Fiction Books on AI

• I, Robot
• Do Androids Dream of Electric Sheep?
• 2001: A Space Odyssey
• Neuromancer
• The Moon Is a Harsh Mistress
• Klara and the Sun
• The Murderbot Diaries
• The Lifecycle of Software Objects
• Ancillary Justice
• Daemon
• Machines Like Me
• A Closed and Common Orbit
• A Psalm for the Wild-Built
• Bicentennial Man
• The Silver Metal Lover
• Sea of Rust
• We Are Legion (We Are Bob)
• R.U.R
• Blade Runner2: The Edge of Human
• Robopocalypse
• The Fear Index
• Autonomous
• Walkaway
• The Culture series
• Children of Time
• The Illustrated Man
• Blindsight
• The Book of M
• Speak
• The Mother Code
• Annie Bot
• Accelerando
• The Metamorphosis of Prime Intellect
• The Three-Body Problem
• Infomocracy
• The Corporation Wars
• Project Hail Mary
• Scythe
• The Diamond Age: Or, A Young Lady's Illustrated Primer
• Singularity Sky
• Diaspora

Open Source Rich Editors

• Quill
• Tiptap
• Slate
• Lexical
• ProseMirror
• Editor
• Summernote
• Trix
• Pell
• Draft
• Remirror
• CKEditor

Free Encyclopedias and Aggregators

• Citizendium
• Internet Encyclopedia of Philosophy
• Stanford Encyclopedia of Philosophy
• Scholarpedia
• Wikipedia
• Encyclopedia
• Britannica
• FreeDictionary
• Reference
• FactMonster
• Infoplease

Academic Torrents

Academic Torrents

GNN for Story Generation

The art of storytelling, a cornerstone of human communication, is increasingly finding itself at the intersection of artificial intelligence. While traditional language models have made strides in text generation, they often struggle with the intricate web of relationships and dependencies that define a compelling narrative. Enter Graph Neural Networks (GNNs), a powerful tool from the realm of geometric deep learning, offering a novel approach to story generation by explicitly modeling the underlying structure of a story. 

At its core, a story is a network of interconnected entities: characters, events, locations, and their complex relationships. These relationships, often dynamic and multifaceted, form the backbone of the narrative. Traditional sequential models, while adept at capturing local dependencies, struggle to maintain coherence across longer stretches of text, where these relational structures are paramount. GNNs, however, excel at representing and processing such relational data. 

GNNs operate on graph-structured data, where nodes represent entities and edges represent their connections. By employing message-passing mechanisms, GNNs allow nodes to exchange information with their neighbors, effectively learning representations that capture the intricate relationships within the graph. In the context of story generation, this translates to modeling the interactions between characters, the causal links between events, and the evolving dynamics of the plot. 

One promising avenue is the use of Relational GNNs (RGNNs). Stories are rarely composed of singular relationships; instead, they are woven from a tapestry of interactions, such as friendship, rivalry, causality, and spatial proximity. RGNNs, designed to handle graphs with multiple edge types, can effectively model these diverse relationships, allowing the model to understand and generate more nuanced and coherent narratives. For example, an RGNN can simultaneously represent the fact that "character A is friends with character B" and "event X caused event Y," enabling the model to capture the complex interplay of these relationships. 

Furthermore, integrating GNNs with Transformer architectures offers another powerful approach. Transformers, renowned for their ability to capture long-range dependencies, can complement GNNs' relational modeling capabilities. By combining the strengths of both architectures, we can create models that not only understand the local interactions between entities but also maintain global coherence throughout the story. Attention mechanisms, integral to Transformers, can further enhance the model's ability to focus on the most relevant relationships for generating the next part of the narrative. 

The dynamic nature of stories presents another challenge. As the plot unfolds, new characters may emerge, relationships may evolve, and the overall structure of the narrative may shift. Dynamic GNNs, designed to handle graphs that change over time, are particularly well-suited for this task. These models can capture the evolving interactions between entities, allowing for the generation of more dynamic and engaging stories. 

Finally, incorporating external knowledge graphs, such as ConceptNet or WordNet, can enrich the semantic understanding of GNNs. These knowledge graphs provide valuable information about the relationships between concepts, enabling the model to generate more meaningful and coherent narratives. For instance, knowing the semantic relationship between "forest" and "danger" can help the model generate more evocative descriptions and plot points. 

While GNN-based story generation is still in its nascent stages, its potential is undeniable. By explicitly modeling the relational structure of narratives, GNNs offer a powerful tool for generating more coherent, engaging, and dynamic stories. As research in this area progresses, we can expect to see the emergence of increasingly sophisticated models that can weave narratives with a level of complexity and creativity that rivals human storytelling.

Folklore and AI

The rise of AI is not merely a technological revolution, but a profound shift in how we understand creativity itself. Consider the field of AI-generated folklore, where algorithms are weaving new myths and legends, drawing upon the vast tapestry of human storytelling. These AI storytellers are not simply regurgitating existing narratives; they are synthesizing patterns, archetypes, and emotional cues to create original tales that resonate with our deepest cultural instincts. 

This isn't about replacing human authors, but rather exploring the uncharted territory of collaborative creativity. AI can act as a digital muse, providing unexpected plot twists, generating evocative imagery, and even suggesting alternative narrative structures. Imagine an AI that can analyze the emotional arc of thousands of folktales and then use that understanding to craft a story that evokes a specific emotional response in the reader. 

The implications are far-reaching. From interactive storytelling experiences to the creation of culturally diverse narratives, AI-generated folklore has the potential to enrich our understanding of human storytelling. However, it also raises questions about authorship, authenticity, and the very nature of creative inspiration. As AI becomes more sophisticated, we must grapple with the ethical and philosophical implications of its role in shaping our cultural narratives, ensuring that these new digital myths serve to enhance, rather than diminish, the human experience.

Automation of Scientific Literature Review with AI

The exponential growth of scientific literature poses a significant challenge for researchers, particularly in conducting comprehensive meta-analyses. AI is automating this process, accelerating the synthesis of knowledge across vast datasets. Natural language processing (NLP) algorithms can efficiently scan and analyze thousands of research papers, extracting relevant data points, methodologies, and conclusions.

Machine learning models can identify patterns and trends across studies, flagging potential biases and inconsistencies. This enables researchers to quickly identify key findings and assess the overall evidence base. Furthermore, AI can generate automated summaries and visualizations of complex research, facilitating knowledge dissemination and accessibility.

This AI-driven approach is particularly valuable in fields like medicine and public health, where timely synthesis of research is crucial for evidence-based decision-making. By automating the tedious aspects of literature review, AI frees up researchers to focus on critical analysis and interpretation, accelerating the pace of scientific discovery. However, transparency and validation of AI-generated summaries are essential to ensure accuracy and avoid perpetuating biases within the literature.

Illuminate

Illuminate

How to Read an Academic Paper

How to Read an Academic Paper (and Tell Whether it's Bullshit)

OpenReview.net

OpenReview.net

Evolution of Narrative Fiction

Evolution of Narrative Fiction

Top Philosophy Books on AI

• Minds and Machines
• Computing Machinery and Intelligence
• Superintelligence: Paths, Dangers, Strategies
• Human Compatible: Artificial Intelligence and the Problem of Control
• Life 3.0: Being Human in the Age of Artificial Intelligence
• The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake the World

Top Conspiracy Books

• The Assassination of President Kennedy: The Case for Conspiracy
• JFK and the Unspeakable
• The Bermuda Triangle
• The Roswell Incident
• The Phoenix Program
• The Secret Team
• The Men Who Killed Kennedy
• The Hidden History of the Human Race
• The Fourth Phase of Matter
• The Montauk Project: Experiments in Time
• The Philadelphia Experiment
• The Illuminati: Symbolism in Secret Societies
• The Protocols of the Elders of Zion
• The Turner Diaries
• The New World Order
• Silent Weapons for Quiet Wars
• Behold a Pale Horse
• Conspiracy Theories: A Compendium of History's Greatest Mysteries and More Recent Cover-Ups
• Conspiracy Theories: The greatest cover-ups and unsolved mysteries

conspiracy theories

Top Fantasy Books

• The Lord of the Rings
• The Wheel of Time
• A Song of Ice and Fire
• The Kingkiller Chronicle
• The First Law
• The Broken Earth
• The Gentleman Bastards
• The Earthsea Cycle
• The Farseer Trilogy
• The Dresden Files
• The Stormlight Archive
• The Night Angel Trilogy
• The Priory of the Orange Tree
• The Fifth Season

Top Scifi Books

• Dune
• Neuromancer
• The Hitchhiker's Guide to the Galaxy
• The Martian
• Ancillary Justice
• The Expanse
• The Left Hand of Darkness
• Hyperion
• Red Mars
• The Three-Body Problem
• The Dispossessed
• Ender's Game
• The Mote in God's Eye
• Snow Crash

Top Scifi Books 2024

• The Mercy of Gods
• Service Model
• Beautyland
• Absolution
• The Book of Elsewhere
• The Ten Percent Thief
• In Ascension
• System Collapse
• Saga: Volume 11
• Chain Gang All Stars
• The Mountain in the Sea
• Some Desperate Glory
• Corey Fah Does Social Mobility
• The Dispossessed

Paper QA

Paper QA

Taxonomy of Research Publications

 

Dokieli

Dokieli

The Satanic Verses

'The Satanic Verses' can be downloaded from the archive for free. Don't bother buying the book as it is not a good read. In fact, it is garbage from any sense of the word. The entire book is filled with embedded hate speech. The author dispels many of his hate through the personification of characters. Not only does he hate everything and everyone, he seems to also hate himself. The book was written to offend and provoke, much of which can be seen from the quote at the beginning of the book from Daniel Defoe. The more significant bit of hate speech is directed towards women that not only incites hate but also violence. In 1989, an incident occurred against a woman in New York where six individuals after reading passages from the book went out to put it into action that conjured up their imaginations. The book not only hates on blacks, but also jews, brits, whites, women, hindus, and across the protected characteristics. In US, hate speech laws don't really exist much outside of incitement. However, in UK/EU the hate crime law can provide a way towards censorship of the book. After all freedom of speech is not absolute. One finds it surprising that there is a lot of focus around the hate for a given religion while much of the other forms of hate in the book are completely overlooked. Perhaps, this is because of racism and bigotry shared in much of the western societies towards Islam and the book provides a weapon to incite hate towards it. But, it is shocking that many do not notice the level of hate speech mentioned in the book towards women. The author is an opportunist. Who wanted to gain notoriety by being as controversial as possible. In fact, a lot of the writing is in broken sentences and swearing that do not amplify any form of literary quality. The author cannot even make up his mind whether he wants to swear in hindi or english. It reads like an indian version of an urban dictionary. This leads one to wonder why on earth would someone want to consider it for the Booker Prize. The book sales is an indicator of how it is viewed in society. Book sales increased after the fatwa. They further increased after the attack on the author. But, in between such events book sales were virtually unheard of. Many people who support the book are jumping on the bandwagon of crowd follower mentality and have never even read the book. However, the man that attacked the author may also be exercising their freedom of speech and expression. This could be compared to the egg attack on John Prescott who returned it with a punch. Book burning is also another form of freedom of speech and expression. And, apparently, one cannot even challenge the holocaust behind the curtain of freedom of speech and expression. Or, even challenge the use of additional pronouns in freedom of speech and expression. We live in a society of hypocrites.

Extracts from 'The Satanic Verses':

• "White women -- never mind fat, Jewish, non deferential white women -- were for fucking and throwing over. What one hates in whites -- love of brown sugar -- one must also hate when it turns up, inverted, in black. Bigotry is not only a function of power." 
• "Torture. Maggie the Bitch."
• "N****r eat white shit?"
• "Black shit is bad?"
• "Sister Fucking British"
• "This country that's stuffed full of fucking old corpses"

Prologue (by Daniel Defoe, from 'The History of the Devil'):

"Satan, being thus confined to a vagabond, wandering, unsettled condition, is without any certain abode; for though he has, in consequence of his angelic nature, a kind of empire in the liquid waste of air, yet this is certainly part of his punishment, that he is....without any fixed place, or space, allowed him to rest the sole of his foot upon."