Background: Speech-to-speech capabilities in AI involve transforming spoken language input into an understanding that can be processed and then delivering a spoken language output, closely mimicking human-to-human interaction. This level of interaction requires advanced natural language understanding, real-time processing, and high-fidelity speech generation, posing significant challenges in computational linguistics and artificial intelligence.
Question: Will the next major release of an OpenAI LLM feature natural speech-to-speech capabilities, enabling users to engage in conversations as naturally and conveniently as they would with another human over a remote call?
Resolution Criteria: For this question, the "next major release of an OpenAI LLM" is defined as the next model from OpenAI that satisfies at least one of the following criteria:
- It is consistently called "GPT-4.5" or "GPT-5" by OpenAI staff members 
- It is estimated to have been trained using more than 10^26 FLOP according to a credible source. 
- It is considered to be the successor to GPT-4 according to more than 74% of my Twitter followers, as revealed by a Twitter poll (if one is taken). 
This question will resolve to "YES" if this LLM, upon release to the general public, demonstrates the ability to engage in a natural conversation with you, as if you were talking to a real human over a remote call. This requires, at the minimum, that the system can:
- Understand spoken language input from users in real-time. 
- Process this input to generate contextually relevant, generally accurate responses. 
- Convert these text responses back into natural, human-like spoken language without consistent multi-second delays between replies, ensuring a seamless conversational flow. 
- Handle pauses in the conversation well, like an ordinary human would. 
- Handle interruptions naturally, like an ordinary human would. 
- Understand when it's your turn to talk, without requiring you to press a button to indicate that it's your "turn". 
- Maintain a conversation with a human user over at least a 5-minute period without breakdowns in understanding or response generation, assessed under conditions mimicking a standard remote communication setup (e.g., a phone call).