General Artificial Intelligence (AGI), often referred to as "strong AI," pertains to the theoretical type of artificial intelligence capable of learning and ...
Deep learning is a family within machine learning. A map for choosing signals, models, objectives, and evaluation without promising AGI.
Updating a model is not the same as accumulating knowledge. Learn to measure forgetting, plasticity, transfer, and cost with a temporal matrix.
Von Neumann published no theory of the singularity. Ulam recalled a conversation, Good framed a conditional explosion, and Vinge added mechanisms and a date. Here is how to assess each claim.
A multi-agent system brings together entities with their own observations, goals and actions in a shared environment. The story bounds the costly error: More agents do not mean more intelligence: they can duplicate errors, compete, deadlock or amplify false information. It teaches how to require goals, protocol, permissions and stopping criteria before attributing general capability to a group of agents.
A network does not copy the brain, and a theorem does not guarantee learning. Five axes for auditing advances without turning them into AGI promises.
In May 2025, Anthropic formally activated a higher tier of protections for one of its models. It was not a statement of good intentions: it came with content classifiers and more than a hundred security controls behind it. Telling a document that binds from one that merely declares is a concrete skill, and three signals settle it.
Sharing parameters can help or hurt. This guide shows how to measure positive transfer, interference, task weights, and genuine adaptation.
Whole-brain emulation is a proposal to computationally reproduce a brain's functional dynamics from its measured structure. The story bounds the costly error: It is a hypothetical agenda with uncertainty about required detail, measurement, compute, validation and identity, not an available technology. It teaches how to turn an emulation promise into a chain of independent requirements and tests.
Generating a work proves neither AGI nor creativity. A method for evaluating the artifact, process, selection, and provenance.
«Recent advances toward artificial general intelligence» is a phrase that surfaces every few weeks and almost never says what the advance was measured against. There is a useful operational definition, published in 2019, and a 2024 experiment that teaches you to tell a system that reasons from one that recognizes the shape of the question. That is enough to audit any headline.
A job is not one task, and exposure is not a layoff. A method for measuring assistance, automation, and how their effects are distributed.
This website uses cookies to improve the browsing experience. Cookie policy.
No results. Try different words.
