The article discusses the concept of 'weighted opportunity' as a metric for evaluating running backs in fantasy football, emphasizing its importance over raw touches. It highlights the predictive power of this metric in assessing player performance and potential regression. The analysis includes detailed evaluations of various players, such as Christian McCaffrey, Josh Jacobs, and Bijan Robinson, focusing on their efficiency and expected performance in the upcoming season. The article advises fantasy football managers to prioritize volume over efficiency when drafting players, noting that volume is a key driver of fantasy production. It also identifies players with high potential for increased workload and performance, such as De'Von Achane and Breece Hall, while cautioning against relying on players with questionable upside due to inefficiency, like Josh Jacobs and Aaron Jones.

A new startup has emerged from stealth mode, aiming to create digital pets for Apple's Vision Pro. These digital pets will leverage AI technology to interact with humans, offering a novel experience on the Vision Pro platform. The initiative highlights the growing trend of integrating AI with consumer technology, particularly in the realm of augmented reality.

China's efforts to match the U.S. in AI and biotechnology raise concerns, particularly regarding man-made biological agents. Bill Drexel from the Center for a New American Security highlights the risks associated with China's top-down technological advancements, which have historically led to negative outcomes.

Elon Musk stated at the Milken Global Conference in Los Angeles that SpaceX and Starlink use 'basically no AI.' This highlights the company's current technological approach, focusing on other areas rather than artificial intelligence. The statement provides insight into SpaceX's operational strategies and priorities.

Oracle has announced the addition of over 200 AI features to its NetSuite software, aiming to enhance productivity across various business functions without charging extra fees. This move positions Oracle against competitors like Salesforce, Microsoft, and Box, who have also integrated generative AI into their offerings without raising prices. In contrast, SAP is adopting a consumption-based pricing model for AI features. Oracle's EVP Evan Goldberg emphasizes the ubiquity of AI in future business systems and the company's focus on practical AI applications for midsize companies. Oracle has been testing generative AI features in NetSuite since October 2023 and plans to continue leveraging customer data to improve their services.

Artificial intelligence is driving the development of new assistive technologies for people with disabilities, a market that could reach 3.5 billion people by 2050. The World Health Organization estimates that 1.3 billion people globally live with a significant disability. Innovations showcased at CES include dotLumen's .lumen glasses, OrCam's MyEye device, and Ara Strap, all designed to aid the visually impaired. Microsoft and Google are also contributing with apps and projects like Seeing AI and Project Euphonia. Despite the potential, assistive technologies face challenges such as affordability and scalability.

A survey commissioned by Workday reveals that 80% of workers report a lack of guidelines for AI use at their employers, with only 52% of non-executive employees welcoming AI. In contrast, 62% of business leaders are open to AI in their organizations. The survey included 1,375 business leaders and 4,000 employees across 15 countries. Concerns exist about organizations prioritizing their interests over employees' when implementing AI. Despite skepticism, 61% of employees hope for AI to bring transformation, while 32% prefer maintaining the status quo. Workday's CTO, Jim Stratton, highlights the risk of organizational paralysis due to uncertainty around AI.

AI is increasingly contributing to the acceleration of drug, chemical, and material development by serving as lab copilots and enabling automated labs. These AI tools are designed to speed up scientific discovery, which is crucial for addressing global challenges such as climate change and personalized cancer treatments. AI copilots assist researchers by suggesting experiment advancements and identifying patterns in data, while cloud labs allow for remote-controlled, repeatable experiments. Companies like Strateos and Emerald Cloud Lab are at the forefront of this innovation. The article also discusses the importance of AI in expanding access to top equipment and the potential for AI to address the replication crisis in science. Additionally, it mentions the trend of increased cross-border scientific collaboration and the significance of patent trends among tech companies, with Samsung and Qualcomm leading in U.S. patents obtained.

Generative AI could exacerbate America's racial wealth gap by $43 billion annually over the next two decades, with Black workers at higher risk of job loss due to automation. The median white household has a wealth of $285,000 compared to $45,000 for the median Black household. McKinsey's report indicates that AI threatens to automate many jobs that don't require a 4-year degree and pay over $42,000, which are often held by Black workers. The report suggests that Black workers learn skills less likely to be automated, employers contribute to reskilling efforts, and AI developers ensure their models do not perpetuate biases. While AI poses risks, it also has the potential to improve economic mobility and access to education and health care if equity is prioritized in its development.

A middle road for AI adoption is emerging, balancing concerns over losing control of AI with the desire to harness its benefits. Key stakeholders, including America's biggest banks, philanthropists, the White House, labor unions, and niche venture capitalists, advocate for a cautious and practical approach. This group is focused on building evidence and securing funding from outside major tech companies and traditional venture capital firms, contrasting with the more extreme positions in the AI debate.