May 24, 2023

  •  Hardware

    Nvidia Stock Soars on Earnings Beat. AI Is Even Bigger Than You Thought.

    Barron’s, 05/24/23. Nvidia, the semiconductor giant, reported stellar financial results for the April quarter, exceeding expectations. With adjusted earnings per share of $1.09 and revenue of $7.2 billion, the company showcased its strength in the AI market. The big news came with their revenue forecast for the July quarter, reaching a staggering $11 billion. Nvidia’s chips enabling AI applications were in high demand, leading to a remarkable 25% surge in their stock price. READ THE ARTICLE

  •  Regulation

    Congress Must Exercise Caution in AI Regulation

    EFF, 05/24/23. Artificial intelligence (AI) is in the spotlight in Washington D.C., as policymakers weigh the utopian promises and potential risks. While recognizing AI’s extraordinary potential to transform work and power dynamics, Congress should regulate cautiously, focusing on specific use cases like privacy and facial recognition. However, proposals for an all-powerful AI regulation commission are misguided, as AI is still in early stages and integrated across industries. Additionally, expanding copyright to AI training data could hinder innovation and lead to impractical compensation disputes. Policymakers must carefully consider the implications and avoid hasty actions. READ THE ARTICLE

  •  Investing

    Hedge Fund Manager Doug Kass Has a Blunt Warning About AI Stocks

    The Street, 05/24/23. Artificial intelligence (AI) stocks have surged in popularity, fueled by the success of OpenAI’s ChatGPT and the integration of AI by major tech companies. However, hedge fund manager Doug Kass warns of the challenges ahead. Concerns over regulation, misinformation, and potential misuse of AI could impact profitability and lead to market pullbacks. Investors should approach AI stocks with caution, considering the risks and the possibility that current valuations may be too high. READ THE ARTICLE

  •  Regulation

    To promote AI effectively, policymakers must look beyond ChatGPT

    The Hill, 05/24/23. The emergence of ChatGPT has sparked AI discussions, but policymakers must consider the bigger picture. While computing power has been a major focus, a study reveals that AI researchers are more constrained by data and talent than compute resources. Promoting research diversity and addressing the talent shortage through educational initiatives and increased skilled immigration caps can have a lasting impact. Policy proposals must be responsive to the entire AI field, not just language models. READ THE ARTICLE

  •  Hardware

    How AI is reshaping the computer chip industry

    Marketplace, 05/24/23. Nvidia’s stock price has surged as it dominates the AI chip market, surpassing Visa, Tesla, and Facebook in market capitalization. Its GPUs excel in parallel calculations, making them ideal for AI workloads. However, Nvidia and other companies rely on Taiwan Semiconductor Manufacturing Co. (TSMC) for chip production, leaving the AI industry vulnerable to supply chain disruptions and geopolitical risks. Despite the growing demand for AI chips, the industry must address these concerns to ensure stability and growth. READ THE ARTICLE

  •  Background

    The lightning onset of AI—what suddenly changed? An Ars Frontiers 2023 recap

    Arstechnica, 05/24/23. The Ars Frontiers virtual conference hosted a panel on “The Lightning Onset of AI—What Suddenly Changed?” featuring Google DeepMind’s Paige Bailey and Xbox’s Haiyan Zhang. They discussed the definition of AI, recent advancements, and the potential of generative AI on game consoles. Responsible and ethical AI use was emphasized, along with the need for public dialogue. The panel highlighted open source collaborations and addressed concerns about AGI and the use of public data in training AI models. The event is available for viewing on YouTube. READ THE ARTICLE

  •  Healthcare

    Patient Trust in AI Impacted by Demographics, Clinician Involvement

    Health IT Analytics, 05/24/23. A recent study from the University of Arizona revealed that patients are divided on their preference between human clinicians and AI-driven diagnostic tools. While many patients have doubts about the trustworthiness of AI diagnoses, they are more likely to trust it if their healthcare provider supports its use. Factors such as demographics and clinician support influence patients’ choices. Clinician-driven approaches and maintaining accuracy are essential for the future integration of AI in healthcare. READ THE ARTICLE