Kimi K3's 1M context runs mostly on linear attention
Kimi K3's 1M-token window runs on Kimi Delta Attention: hybrid linear attention with a fixed-size state. Why cheap long context still needs context curation.
Further reading
Articles about Context Container
15 articles from the Wire blog, sorted newest first. Return to the Context Container definition for context.
Demand paging for the AI context window
A 2026 systems paper found 21.8% of tokens in agent context windows are wasted. Demand paging treats the AI context window as L1 cache, not full memory.
Claude Fable 5 put a price on context portability
Claude Fable 5 returns refusals as HTTP 200s and retries them on Opus 4.8. The fallback API reveals exactly what agent context survives a mid-task model swap.
File-native agents: when reading files backfires
A 9,649-experiment study found file-native retrieval lifts frontier-model accuracy 2.7% and drops open-source accuracy 7.7%. Match architecture to the model.
What Anthropic's context engineering guides leave out
Anthropic's 2026 trilogy on context engineering, tools, and code execution with MCP each assume the same missing layer: the substrate where context lives.
Why every agent handoff corrupts your context
Every multi-agent handoff is a lossy compression event. Learn which five types of context degrade at agent handoff boundaries and how to preserve them.
Tool-based agent memory: why 2026 benchmarks favor it
Tool-based agent memory exposes store, retrieve, and navigate as callable MCP tools. 2026 benchmarks from Mem0, Memanto, and Wire show why the pattern wins.
TOON vs JSON: why smaller doesn't mean cheaper for LLMs
TOON looks more compact than JSON, but a 9,649-test study found it cost LLMs 38% more tokens. The reason: model training distribution beats format size.
Context Poisoning: When Bad Data Becomes AI Ground Truth
Context poisoning plants false data into an AI agent's memory or RAG index. The model treats it as truth. It's a context engineering problem, not a model bug.
Why Customer Support AI Gives Wrong Answers
AI customer service fails at 4x the rate of other AI tasks. Support bots need five types of context most teams never provide. The model isn't the problem.
Why Product Management AI Gives Wrong Priorities
84% of product teams doubt their products will succeed despite AI adoption. The problem: PM tools see feature requests but not the context behind what to build.
Why Sales AI Fails Without Deal Context
87% of enterprises missed revenue targets despite AI investment. Sales AI needs five types of deal context most teams never provide. The model isn't the issue.
What Is a Context Window?
A context window is the total text an AI model can process at once. Learn how they work, why size isn't everything, and what actually affects performance.
AI agents have too much access
88% of organizations report AI agent security incidents. The root cause is a context engineering failure: agents get all-or-nothing access, not scoped context.
How to Get an MCP Server Without Writing Code
Over 17,000 MCP servers exist but most are generic dev tools. Here's how to create a custom one for your own data without writing a single line of code.
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