The AI Revolution is Rotten to the Core

The Power of Storytelling - Stories have the power to captivate and engage audiences. - They can evoke emotions, create connections, and inspire action. - By using storytelling techniques in your content, you can make it more memorable and impactful.

Crafting Compelling Narratives - A compelling narrative has a clear structure with a beginning, middle, and end. - It introduces characters or situations that the audience can relate to. - The story should also have conflict or tension that keeps the audience engaged.

Emotional Appeal through Storytelling - Emotional appeal is an effective way to connect with your audience on a deeper level. - By incorporating emotional elements into your stories, you can elicit empathy from viewers and motivate them to take action.

The Unique Appeal of Minecraft Minecraft is a game that stands out in the crowded world of video games due to its vast open world, endless possibilities for creation, and charming blocky graphics. It offers players the freedom to build anything from simple dirt huts to massive castles and intricate redstone contraptions. The game's procedural generation ensures that every new world is unique with different biomes, structures, and resources.

Survival and Creativity "At its core, Minecraft is about survival and creativity." Players gather resources like wood, stone, and iron to craft tools and build shelters while facing challenges such as dangerous mobs. As they progress in the game, they encounter more advanced obstacles requiring strategic thinking.

Introduction to AI in the Games Industry Machine learning has gained popularity in generating art, music, and text. The games industry is now utilizing AI for various purposes such as art, programming, animation, and monetization through micro-transactions.

"Neural Networks" - Simplistic Models of Brains "Neural networks" are simplified models of brains that take input stimuli and produce output sensations or emotions. They consist of input nodes, hidden layers (which can be adjusted), and output nodes. However, understanding why an AI makes decisions is challenging due to its lack of reasoning like humans do.

The Ethical Dilemma of Generative Models Generative models like Google's Deep dream can generate media from text descriptions, but the use of public datasets raises ethical concerns. Companies often prioritize profit over ethics and scrape millions of images without proper licenses. This leads to consequences like biased datasets and questionable labor practices.

'Slavery as a Service' in Data Labeling "Artificial artificial intelligence" platforms like Mechanical Turk and Appen exploit workers for data labeling tasks. Workers are underpaid, invisible, and have no other options due to economic circumstances. These companies take advantage of their vulnerable position by paying low wages while profiting from AI development.

The Rise of AI in Game Development AI is becoming increasingly prevalent in video game development, with significant efforts being made to automate various aspects. Ubisoft has developed a tool called Ghostwriter for quickly drafting NPC dialogues, although it has limitations and is not used for major characters. Coherence remains a challenge for AI models, but there are promising developments such as generating textures. Unity and other companies are embracing machine learning despite some concerns about oversight.

Challenges and Limitations of AI-generated Content "Bad art" and inconsistent results have been observed in the field of AI-generated content across different domains like music generation, visual art creation, chatbots' conversational abilities, etc. The lack of consistency poses challenges when using these models extensively in games or other applications. Steam's policy on owning training data rights leads developers to hide their use of AI-generated assets.

The Future Impact on Gaming Industry While current implementations may be gimmicky or limited to smaller studios/individuals creating niche games (e.g., Vaudeville), the potential impact on the gaming industry is significant. As technology improves over time and more resources are invested into developing new structures/models that can generate consistent content at scale (like NPCs with emergent goals), we can expect an increasing integration of AI into mainstream game development processes by larger studios like Bethesda.

AI Art and Lack of Intention AI-generated art lacks intention as it simply takes a text prompt and produces an image without any creative decision-making. The generated art often looks bad and lacks vision or beauty.

"Creative" AI is Copying "Creative" AI models are trained to copy existing patterns from the training data, rather than generating something new. While they can mimic certain styles, they lack true creativity compared to human artists.

The Limitations of AI in Artistic Expression AI's ability to generate images is limited by its reliance on prompts and parameters set by humans. It cannot replicate the precise control that photographers have over their craft, nor does it possess the same level of aesthetic interpretation as humans do.

OpenAI: The Powerhouse of AI Innovation OpenAI, led by CEO Sam Altman, is a major player in the field of artificial intelligence. They have developed advanced text and image generators like GPT and DALL-E. However, their leadership has faced controversy due to alleged involvement in conspiracy theories and unethical practices.

The Ethical Concerns Surrounding OpenAI's Practices "Big tech Rube Goldberg machines" - OpenAI's reliance on stolen training data raises ethical concerns. While they started as a nonprofit research organization, they pivoted towards profit-making when they realized the need for more capital. Their work remains largely closed-source despite initial intentions to be open.

AI Bias and Data Structure AI models can pick up biases from their training data, leading to racist labels or biased judgments. The structure of datasets is subjective and not based on objective scientific taxonomy. Companies like OpenAI modify AI systems to hide biases but don't address the underlying dataset or model structure.

The Role of AI in Medical Research "Machine learning programs have shown better performance than doctors in diagnosing tuberculosis from MRI images. However, understanding how these programs make decisions is challenging due to the lack of explainability." Diverse datasets can help eliminate bias in medical diagnosis using AI.

The Dark Side of AI in Predictive Policing AI is being used by police for predictive policing, but it reproduces bias and diverts blame onto algorithms. Companies like Shield AI develop machine learning for military use, while insurance companies may use AI to determine premiums based on surveillance data.

"Objective" Exploitation: The Power of AI in Insurance AI allows companies to make complex inferences about individuals from collected data, leading to higher premiums and exploitation. Tragedies become opportunities for exploitation as every bad event puts individuals at a disadvantage.