GPT-5 OpenAI: What to Expect

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Introduction

Release Date: GPT-5 is expected to launch in late 2024 or early 2025.
Capabilities: GPT-5 is anticipated to be a significant leap forward in AI, with improved reasoning, error prevention, and multimodal capabilities. While GPT-5 represents a significant advancement in AI, it is still far from achieving AGI [Machine Translation].
training: The training of GPT-5 is expected to take around 4-5 months and cost billions of dollars.
mode l size: GPT-5 will likely be larger than its predecessors, driven by significant investments in computing power and energy.
Multimodality: GPT-5 is expected to handle text, audio, image, and possibly video inputs and outputs.
Customization: Future iterations of GPT could allow developers to incorporate users' own data for more personalized experiences.
context window: GPT-5 may offer a larger context window, allowing it to process more tokens at once, which could have profound implications for research and learning.

Expected Launch: GPT-5 is anticipated to be released in late 2024 or early 2025.
Speculation: There has been a lot of speculation and creative thinking about the release date, but no official timeline has been confirmed.
Training Timeline: Training for GPT-5 is expected to take around 4-5 months.

Significant Leap: GPT-5 is expected to be a significant improvement over GPT-4, particularly in reasoning and error prevention.
Multimodal Capabilities: It will likely handle text, audio, image, and possibly video inputs and outputs.
Improved Reasoning: Enhanced reasoning capabilities are anticipated, addressing many of the shortcomings of GPT-4.
Error Prevention: GPT-5 aims to reduce the frequency of errors and improve overall accuracy.

Larger Model: GPT-5 is expected to be larger than its predecessors.
Investment: Significant investments in computing power and energy are driving the increase in model size.
Shift in Stance: Sam Altman has indicated a shift from his previous stance, now suggesting that models will likely continue to grow.

Multimodal Inputs: GPT-5 is expected to handle text, audio, image, and possibly video inputs.
Multimodal Outputs: The model will likely be able to deliver outputs in various formats, including text, audio, and images.
Future Milestones: Multimodality is considered an important milestone for GPT in the next five years.

User Data: Future iterations of GPT could allow developers to incorporate users' own data for more personalized experiences.
Custom GPTs: OpenAI currently allows users to build and explore custom GPTs that incorporate instructions, skills, or additional knowledge.
Future Capabilities: Sam Altman hinted that future GPT models could know about users' email, calendar, and other data sources.

Larger Context Window: GPT-5 may offer a larger context window, allowing it to process more tokens at once.
Implications: A larger context window could have profound implications for research, learning, and analysis.
Current Models: GPT-4 has a context window of 8,192 tokens. GPT-4o currently has a context window of 128,000 tokens, while Google's Gemini 1.5 has up to 1 million tokens.