The use of AI chat logs in court raises privacy concerns and could set a precedent for digital evidence in future legal cases.
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Anthropic's rise highlights the growing influence of AI in global markets, prompting shifts in investment strategies and regulatory scrutiny.
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ChatGPT relieves me of my discomfort, but in doing so it robs me of contemplation, of the holy ground between question and answer
Making sense of it is a column about spirituality and how it can be used to navigate everyday life
As a person of faith raised in a religious household, I have a fairly clear picture of what prayer means to me. Prayer is the practice by which I draw closer to God, petition for my needs and desires, request guidance and ask forgiveness.
The deal has always been that in times of trouble I cast my anxieties and questions and emerge with either some answers or some sustaining sense of peace. Take it to the Lord in prayer, the song goes.
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Micron's profitability surge highlights the critical role of memory chips in AI, but future supply changes could challenge its market position.
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Firmus Technologies' Nvidia partnership signifies a strategic shift towards scalable AI infrastructure, potentially reshaping global tech ecosystems.
The post Firmus Technologies strikes AI access deal with Nvidia, building on Bitcoin mining roots appeared first on Crypto Briefing.
Jonathan Rinderknecht was facing arson charges for setting a fire on New Year's Day in 2025, which became one of the deadliest wildfires in LA history. To make their case, prosecutors turned to location data from his iPhone, security camera footage, and witness testimony. But they also turned to his ChatGPT logs.
Prosecutors said that Rinderknecht had ChatGPT generate images of fire, asked the chatbot, "Why am I so angry all the time?", and ranted to it about how the wealthy were destroying the world. They also pointed to a screen recording in which Rinderknecht asked ChatGPT whether someone could be blamed for a fire if it was lit by their …
Read the full story at The Verge.
Scientists are exploring new algorithms, hardware and computing methods to lower AI's power demands. Strategic siting of datacenters and other steps to increase green energy use are also key.