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- Google Gemma 2, Nvidia Chip Export Ban, Moshi AI, Mustafa Suleyman on AI
Google Gemma 2, Nvidia Chip Export Ban, Moshi AI, Mustafa Suleyman on AI
US Sanctions Accelerate China’s AI Development, Mustafa Suleyman on AI’s Evolution and Future, Google Unveils Gemma 2, & More...
Weekly AI News
July 05, 2024 • Estimated Reading Time: 7 minutes
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🚀 Top AI Highlights
Nvidia Chip Export Ban Spurs Chinese AI Innovation
Tech Cold War Begins
US imposed export controls on China in 2022, targeting semiconductors, AI, and quantum computing.
By 2023, further restrictions limited Chinese access to Nvidia chips, crucial for AI.
China’s Response
Despite sanctions, China surged in generative AI patents, leading globally with 38,000 filings between 2014-2023, compared to 6,276 by the US.
OpenAI’s halt of API services to China in 2024 opened opportunities for local firms like Tencent and Alibaba to innovate and reduce reliance on foreign tech.
AI Advancements
Chinese AI models, like Alibaba’s Qwen, are achieving top global rankings.
Though catching up, it may take two years for Chinese models to match US counterparts.
Bigger Picture
Sanctions spurred Chinese innovation, creating a self-reliant AI ecosystem.
The US-China tech rivalry is shaping AI’s future, with China’s rapid progress challenging previous assumptions of their lag in AI development.
Google Gemma 2: Lightweight, State-of-the-art Open Model Series
Key Highlights:
Model Sizes: 9 billion (9B) and 27 billion (27B) parameters.
Performance: The 27B model rivals larger models; the 9B model outperforms competitors like Llama 3 8B.
Efficiency: Runs efficiently on single GPU or TPU, cutting costs.
Developer-Friendly: Open license, broad framework compatibility, easy deployment on Vertex AI.
Responsible AI:
Includes tools for safe deployment and text watermarking technology.
Availability:
Accessible through Google AI Studio, Kaggle, Hugging Face, and soon Vertex AI Model Garden.
Free access for researchers via Kaggle and Colab notebooks.
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Mustafa Suleyman on AI: Grappling with ‘The Containment Problem’
In 2010, Mustafa Suleyman and his co-founders, including Shane Lake, aimed to create AI replicating human intelligence, betting early on deep learning with key figures like Geoffrey Hinton on their team.
Inflection AI and Pi: Suleyman's new venture, Inflection AI, developed Pi, a personal AI assistant designed to help individuals and organizations efficiently organize and plan their lives.
AI Advancements and Impact: AI has moved from "classification" to "generative" capabilities. By 2028, AI is expected to perform many tasks at human levels due to increased computational power. AI can improve innovation, healthcare, and tackle climate change, leading to widespread access to high-quality AI tools and "radical abundance." However, risks include misuse by bad actors and challenges in managing harmful information in open-source AI.
Impact on Jobs and Democracy: AI will create new jobs and industries. Society should focus on well-being and prosperity rather than fear job loss. AI could threaten democracy by enabling persuasive synthetic media. Ethical standards and cautious development are necessary.
Government Role and Environmental Impact: Governments must build and understand technology to regulate it effectively, involving technologists in high positions. AI's carbon footprint is minimized by major tech companies using renewable energy.
Global Collaboration and Innovation: Global cooperation among researchers is essential for AI advancements. AI assists human creativity but humans remain central. Regulations are needed to prevent misuse, such as banning AI-generated content in political campaigns.
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