GPT-4.5 Leaks (some fake) Plus OpenAI on AI Safety

1. Rumors and speculation about the release of GPT-4.5

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There have been rumors and speculation about the release of GPT-4.5, with fake screenshots circulating on Twitter. However, it is unlikely that these rumors are true.

• Multiple leakers on Twitter have predicted the release of GPT-4.5, but their accuracy is uncertain.
• The rumors align with the Neural Information Processing Systems conference, which is often associated with major AI releases.
• The fake screenshots can be identified by the incorrect formatting of the model names.

2. OpenAI's real announcements

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OpenAI has made several real announcements, including the launch of Converge 2, a fund for AI companies, and a new research direction for super alignment in AI safety.

• Converge 2 is a program for exceptional engineers, designers, researchers, and product builders using AI.
• OpenAI is exploring the use of smaller models to supervise and control larger, more capable models.
• The goal is to ensure the safe and beneficial development of superhuman AI systems.

3. The challenge of aligning superhuman AI systems

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Aligning superhuman AI systems with human values is a central challenge in AI safety. OpenAI is researching ways to control and steer superhuman AI models using weaker supervisors.

• Current alignment methods rely on human supervision, but future AI systems will be capable of complex and creative behaviors that are difficult for humans to supervise.
• OpenAI's research explores the use of smaller models to supervise larger models and ensure alignment.
• The alignment of superhuman AI systems is crucial for their safety and beneficial impact on humanity.

4. Specify the desired behavior of the neural network.

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Language models need to have their desired behavior specified to ensure they exhibit the desired traits.

• This behavior specification is crucial for language models to provide truthful and helpful responses.
• Fine-tuning and reinforcement learning from human teachers and AI assistance are used to train the model.

5. Reinforcement learning from human teachers and collaboration with AI.

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The training process involves reinforcement learning from human teachers and collaboration with AI.

• The AI is taught to behave according to specified rules and guidelines.
• The second stage of the training process is crucial for improving the usefulness and reliability of the neural network.