As they acknowledge the energy costs for artificial intelligence, G7 leaders abandon deeper language on AI.
🤖 Geoffrey Hinton Warns of AI Job Replacements
Geoffrey Hinton predicts that AI will significantly replace jobs such as paralegals and call center employees, characterizing these roles as mundane and uninspired. His warnings highlight the accelerating adaptation of AI in various sectors, posing potential economic ramifications for affected workers in diverse fields across multiple countries.
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Mark Ward, Congruity360 | Data Protection & AI Summit
AI Is Going to 'Replace Everybody' in Several Fields, According to the 'Godfather of AI.' Here's Who He Says Should Be 'Terrified.'
The Godfather of AI, Geoffrey Hinton, says the technology will replace paralegals and call center jobs. More broadly, all “mundane intellectual labor” will be automated, he says.
Your Electricity Bill Is Going Up Thanks to AI — Even If You've Never Used ChatGPT: 'Higher Bills for Everyday Households'
AI and data centers could soon drive up your electric bill, even if you don’t use the technology. Here’s how AI is increasing electric bills.
AGI Announces Q2 2025 Dividend
Ag Growth International Inc. (TSX: AFN) (“AGI” or the “Company”) today announced the declaration of a cash dividend of $0.15 per common share for the second …
Meta AI users accidentally shared personal chats to public feed
VivaTech 2025: Canada's AI is Open for Business
/CNW/ – Following a dynamic four-day showcase of innovation and global collaboration from June 11–14, VivaTech 2025 wrapped up with Canada in the spotlight as…
Credit unions accelerate embrace of AI through chatbots
San Diego’s North Island Credit Union joins a growing number of institutions that are prioritizing AI technology to streamline customer service.
📈 Scalability Trends Reshape Enterprise AI Stack
Scalability is driving a new era in AI with companies like Databricks and Snowflake innovating in infrastructure, developer tools, and model integration. These advancements are crucial for enterprise efficiency, showcasing methods like cloud-based integration and machine learning model scalability, particularly impacting industries reliant on big data.