Results for “context engineering”

…coherent outputs exceeding 20,000 words. RAG vs. Long Context: @algo_diver summarized a research paper comparing Retrieval Augmented Generation (RAG) to Long Context (LC) approaches, finding that LC consistently outperforms RAG but at…

…potential for open-source development and collaboration in AI engineering. Aider v0.74.0 Patches Bugs & Boosts Docker: Aider v0.74.0 introduces dynamic changes to the Ollama context window and better support for models like o3-mini and…

…serving costs for long-running agent workloads. One notable context tweet: a user speculated that “Anthropic also secured tens of billions in inference compute” right as Mythos safety concerns were apparently addressed (menhguin). That is…

…enterprise CX surfaces, with Google citing 70 languages, 128k context, and watermarking of generated audio via SynthID in some developer-facing summaries (Logan Kilpatrick, Google DeepMind, Sundar Pichai, Google). Third-party benchmarking…

…prefix-replay / partial-credit schemes can stabilize training. Context management and world modeling are emerging as first-class agent capabilities: @omarsar0 pointed to Meta/CMU work on agentic context management, where agents learn to…

…3 Nano Omni, an open 30B / A3B multimodal MoE with 256K context built for agentic workloads spanning text, image, video, audio, and documents. Distribution was immediate across the stack: OpenRouter, LM Studio, Ollama, Unsloth, fal,…

…in Codex. The common thread is specialization plus persistent context, not generic “agents talking to agents.” Evaluation and harness work remains the real leverage point: Hamel Husain’s updated eval-skills plugin adds an error-discovery…

…to model-based prediction of environments and interactions. Context: why this matters now AMI matters because it is a high-profile, well-capitalized attempt to reopen a question many in industry had tacitly declared settled: is next-token…

…Async SWE Agents, and Long-Context via FilesystemsHarness engineering is becoming a research field of its own: A Tsinghua/Shenzhen paper on natural-language agent harnesses proposed letting an LLM execute orchestration logic from an SOP…

…pure conjecture and not evidence @teortaxesTex. Disclosures and context up frontWhat is factual from the tweets An OpenAI-linked claim circulated that a Navier–Stokes “solution” involved about 10,000 agents working collaboratively @eknight.…

…re-run the eval and expects the score to rise. Specs: 1M-token context, up from 200k for Haiku 4.5. Text and image input, text output. 5-minute cache writes cost $0.125 per 1M tokens ($0.625 above 100K). Other benchmark claims (mostly…

…for IQuest-Q1, a 320B MoE (15B active, 256 experts, 512K context) with 3:1 sliding/full attention and an MTP draft head. Photon 2.6: Moondream’s release runs Qwen3.5 27B at 400+ tok/s on B200. Agent-written kernels: Databricks reached #1 on…