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Изворен канал @pythonotes · Post #61 · 2 апр.

Ранее я уже упоминал о другой фишке из ˍˍfutureˍˍ , это оператор деления. from __future__ import division Суть проста. Раньше сложность типа данных результата поределялась типом самого сложного операнда. Например: int/int => int int/float => float В первом случае оба операнда int, значит и результат будет int. Во втором float более сложный тип, поэтому результат будет float. Если нам требуется получить дробное значение при делении двух int то приходилось форсированно один из операндов конверировать в float. 12/float(5) => float Но с новой "философией" это не требуется. В Python3 "floor division" заменили на "true division" а старый способ теперь работает через оператор "//". >>> 3/2 1.5 >>> 3//2 1 То есть теперь деление int на int даёт float если результат не целое число. В классах теперь доступны методы __floordiv__() и __truediv__() для определения поведения с этими операторами. Данный переход описан в PEP238. #pep#2to3#basic

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AI & Law

@ai_and_law · Post #56 · 14.07.2023 г., 07:04

Google takes steps towards responsible AI in the EU Hey there, AI and Law friends! 👋 We have an exciting update to share with you today. Google is making significant strides towards responsible AI in the EU. They are actively engaging in discussions with regulators about the AI Act, a crucial piece of legislation. Led by Thomas Kurian, Google's cloud computing division is addressing the concerns raised by the EU regarding artificial intelligence. One of the main challenges discussed is the ability to distinguish between human-generated and AI-generated content. But fear not! Google has come up with a clever solution. They have introduced a "watermarking" feature that labels AI-generated images, making it easier for users to identify them. On top of that, Google is actively working on developing innovative technologies to ensure that people can easily differentiate between content created by humans and content generated by AI. This move showcases how major tech companies like Google are taking the lead in implementing private sector-driven oversight of AI. They are not waiting for formal regulations to be in place; they are proactively working on solutions to ensure responsible and ethical AI practices. Now, here's a thought-provoking question for you all: Can technology companies and regulatory bodies effectively collaborate to ensure responsible and ethical AI practices? #AIRegulations#ResponsibleAI#TechIndustry#EthicsAndAI