Automation Leverage in Turnaround Strategy

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Automation Leverage in Turnaround Strategy Turnaround work is often described as a crisis discipline: reduce costs, preserve cash, stabilize operations and buy time. Those moves matter, but they are not enough. A durable turnaround also needs leverage: better systems, clearer information flows and repeatable execution. For Livio Andrea Acerbo , AI automation is useful in turnaround strategy when it improves the operating rhythm of a company. The point is not to add tools. The point is to remove friction from decisions that must happen every week. From cost control to operating clarity Cost control can stop the bleeding, but operating clarity creates the next phase. Teams need to know which products are profitable, which customers deserve attention, where working capital is trapped and which workflows create avoidable delay. Automation helps when it turns scattered data into a management cadence. Dashboards, exception reports, document summaries, pipeline reviews and cash visibi...
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Joint studies from OpenAI and MIT found links between loneliness and ChatGPT use

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New studies from OpenAI and MIT Media Lab found that, generally, the more time users spend talking to ChatGPT, the lonelier they feel. The connection was made as part of two, yet-to-be-peer-reviewed studies, one done at OpenAI analyzing "over 40 million ChatGPT interactions" and targeted user surveys, and another at MIT Media Lab following participants' ChatGPT use for four weeks. MIT's study identified several ways talking to ChatGPT — whether through text or voice — can affect a person's emotional experience, beyond the general finding that higher use led to "heightened loneliness and reduced socialization." For example, participants who already trusted the chatbot and tended to get emotionally attached in human relationships felt lonelier and more emotionally dependent on ChatGPT during the study. Those effects were less severe with ChatGPT's voice mode, though, particularly if ChatGPT spoke in a neutral tone. Discussing personal topics also tended to lead to loneliness in the short-term, and interestingly, speaking to ChatGPT about more general topics was more likely to increase emotional dependence. The big finding from OpenAI's study was that having emotional conversations with ChatGPT is still not common. "Emotionally expressive interactions were present in a large percentage of usage for only a small group of the heavy Advanced Voice Mode users we studied," OpenAI writes. That suggests that even if MIT's findings are as concerning as they are unsurprising, they're not exactly widespread outside a small group of power users.  There are important limitations to MIT Media Lab and OpenAI's research, like both studies covering a short period of time (one month for MIT, 28 days for OpenAI) and MIT not having a control group to compare to. The studies do add more evidence to something that seemed intuitively true for a while now — talking to AI has a psychological impact on the humans doing the talking. Given the intense interest in making AI a compelling conversation partner, whether its in video games or as a way to simplify the job of YouTube creators, its clear that MIT Media Lab and OpenAI are right to want to understand what'll happen when talking to AI is the norm.This article originally appeared on Engadget at https://www.engadget.com/ai/joint-studies-from-openai-and-mit-found-links-between-loneliness-and-chatgpt-use-193537421.html?src=rss

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