ChatGPT adds dynamic visual explanations for 70+ math and science concepts

• OpenAI launch post rolled out dynamic visual explanations in ChatGPT for “more than 70 core math and science concepts,” with interactive modules that show formulas, variables, and relationships changing in real time.
• The feature is live “globally across all plans” according to OpenAI’s announcement, while supporting rollout details from TestingCatalog describe it as reaching logged-in ChatGPT users starting today.
• The initial concept set is aimed at high school and college learners, with examples in topic list including Pythagorean theorem, Charles’ law, Coulomb’s law, Hooke’s law, and the ideal gas law.
• OpenAI says 140 million people use ChatGPT for math and science help each week, and the new UI shown in product demo and visual walkthrough adds sliders, graphs, and animated simulations instead of text-only explanations.

OpenAI’s launch post says ChatGPT now supports “dynamic visual explanations” for math and science topics, starting with more than 70 concepts. The key product change is that explanations are no longer just prose: users can manipulate variables and watch formulas, graphs, and scientific relationships update live. In OpenAI’s wording, ChatGPT now “guide[s] learners by showing how formulas, variables, and relationships behave in real time” OpenAI post.

The demos in ChatGPT demo and [vid:1|visual walkthrough] show the intended interaction pattern. One sequence uses sliders to change a plotted curve; another shows animated gas particles moving inside a cylinder, matching the kind of physical intuition that static tutoring interfaces usually cannot provide. OpenAI frames this as a learning feature for math and science rather than a new model release or API surface.

The initial topic list is broad but concrete. According to TestingCatalog, it includes algebra, geometry, and physics staples such as circle area, compound interest, kinetic energy, Ohm’s law, slope-intercept form, surface area of a sphere, and the PV = nRT equation. The same post says the current catalog is “most relevant to high school and college age learners,” which makes this look like a packaged educational layer on top of existing ChatGPT usage rather than a general-purpose visualization engine.

The screenshot in [img:4|Pythagorean demo] shows how the system works in practice for the Pythagorean theorem: sliders adjust side lengths, the interface recomputes (c = \sqrt{a^2 + b^2}), and the diagram updates the attached squares on each side of the triangle. That is a meaningful product distinction from conventional step-by-step tutoring, because the explanation stays coupled to a manipulable model.

OpenAI’s usage claim gives the rollout some scale. The company says in usage figure that 140 million people use ChatGPT for math and science help every week. If that audience gets the same interactive treatment across all plans, this is less about adding a handful of animated lessons and more about shifting a major tutoring workflow from static answers to exploratory UI components.