OpenAI has officially launched GPT-5, the highly anticipated successor to GPT-4. In a livestream event that garnered over 2 million concurrent viewers, CEO Sam Altman demonstrated a model that doesn't just predict the next token—it reasons, plans, and corrects itself in real-time.
The "Q" Factor: System 2 Thinking The rumored "Q" (Q-Star) project has seemingly come to fruition in GPT-5. The model employs a "System 2" thinking process for complex queries. System 1 (Fast): For simple queries like "Write a poem", GPT-5 responds instantly. System 2 (Slow): For complex math, coding architecture, or strategic planning, the model explicitly "pauses" to deliberate.
Key Specifications
| Metric | GPT-4 Turbo | GPT-5 |
|---|---|---|
| Context Window | 128k Tokens | 1 Million Tokens |
| Training Compute | ~1x | ~10x |
| Knowledge Cutoff | Dec 2023 | Oct 2025 |
Native Multimodality GPT-5 is natively multimodal. It wasn't trained on text and then bolted onto vision adapters. It was trained on video, audio, image, and text simultaneously. Video understanding is now near-instant, allowing for real-time analysis of live feeds.
Conclusion GPT-5 isn't just a chatbot; it's a reasoning engine. The gap between "AI Assistant" and "Digital Employee" just got a lot smaller.