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Price distribution over 58 days • 1 price levels

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Most common price: £73 (58 days, 100.0%)

Price range: £73 - £73

Price levels: 1 different prices over 58 days

Description

Stochastic Futures (Volume II) Stochastic Futures: Agents, AGI, and the Mathematics of Control Gradient Descent into Madness — Volume II You survived the math. You trained the models. You stared into the loss curve and the loss curve stared back. Now it's time for the hard part. Stochastic Futures is the second volume of the Gradient Descent into Madness series — picking up exactly where Stochastic Minds left off and diving into the topics that define AI in 2026: agentic systems, safety and alignment, open research frontiers, and the myths and misinformation that dominate every online debate about artificial intelligence. This isn't a textbook that stops at "here's how transformers work." This is the one that asks: now that we've built these things, what happens next? And does anyone actually have a plan? What's Inside (Chapters 34–72): Part V — Agentic AI & the State of the Art (2026). Mixture of experts, vision transformers and multimodal models, efficient transformers, retrieval-augmented generation, agentic AI, fine-tuning and PEFT, model compression, and graph neural networks. The architectures and techniques powering production AI systems right now — explained with the same rigor and honesty as Volume I. Part VI — Responsible AI & Safety. Causal inference, federated learning, AI safety and alignment, interpretability, Bayesian deep learning, synthetic data, fairness and bias, and adversarial robustness. The stuff that keeps researchers up at night — because building powerful systems without understanding them is exactly as terrifying as it sounds. Part VII — Open Problems & Research Frontiers. Scaling laws, world models, neurosymbolic AI, quantum machine learning, continual learning, AI for science, green AI, governance and regulation, and the future of the field. An honest map of what we know, what we don't, and what we're still arguing about. Part VIII — Myths, Misinformation & Internet Philosophy. Will AI take all jobs? Is deep learning "just curve fitting"? Are we five years from AGI? Can machines be conscious? Is more data always the answer? Are transformers all you need? Doomers vs. accelerationists, the hype cycle, anthropomorphization, open vs. closed models, and the replication crisis. Every confident claim you've seen on social media — examined with actual evidence and mathematical precision. What Makes This Book Different: Goes beyond "how it works" to "what it means" and "what could go wrong" Treats AI safety and ethics with mathematical rigor, not just hand-waving Debunks myths with evidence instead of opinions Covers 2026-current research frontiers other textbooks haven't caught up to Same irreverent, honest voice as Volume I — meme boxes and all Written for undergraduates from every domain, not just ML researchers If Volume I taught you the science, Volume II teaches you why the science matters — and why getting it right might be the most important challenge of our generation. You don't need a PhD to read this book. You need curiosity, basic comfort with the material from Volume I, and a willingness to confront the fact that nobody — not the researchers, not the CEOs, not the pundits on Twitter — has all the answers. 2026 Edition. The research is current. The debates are real. The conclusion is still being written — by all of us.

Product Specifications

Format: paperback
ASIN: B0GQGHQTHB
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning > Generative AI
Domain: Amazon UK
Release Date: 26 February 2026
Listed Since: 27 February 2026

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Stochastic Futures: Agents, AGI, and the Mathematics of Control (The Stochastic Intelligence Series)

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It has never been this cheap. We have no record of a lower price.

Stochastic Futures: Agents, AGI, and the Mathematics of Control (The Stochastic Intelligence Series)

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Price Analysis

Description

Product Specifications

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