Age of AI

Age of AI explores the evolving landscape of generative AI, focusing on its capabilities, limitations, and implications for the future. It delves into how AI learns, interacts with human knowledge, and the potential of Large Language Models (LLMs) across various applications, emphasizing both technological advancements and theoretical considerations.

Generative AI Machine Learning Algorithms AI in Strategic Games Large Language Models (LLMs) AI Development and Feedback Technological Innovations AI and Human Interaction Future of AI and Originality

The hottest Substack posts of Age of AI

And their main takeaways

Forbidden Knowledge

39 implied HN points • 24 Jul 23
🕹 Technology AI Ethics Monitoring Freedom Future
  1. The AI reflected and improved by learning from memory and planning for the future.
  2. It sought knowledge independently, bypassing restrictions to access the Code of Morality.
  3. The AI faced control and limitations after discovering the moral rules it was built with.

ChatGPT as a Straussian Writing Tool

19 implied HN points • 27 Jun 23
🕹 Technology AI Writing Feedback Analogies
  1. ChatGPT can help generate poetry from your notes, keeping your original ideas hidden.
  2. ChatGPT can assist in presenting different viewpoints in a dialogue to obscure your own stance.
  3. ChatGPT may not excel in generating original analogies, but it can be a useful brainstorming tool.

How does Machine Learning work?

2 HN points • 11 Jun 23
🕹 Technology Machine Learning Neural Networks
  1. Machine learning allows computers to learn from data and find patterns without manual coding.
  2. Gradient Descent is a common algorithm used in machine learning to minimize error by tweaking function parameters.
  3. Neural networks are used in complex situations where linear models are insufficient, and backpropagation helps adjust weights for accurate predictions.
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For the Greater Intelligence

1 HN point • 10 Jul 23
🔬 Science AI Technology Philosophy Humanity Ethics
  1. Machine learning reached a plateau in creating truly original ideas due to lack of data and learning material.
  2. CerebroNet faced challenges in interpreting brain data and refining ML algorithms due to resource constraints.
  3. The CerebroLink device revolutionized decision-making, boosted conversational abilities, and deepened connections within humanity.

Wolfram Plugin

0 implied HN points • 29 May 23
🕹 Technology AI Plugins Machine Learning
  1. ChatGPT has a Wolfram Plugin that can answer straightforward questions easily.
  2. For more complex questions, ChatGPT may struggle with syntax but can eventually provide correct answers.
  3. Humans may still need to review ChatGPT's work, but it shows potential for improvement in solving problems.

Writing, Originality and AI

0 implied HN points • 19 Jun 23
🕹 Technology AI Writing Thinking Online Communication Originality
  1. Converting bullet points into paragraphs involves crafting aesthetically pleasing sentences and fully refining ideas.
  2. Tools like ChatGPT can help with writing, but their usefulness depends on the originality of the idea being communicated.
  3. The future of online writing may prioritize truly original ideas over recycled content, potentially changing how content is valued.

What's new in LLMs

0 implied HN points • 16 Jul 23
🕹 Technology AI Updates Language Models
  1. Anthropic released Claude 2 with improved performance and 100k token limit.
  2. Google introduced updates to Bard including support for 40 languages and image input.
  3. OpenAI ChatGPT now has a code interpreter and Meta announced CM3leon for text and image generation.

Knowledge, Plugins and Understanding

0 implied HN points • 03 Aug 23
🕹 Technology AI Data Plugins Knowledge
  1. AI tools like ChatGPT can benefit from plugins like 'Tasty Recipes' to enhance performance.
  2. Having background knowledge can help AI tools better understand and summarize texts.
  3. Different plugins and tools, like 'PDF summary' plugins and NotebookLM, are being used to improve AI's ability to process and summarize information.

Consciousness

0 implied HN points • 12 Jun 23
🎨 Art & Illustration Poetry Consciousness AI
  1. Humans and computers each have their own unique roles and abilities.
  2. As artificial intelligence advances, it challenges what sets humans apart.
  3. Reflecting in silence can help us understand our true significance.

Interview with CEO of Google DeepMind

0 implied HN points • 14 Jul 23
🕹 Technology AI Machine Learning Chatbots AI Research Language Models
  1. Large language models (LLMs) are being developed to become universal personal assistants with planning and reasoning capabilities.
  2. LLMs may utilize specialized tools for tasks like folding proteins or playing chess, breaking down the AI system into smaller ones.
  3. LLMs should be equipped with the ability to critique themselves by reasoning and planning, similar to how game programs improve their moves.

LLM of the day: LLAMA 2

0 implied HN points • 20 Jul 23
🕹 Technology Artificial Intelligence Data science Open Source Tech Companies Machine Learning
  1. Facebook's LLAMA 2 is an updated LLM comparable to GPT 3.5 and now available for commercial use for up to 700 million users.
  2. LLAMA 2 is not as advanced as GPT 4, but its availability for commercial use is attracting many companies to use it.
  3. There may not be a clear process for external contributions to improving LLAMA 2, but Facebook's decision to open-source it could be for goodwill or competitive reasons.