Data-driven decision making:Enterprise AI systems can analyze vast amounts of structured and unstructured data, enabling organizations to make more informed decisions. Deriving meaningful insights from this data empowers companies to identify trends, predict customer behavior, and optimize their operations...
What Does AI Have to Do With the Brain? What more immediate example of intelligence do we have than ourselves? And where is the seat of intelligence? The brain. Many definitions of artificial intelligence include a comparison to neurons, brains, or human behavior. Some take it further, zeroin...
Learn what is deepseek, how does it work, advantages, & limitations. Explore use cases & how deepseek is different from other AI models
Common attributes:Both depend on large amounts of data for training and decision-making (though the training data for generative AI can be orders of magnitude larger). Both learn patterns from the data and use that “knowledge” to make predictions and adapt their own behavior. Optionally, both...
Emergent goals.These are goals the AI system advances. Misalignment is when one or more of these goal types does not match the others. The following are the two main types of misalignment: Inner misalignment.This is a mismatch between goals 2 and 3 -- what is written in code and what th...
decisions they should be allowed to make, both in terms of industry verticals and specific applications within them. This is an issue in the medical industry, for example, whereemergent medical datacan be used to gather medical information from an individual's seemingly unrelated behavior patterns....
Research on multi-agent systems has demonstrated instances of emergent intelligence, which arise from the interaction of independent behaviors. Examples of such systems include flocking behavior in birds, ant colonies, and stock market dynamics, where the collective intelligence emerges from the interplay...
When you think of a supercomputer, what do you see in your mind's eye? A gigantic mainframe like ENIAC? A sinister emergent intelligence like HAL? Buildings full of GPUs, or maybe a single massive chip with a thousand cores? The question of what constitutes a supercomputertechnicallydepends ...
We are very concerned about how the rapid deployment of increasingly powerful AI systems will impact society in the short, medium, and long term. We are working on a variety of projects to evaluate and mitigate potentially harmful behavior in AI systems, to predict how they might be used, an...
Capturing and leveraging emergent/unplanned benefits. Key Success Characteristic 2. Discipline Research by Cooper found that the difference between the winners and the losers is often not so much that the losers don’t engage in portfolio management, but rather that they don’t do it consistently ...