Join Allen and Mark as they take a first look at the newly released GPT-5 from OpenAI. They dive into the details of what's new, what's changed, and what's missing, frequently comparing it to other models like Google's Gemini. From the new mini and nano models to the pricing wars with competitors, they cover the landscape of the latest LLM offerings. They also discuss the new features for developers, including verbosity settings and constrained outputs with context-free grammars, and what this means for the future of AI development. Is GPT-5 the leap forward everyone was expecting, or a sign that the rapid pace of AI evolution is starting to plateau? Tune in to find out!

[00:00:00] Introduction and the hype around GPT-5

[00:01:00] Overview of GPT-5, mini, and nano models

[00:02:00] The new "thinking" model and smart routing

[00:03:00] Simplifying models for developers

[00:04:00] Reasoning levels vs. Gemini's "thinking budget"

[00:06:00] Pricing wars and new models

[00:07:00] OpenAI's new open source models

[00:08:00] New verbosity setting for developers

[00:09:00] Constrained outputs and context-free grammars

[00:12:00] Using LLMs to translate to well-defined data structures

[00:14:00] Reducing hallucinations and medical applications

[00:16:00] Knowledge cutoff dates for the new models

[00:18:00] Coding with GPT-5 and IDE integration

[00:19:00] More natural conversations with ChatGPT

[00:21:00] Missing audio and image modalities vs. Gemini

[00:22:00] Community reaction to the GPT-5 release

[00:24:00] The future of LLMs: Maturing and plateauing

[00:26:00] The need for better developer tools and agentic computing

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