Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens…
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Context Language Models: Self-Managing Context to Improve Performance and Reduce Compute Costs
Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models t…
Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering
Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addr…
Почему мы спорим о памяти для AI-агентов
На днях наткнулся на статью про память для AI-агентов. Сама статья была вполне типичной: SQLite, хранение контекста, поиск по накопленным знаниям, э…