Highest Rated Comments


No_Computer774281 karma

If I'm at high school now, with all that revolution happening, what should I focus on?
What was hot in AI five years ago is not hot anymore. What are some foundational things I should learn that would serve for years to come?

No_Computer774228 karma

How does your team choose which problems are the most important to solve, and how do you know what difference using AI made?

No_Computer774224 karma

I'm the parent of kids aged 7 and 11 (and a high schooler!). What should I teach my younger kids about AI? They have a lot of fun with generating images from prompts, but how can I leverage their interest into something that will be useful?

No_Computer774214 karma

GPT-4 has an opinion:

To determine how many Skittles can fit in the interior of a 1996 Honda Accord DX, we need to estimate the available volume inside the car and the volume of a single Skittle. Note that this is a rough estimate and does not take into account irregularities in the car's shape or the arrangement of the Skittles.

The 1996 Honda Accord DX has an interior passenger volume of approximately 100 cubic feet (2.83 cubic meters).

The volume of a single Skittle is approximately 0.001 cubic feet (2.83 x 10^-5 cubic meters). This is calculated by assuming that a Skittle is a cylinder with a diameter of about 0.5 inches (1.27 cm) and a height of about 0.4 inches (1.016 cm). The volume of a cylinder is given by the formula V = πr^2h, where V is volume, r is the radius, and h is the height.

Now, we can divide the total interior volume by the volume of a single Skittle to estimate how many Skittles can fit inside the car:

Total Skittles = Interior Volume / Single Skittle Volume

Total Skittles ≈ (2.83 cubic meters) / (2.83 x 10^-5 cubic meters)

Total Skittles ≈ 100,000

So, you could fit approximately 100,000 Skittles in the interior of a 1996 Honda Accord DX. Keep in mind that this is a rough estimate and the actual number may vary.

No_Computer774211 karma

Currently, a lot of AI models are trained from data generated by humans and then output data generated by AI, for example, ChatGPT.

Is there a name for the time when most of the data available for training is AI-generated? Should we be concerned that AI will just going to start repeating itself soon and whatever new is created will be drowned out by AI-generated content?