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""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.""

"Personalized pricing, which is also known as price discrimination or price optimization, depending on whether you're an economist or an online marketer, is a growing trend. According to a recent Deloitte and Salesforce report, 40% of brands that currently use AI to personalize the customer experience have used it to tailor pricing and promotions in real time. "

"It's like turning the clock back to a more earnest time on the web, when the novelty of having a voice or being able to connect with anyone still filled us with a sense of boundless opportunity and optimism. It harkens back to the late 1990s and early 2000s-before social media, before smartphones-when going online was still a valuable use of time to seek community."

"or its latest update, which it released Wednesday, the COVID-19 Scenario Modeling Hub combined nine different mathematical models from different research groups to get an outlook for the pandemic for the next six months. "Any of us who have been following this closely, given what happened with delta, are going to be really cautious about too much optimism," says Justin Lessler at the University of North Carolina, who helps run the hub. "But I do think that the trajectory is towards improvement for most of the country," he says. The modelers developed four potential scenarios, taking into account whether or not childhood vaccinations take off and whether a more infectious new variant should emerge. "

"Generational differences in learning techniques are apparent in how people of different ages approach technology. It has been said that we, the Net Generation, are closer to our grandparents-the Greatest Generation-in our work ethic and optimism about the future than to our parents' generation. But how we approach problems is totally different."

"Green Light uses machine learning systems to comb through Maps data to calculate the amount of traffic congestion present at a given light, as well as the average wait times of vehicles stopped there. That information is then used to train AI models that can autonomously optimize the traffic timing at that intersection, reducing idle times as well as the amount of braking and accelerating vehicles have to do there. It's all part of Google's goal to help its partners collectively reduce their carbon emissions by a gigaton by 2030."

"Seeing an opportunity, Franklin decided to take advantage. On 9 July, the company said that it would begin to support digital employees as part of its platform and treat them like any other employee. "Today Lattice is making AI history," Franklin pronounced. "We will be the first to give digital workers official employee records in Lattice. Digital workers will be securely onboarded, trained and assigned goals, performance metrics, appropriate systems access and even a manager. Just as any person would be." The pushback was swift - and, in many cases, brutal, particularly on LinkedIn, which is generally not known for its savage engagement like X (formerly known as Twitter). "This strategy and messaging misses the mark in a big way, and I say that as someone building an AI company," said Sawyer Middeleer, an executive at a firm that uses AI to help with sales research, on LinkedIn. "Treating AI agents as employees disrespects the humanity of your real employees. Worse, it implies that you view humans simply as 'resources' to be optimized and measured against machines. It's the exact opposite of a work environment designed to elevate the people who contribute to it.""

"However, this relationship between social media use and political polarization seems to depend a lot on duration of exposure and does not appear in all the samples surveyed. Thus, recent studies exploring the effects of stopping Facebook and Instagram use failed to observe that social media noticeably polarize users' political opinions. Let us always remember that narratives pointing to threats on society enjoy a considerable competitive advantage on the market of ideas and conversations, due to their attractiveness to our minds. One should thus approach the question of the relationship between social media, and political hostility and polarisation, by avoiding the symmetrical pitfalls of naive optimism and collective panic."

"The announcement that Meta would be changing their approach to political content and discussions of gender is concerning, though it is unclear exactly what those changes are. Given that many product changes regarding those content areas were used in high-risk settings, a change intended to allay US free speech concerns could lead to violence incitement elsewhere. For example, per this post from Meta, reducing "content that has been shared by a chain of two or more people" was a content-neutral product change done to protect people in Ethiopia, where algorithms have been implicated in the spread of ethnic violence. A similar change - removing optimizations for reshared content - was discussed in this post concerning reductions in political content. Will those changes be undone? Globally? Such changes could also lead to increased amplification of attention getting discussions of gender. Per this report from Equimundo and Futures Without Violence, 40% of young men trust at least one "manosphere" influencer - who often exploit algorithmic incentives by posting increasingly extreme, attention-getting mixes of ideas about self-improvement, aggression, and traditional gender roles."