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Canadian banks, regulators discussed Mythos AI, minister to meet with Anthropic
Regulators and major banks are weighing how the model could expose financial systems to new cyber attacks, while Canada’s AI minister plans talks with Anthropic.
- The Bank of Canada and major lenders met Friday to discuss cybersecurity risks raised by Anthropic PBC's latest artificial intelligence model, Mythos.
- Anthropic decided against public release of Mythos, which can identify and exploit vulnerabilities in every major operating system and web browser.
- Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned Wall Street leaders Thursday for urgent discussions about Mythos and similar AI models.
- Artificial Intelligence Minister Evan Solomon met Anthropic leadership on Tuesday to discuss global concerns, while OSFI coordinates with the Canadian Centre for Cyber Security to monitor risks.
- Regulators globally are increasingly concerned that advanced AI models will lead to a new breed of cyber attacks against financial institutions, with British regulators also holding urgent talks.
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36 Articles
36 Articles
The Minister responsible for artificial intelligence, Evan Solomon, said that he would meet with Anthropic's leaders on Tuesday to address the global concerns raised by the company's new AI model.
·Montreal, Canada
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The Toronto Star+24 Reposted by 24 other sources
Canadian banks, regulators discussed Mythos AI, minister to meet with Anthropic
OTTAWA - Artificial Intelligence Minister Evan Solomon says he will be meeting with senior leadership from Anthropic on Tuesday in response to global concerns about the company’s new AI model.
·Toronto, Canada
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Financial Post+2 Reposted by 2 other sources
Bank of Canada, Major Lenders Met on Anthropic AI Cyber Risk
(Bloomberg) — The Bank of Canada and the country’s major banks and financial firms met Friday to discuss cybersecurity risks raised by Anthropic PBC’s latest artificial intelligence model.
·Canada
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Coverage Details
Total News Sources36
Leaning Left18Leaning Right3Center6Last UpdatedBias Distribution67% Left
Bias Distribution
- 67% of the sources lean Left
67% Left
L 67%
C 22%
11%
Factuality
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