Are you assuming that AI in this case is some form of generative AI? I would not ask chatgpt if a mushroom is poisonous. But I would consider using a convolutional neural net based plant identification software. At that point you are depending on the quality of the training data set for the CNN and the rigor put into validating the trained model, which is at least somewhat comparable to depending on a plant identification book to be sufficiently accurate/thorough, vs depending on the accuracy of a story that genAI makes up based on reddit threads, which is a much less advisable venture

Nvidia does not have a strong history of open sourcing things, to say the least. That last bit sounds like pure hopium

He didn’t go far enough. World population doubling time is down to 50ish years. Thanos probably took 50 years to formulate, prep, and execute his plan, during which time the population had doubled and he was just returning to status quo. It’s like what is happening to the $15 minimum wage movement with inflation

If you use the right color of light, then the doppler effect means that the atoms will only absorb (and be pushed by) light that they are headed towards. That means that the light will always act as a brake for the atoms and never an accelerator, so the fluid will cool. If you do this from all directions, the fluid will start to stay still in one place and get very close to absolute zero. Idk, I just read the Wikipedia article, but that is my best attempt at an ELI18

Radiation does not by definition make things it impacts radioactive, and most of the lingering effects that we associate with radiation have to do with radioactive particles that are left behind by the atmosphere. Since there is no particulate matter traveling between the sun and Mars (photons not withstanding), the surface of Mars would not be expected to acquire radioactive properties from an acute solar radiation event like this one. However, an entity on the surface of Mars would be exposed to radiation from the Sun, much more so than an entity on/near earth and it’s magnetosphere (Mars’ thin atmosphere and distance from the sun probably helps reduce that disparity relative to something in say low earth orbit, but I don’t think it fully equalizes or shifts the scales). I am not an astrophysicist, so there’s at least a 20% chance I got part of that wrong.

You’re not wrong that GPU and AI silicon design are tightly coupled, but my point was that both of the GPU manufacturers are dedicating hardware to AI/ML in their consumer products. Nvidia has the tensor cores in its GPUs that it justifies to consumers with DLSS and RT but we’re clearly designed for AI/ML use cases when they presented them with Turing. AMD has the XDNA AI Engine that it is putting its APUs separate from its RDNA GPUs

Fair enough. Was just asking because the choice of company surprised me. AMD is putting "AI Engines in their new CPUs (separate silicon design from their GPUs) and while Nvidia largely only sells GPUs that are less universal, they’ve had dedicated AI hardware (tensor cores) in their offerings for the past three generations. If anything, Intel is barely keeping up with its competition in this area (for the record, I see vanishingly little value in the focus on AI as a consumer, so this isn’t really a ding on Intel in my books, more so making the observation from a market forces perspective)

Why call out Intel? Pretty sure AMD and Nvidia are both putting dedicated AI hardware in all of their new and upcoming product lines. From what I understand they are even generally doing it better than Intel. Hell, Qualcomm is advertising their AI performance on their new chips and so is Apple. I don’t think there is anyone in the chip world that isn’t hopping on the AI train

How nearby is nearby though? And, in the context of the proposed use case for defending a crowded stadium in a populated area, does this put people down range as well that could also be impaired by the pellets?