Results for “context engineering”

…beyond specialized data-analysis languages. His route into engineering was circuitous. The dissertation attracted more interest from computer scientists than economists, and he received no academic offers. He declined a BlackRock offer to…

…improved at many of those tasks. After Shopify came “angel engineering”: roughly three-month stints solving infrastructure problems at friends’ companies in exchange for some equity. These included Readwise, Replicate, and Causal. At…

…as a source of reasonably good data at low cost relative to engineering salaries and compute. A hypothetical comparison—$10 for a human data point versus one-tenth of a cent for a generated one—illustrates the incentive, rather than…

…the preceding year, when 4K tokens was the commonly understood context limit. Vanilla transformers’ quadratic scaling with context length looked prohibitive for the million- or ten-million-token workloads he imagined. The interviewer raises…

…Nikhila Ravi describes arriving at AI research through engineering rather than a PhD. After studying engineering at Cambridge, she reconsidered a planned medical degree, spent a gap year coding and contracting, and received a scholarship to…

…Open Source Models, and GPUs and Inference. - Application engineering: Retrieval-Augmented Generation, Evals and LLM Ops, Code Gen and Dev Tools, and AI Agent Applications. - Organizations: AI in the Fortune 500 and AI Leadership, with a…

…origins to the newly released Segment Anything Model. The engineering problem runs through both: converting visual recognition into a useful application requires data preparation, a clear task, and a model that can run where it is needed.…

…considers the Andromeda Cluster useful in its original context, but would not recommend copying the strategy at the time of the conversation: additional financing and compute sources had reduced the opportunity. A host notices an apparent…

An agent researches a problem, loses its context between runs, then repeats the work. Early in the conversation with Shopify CTO Mikhail Parakhin, that practical problem introduces two approaches to agent memory: Tobi favors QMD, while…

…data: - Qualitative interviews supply life history and personal context, including experiences whose relevance may be difficult to anticipate. - Observed behavior, such as transactions, supplies base statistics about what people do. -…

…not establish competence with another. Yegge distinguishes AI engineering, which he describes as building AI-enabled applications, from vibe coding, his movement to replace established software-production practices with agent-driven work.…

…Figma components to codebase components. That mapping supplies context through MCP, the tool connection used here to pass Figma information to coding agents, so an implementation can reuse the team’s existing components. Setup is…