Results for “context engineering”

…prompting is key to unlocking its potential. Llama-3 8B model context window extension: The Llama-3 8B model can use a 1 million token context window. Extending the context from 8K to 80K tokens improves performance on long-context…

…January 2026 public launch. Earlier academic work also supplied context for its emphasis on testing generalization: according to the February 2026 interview, feedback on protein–small-molecule interaction predictions exposed failures on…

…model evals: GPT‑5.2 vs Opus 4.5 and Gemini 3, costs, and context settings GPT‑5.2 performance is mixed across public evals: On real‑work, agentic tasks, GPT‑5.2 tops GDPval‑AA, overtaking Claude Opus 4.5, but at higher cost—about $620/run …

…interactions over days, weeks or months, supported by a context engine and long-horizon planning. They described an unnamed US healthcare provider coordinating specialist referrals among patients, specialists and referring physicians—a task…

…because it’s partially verifiable. The “conductor” model of engineering: Claims that one developer can run 5–10 agents in parallel, shipping code they don’t fully read, shifting from author to supervisor/conductor (@Yuchenj_UW). A related…

…The September interview credited a roughly 25-person systems engineering team with building and maintaining it. Shared internal and external MCP tools made new product capabilities available to internal agents as well. An assistant…

…outperforms open models with 100% accuracy on 64K context. New 7B merge models combine strengths of different bases. Coxcomb, a 7B creative writing model, scores well on benchmarks. AI Safety and Regulation Discussions: Former OpenAI board …

…Conover established and led open-source language-model engineering at Databricks, where he worked on Dolly. Kotara had served as CTO of LedgerX, a federally regulated derivatives exchange. In June 2024, Conover was Brightwave’s CEO and…

…highlighting a frontier-lab integration of math and kernel engineering. Additionally, discussions around long-horizon agents emphasize context management bottlenecks, introducing Recursive Language Models (RLMs) that manage context…

…a disappointed expectation: in the team’s experience, larger context windows did not reliably produce deep synthesis across disparate material. Recovering a fact and integrating evidence are different capabilities. A needle-in-a-haystack…

…cost-inefficient vs alternatives depending on workload. Context: why Sonnet 4.6 matters (engineering implications)Long-context is becoming “operational,” not just a spec.The launch pushes a 1M token window into the Sonnet tier [@claudeai]. …

…the requested behavior—but Schluntz valued their origin in real engineering work. That realism costs time and tokens. An attempt may read substantial repository context, write code, run it, and revise it repeatedly. Schluntz therefore…