Up.D-AI-TE / no.1
Unveiling the Latest Innovations and Debates Shaping the Future of AI.

In this inaugural post, we explore groundbreaking advancements from OpenAI’s o1-preview model to Ted Chiang’s critique on AI’s role in art, and much more.

1. OpenAI’s o1-Preview: Its Most Advanced AI Models Yet, Engineered to Excel in Complex Reasoning and Problem-Solving Tasks
On September 12, OpenAI introduced the o1-preview, a new series of AI models designed to excel at complex reasoning and problem-solving tasks, such as those in science, coding, and math. These models are trained to think more deeply before responding, achieving significantly higher accuracy than previous models. For example, in a qualifying exam for the International Mathematics Olympiad, the o1 model solved 83% of problems, compared to 13% for GPT-4. While still lacking some features like web browsing and file uploads, o1 sets a new benchmark for AI capabilities, especially in complex tasks. OpenAI has also strengthened safety measures, including new safety training and partnerships with AI safety institutes in the U.S. and U.K. The o1 model is expected to benefit researchers, developers, and professionals tackling advanced problems in fields like healthcare, physics, and quantum optics.
2. Can AI Ever Truly Create Art? Ted Chiang’s Bold Take on Why True Creativity Requires Human Touch
On September 12, OpenAI introduced the o1-preview, a new series of AI models designed to excel at complex reasoning and problem-solving tasks, such as those in science, coding, and math. These models are trained to think more deeply before responding, achieving significantly higher accuracy than previous models. For example, in a qualifying exam for the International Mathematics Olympiad, the o1 model solved 83% of problems, compared to 13% for GPT-4. While still lacking some features like web browsing and file uploads, o1 sets a new benchmark for AI capabilities, especially in complex tasks. OpenAI has also strengthened safety measures, including new safety training and partnerships with AI safety institutes in the U.S. and U.K. The o1 model is expected to benefit researchers, developers, and professionals tackling advanced problems in fields like healthcare, physics, and quantum optics.
3. AI’s Self-Destruct Sequence: How 57% of Web Content Is Triggering Model Collapse

A recent article in Forbes explores the potential self-destructive cycle of AI and its impact on the internet. Researchers from Cambridge and Oxford have found that when generative AI tools continuously use content produced by AI, the quality of the responses deteriorates rapidly. This phenomenon, termed “model collapse,” leads to AI-generated content becoming increasingly nonsensical over time.

The study highlights that 57% of web text is AI-generated, and as AI content dominates, it risks degrading the quality of information online. This model collapse results in a distortion of reality, where AI outputs become less reliable due to the over-reliance on its own generated data.

The article warns that if AI continues to feed on its own content, it could lead to significant misinformation and degradation of online information. It suggests that to prevent this, AI systems need continuous access to human-generated content. The rapid rise of AI-generated content and the lack of clear solutions to these issues could jeopardize the integrity of both AI and the internet.

4. Midjourney Announces New Features to Enhance the Creative Process

The Midjourney Dev Team is gearing up to release a series of massive new features by the end of 2024. Here’s a list of 6 improvements that will enhance the creative process:

  1. Ability to Edit External Photos
  2. Larger Grid Sizes
  3. New Storytelling Tools
  4. Default Model Personalization
  5. Midjourney 3D
  6. Midjourney Video Model
5. EU’s Game-Changer: The World’s First Binding AI Convention Now in Force

The European Commission has recently signed the Council of Europe framework Convention on Artificial Intelligence. The Convention is the first legally binding international agreement on AI and is fully in line with the EU AI Act, the first comprehensive AI regulation in the world.

The Convention aims to ensure AI systems respect human rights, democracy, and the rule of law, while still supporting innovation and building trust. It covers important aspects from the EU AI Act, including:

  • A focus on managing risks associated with AI
  • Transparency about how AI systems and their outputs are handled
  • Detailed documentation for high-risk AI systems
  • Risk management measures, including potential bans on AI systems that pose serious threats to fundamental rights.