Phil Windley's article "Can LLMs Provide References for Their Work?" explores whether Large Language Models (LLMs) like ChatGPT can offer valid references. Windley clarifies that LLMs do not inherently generate references as they create text based on a vast corpus of pre-ingested data, not from active research. An experiment on providing references highlighted that while LLMs can generate hyperlinked citations, many can be erroneous or outdated. Windley suggests that interrogating LLMs through follow-up questions may yield better-supported content, akin to consulting a librarian for dependable sources. Despite some success, ensuring accuracy in AI-generated references remains challenging, as emphasized by examples of broken or shallow links.

Can LLMs Provide References for Their Work? An Experiment Phil Windley's Technometria

Microsoft's recent unveiling of the AI-powered Windows 11 Recall feature has stirred privacy and security concerns among users and experts. The feature periodically captures screenshots of an active window to aid in retrieving previously viewed information, with data stored locally and encrypted via BitLocker. Though intended to enhance user convenience, many worry it could be exploited by threat actors, effectively creating a new attack vector. Critics argue that despite Microsoft's assurances of data privacy and user control, the potential for misuse, especially if a device is compromised, poses significant risks. The Information Commissioner’s Office in the UK is consulting with Microsoft to ensure proper data protection measures are in place.

Microsoft's new Windows 11 Recall is a privacy nightmare bleepingcomputer

Seattle Children’s Hospital's Clinical Effectiveness department and Center for Diversity and Health Equity have developed Equity Dashboards to identify disparities in health outcomes among various patient populations. These dashboards aim to challenge racial inequities and prioritize quality improvement initiatives by trending Key Performance Indicators (KPIs) over time and by demographic factors. Available for free in R, Tableau, and PowerBI, these tools help organizations visualize and address disparities in care. The Equity Dashboards are updated quarterly and allow users to organize data by selected demographics to inform regular Plan-Do-Study-Act (PDSA) cycles. Interested users can access the code by completing a form and are encouraged to collaborate with their internal teams for effective implementation.

Seattle Children's Equity Dashboard Seattle Children's Hospital

An appellate court ruled in favor of drug manufacturers, allowing them to impose conditions on pharmacies receiving discounted drugs under the 340B program. This decision upholds a previous district court ruling that sided with Novartis Pharmaceuticals and United Therapeutics, who had sued the Department of Health and Human Services (HHS) in 2021. The 340B Drug Pricing Program requires drugmakers to provide discounts to providers serving low-income populations. However, pharmaceutical companies argue that providers abuse these discounts, especially when partnering with multiple pharmacies. The HHS had argued against the restrictions, issuing enforcement letters and threatening fines. The court's decision acknowledges drugmakers' concerns regarding potential abuses in the program but also noted that any conditions imposed by drugmakers must not violate the 340B statute. Provider groups oppose the ruling, arguing it jeopardizes access to discounted medications for disadvantaged patients.

Latest 340B ruling delivers blow to providers healthcaredive

Phil Windley's article "Can LLMs Provide References for Their Work?" explores whether Large Language Models (LLMs) like ChatGPT can offer valid references. Windley clarifies that LLMs do not inherently generate references as they create text based on a vast corpus of pre-ingested data, not from active research. An experiment on providing references highlighted that while LLMs can generate hyperlinked citations, many can be erroneous or outdated. Windley suggests that interrogating LLMs through follow-up questions may yield better-supported content, akin to consulting a librarian for dependable sources. Despite some success, ensuring accuracy in AI-generated references remains challenging, as emphasized by examples of broken or shallow links.

Can LLMs Provide References for Their Work? An Experiment Phil Windley's Technometria

Microsoft's recent unveiling of the AI-powered Windows 11 Recall feature has stirred privacy and security concerns among users and experts. The feature periodically captures screenshots of an active window to aid in retrieving previously viewed information, with data stored locally and encrypted via BitLocker. Though intended to enhance user convenience, many worry it could be exploited by threat actors, effectively creating a new attack vector. Critics argue that despite Microsoft's assurances of data privacy and user control, the potential for misuse, especially if a device is compromised, poses significant risks. The Information Commissioner’s Office in the UK is consulting with Microsoft to ensure proper data protection measures are in place.

Microsoft's new Windows 11 Recall is a privacy nightmare bleepingcomputer

Seattle Children’s Hospital's Clinical Effectiveness department and Center for Diversity and Health Equity have developed Equity Dashboards to identify disparities in health outcomes among various patient populations. These dashboards aim to challenge racial inequities and prioritize quality improvement initiatives by trending Key Performance Indicators (KPIs) over time and by demographic factors. Available for free in R, Tableau, and PowerBI, these tools help organizations visualize and address disparities in care. The Equity Dashboards are updated quarterly and allow users to organize data by selected demographics to inform regular Plan-Do-Study-Act (PDSA) cycles. Interested users can access the code by completing a form and are encouraged to collaborate with their internal teams for effective implementation.

Seattle Children's Equity Dashboard Seattle Children's Hospital

An appellate court ruled in favor of drug manufacturers, allowing them to impose conditions on pharmacies receiving discounted drugs under the 340B program. This decision upholds a previous district court ruling that sided with Novartis Pharmaceuticals and United Therapeutics, who had sued the Department of Health and Human Services (HHS) in 2021. The 340B Drug Pricing Program requires drugmakers to provide discounts to providers serving low-income populations. However, pharmaceutical companies argue that providers abuse these discounts, especially when partnering with multiple pharmacies. The HHS had argued against the restrictions, issuing enforcement letters and threatening fines. The court's decision acknowledges drugmakers' concerns regarding potential abuses in the program but also noted that any conditions imposed by drugmakers must not violate the 340B statute. Provider groups oppose the ruling, arguing it jeopardizes access to discounted medications for disadvantaged patients.

Latest 340B ruling delivers blow to providers healthcaredive