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Rahul Agarwal
Founder | Agentic AI... • 2d
In a few years, we went from: GPT-2 struggling with simple text → GPT-5 reasoning, planning, coding, and remembering context. Here’s the journey in a nutshell: 👉 GPT-2 (2019): Simple text, lots of errors. 👉 GPT-3 (2020): Huge leap (175B params), long-form text + summarization. 👉 GPT-4 (2023): More logic, safer outputs, 25+ languages, multimodal with GPT-4V. 👉 GPT-5 (2025): Factual accuracy, persistent memory, state-of-the-art coding, adaptive style control, and native tool/API integration. We’re now already moving from 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 → 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. With AI now able to: ✅ Think across text, visuals, and sound ✅ Team up with other systems in real-time ✅ Learn and get better on its own The question is no longer what AI can do, it’s how we guide it to create what truly matters. What do you think?
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