Let’s talk about the advancements behind the latest GPT-4. We can cover topics like the model’s performance, security concerns (hallucinations, bias, etc.), and its use in academia. What do you think is the biggest innovation here? More efficient token management or multi-modal capabilities? Which area do you expect to see the most improvement in?
What do you think GPT-5 will bring to the table? Let's discuss!
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If GPT-5 can further deepen its multi-modal capabilities—say, perfecting the integration between images, audio, and text—then we could be looking at possibilities beyond even imagination, right?
I read that Mistral AI surprised everyone with its Small model, which nearly rivals much heavier giants—and if GPT-5 takes inspiration from this approach, it would be like switching from a Ferrari to an ultra-light motorcycle that’s just as fast, with energy costs plummeting.
I've always been fascinated by multimodal capabilities because getting synchronized text, visual, and audio outputs to solve coding or math problems—no matter how efficiently you use tokens—simplifies things to the point where #TMI would be an understatement. Do you think the most exciting development in GPT-5 would be that?