Why Didn’t AI “Join the Workforce” in 2025? - Cal Newport
Exactly one year ago, Sam Altman made a bold prediction: “We believe that, in 2025, we may see the first AI agents ‘join the workforce’ ... Read more
Microsoft CEO Admits That AI Is Generating Basically No Value
Microsoft CEO Satya Nadella, whose company has invested billions of dollars in ChatGPT maker OpenAI, has had it with the constant hype surrounding AI. During...
Unseeable prompt injections in screenshots: more vulnerabilities in Comet and other AI browsers | Brave
AI browsers remain vulnerable to prompt injection attacks via screenshots and hidden content, allowing attackers to exploit users' authenticated sessions.
Tech Takes the Pareto Principle Too Far – Bobby Lockhart
There's a reason video games build what's called a 'vertical slice'. If you're not familiar, a vertical slice is a single playable area, with all mechanics, fin
Association of daily sitting time and coffee consumption with the risk of all-cause and cardiovascular disease mortality among US adults
Background Sedentary behavior has been demonstrated to be a modifiable factor for several chronic diseases, while coffee consumption is believed to be beneficial for health. However, the joint associations of daily sitting time and coffee consumption with mortality remains poorly understood. This study aimed to evaluate the independent and joint associations of daily sitting time and coffee intakes with mortality from all-cause and cardiovascular disease (CVD) among US adults. Methods An analysis of a prospective cohort from the 2007–2018 National Health and Nutrition Examination Survey of US adults (n = 10,639). Data on mortality were compiled from interview and physical examination data until December 31, 2019. Daily sitting time was self-reported. Coffee beverages were from the 24-hour diet recall interview. The main outcomes of the study were all-cause and cardiovascular disease mortality. The adjusted hazard ratios [HRs] and 95% confidence intervals [CI] were imputed by Cox proportional hazards regression. Results Among 10,639 participants in the study cohort, there were 945 deaths, 284 of whom died of CVD during the follow-up period of up to 13 years. Multivariable models showed that sitting more than 8 h/d was associated with higher risks of all-cause (HR, 1.46; 95% CI, 1.17–1.81) and CVD (HR, 1.79; 95% CI, 1.21–2.66) mortality, compared with those sitting for less than 4 h/d. People with the highest quartile of coffee consumption were observed for the reduced risks of both all-cause (HR, 0.67; 95% CI, 0.54–0.84) and CVD (HR, 0.46; 95% CI, 0.30–0.69) mortality compared with non-coffee consumers. Notably, joint analyses firstly showed that non-coffee drinkers who sat six hours or more per day were 1.58 (95% CI, 1.25–1.99) times more likely to die of all causes than coffee drinkers sitting for less than six hours per day, indicating that the association of sedentary with increased mortality was only observed among adults with no coffee consumption but not among those who had coffee intake. Conclusions This study identified that sedentary behavior for more than 6 h/d accompanied with non-coffee consumption, were strongly associated with the increased risk of mortality from all-cause and CVD.
Vay Develops Advanced Automotive Solutions With NVIDIA DRIVE AGX | NVIDIA Blog
Vay, a Berlin-based provider of automotive-grade remote driving technology, is offering an alternative approach to autonomous driving with NVIDIA DRIVE AGX.
Introducing Copilot+ PCs - The Official Microsoft Blog
An on-demand recording of our May 20 event is available. Today, at a special event on our new Microsoft campus, we introduced the world to a new category of Windows PCs designed for AI, Copilot+ PCs. Copilot+ PCs are the fastest, most intelligent Windows PCs ever built. With powerful new silicon capable of an incredible...
Our mission is to ensure that AGI (Artificial General Intelligence) benefits all of humanity.
Systems that start to point to AGI* are coming into view, and so we think it’s important to...
From AI to Agents to Agencies: The Next Evolution of Artificial Intelligence
Two years ago, I wrote about the transformative potential of AI Agents - autonomous systems that could break down complex tasks and execute them without constant human intervention.
I'm sure you agree that it has become impossible to ignore Generative AI (GenAI), as we are constantly bombarded with mainstream news about Large Language Models (LLMs). Very likely you have tried…
what can language model embeddings tell us about whales speech, and decoding ancient texts? (on The Platonic Representation Hypothesis and the idea of *universality* in AI models)