thinkers. They are compressed patterns drawn from the full corpus of human thought-encoded mathematics, not invented sentience. What they produce when guided by a skilled human collaborator is not an artificial substitute for intelligence. It is intelligence extended.At the heart of the book is a distinction that changes everything: resident vs. non-resident intelligence.The resident intelligence is you. You have stakes. You will face consequences. You can be held accountable. You bring judgment that costs something when it is wrong.The non-resident intelligence is the AI. It has no skin in the game. It cannot be hurt by a bad decision. It processes without consequence.This is not a limitation to overcome. It is the design. And once you see the distinction clearly, the question answers itself.A composer who uses an orchestra is not producing artificial music. A designer who uses tools is not producing artificial design. A thinker who uses an AI is not producing artificial thought.The orchestra plays. The tools shape. The AI processes. And the human-present, accountable, directing, deciding-is the intelligence that makes all of it mean something.What You'll Find in This BookWhere the term "artificial intelligence" came from-and what it was never meant to describeWhat large language models actually are at a level that changes how you use themWhy the human-as-operator model is the wrong frame for AI collaborationThe resident vs. non-resident distinction and why it matters for accountability, governance, and daily practiceA new vocabulary for human-AI partnership: cognitive extension, not automationWhat the future looks like when we get the framing rightWhat's So Artificial About AI? is not a technical guide and not a hype manifesto. It is a reframing-careful, argued, grounded in the actual experience of working with these systems every day. By the end, the word "artificial" will look different to you. And so will the partnership you're building. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Independently Published, 2026
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 29,34
EUR 43,05 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. What if the best model for understanding AI is already inside your head?The brain does not think in straight lines. It fires in parallel, prunes what it does not use, and rewires itself based on what it practices. Multi-agent AI systems work the same way - and once you see it, you cannot un…see it.In The Synaptic Theory of Agentic Systems, Danny Argudin maps ten neuroscience principles onto the mechanics of running agentic workflows: working memory, Hebbian learning, synaptic pruning, predictive coding, myelination, and more. Each chapter takes a mechanism the brain already uses and shows exactly how it appears - and fails - in a live AI operating system.This is not a theoretical book. It was written inside a real agentic OS, with real agents contributing to the chapters, real failures informing the lessons, and real parallels discovered through operation rather than imagination.You will walk away with: A neuroscience vocabulary that makes agentic system behavior legiblePractical models for managing context windows, agent specialization, and memory degradationA new way of thinking about coherence, drift, and recovery in multi-session AI programsThe specific parallel between myelinated neural pathways and optimized agent routingWhether you run one AI assistant or a galaxy of specialized agents, the synaptic model will change how you design, observe, and tune your systems.Part of the Danny Argudin non-fiction library on agentic AI 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.
