Results for “context engineering”

…the challenge of catastrophic forgetting remains unresolved. Context and Inference: There is interest in the potential for Titans to achieve a 200k context window with high accuracy, though concerns remain about inference speed and accuracy…

…was verifiability. Math, physics and, secondarily, software engineering offered ways to define an objective value function—a measure for judging results. The open question was how to construct useful measures where a good answer is less…

…announced that Claude can now reference past chats to maintain context, a feature @swyx calls instructive for how they solve problems with transparency and user control. On a related note, Google Cloud provided a guide on implementing…

…uninterrupted price increases. Scarcity also changes which engineering compromises become attractive. CXL enables CPU memory expansion and pooling; the proposed use is to collect older DDR4 and spare memory into racks and attach that…

…portal, not both (thsottiaux). Agents, Benchmarks, and Harness EngineeringAgent evaluation is becoming more long-horizon and workflow-grounded. Bespoke Labs released AutoResearchExam, a benchmark spanning 29 open-ended ML and engineering…

…practical value. The track addressed a concrete debate in agent engineering: how much value comes from a model’s capabilities, and how much comes from the software that connects tools, manages context and orchestrates execution. Latent…

…and code generation capabilities of models like DALL-E. Prompt Engineering and Custom Instructions: In prompt-engineering and api-discussions, users discussed creating and applying custom instructions to GPT models, tool recommendations for…

…opportunities to inform negotiations and orders. Duffy frames context engineering as communication: “At its core is the deeply human skill of communicating clearly.” His redesign emphasized giving models an understandable account of the…

…(Instruct & Thinking): MoE with ~3B active params, 256k–1M context, multilingual (32 languages), aiming at GPT‑5‑Mini/Claude Sonnet parity and shipping FP8 variants. Artifacts across chat, GitHub/cookbooks, API, ModelScope, Hugging Face,…

…emphasizes preventing consequential failures and preserving context between agents that investigate problems and agents that fix them. Raising the floor of agent reliability In a June 17, 2026 post, Gauba argued that evaluation should…

…tool streams, and splitting endpoints for standard vs 1M context sessions; a second thread details the surprisingly large amount of model-specific parser and harness work needed to onboard an OSS model cleanly (details). Distribution and…

…research and inference at Baseten and studies computer engineering at Waterloo. His contributions include an authored account of FLUX.2 image-generation optimization and collaborative writing on high-performance Blackwell…