Hello. I have recently been spending a lot of time dithering. In image processing, dithering is the act of applying intentional perturbations or noise in order to compensate for the information lost during colour reduction, also known as quantisation. In particular, I’ve become very interested in a specific type of dithering and its application to colour palettes of arbitrary or irregular colour distributions. Before going into detail however, let’s briefly review the basics of image dithering.
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The Canadian government sees OpenAI’s decision not to report the shooter’s original account as a failure. It threatened to regulate AI chatbots in the country if their creators cannot show that they have proper safeguards to protect its users. It’s unclear at the moment if OpenAI also plans to roll out the same changes in the US and elsewhere in the world.
There's also Stream.broadcast() for push-based multi-consumer scenarios. Both require you to think about what happens when consumers run at different speeds, because that's a real concern that shouldn't be hidden.