THE ARTIFICIAL INTELLIGENCE DESK
Models, agents, research and the changing economics of machine intelligence.
Artificial Intelligence / News analysis
Anthropic’s new model makes a case for measuring AI by the cost of completed work. The claims still need a defined workload and a quality threshold.
Artificial Intelligence / Explainer
The most persuasive error is the one that sounds ordinary. Reliable AI use starts with a verification process matched to the consequence.
Artificial Intelligence / Analysis
Access to model weights can enable experimentation and local deployment. Training transparency, licensing and operational control are separate issues.
Artificial Intelligence / Explainer
Long-context models can accept more information. Whether they use the right information remains a separate question.
Artificial Intelligence / Explainer
Retrieval-augmented generation can connect an AI model to reliable information. The difficult part is deciding which information deserves to be retrieved.
Artificial Intelligence / Explainer
Reading a picture, a chart and a document requires different checks. A model that accepts all three has not necessarily understood them.
Artificial Intelligence / Analysis
A leaderboard measures a test under particular conditions. It does not settle which system will work best inside your organization.
Artificial Intelligence / News analysis
The May I/O announcements opened a useful debate about persistent search, notification quality, and the difference between a promise and a deployed service.
Artificial Intelligence / News analysis
A retrospective on the April announcement and the questions it raised about distribution, access, and the meaning of a useful assistant.
Artificial Intelligence / Analysis
Smaller models can lower resource needs and widen deployment options. Their value depends on a carefully defined job.
