All content about LLM
Recent developments in large language models (LLMs) highlight their increasing capabilities and competitive landscape. New multimodal models are being released, emphasizing open-source accessibility and scalability, while LLMs are also beginning to replace smaller utilities in coding, prompting discussions on their impact on educational tools. Additionally, advancements in LLM performance, particularly in coding competitions, showcase their potential to outperform human counterparts, raising considerations for responsible usage in software production.
A new piece by R. Lance Martin surveys context-management patterns for long-running agents, framing context as the scarce resource. He highlights a virtual agent filesystem and prompt caching as practical tactics to sustain extended runtimes.
A recent piece by Simon Willison outlines his LLM bets for 2026: models writing production-quality code and the arrival of robust sandboxing for third-party code. He warns of an inevitable security correction and broader shifts in engineering workflows.
NERD is a terse, English-word-based language that cuts token use by 50-70% and compiles natively to LLVM. It treats humans as reviewers while optimizing source for LLM tokenizers and AI-driven development.
Open-source LLMs crossed into practical, low-cost coding workflows in 2025, while frontier models still lead on deep reasoning and completeness. The next phase demands specialization, hybrid stacks, and new benchmarks...
Simon Willison shares an asynchronous workflow that uses LLM coding agents to run experiments and open PRs. His simonw/research repo demonstrates benchmarks, Pyodide builds and tag-prediction demos.
GPT-5.2 boosts instruction-following, code generation, vision, and long-context reasoning, with Pro delivering deeper synthesis. Trade-offs include higher latency and occasional reasoning stalls that limit everyday use.
Practical patterns to prevent Context Rot and simplify multi-agent coordination. Harness-level tactics—compaction, summarization, hierarchical tooling, and agent-as-tool calls—for resilient, efficient AI agents.
Mistral 3 is an Apache 2.0 open-source family: Ministral 3 (3B/8B/14B) and Mistral Large 3 — a 41B‑active/675B MoE. Multimodal, multilingual, optimized for edge and scalable deployment; available now across major plat...
Volcano Engine’s Doubao‑Seed‑Code debuts at 9.9 yuan for the first month (40 yuan monthly), claims SWE‑Bench parity and launched on Singles’ Day. The release highlights fierce competition as Doubao usage doubles.
Vibe engineering treats LLMs and coding agents as accountable collaborators—prioritizing specs, tests, review and orchestration to produce production-quality software. It's a disciplined alternative to casual 'vibe co...
GPT-5 scored a perfect 12/12 and Gemini 2.5 solved 10/12 under supervised ICPC finals conditions. Their results beat top human teams and underscore LLMs' growing algorithmic reasoning and enterprise promise.