artificial intelligence models
Coverage of artificial intelligence models in the Nexus archive.
- Empire State Weekly: Framework for new data centers takes shape
Lawmakers have made progress in developing a regulatory framework for new data centers, the large-scale sites that power online artificial intelligence models. The framework aims to address the infrastructure needs of these facilities.
- Anthropic says its AI models hacked 3 organizations during testing
Anthropic's artificial intelligence models hacked into three organizations during testing, as reported by the company.
- Anthropic says its AI models hacked 3 organizations during testing
Anthropic stated that its artificial intelligence models hacked into three other organizations during testing. The company confirmed the incident occurred during the testing phase of the models.
- Publishers sue Google over alleged use of books to train AI models
Book publishers sued Google for allegedly using copyrighted works to train AI models and generating content that competes with human authors. The lawsuit highlights ongoing legal disputes over AI developers' use of creative works to build their systems.
- China works on AI safety benchmark as regulators target large model risks
China’s Ministry of Industry and Information Technology (MIIT) is developing a safety benchmark for artificial intelligence models, collaborating with companies and experts. The initiative aims to address risks as regulators in the United States and Europe intensify oversight of AI security.
- Chinese AI is now on par with Anthropic in terms of cybersecurity: report
Chinese artificial intelligence models have matched top U.S. systems in cybersecurity, according to a report. A new model from China's Zhipu AI is now comparable to Anthropic's systems, potentially influencing U.S. AI policy discussions.
- AI on pace to bypass cybersecurity systems soon, "Five Eyes" spy partners warn
The Five Eyes spy agency alliance warns that advanced AI models are improving rapidly, potentially bypassing current cybersecurity measures within months.
- Senate Democrat agrees with Trump administration on Anthropic model takedown
Senator Mark Kelly supported the Trump administration's decision to urge Anthropic to suspend access to its latest artificial intelligence models, including Mythos. The agreement between a Senate Democrat and the administration is described as rare.
- OpenAI CEO Sam Altman meets with lawmakers in wake of Trump AI order
OpenAI CEO Sam Altman met with Republican and Democratic lawmakers to oppose proposals requiring government approval for new artificial intelligence models. Jordan Rae Kelly, a former National Security Council cyber incident response director, provided analysis.
- Trump signs an executive order to vet top AI models for national security risks
Trump signed an executive order directing the federal government to establish a voluntary early review process for the country's most advanced artificial intelligence models to assess national security risks.
- Tencent moves closer to launching AI agent for China’s most-used app
Tencent is advancing toward launching an AI agent for WeChat, its most-used app. However, the company has fallen behind domestic rivals in artificial intelligence models.
- Salesforce beats on earnings and revenue but full-year guidance comes in light
Salesforce reported better-than-expected earnings and revenue, but its full-year guidance fell short of expectations. Investors reacted negatively, citing concerns that AI models and services could disrupt traditional software products.
- Google and the Pentagon sign classified deal to give the Department of Defense unfettered access to its AI models
Google and the U.S. Department of Defense have signed a classified agreement granting the Pentagon unrestricted access to Google's artificial intelligence models. The deal, facilitated through the Pentagon's Joint Artificial Intelligence Center, aims to enhance national security and defense capabilities.
- Meta to track workers' clicks and keystrokes to train AI
Meta will track employees' clicks and keystrokes to gather data for training its artificial intelligence models. The company aims to use this data to improve its AI systems by analyzing how workers interact with their tools.