Visualizing the Exponential Hype of GPT-5
Description
A screenshot of a tweet by Aidan McLaughlin (@aidan_mclau) with the caption, 'getting pretty nostalgic for the future'. Below the text is a simple diagram on a white background that starkly contrasts 'GPT-4' and 'GPT-5'. On the left, 'GPT-4' is represented by a miniscule purple dot, with an arrow pointing to it, emphasizing its smallness. On the right, 'GPT-5' is depicted as a massive, solid purple circle that consumes a large portion of the frame. The meme humorously captures the immense and exponential expectations surrounding the next iteration of OpenAI's language models. It visualizes the tech community's hype, suggesting that the leap from GPT-4 to GPT-5 will be so significant that it renders the current state-of-the-art model comically tiny in comparison. The paradoxical caption adds a layer of wit, implying that the future's advancements will be so profound that one can already feel a sense of nostalgia for the era that is about to be eclipsed
Comments
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The jump from GPT-4 to GPT-5 looks like the difference between my initial project estimate and the actual number of story points six months later
Somewhere an infra lead just updated the budget spreadsheet: line-item ‘GPT-5 inference cluster’ now reads ‘entire GDP of a small nation.’
Remember when we thought GPT-4's context window was impressive? Now we're nostalgic for a model that doesn't exist yet, probably because GPT-5 will make our current architectural debates look like arguing over whether to use tabs or spaces in a world where code writes itself
Ah yes, the classic AI scaling problem: GPT-4 fits in your GPU memory, GPT-5 requires you to mortgage your data center. At this rate, GPT-6 will need its own power plant and GPT-7 will just be a Dyson sphere. But hey, at least it'll finally understand sarcasm... probably
Amazing how every roadmap deck measures capability by circle area, finance measures it by GPU invoices, SRE wants the axis in log scale - and my GPT-4 integration is now considered legacy code I shipped last Tuesday
In our roadmap decks, GPT-5 keeps doubling - scaling laws work best in PowerPoint, where neither H100 quotas nor the governance board exist
GPT-5: Finally small enough to run inference without mortgaging your AWS account