Results for “context engineering”

…They also published a post on Generalizing an LLM from 8k to 1M Context using Qwen-Agent. {% if medium == 'web' %} Table of Contents [TOC] {% else %} The Table of Contents and Channel Summaries have been moved to the web version of this…

…broader thesis is that patient–clinician conversations supply context for diagnoses, treatment, claims and payments. Chai describes his work on clinical decision support as bringing together patient context, payer guidelines and medical…

…SOTA claim on ARC-AGI-2: Extra API additions: effort control, context compaction, and advanced tool use. And Claude Code is now bundled with Claude Desktop, with Claude for Chrome and Claude for Excel rolling out to even more users. The…

…agentic data, interaction software and infrastructure. Head of Engineering Zach Brock was announced as the incoming CEO, while Tim Weingarten remained Head of Product. Adept also reported production deployments with end-to-end workflows…

…on AI scaling over this decade. Documents, OCR, retrieval, and context engineering for real workflowsDocument AI is trending toward end-to-end multimodal parsers with grounding: Baidu introduced Qianfan-OCR, a 4B end-to-end document…

…asks about the space tool definitions consume in the model’s context window; Rahul does not know whether that constraint has changed. Requesting multiple tools therefore leaves an important question open: how many choices can the model use …

…[TOC] Nous Research AI Discord Summary Breaking the LLM's Context Window Limit with Activation Beacon: @kenakafrosty shared an arXiv paper on Activation Beacon, a new solution that could potentially solve Large Language Models (LLMs)…

…Cognition, alongside work on a research sub-agent for automatic context engineering—preparing context for a large language model. How to benchmark understanding remains open. Freezing a repository, manually curating answers, and asking…

…among open weights they evaluated). Details include 200K context, text-only I/O, 355B MoE total / 32B active, MIT license, and practical deployment note: ~710GB BF16 weights means it won’t fit on a single 8×H100 node (~640GB)…

…Before the 2026 workshops, Osman had articulated his views on engineering and local AI in a June 2025 essay. His earlier autobiographical account supplies additional context for his practical systems experience. Earlier engineering views…

…tasks, e.g. @hqmank’s globe dashboard test. On software engineering, DataCurve said K3 debuted at #3 on DeepSWE, calling it the first open-weights model with frontier-level results there. ARC and cyber remain useful reality checks: ARC…

…as useful for loading existing documentation into a model’s context window, but not something ChatGPT retrieved by default at that time. The speaker reports little discoverability benefit. The clearest engineering failure is useful content …