In this video we talk about OpenAI launching dynamic visual explanations in ChatGPT, where you can slide controls to interact with formulas and variables in real time across 70+ math and science topics. We also get into the trust problem, because LLMs cannot do math reliably, and why that hints these topics may be hardcoded or powered by tool calls and a calculator-like system instead of pure text generation. Finally, we compare it to what Claude is doing with a more canvas-like approach, and why “showing and not telling” could make AI feel less confusing and more like a legit learning tool you can actually start using.
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TIMESTAMPS:
00:00 Interactive Visual Explanations
00:35 Can You Trust The Math?
01:01 Tool Calls And Calculators
01:30 Why The UI Looks Prebuilt
02:15 Claude’s Canvas Approach
02:40 Where To Start With AI
03:00 Command AI Weekly Show
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Transcript
OpenAI have launched a dynamic visual explanations in chat GPT letting users interact with formulas and variables in real time for 70 plus math and science topics. Command AI New ways to learn math in chat in in math and science in chat GPT. So you basically have these little I don't know if that's moving too fast for you, but you have these things that you can slide around and help visualize stuff. Um I was going to give it a go in chat GPT, but I think you get the picture to be honest. But how can we be sure that these are correct? Because there must be some tools built in because we know that LLMs cannot do math if you didn't know. Mhm. [laughter] So I reckon I reckon because they've been so specific on the number of you know topics, 70 plus that a lot of these are potentially hard coded. Yeah, there are tools like tool calls that these LLMs have and this is potentially something like hey, if it's this specific law in physics or chemistry or whatever. Mhm. Here's the formula for it and there is like a calculator Mhm. that can do the actual calculation because LLMs can't calculate. Mhm. And the visuals also look very on brand. So it's not like AI is not generating the visuals necessarily. Mhm. So there are like a brand and like a specific UI going on here. This is interesting like with the controls and the inputs and the output. I see consistency. So Mhm. So they have built around this idea and now this is as a as a tool Um available in chat GPT which is welcome and this is the way it should be. Uh because that's how it can be reliable. Becoming more of a learning tool as well. So in the same breath Claude have also introduced you can see this They they're just more less interactive more um Well, I guess interactive but like more just I guess canvas like and and whatever. So they're also pushing Yeah, exactly. Showing and not telling. Um So yeah, similar sort of thing but pushing people to learn. I think this is another reason why people get so confused with AI because it's like well it can seemingly do everything. I don't know where to start. You know. Yeah. Not that it's a problem. It's like you get stuck in instead of like being paralyzed by the the uh what do they call it? The paradox of choice. Just get stuck in and see what it can do for you. Um But yeah, quite cool. This is part of a larger conversation on my show Command AI which we stream live every single week. We discuss the news and all things related to AI in the world of design and web. Catch us next week and join in the banter. Command AI
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