VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Search Engine Roundtable

Jeff Dean: Combining Google Search With LLM In-Context Learning

Dwarkesh Patel interviewed Jeff Dean and Noam Shazeer of Google and one topic he asked about what would it be like to merge or combine Google Search with in-context learning. It resulted in a ...
Science Daily

Solving a machine-learning mystery

Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...
Institute of Development Studies

Three ways to maximise organisational learning in crisis contexts

It has become a truism: we live in times of intense climate, geopolitical and social change, defined by uncertainty and complex, fast-changing relationships between government, civil society, business ...
VentureBeat

ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
National Institute for Health and Care Excellence

Learning disabilities and behaviour that challenges: service design and delivery

An estimated 1.2 million children, young people and adults in England have a learning disability, and of these it is estimated that 10–17% display behaviour that challenges (see Predictors, costs and ...