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Joined 2 years ago
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Cake day: June 12th, 2023

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  • Cooking is an inherently manual task, and as such any meaningful improvements to cooking tools are enhancements to the manual capabilities of the tools. These are improvements to things like speed/precision/durability of mixing, heating, weighing, etc. Often times the most meaningful improvements are improvements in mechanisms in cooking machines or the materials they are made of, but there are definitely examples of electronics or software contributing in this way. Good examples would be fuzzy logic applied to electric kettles to make the act of heating to a specific temperature more precise by controlling the heating element so the water is brought to temperature without overshoot, or PID controllers in espresso machines controlling pumps to follow a specific pressure curve instead of requiring complex mechanical systems to accomplish the same thing. The problem with many of these internet-connected or heavily software-dependent appliances is that their added features do not improve the manual capabilities of the appliance in any way, sure the machine will tell you how much weight of flour you need for your cake, but your cake won’t be better than one produced by a “dumb” machine because the scale isn’t any more precise than any other scale that would be used for that purpose.

    The other issue with these devices is a fallacy that’s really common in kitchen equipment, which is the idea that more functions = better. Fundamentally, a device designed to do both task A and task B will be worse than an equivalently priced combination of one device for task A and one device for task B, because there is a cost associated with engineering the device to accomplish both tasks. This effect is especially noticable on all-in-one devices that mix, weigh, and heat because there’s a lot more complexity, and thus a lot more cost spent on integrating the components together










  • I think the major difference that determines copywrightability is the amount of control the artist has on the outcome. If a photographer doesn’t like the composition of a photo, there’s a variety of things they can do to directly impact the photo (camera positioning/settings, moving the subjects, changing lighting, etc.), before it’s even captured by the camera. If someone is generating a picture with AI and they don’t like the composition of the image, there’s nothing they can do directly impact what the output will be.

    If you want a picture of an apple, where the apple is placed precisely at a certain spot in frame, a photographer can easily accomplish this, but someone using AI will have to generate the image over and over, hoping that the algorithm decides to eventually place the apple exactly in the desired spot





  • It’s a little disappointing that they didn’t do any testing of microplastic levels at different cook times. Instructions on the small baby food containers used in this study say to microwave for 20 seconds, and in my experience even going for 30 seconds makes the food uncomfortably hot. Id imagine that 3 full minutes boils the food and possibly melts the containers (and baby pouches are even smaller than the containers I’m referring to). The obvious testing procedure would be to use the containers as they are intended, so I’m a little suspicious why they chose such an arbitrarily long cook time