Roughly, a recurring problem when discussing RSI is a lack of specification in intelligence. The jaggedness of intelligence means that we need to discuss thresholds in specific, measurable tasks. The nature of LLMs’ intelligence is shaped very differently than humans,...

Over the past few weeks, a new class of solutions is taking shape: a market-facing representative of the consumer. Muse and Instinct - consumer-side AI agents - can search, evaluate and eventually transact on your behalf. This seems like the natural endpoint of the...

Three of our nine predictions for the next 12 months are: An agent halves its failure rate on new tasks after a month of customer work, without a model upgrade. This will be a practical measure of continual learning. An autonomous AI team beats human-led model...

Making things explicit can help mobilize ecosystems but when creating systemic representations and language itself become cheap, value shifts toward being implicated in the consequences. Go to Source

Microsoft is steadily repositioning Fabric from a unified analytics platform into a governed context layer for enterprise AI. An agent answering a revenue question needs to know which measure applies, how customers and transactions relate, and what information it may...

AI is making workers faster, but most companies aren’t getting richer. The difference comes from the system built around the tools, not the tools themselves. Go to Source