French President Macron Urges Global AI Cooperation

French President Emmanuel Macron is calling for global cooperation on regulating artificial intelligence, urging the US to share cutting-edge AI models with democracies. He warned that US restrictions on access could harm US firms pioneering the technology. France plans to boost funding for its own AI industry to stay competitive.

In a related development, OpenAI CEO Sam Altman and Google DeepMind CEO Demis Hassabis were among top AI executives who met with Macron to discuss the issue. The French president emphasized the need for democratic countries to work together to prevent authoritarian regimes from accessing advanced AI systems.

Meanwhile, a Pew Research Center survey found that Americans are increasingly using AI, but many are skeptical about its impact. About a quarter of Americans use chatbots daily, but a plurality expect AI to have a negative impact on society. Younger adults are more likely to use AI and see its negative effects.

On the tech front, Apple launched Core AI, a framework for deploying on-device generative AI models optimized for Apple Silicon. This provides a unified architecture for deploying models and ensures user data privacy and zero server dependencies. Developers can convert PyTorch models to Core AI models and use them to build custom intelligence.

Microsoft researcher Adrian de Wynter challenged assumptions about large language models (LLMs), building a goat-powered neural network in Age of Empires 2 to show that LLMs may not behave like humans. He argues that assuming LLMs have human-like properties without proof can lead to problems in scientific research.

The UK travel tech industry is shifting its focus from mobile app integration to AI investment, prioritizing AI-powered tools, automated booking systems, and payment technologies to enhance customer experience. AI-powered security tools are also making crypto security cheaper, faster, and more effective by uncovering coding flaws and enabling continuous code reviews.

Key Takeaways

['French President Emmanuel Macron urges global cooperation on regulating AI and wants the US to share cutting-edge AI models with democracies.', 'Macron criticizes the US for restricting access to AI models, saying it could harm US firms.', 'France plans to boost funding for its own AI industry to stay competitive.', 'A Pew Research Center survey finds Americans are increasingly using AI but are skeptical about its impact.', 'Apple launches Core AI, a framework for deploying on-device generative AI models optimized for Apple Silicon.', 'Microsoft researcher Adrian de Wynter challenges assumptions about large language models (LLMs) with a goat-powered neural network.', 'The UK travel tech industry shifts focus from mobile app integration to AI investment.', 'AI-powered security tools make crypto security cheaper, faster, and more effective.', "EY identifies a 'tempo gap' in AI adoption where machine speed outpaces human comprehension.", 'Sam Altman and Demis Hassabis met with Macron to discuss global AI cooperation.']

Macron Urges US to Share AI with Democracies

French President Emmanuel Macron called for democracies to work together on regulating advanced artificial intelligence systems. He spoke at a high-level meeting with top AI executives, including OpenAI CEO Sam Altman and Google DeepMind CEO Demis Hassabis. Macron wants the US to share cutting-edge AI models with other countries and warned that if the US restricts access, it could hurt US firms pioneering the technology. Macron also said France will boost funding for its own AI industry to stay competitive.

Macron Urges Global AI Cooperation

French President Emmanuel Macron urged global cooperation on regulating AI at a G7 summit. He emphasized the need for democratic countries to work together to prevent authoritarian regimes from accessing advanced AI systems. Macron also criticized the US for restricting access to AI models, saying it could harm US firms. He announced France would increase funding for its AI industry.

Americans Skeptical of AI Benefits

A Pew Research Center survey found that Americans are increasingly using AI, but many are skeptical about its impact. About a quarter of Americans use chatbots daily, but a plurality expect AI to have a negative impact on society. Younger adults are more likely to use AI and see its negative effects. The survey also found that Americans use chatbots mainly for information, work tasks, and entertainment.

AI Makes Crypto Security Cheaper

AI-powered security tools are making crypto security cheaper, faster, and more effective. Researchers say AI can help uncover coding flaws and enable continuous code reviews, potentially changing the crypto industry's security standards. AI systems like Mythos can infer code intentions and compare them to actual code, expanding the industry's ability to identify vulnerabilities.

Top Cybersecurity Stories This Week

Cyber Magazine's top stories include CrowdStrike's AI agents, BT's AI for cyber threats, and Okta working with Google Cloud. The articles cover the latest developments in AI and cybersecurity, including continuous identity for AI agents and the rise of autonomous AI agents.

Book Review: The Reverse Centaur

Cory Doctorow's book 'The Reverse Centaur's Guide to Life After AI' explores the implications of AI on society. Doctorow critiques Silicon Valley rhetoric and self-aggrandizement, and argues that AI will have a significant impact on the stock market. He also discusses the potential consequences of the AI bubble popping.

Apple Launches Core AI Framework

Apple announced the launch of Core AI, a framework for deploying on-device generative AI models optimized for Apple Silicon. Core AI provides a unified architecture for deploying models and ensures user data privacy and zero server dependencies. Developers can convert PyTorch models to Core AI models and use them to build custom intelligence.

EY Identifies 'Tempo Gap' in AI Adoption

EY identified a 'tempo gap' in AI adoption, where machine speed outpaces human comprehension. The gap occurs when AI systems move faster than humans can process information, leading to uncertainty and hesitation. EY suggests that organizations should focus on creating interactions that unfold at a pace people can understand and trust.

Microsoft Researcher Challenges LLM Assumptions

Microsoft researcher Adrian de Wynter built a goat-powered neural network in Age of Empires 2 to show that large language models (LLMs) may not behave like humans. De Wynter argues that assuming LLMs have human-like properties without proof can lead to problems in scientific research and that experiments should be designed to understand LLMs' capabilities.

UK Travel Tech Shifts to AI Investment

The UK travel tech industry is shifting its focus from mobile app integration to AI investment. Travel companies are prioritizing AI-powered tools, automated booking systems, and payment technologies to enhance customer experience. The decline in mobile app integration reflects a broader evolution in travel technology architecture, with AI-native platforms and agent-based booking systems becoming more prominent.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Artificial Intelligence AI Regulation Global Cooperation Democracies US-France Relations AI Industry Funding Competitiveness G7 Summit Authoritarian Regimes AI Benefits Skepticism Chatbots AI Impact Crypto Security AI-Powered Tools Continuous Code Reviews Coding Flaws Cybersecurity AI Agents Autonomous AI Identity Verification AI Frameworks On-Device AI Generative AI User Data Privacy Zero Server Dependencies AI Adoption Machine Learning Human Comprehension Tempo Gap LLMs Large Language Models Neural Networks Scientific Research Experiments Travel Tech AI Investment Mobile App Integration Automated Booking Systems Payment Technologies Customer Experience

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