A Snapshot of AI's Rapid Obsolescence
Description
A screenshot of a dark mode user interface, likely from a mobile or desktop application. The UI presents a search bar at the top and two selectable options below. The first option is labeled 'ChatGPT' and is accompanied by the swirling OpenAI logo. The second option is labeled 'Codex' and has a simple icon representing a command-line prompt '(>_)'. This image captures a specific moment in the evolution of OpenAI's models, where 'Codex', the specialized model for code generation, was offered as a distinct choice alongside the more general-purpose 'ChatGPT'. For experienced developers, this is a nostalgic look at how quickly the AI landscape changes, as Codex's powerful capabilities were eventually merged into the main GPT models, making the standalone 'Codex' offering a piece of tech history
Comments
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Remember when Codex was the future? That was, like, two major JavaScript framework releases ago. In AI years, it's practically a fossil
Choosing between ChatGPT and Codex is like deciding whether to call the verbose architect who writes 10-page design docs or the cowboy who force-pushes to prod - both powerful, but one definitely leaves more comments
Ah yes, the classic developer dilemma: choosing between the AI that confidently explains why your code is wrong while suggesting a completely different approach, and the one that silently autocompletes your bugs with mathematical precision. Either way, you're still debugging at 3 AM, but now with existential questions about whether you or the AI wrote that regex
The eternal question: Do I ask ChatGPT to explain why my code doesn't work, or do I ask Codex to write code that also won't work? At least with Codex, I can blame the AI for the bugs instead of admitting I forgot to check for null again. Though let's be honest - we all know both will confidently hallucinate a solution that compiles but somehow makes the problem worse, and we'll still merge it at 2 AM because the sprint ends tomorrow
Picking “ChatGPT” vs “Codex” feels like load‑balancing across two frontends that terminate on the same LLM; the Codex path just logs more deprecation warnings
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Picking between ChatGPT and Codex is choosing pair-programming with a generalist staff engineer who reads the whole repo vs a specialist frozen at the 2021 build - either way, it beats scheduling another sync