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"Crucial to his success, he says, was YouTube's recommendation system, the feature that promotes videos for you to watch on the homepage or in the "Up Next" column to the right of whatever you're watching. "We were recommended constantly," he tells me. YouTube's algorithms, he says, figured out that "people getting into flat earth apparently go down this rabbit hole, and so we're just gonna keep recommending.""

"Vast sums are being spent by governments across the industrialized and developing worlds on automating poverty and in the process, turning the needs of vulnerable citizens into numbers, replacing the judgment of human caseworkers with the cold, bloodless decision-making of machines. "

"His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."

"To what extent do the decisions of these types of algorithms reflect the conscious or unconscious biases of their creators?"

"a word that does not exist; it was invented, defined and used by a machine learning algorithm. "

"My job was to use technology to make the low-level content moderators' work more efficient. For example, we created a tool that allowed them to throw a video clip into our database and search for similar content. When I was at ByteDance, we received multiple requests from the bases to develop an algorithm that could automatically detect when a Douyin user spoke Uyghur, and then cut off the livestream session. The moderators had asked for this because they didn't understand the language. Streamers speaking ethnic languages and dialects that Mandarin-speakers don't understand would receive a warning to switch to Mandarin."

The ensuing controversy has sparked renewed debates about the ways in which algorithms can perpetuate biases, yielding unintended and often offensive results.

"As the lava lamps bubble and swirl, a video camera on the ceiling monitors their unpredictable changes and connects the footage to a computer, which converts the randomness into a virtually unhackable code.  Why use lava lamps for encryption instead of computer-generated code? Since computer codes are created by machines with relatively predictable patterns, it is entirely possible for hackers to guess their algorithms, posing a security risk. Lava lamps, on the other hand, add to the equation the sheer randomness of the physical world, making it nearly impossible for hackers to break through."

"Algorithms steer us back to similar content in echo chambers that inhibit both critical and creative thinking. Platforms incentivized to keep users scrolling discourage long-looking and render users as passive consumers, rather than active seekers of inspiration. They aren't a space for productive feedback, either: Art takes on a different tone when it's surrounded by dog GIFs, political memes, and your cousin's baby photos."

"On Wednesday, California Gov. Gavin Newsom signed a bill into law that directly affects "mega-retailers" like Amazon, and how these companies use algorithms to manage warehouse workers. Mega-retailers are those that employ more than 1,000 warehouse workers, and they include one of Amazon's main competitors, Walmart."

"Luddism refuses to die because each innovation creates a pool of people who feel economically or culturally dispossessed. The greater the leap forward, the wider the chasm of obsolescence. And the scale of the digital revolution defies hyperbole. No area of human activity is undisrupted. "

"The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail. Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."

"The robots, which are less than 1mm long, are designed by an "evolutionary algorithm" that runs on a supercomputer. "

"Then came the algorithm, which used automatic speech recognition to detect specific features and patterns in each of the 48 recordings. It was clear from examining the waveforms of the cries that each category had a specific pattern."

"Hangzhou Zhongheng Electric is just one example of the large-scale application of brain surveillance devices to monitor people's emotions and other mental activities in the workplace, according to scientists and companies involved in the government-backed projects. Concealed in regular safety helmets or uniform hats, these lightweight, wireless sensors constantly monitor the wearer's brainwaves and stream the data to computers that use artificial intelligence algorithms to detect emotional spikes such as depression, anxiety or rage."

"Big data and artificial intelligence are some of today's most popular buzzwords. Both are promised to help deliver insights that were previously too complex for computer systems to calculate. With examples ranging from personalised recommendation systems to automatic facial analyses, user-generated data is now analysed by algorithms to identify patterns and predict outcomes. and the common view is that these developments will have a positive impact on society."

"As adolescents and young adults fled Facebook for platforms like Instagram and Snapchat, Facebook knew its long-term survival depended on winning over that demographic. But the savvy business move had a different, less public price tag. Caught up in recommendations from a powerful algorithm designed to keep them engaged, some teen girls found Instagram worsened their body image, according to a new Wall Street Journal investigation. Users even pinned feelings of increased depression, anxiety, and suicidal thinking on the app."

""AI can pick up missed cues and suggest nudges to bridge the gap in emotional intelligence and communication styles. It can identify optimal ways to discuss common problems and alleviate common misunderstandings based on these different priorities and ways of viewing the world. We could be looking at a different gender dynamics in a decade.""

" This is wholly unacceptable behavior. Our books are copyrighted material, not free fodder for wealthy companies to use as they see fit, without permission or compensation. Many, many hours of serious research, creative angst and plain old hard work go into writing and publishing a book, and few writers are compensated like professional athletes, Hollywood actors or Wall Street investment bankers. Stealing our intellectual property hurts. Well, sure, Mr Cohan, but I have to point out: there are humans out there reading your books and getting ideas from them. Or at least, one sure hopes there are, because otherwise all those many hours of serious research etc have really gone to waste. As writers, if we don't influence what people think, what's the point? Furthermore, if we get a chance to influence what robots write, shouldn't we leap at it?"

"Word of the layoffs comes over a year after the company made a big hiring push, doubling its size to over 500 people. Stack Overflow did not elaborate on the reasons for the layoff, but its hiring push began near the start of a generative AI boom that has stuffed chatbots into every corner of the tech industry, including coding. That presents clear challenges for a personal coding help forum, as developers get comfortable with AI coding assistance and the very tools that do that are blended into products they use. AI-generated coding answers have also posed problems for the company over the past year. The company issued a temporary ban on users generating answers with the help of an AI chatbot in December last year, but its alleged under-enforcement led to a months-long strike among moderators that was resolved in August; the ban is still in place today. Stack Overflow also announced it would start charging AI companies to train on its site. "