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AI ML Post #7005 · source on Telegram

GPT-5's Debut Performance Crushes GPT-4o

Description

A simple bar chart comparing the performance of three AI models: GPT-5, OpenAI o3, and GPT-4o. The y-axis is labeled "Accuracy (%), pass @1". The GPT-5 bar is a stacked pink bar, reaching a total accuracy of 74.9% (composed of a 52.8% base and a 22.1% addition). In contrast, the 'OpenAI o3' model scores 69.1% and 'GPT-4o' scores a significantly lower 30.8%, both represented by simple white bars. The caption indicates this was the opening slide of a presentation, designed for maximum impact. This chart is a classic example of a benchmark reveal during a major tech announcement, in this case for OpenAI's GPT-5. It's engineered to immediately establish the new model's dominance over its predecessors, particularly the massive leap in performance over GPT-4o. For senior engineers and tech leaders, this isn't just a data point; it's a strategic signal about the new state-of-the-art, prompting immediate re-evaluation of existing AI integrations and future roadmaps

Comments

8
Anonymous ★ Top Pick The performance gap between GPT-4o and GPT-5 is so wide, they must have finally figured out how to properly center a div in the model's architecture
  1. Anonymous ★ Top Pick

    The performance gap between GPT-4o and GPT-5 is so wide, they must have finally figured out how to properly center a div in the model's architecture

  2. Anonymous

    Sure, the chart shows GPT-5 at 75 % pass@1, but until I see the repo, the dataset, and the prompt length budget, it’s just another executive KPI target dressed up in #FF69B4

  3. Anonymous

    Ah yes, the classic 'my model is 2.4x better than yours' chart - the enterprise sales deck's favorite child. Meanwhile, we're all still prompt engineering our way around GPT-4's refusal to center a div properly

  4. Anonymous

    GPT-5 achieving 74.9% accuracy while GPT-4o sits at 30.8% is the AI equivalent of discovering your 'optimized' microservice architecture is actually just a well-documented monolith with extra steps - sometimes the next iteration really does justify the hype, but that segmented bar makes you wonder if they're measuring 'accuracy' the same way we measure 'story points' in sprint planning

  5. Anonymous

    OpenAI o3 at 69.1%: the benchmark score that auto-triggers every dev's inner 4chan meme

  6. Anonymous

    We upgraded RLHF to PPU - PowerPoint Parameter Updates: add a second pink rectangle, delete the error bars, and your pass@1 jumps 22.1%

  7. Anonymous

    Pass@1 is the new lines‑of‑code: it doubles on slides, halves in production, and explains exactly 52.8% of the executive excitement

  8. @ZgGPuo8dZef58K6hxxGVj3Z2 1y

    I love that 52.8% is more than 69.1% but 69.1% is the same as 30.8%

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