Nvidia Forecasts Rise of Accelerated Computing AI, Different AI Regulatory Approaches Worldwide and more

Pivot 5: 5 stories. 5 minutes a day. 5 days a week.

1. Nvidia Signals End of PC-Dominated Era, Paving Way for Accelerated Computing and Generative AI

Nvidia CEO Jensen Huang forecasts an end to the PC-dominated computing era, predicting the rise of accelerated computing and generative AI.

With data centers transitioning from CPU to GPU-based infrastructure, this shift will enable handling of the hefty workload from generative AI. Huang credits Nvidia's GPUs as the backbone for AI compute, with their market value recently surpassing $1 trillion. Additionally, he announced a partnership with SoftBank for a new platform for generative AI and 5G/6G applications.

Huang also introduced the Grace Hopper Superchip and a new AI supercomputer, DGX GH200, capable of developing trillion-parameter language models.

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2. Global Perspectives: Regulatory Landscape for AI Diverges across EU, US, UK, and China

The EU AI Act, which classifies AI systems based on 'trustworthiness', is awaiting passage amid disagreement among MEPs.

Meanwhile, US legislation is in progress, including a proposal for AI tool audits and public vetting of AI models, with Kamala Harris overseeing AI governance. In the UK, a 'light touch' approach to AI governance has been adopted, leaving regulation to individual sectors, while the upcoming Online Safety Bill covers AI chatbots.

China is drafting rules for generative AI models and tightening control over AI content, with bans in place for "subverting state power" and disrupting social order.

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3. AI Leaders Warn of Extinction Risks from Advanced AI in Joint Statement

Prominent artificial intelligence (AI) experts, including CEOs of OpenAI, DeepMind, and Anthropic, have issued a joint statement warning of potential "extinction risks" from advanced AI without proper management.

The statement, endorsed by hundreds of experts, seeks to address challenges in discussing catastrophic AI risks openly. Signatories comprise key figures in AI, such as Sam Altman (OpenAI), Dennis Hassabis (Google DeepMind), Dario Amodei (Anthropic), and deep learning pioneers Yoshua Bengio and Geoffrey Hinton.

The statement underscores the urgent need for responsible AI development and regulation, advocating for increased collaboration among AI researchers, deeper technical research, and an international AI safety organization.

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4. Xtalpi and Eli Lilly Collaborate in $250M AI-Driven Drug Discovery Partnership

Shenzhen-based Xtalpi, an AI and quantum physics-driven drug discovery firm, has formed a $250 million partnership with US pharmaceutical company Eli Lilly to develop potential treatments for an undisclosed disease with no current available medicine.

The agreement stipulates that Xtalpi will provide a novel drug compound for Eli Lilly to take to clinical trials and commercialization. Xtalpi, co-founded by three Chinese quantum physicists, utilizes AI, quantum physics, and robotic automation to expedite the drug discovery process and improve success rates.

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5. Maintaining AI Development Pace Essential for National Security Amid Rising Cyber Threats

Amid the rapid advancement of generative AI, experts express concern over potential malicious use of AI technology by aggressive hacking groups and nation-states.

Despite such concerns, it's argued that a pause in AI development would be detrimental, leaving the U.S. vulnerable and behind its adversaries. Current regulatory frameworks can't keep up with the fast-paced AI field. The potential for AI misuse is compared to the recreational drug trade, which regulation struggles to contain.

Recognizing the necessity for speed in AI development, the author advocates for regulations that set ethical standards, while maintaining pace with AI's rapid progress.

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