Normal Computing CEO @FarisSbahi says thermodynamic computing introduces a new tradeoff in chip design: noise. “You have speed and energy—those are typically the trade-offs that you're making. We're introducing a new one, which is noise.” “Let's say you're trying to run something like a diffusion model, which is super topical because OpenAI just winded down Sora this week. It was costing them like $15 million per day to run, $21 million cumulative revenue.” “That's the kind of workload that's a really nice fit for this computing paradigm, because you're taking something that's noisy and approximate by definition and mapping it to hardware where the physics maps really nicely between those equations.” “From our perspective, 2030 is a key date we talk about a lot internally, because there's a view that even by 2028 we're going to have a 49 gigawatt shortfall in terms of power.” “Something has to change. It could be energy—it could be that we find new sources or create data centers in space, or one of these other directions—or that we'll have a real breakthrough when it comes to silicon, and that's what we're going after.”