DP26005 The Publishing Explosion V01 250126

 In "The Coming Wave" (2023), Mustafa Suleyman and Michael Bhaskar argue that we are entering a period of exponential technological change defined by AI and synthetic biology. While the book is a broad geopolitical warning, Michael Bhaskar’s influence as a publisher is evident in the sections discussing the "Information Explosion" and Hyper-abundance.

The book is organized into four major parts. Below are detailed summaries for each, with a dedicated focus on the concept of Hyper-abundance.

Part I: Homo Technologicus

The Core Idea: Technology is not something humans do; it is what humans are.

This section argues that human evolution is inseparable from the "waves" of technology we create. From fire and stone tools to the printing press and electricity, every major wave follows a predictable pattern: it begins with a single breakthrough, undergoes rapid proliferation, becomes cheaper, and eventually becomes an invisible, foundational layer of society.

The authors explain that these waves are "containment-resistant." Once the "recipe" for a technology is out—whether it’s the design for a steam engine or the code for an LLM—it is almost impossible to put back in the bottle. This section sets the stage by showing that our current institutions (governments, laws, and publishers) are built on the logic of past waves, which moved slowly enough for society to adapt. The "Coming Wave," however, is different because it moves at digital speed while impacting the physical world of biology and atoms, creating a friction that our current systems may not survive.

Part II: The Next Wave (Including "Hyper-Abundance")

The Core Idea: The defining features of the new wave are asymmetry, hyper-evolution, and Hyper-abundance.

This is the heart of the book’s impact on the publishing and creative industries. The authors describe four features: Asymmetry (small actors having huge power), Hyper-evolution (tech improving itself), Omni-use (AI being used for everything), and Autonomy.

Deep Dive: Hyper-abundance

For Michael Bhaskar and the publishing world, the most disruptive force is the Hyper-abundance of content. Historically, the publishing industry acted as a "gatekeeper" because physical space, attention, and the ability to produce high-quality text were scarce. AI shatters this scarcity.

• The Death of the Gatekeeper: When an AI can "extract" the essence of a library and generate millions of new "books," "articles," or "reports" instantly, the value of a single piece of content drops toward zero.

• The Noise Problem: We are moving from an era of information "scarcity" to one of absolute "surplus." In a state of hyper-abundance, the challenge for a publisher is no longer producing content, but filtering it.

• Synthetic Competition: Authors are no longer just competing with other humans; they are competing with an infinite stream of synthetic content that is "good enough" for many readers. This "Coming Wave" of text threatens to drown out human voices in a sea of algorithmic noise, fundamentally breaking the economic model of traditional publishing.

Part III: States of Failure

The Core Idea: The "Grand Bargain" between the state and the citizen is breaking down.

Suleyman and Bhaskar warn that the hyper-abundance and power of AI will lead to "Fragility Amplifiers." In this section, they describe how the nation-state relies on having a monopoly on power and information. When AI allows a single individual to create a bioweapon or a small group to flood a country with "hyper-realistic" disinformation, the state loses its ability to protect its citizens.

For the publishing and media industries, this means the "truth" itself becomes a casualty of the wave. If AI can generate a hyper-abundant supply of "fake" books, "fake" news, and "fake" history, the very foundations of a shared reality crumble. The authors suggest that this could lead to "States of Failure," where governments are so overwhelmed by the speed and volume of the wave that they become paralyzed, unable to regulate the technology or protect the digital commons from being polluted by synthetic junk.

Part IV: Through the Wave (The 10 Steps)

The Core Idea: Containment is the "Great Dilemma," but it must be attempted.

The book concludes by acknowledging a terrifying paradox: if we don't contain AI, it could lead to catastrophe; but if we try to stop it too forcefully, we invite stagnation and lose the benefits (like curing cancer or solving climate change).

The authors propose a "10-step plan" for containment. This includes technical safety (building "off-switches" into AI), global treaties, and a "new social contract." For the world of knowledge and publishing, this means creating "watermarks" and "authentication systems" so we can tell the difference between a human-written book and an AI-generated one. They argue that we must move from a world of "open extraction" to one of "verified creation," where the digital commons is protected by new laws that recognize the value of human agency over machine-generated abundance.

Here is how the 10 steps to containment specifically apply to authors, publishers, and the future of copyright law in 2026.

The 10 Steps to Containment for Publishing

1. Safety: Technical Guardrails for Authors

This step focuses on "Safety by Design." In publishing, this means building AI models that have inherent "respect" for copyright. Instead of models that blindly extract data, "Safety" involves creating systems that can verify if a piece of text is a direct "memorization" of a copyrighted book before it is generated. It's about building a "kill switch" for plagiarism within the model itself.

2. Audits: Transparency of the "Extraction"

Suleyman and Bhaskar advocate for mandatory third-party audits. For authors, this means AI companies would be legally required to let auditors scan their training data. In 2026, this is manifesting as Transparency Reports, where publishers can finally see if their "closed" digital commons were used to train "open" models without permission.

3. Choke Points: Controlling the Hardware

The "Coming Wave" is powered by chips (Nvidia, etc.). The authors suggest using these hardware choke points to enforce rules. If a company is found to be mass-extracting and translating authors' works without licenses, regulators could theoretically restrict their access to the high-end computing power needed to run those models.

4. Makers: Critics as Builders

This step encourages those who are skeptical of AI to help build it. In publishing, this is seen in "Author-Led AI" projects. Instead of letting tech giants define the future, authors and publishers are building their own "Sovereign LLMs" that are trained only on licensed, high-quality literature, ensuring that the "Hyper-abundance" they produce is ethically sourced.

5. Businesses: Profit with Purpose

The authors argue that AI labs must move beyond "moving fast and breaking things." For the publishing world, this means a shift in the business model: AI companies should pay a "Digital Commons Fee" or royalty pool to the creators whose works make their models "smart" in the first place.

6. Governments: The New Copyright Act

Suleyman and Bhaskar warn that governments must "survive and reform." This applies directly to the 2026 AI Act and updated copyright laws. Governments are now moving toward a "Right to Remuneration," where "extraction" for commercial translation is no longer considered "Fair Use," but a licensed derivative work.

7. Alliance: Global Treaties on Content

Because the internet has no borders, an AI in one country can extract a book from another and translate it for a third. The authors call for an "International Treaty on AI." This would prevent "Copyright Havens"—countries that allow AI companies to steal books with impunity—by creating a global standard for digital IP.

8. Culture: Respecting Human "Spark"

This is a call for a cultural shift. We must decide that "human-made" has a value that "synthetic-abundant" does not. Just as the "Organic" label changed the food industry, a cultural movement for "Human-Authored" content helps publishers maintain a premium market in a sea of free AI text.

9. Movements: People Power

Containment requires a "grassroots" movement. We see this today in author strikes and class-action lawsuits. Suleyman and Bhaskar argue that it is the collective pressure of "The People" (the authors and readers) that will force tech companies to respect the digital commons.

10. The Narrow Path: Balance

The final step is the realization that we cannot ban AI, nor can we let it run wild. The "Narrow Path" for publishing involves using AI for the "boring" parts (metadata, distribution) while fiercely protecting the "human" parts (the original narrative, the emotional "spark").

The 2026 Solution: Watermarking & Provenance

A key practical outcome of these 10 steps is the rise of Digital Watermarking.

• For the Author: Every original work now contains "poison pills" or invisible digital markers that allow an author to prove in court that an LLM "extracted" their work.

• For the AI: Under 2026 regulations, any AI-generated translation must carry a "Provenance Tag," informing the reader that "This book was 90% generated by a machine based on the works of [Author Name]."

By following these 10 steps, the publishing industry moves from being "eaten" by the wave to "riding" it—using the efficiency of the machine to support, rather than replace, the human creator.

DP26004 Publishers Association - AI V01 250126

 The Publishers Association white paper "People Plus Machines: The Role of Artificial Intelligence in Publishing" (commissioned from Frontier Economics) is a seminal industry document. It moves away from the "AI vs. Humans" narrative and instead focuses on how AI serves as a tool for efficiency, protection, and growth.

The report is structured into several functional "thematic pillars" rather than traditional narrative chapters. Below is a detailed description of these core sections.

Section 1: Defining AI for the Publishing Sector

This opening section establishes a shared vocabulary. It moves beyond the "sci-fi" tropes of AI and defines the technology specifically through its application in the book and journal industries. It categorizes AI into "sensing, comprehending, acting, and learning," but narrows the focus to Natural Language Processing (NLP) and Machine Learning (ML).

The report explains that for publishers, AI isn't just one tool but a "taxonomy of technologies." This section emphasizes that the industry is at a "watershed moment." It provides a baseline understanding of how data—the raw material of publishing—is transformed into "mineable" formats. The focus here is on the transition from traditional digitization to "intelligent data," where the machines can actually understand the relationship between different texts, rather than just storing them as static images or PDFs.

Section 2: Content Acquisition and Development

This section addresses the "top of the funnel"—how publishers decide what to publish. It explores how AI is used to identify trends before they hit the mainstream. Large publishers are increasingly using algorithms to scan social media, self-publishing platforms, and academic archives to "extract" potential bestsellers or breakthrough research topics.

Beyond just finding new authors, this chapter describes the use of AI in peer review and content assessment. For academic publishers, AI tools can automatically detect plagiarism, check the validity of scientific citations, and even suggest appropriate reviewers for a manuscript. In consumer publishing, it discusses "predictive analytics," where AI helps editors understand which genres are growing and which are saturated, effectively acting as a data-driven "editorial assistant" that mitigates the financial risk of signing a new book.

Section 3: The Production and Editorial Value Chain

This is the most practical section of the report, detailing how AI "supercharges" the labor-intensive middle of the publishing process. It breaks down the shift from manual copy-editing to augmented editorial workflows. Tools are described that not only check grammar but also "paraphrase" for readability, automate layout and typesetting, and handle metadata tagging.

Metadata is a major focus here; the report explains that AI can automatically generate keywords and descriptions for books, making them much more "discoverable" in the digital commons of Amazon or Google. This section also highlights the rise of synthetic narration for audiobooks, noting how AI can produce audio versions of "backlist" titles that were previously too expensive to record with human voice actors. The central theme here is efficiency: freeing human editors from "routine research tasks" so they can focus on high-level creative collaboration with authors.

Section 4: Marketing, Sales, and Reader Engagement

This section focuses on the relationship between the book and the reader. It describes how AI enables "hyper-personalization." Instead of broad marketing campaigns, publishers use AI to analyze reader behavior—tracking not just what people buy, but what they "skim, skip, or highlight" in their e-readers.

The report details how this data loop allows for adaptive learning platforms in the education sector, where textbooks literally change their difficulty level based on a student's performance. In the consumer space, it looks at how AI-driven chatbots and recommendation engines are replacing traditional "hand-selling" in bookstores. The goal described is a "tighter link between audience needs and publishing output," ensuring that the right book reaches the right reader at exactly the right time through algorithmic precision.

Section 5: Rights, Intellectual Property, and Ethics

The final major section tackles the "thorny" issues of the AI era. It explores the dual nature of AI in Intellectual Property (IP): how AI can be used to protect IP (by scanning the web for pirated copies or copyright infringements) and how AI poses a threat to IP (by being trained on copyrighted works without permission).

The report advocates for a "clear legal framework" where human creativity and machine innovation are seen as complementary. It touches on the ethics of "transparency," arguing that publishers must be open about when and how AI is used in the creation of a book. This section concludes with the "People Plus Machines" philosophy: that while AI can mimic tone and structure, the "narrative arc" and the "soul" of a best-seller still require a human heart. It positions the human role not as a worker to be replaced, but as a "curator and validator" of machine-generated outputs.

DP26003 LLMs and the Original Author Copyright V01 250126

 In "How AI Ate the World", Chris Stokel-Walker addresses the subject of Large Language Models (LLMs) and their relationship with authors' works—specifically the phenomenon of machines "extracting" or replicating copyrighted material across languages—through the lens of copyright, training data, and the loss of human agency.  

While the book covers many aspects of AI, the specific subject of LLMs extracting or "remixing" original works into translated versions can be summarized through these three key themes explored by Stokel-Walker:

1. The "Ingestion" of the Digital Commons

Stokel-Walker describes how LLMs were built by scraping massive amounts of text from the internet and digitized libraries (the "Shadow Libraries").

• The Extraction Process: He explains that AI doesn't just "read" books; it deconstructs them into mathematical vectors. This allows the AI to "extract" the style, plot, and even specific phrasing of an author and reproduce it in any language the model has been trained on.

• The Author's Loss: For an author, this means their work is being used to create "synthetic competitors"—translated versions of their own ideas that they did not authorize and for which they receive no royalties.

2. Machine Translation as a "Double-Edged Sword"

The book traces the history of translation from Cold War clunky machines to modern LLMs.  

• The Benefit: AI allows a book to be translated into dozens of languages instantly, potentially opening up global markets for indie authors.  

• The Extraction Issue: Stokel-Walker highlights the "flattening" of language. When an AI extracts a work to translate it, it often misses the cultural nuance, sarcasm, and "soul" of the original author. It creates a "hollowed-out" copy that can flood markets, devaluing the original human-translated work.  

3. The Legal "Enclosure" of Literature

Stokel-Walker discusses the legal battles (such as those involving the Authors Guild) where writers are fighting back against their work being used as "training fuel."

• Copyright Infringement: The book explores the argument that if an AI can "extract" enough of an author's unique voice to produce a translated sequel or a similar book, it has effectively stolen the "Code" of that person's creativity.

• Derivative Works: He raises the concern that these AI-generated translations are technically "derivative works." In traditional publishing, an author owns the translation rights; in the "AI-eaten" world, those rights are being bypassed by users who use LLMs to bypass the traditional gatekeepers.

The "Content Crisis"

The core of Stokel-Walker's argument is that we are moving toward a "Content Crisis" where the sheer volume of AI-extracted and translated works will make it impossible for human authors to be discovered. He warns that if we allow LLMs to freely extract and remix the digital commons of literature, we risk a future where "new" books are just translated mashups of everything that came before them.

DP26002 Books on AI Publishing V01 250126

 Books focusing specifically on the impact of AI on the publishing industry range from technical guides for authors to deep philosophical investigations into how algorithms are reshaping the written word.

Here are the most relevant titles:

Industry-Specific Guides

• The AI Revolution in Book Publishing by Thad McIlroy (2024, revised 2025): This is considered the definitive text for industry professionals. It covers how AI affects the entire "publishing value chain," from how manuscripts are acquired to automated marketing and the production of AI-narrated audiobooks.

• The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma by Mustafa Suleyman and Michael Bhaskar (2023): While this book covers AI broadly, it is co-authored by Michael Bhaskar, a noted writer and publisher. It contains significant insights into how "hyper-abundance" of content will disrupt traditional publishing gatekeepers.

The Impact on Writing & Creativity

• The Creativity Code: How AI is Learning to Write, Paint and Think by Marcus du Sautoy (2020): This book explores the fundamental question of whether AI can truly be creative. It examines the impact on literature and whether a machine can ever replicate the "spark" required to write a prize-winning novel.

• How AI Ate the World by Chris Stokel-Walker (2024): This book focuses heavily on the "content crisis"—how LLMs (Large Language Models) are training on human-written books and then generating billions of words that threaten to drown out human authors in digital marketplaces.

Critical & Ethical Perspectives

• Supremacy: AI, ChatGPT and the Race that Will Change the World by Parmy Olson (2024): Winner of the FT Business Book of the Year, this tracks the corporate war between OpenAI and Google. It is essential for understanding the "Enclosure" of the digital commons and how the data used for publishing is being centralized by big tech.

• Code Dependent: Living in the Shadow of AI by Madhumita Murgia (2024): While we discussed its chapters earlier, this book is vital for publishing because it examines the human labor behind AI. It looks at the "data labelers"—the people paid pennies to clean and categorize the very text that AI then uses to "write" its own content.

Future Scenarios & Reports

• "People Plus Machines: The Role of AI in Publishing": While technically a white paper by the Publishers Association, it is often cited alongside these books as the primary roadmap for how the UK and US publishing sectors are integrating AI into editorial workflows.

DP26001 Sunday Times Book Critic - John Carey (RIP) V01 040126

 Three reviews that show how John Carey’s wit opened a new critical chapter

Biting insights flow through these pieces by the chief literary critic of The Sunday Times who died last month

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Shakespeare’s Wife Germaine Greer, 2007
It is impossible to think of two minds more different than Germaine Greer’s and Shakespeare’s. The leading quality of Greer’s mind is opinionatedness, whereas Shakespeare, so far as we can tell, had no opinions. He vanished into his plays, and trying to retrieve what he thought on any subject is like harvesting shadows.

This is frustrating for Greer, since her aim in her new book is to pin down Shakespeare’s opinion about marriage, specifically his own. Only the barest facts are known for certain. When he married Ann Hathaway, a local farmer’s daughter, in 1582, he was 18, she was 26 and three months pregnant.

Susanna, their first child, was born in May 1583, and twins, Judith and Hamnet, in February 1585.

Before or soon after that Shakespeare probably left Stratford, and by 1592 he was already well known as an actor and dramatist in London, where he spent most of his married life. When he made his will in March 1616, a month before his death, his wife was not mentioned at all in the first draft, and a redraft left her his secondbest bed.

Some scholars (most of them, Greer notes accusingly, male) have taken these facts to mean that Shakespeare was trapped into marriage by a designing older woman; that he was frogmarched to the altar by her family; that, like many women of her class, she was probably illiterate, and certainly unable to appreciate her husband’s greatness.

Greer is convinced that, on the contrary, Shakespeare wooed Ann, not vice versa; that she proved a good, true wife, enjoying her husband’s love and respect; and that she took a keen interest in his writing, and was quite possibly instrumental in getting the First Folio of his works printed after his death.

Since there is little or no evidence to support these claims, their furtherance calls for considerable ingenuity on Greer’s part. She suggests that The Comedy of Errors, with its moving depiction of wifely loyalty, reveals Shakespeare’s “attitude to marriage”, so he would be unlikely to have treated Ann in the way her denigrators allege. The weakness of such arguments is obvious — you might, with just as little cogency, select The Taming of the Shrew as showing Shakespeare’s attitude to marriage — so most of Greer’s book takes a different tack, and contends that Ann was a highly successful woman in her own right, so Shakespeare should have been proud of her, even if he was not, though he probably was.

Exactly what she was successful at is difficult to decide. Greer thinks she might have been a successful moneylender. The one surviving document that may give a clue to her business activities, if she had any, is the will of the Hathaway family’s shepherd, which says she owes him 40 shillings.

This does not sound like successful moneylending, but perhaps, Greer thinks, the shepherd entrusted the money to Ann’s safekeeping, which could mean she was a successful banker.

Alternatively, she might have been a farmer or a cheesemaker, a mercer or a haberdasher, a basket weaver or a lace maker or a stocking knitter.

Wherever Ann’s success lay, she made enough money, Greer thinks, to bring up her family without her husband’s help (though why he should not have helped her if she enjoyed his love and respect is not quite clear) and probably accumulated a lot more besides.

Quite possibly, in Greer’s view, Ann, not Shakespeare, bought New Place. It is true that no papers relating to Ann’s remarkable career have come down to us. But then, Greer reminds us, paper was scarce, and old documents were used for all sorts of menial purposes, and there were a lot of mice about.

Maschler’s comments are uniformly banal 

The uncertainty of the whole situation allows Greer to fill her book with vast amounts of extraneous material. There are lengthy digressions on Elizabethan farming, cheesemaking, haberdashery and Ann’s other supposed occupations, packed with archival detail about the pigs, hens, household effects and genealogies of a great many people who, as Greer is perfectly willing to accept, may have nothing to do with Ann or Shakespeare at all.

In the same spirit there are sections on Elizabethan cottages, in case the Shakespeares ever lived in one, though they probably did not, and a stomachchurning excursion on venereal disease and its treatment, on the off-chance that Shakespeare suffered from it, although there is no evidence he did.

Threading this maze of blind alleys is the sort of reading experience that brings vividly to mind the many more useful and enjoyable things you might be doing.

Sapiens: A Brief History of Humankind
Yuval Noah Harari, 2014
Sapiens is the sort of book that sweeps the cobwebs out of your brain. Its author, Yuval Noah Harari, is a young Israeli academic and an intellectual acrobat whose logical leaps have you gasping with admiration. That said, the joy of reading him is not matched by any uplift in his message, which is relentlessly accusatory and dismaying.

His book presents a brief history of life on earth, starting with the big bang and ending 1,000 years in the future, by which time, he predicts, Homo sapiens will be extinct, because science will have replaced us with genetically engineered immortals and “supercyborgs”, part human, part machine, with faculties we can’t even imagine.

The disappearance of oldstyle humans is not, it is clear, a prospect he much regrets, for on his reckoning we have proved the most destructive species ever to plague the planet. Almost all the facts in the human story are contested, but, as Harari tells it, our remote ancestors lived peacefully among the other animals for many millenniums until about 70,000 years ago when Homo sapiens developed superior cognitive powers and, crucially, invented language.

No one knows how we alone managed this. But it was language that enabled us to co-operate, organise and become the dominant animal. From their African homeland prehistoric humans spread across the globe, colonising Australia 45,000 years ago, where they became the Indigenous Australians, then North and South America, where they became the Paleo-Indians.

Wherever they went they spread destruction, hunting the larger mammals to extinction. As Harari vividly puts it, we obliterated half the planet’s large-mammal species before we got round to inventing the wheel.

A second wave of devastation came with the invention of agriculture around 10,000 years ago.

Clearing land for the cultivation of cereals meant destroying the habitats of countless animal, bird and plant species, and reinforced humanity’s claim to be the deadliest organism ever. In Harari’s view, agriculture was also a tragedy for humans.

With agriculture came private property, social and sexual inequality, greed and exploitation. What had been close-knit, self- helping hunter-gatherer groups were replaced by a social system in which the majority were serfs or slaves, ruled by despots who owned the land.

Harari does not claim to be original in identifying the invention of agriculture as a world-changing disaster, and, in fact, the credit for this idea seems to belong to Jean- Jacques Rousseau, whose Discourse on the Origin of Inequality put forward almost exactly the same argument in 1754. Since then, research has tended to confirm the disaster scenario. Quite apart from introducing social inequalities, agriculture, it seems, led to a steep decline in the standard of living, because it required full-time labour whereas huntergatherers, it is estimated, spent less than 20 hours a week getting food.

Harari would like to believe that, in addition to their other advantages, hunter-gatherers were happier than we are. You can see why the thought attracts him. It would be a fitting payoff for our ecological mayhem. However, for once his argument stalls, and peters out in metaphysical niceties. Quantifying happiness seems a patently daft idea, which is no doubt why historians have steered clear of it, as Harari complains they have.

Mostly, though, Harari’s writing radiates power and clarity, making the world strange and new. His central argument is that language has not just made us top animal, it has also enmeshed us in fictions. Myths, gods and religions appeared with the advent of language, and are enormously strong. Fictions such as Christianity and nationalism can bind millions together in a common cause, and people die for them.

Humans, Harari observes, are the only animals that believe in vastly powerful entities that they have never seen, touched or smelt, and that is language’s fault. 

Publisher 
Tom Maschler, 2005
Tom Maschler is not prone to false modesty. He states frankly that when he was chairman of Jonathan Cape it was the best literary publishing house in Britain.

“We had the best authors, the best promotions and our production was the best.” In one of the many photographs of himself that grace this memoir he wears a T-shirt identifying him as “the world’s greatest publisher”.

Others show him posing with the rich and famous, but in one, taken on the eve of the 1995 Booker prize, he is holding up a 65kg tuna, caught in the Indonesian ocean. You cannot help feeling sorry for the fish. It probably had little interest in books, and it was sheer bad luck that it swam into the great publisher’s orbit.

All the same, it provides an apt emblem for Maschler’s career, since landing big fish has mattered to him more than anything else, and his book is laid out as a series of sections, each devoted to a single author from the Cape list. There is no denying that it is an impressive haul. Cape introduced Gabriel García Márquez, Thomas Pynchon, Joseph Heller, Tom Wolfe and Kurt Vonnegut to British readers. Doris Lessing, John Fowles, Arnold Wesker, Roald Dahl, Ian McEwan, Julian Barnes and Martin Amis also became Cape authors under Maschler. So did Salman Rushdie, though he defected when Penguin outbid Cape for The Satanic Verses — a lucky break for Cape, given the whirlwind it stirred up.

With a cast of this distinction, Maschler’s book should have been the literary event of the decade, providing intimate insight into the shaping spirits of contemporary literature.

Instead, it is an embarrassment. He keeps telling us what scintillating talkers his authors were, yet he records virtually nothing of what they said. Arthur Miller’s “conversation flowed”, he remembers, but the only detail that sticks in his mind is that he had big feet. David Hockney, he assures us, was “always ready to talk seriously about art”, but not a single remark comes our way. Was Maschler, you start to wonder, deaf? He admits, late in the book, to being hard of hearing. Maybe the handicap was long term.

Another problem is his style, which, for someone who has honed his wits on the foremost penmen of the era, is strangely ponderous.

The Frankfurt Book Fair, he tells us, “takes place in Frankfurt, so that if I wish to attend, I am obliged to go to Germany”. Quite so. It is as well to get these things straight before you start out.

His comments about books are uniformly banal. Of Rushdie’s Midnight’s Children he reveals: “The novel belongs firmly to the literature that has been called ‘magic realism’.” Barnes’s Flaubert’s Parrot “is both highly original and extremely entertaining”. Apparently, when Barnes gave a dinner party for Maschler it was noticed, halfway through, that the host had disappeared, and he was found fast asleep in bed. It is a reaction to Maschler’s company that readers of this book will readily understand.

DP25033 Book Specifications. V01 111225

 How to Choose the Right Trim Size and Paper for Your Book

If you’re self-publishing, trim size and paper choices aren’t just technical details—they shape how your book looks, feels, and even how much it costs to print and ship.

Here’s how to make the right choices:

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**Trim Size Basics**

Trim size refers to the final dimensions of your book. The most common for trade paperbacks is 6” x 9”. That’s standard, but you can choose others depending on genre and audience.

- **5.5” x 8.5”** – Slightly smaller and more compact. Good for fiction.

 - **6” x 9”** – Standard for nonfiction, self-help, and memoir.

 - **8.5” x 11”** – Ideal for workbooks, planners, or illustrated books.

Your trim size affects page count and printing cost—smaller trim = more pages.

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**Paper Options**

Amazon KDP and IngramSpark both offer a few key options:

- **White paper** – Best for nonfiction and text-heavy books. It looks crisp and professional.

 - **Cream paper** – A softer look, often used for novels and memoirs. Easier on the eyes.

 - **Color printing** – Required for full-color books like children’s books or workbooks, but much more expensive.

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**Other Details That Matter**

- **Bleed vs. No Bleed** – Bleed allows your content or background to run to the edge of the page.

 - **Ink type** – Black & white vs. full color. Keep your expenses low unless color is necessary.

 - **Finish** – Matte or glossy cover? Matte feels modern; glossy is more vibrant.

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**Action Step:** 

 Check similar books in your genre. What trim size and paper do they use? Choose what aligns with your content and your reader’s expectations.