Results for “context engineering”

…not just a model property; it breaks failures into goal drift, context corruption, and sparse-reward/irreversible-action issues, and frames the control plane as shifting from prompt engineering to runtime harnesses @ZhihuFrontier Cloudflare…

…for AINews discussions! Devin cut prices, and the 1m token context window Qusar-Alpha might either be the new OpenAI open weights model or Meta's Llama 4, but neither seemed substantial enough to make title story. {% if medium == 'web' %}…

…in-environment data processing. A worked example shows cutting context from 150k to ~2k tokens (98.7% reduction). Strong read for anyone shipping agentic systems: summaries by @omarsar0. Shared memory across apps (Graphiti MCP): A practical…

…model yet,” positioning it around computer use, software engineering, math/science, polished office work, and cybersecurity via @OpenAI, @OpenAI, and @sama The company said Astra was rolling out first to a limited set of organizations, then…

…concerns with phrases like 'email not legally binding' in the context of this controversy. Ragged Attention Masks Essential for Training: Concerns were raised about ragged attention masks needing proper handling to avoid sampling errors…

…risk. AI assistance doesn’t eliminate the need for domain context, codebase familiarity, and reliability engineering practices, so teams optimized for senior-only throughput may see limited gains from juniors even with LLMs. A strategic…

…not just base intelligence. Claude Code and harness engineering context A notable background thread across the dataset is that many engineers now think agent performance is heavily dependent on the harness—system prompts, tools, middleware,…

…reported GPT-4 API speed inconsistencies and explored prompt engineering techniques with GPT-3.5 and GPT-4 Turbo. Problems with DALL-E generating typos in images were noted. Extended context window capabilities were discussed, including…

…availability of DeepSeek R1 on X.com, highlighting its large context window. OpenRouter (Alex Atallah) ▷ #app-showcase (2 messages): AI Agent Engineering, Memory-Augmented Agents, LLMs & Foundation Models, Full-Stack & Backend Systems,…

…Frontier Intelligence” with 2.8T total parameters, 1M-token context, native multimodal input, Kimi Delta Attention (KDA), and Attention Residuals, and said the model is live on Kimi.com, Kimi Work, Kimi Code, and API, with open weights…

…natural reasoning, knowledge acquisition, freelance software engineering with LLMs, sparse attention, unlearning, large language diffusion models, model merging, reasoning-action dilemma, finance LLMs, infinite context, distillation scaling…

…own blogpost), and now 5.2 Thinking xhigh works again. Long Context utilization is also another highlight, with many noticing the MRCR improvement: Not everything is perfect - it still gets the number of R's in strawberry wrong, and…