SKU: 255708302

Want: Sexual Fantasies By Anonymous

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Description

Want: Sexual Fantasies By AnonymousWant: Sexual Fantasies By Anonymous A collection of sexual fantasies from women around the world, Want is a revelatory, sensational and game changing exploration of women's sexuality that asks, and answers: How do women feel about sex when they have the freedom to be totally anonymous? THE INSTANT NO. 1 SUNDAY TIMES BESTSELLER 'Want makes for addictive reading . . . compelling' Guardian 'I just loved reading it. Its exceptional' Fearne Cotton, Happy

Want: Sexual Fantasies By Anonymous

A collection of sexual fantasies from women around the world, Want is a revelatory, sensational and game-changing exploration of women's sexuality that asks, and answers: How do women feel about sex when they have the freedom to be totally anonymous?

THE INSTANT NO. 1 SUNDAY TIMES BESTSELLER
'Want makes for addictive reading . . . compelling' Guardian
'I just loved reading it. It’s exceptional' Fearne Cotton, Happy Place
'An empowering project' Stylist
'Extremely sexy . . . Want is the horny manifesto your TBR list will thank you for' Cosmopolitan

What do you want when no one is watching?
What do you want, when the lights are off?
What do you want, when you are anonymous?

When we talk about sex, we talk about womanhood and motherhood, infidelity and exploitation, consent and respect, fairness and egalitarianism, love and hate, pleasure and pain. And yet so many of us don’t talk about it at all.

In this groundbreaking book, Gillian Anderson collects and introduces the anonymous sexual fantasies of women from around the world (along with her own anonymous submission). They are all extraordinary: full of desire, fear, intimacy, shame, satisfaction and, ultimately, liberation. From dreaming about someone off-limits to conjuring a scene with multiple partners, from sex that is gentle and tender to passionate and playful, from women who have never had sex to women who have had more sex than they can remember, these fantasies provide a window into the most secret part of our minds.

Want reveals how women feel about sex when they have the freedom to be totally themselves.

'Want makes for addictive reading . . . compelling' - Guardian

'I just loved reading it. It’s exceptional' - Happy Place

'Want is an intriguing cabinet of curiosities showcasing the sheer glorious variety of female desire; at a time when women’s freedom of expression and agency is under threat in so many places, any platform that allows us to speak up about an aspect of our lives that is still frequently veiled in shame is to be applauded' - Observer

'That trajectory and sense of self is something Anderson touches on in Want, describing how throughout her life, her feelings about sex and her sexuality have not been static entities' - Marie Claire Australia

'An empowering project' - Stylist

'Extremely sexy . . . Want is the horny manifesto your TBR list will thank you for' - Cosmopolitan

'Every human sexual desire is finally mysterious, unknowable, but there is no doubt that across the ages women’s desire has been perceived as dangerous . . . Anderson allows those desires to speak' - Financial Times

'Queen of the bisexuals Gillian Anderson, aka Mother, aka the woman we all either want to be, or be with, or both – has just dropped arguably the hottest new book of the year (in more ways than one)' - Pink News

'You might have the same question I did: Would a book loosely patterned on an erotic bestseller published 50 years ago feel relevant in an age when every manner of sexual imagery and performance, real-life hookups and kink are available in the palm of our hands (so to speak) with a swipe, tap or text? The answer is a definitive yes' - Washington Post

'Trailblazing . . . what makes Want even more innovative is its inclusivity, with letters from queer women, trans women and non-binary people.' - Gay Times

SPECIFICATIONS:

Author:Gillian Anderson - Джиллиан Андерсон

Publisher:Bloomsbury

Language:English

Publication Date:2025

Number of pages:400 pst

Format:Paperback

Width:129 mm / 5,1'

Height:198 mm / 7,8'

Weight:300 g

ISBN:9781526657909

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SKU: 255708302

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4.6 ★★★★★
Based on 23 reviews
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Product Reviews
O
Om S
Charlottesville, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Whiting, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Pawtucket, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
New York, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Port Orchard, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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