There has been complaints about OpenAI GPT-5. Sam Altman indicated that GPT-6 could address user feedback on issues like model warmth and emotional engagement without increasing sycophancy. Early speculation points to a possible release as soon as early 2026 but no firm date has been announced.
OpenAI has not been able to scale chips and compute as fast as xAI or Google. OpenAI has a billion users and they are constrained on inference and serving users.
Altman highlighted user desires for features like persistent memory and greater customization, such as defining the AI’s personality or tone.
OpenAI has acknowledged bottlenecks serving the volume of customers. Altman says they have better models ready but can’t deploy them due to insufficient capacity. OpenAI is prioritizing existing paid users while doubling its compute fleet over the next few months.
OpenAI has increasingly relied on distillation to create smaller, more efficient models for public release. Distillation involves training compact models on outputs from larger ones, reducing inference costs and enabling broader accessibility—evident in GPT-5’s design as a “unified system” blending fast responses with deeper reasoning via distilled components like GPT-5 mini and nano.
OpenAI has shifted to focus on distillation to release smaller models that are still intelligent and have refined performance.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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