between the filesystem and the token window sits a three-stage pipeline. the context constructor selects and compresses context from the filesystem into a token-budget-aware input. it queries recency and relevance metadata, applies summarization, and produces a manifest
LLMS
-
Three Tiers of Persistent Context Explained
By
–
the paper defines three tiers of persistent context, each with different lifecycles. scratchpads (/context/pad/) are temporary working notes scoped to a task. think of them as the agent's rough draft space. episodic memory (/context/memory/episodic/) holds session-bounded
-
Unix principle applied to AI context
By
–
"everything is a file" becomes "everything is context." CSIRO Data61 and ArcBlock published a paper applying the oldest Unix principle to the newest AI problem. they propose treating memory, tools, knowledge, and human input as a mounted filesystem that agents browse at runtime
-
Leveraging Multi-Model AI for Enhanced Productivity and Reliability
By
–
If you can afford it, the best thing you can do for yourself, your productivity, and work reliability is to be fully multi-modelar.
-
Reasoning requires basic knowledge for effective search guidance
By
–
You still need a bit of knowledge in any reasoning, just to guide you in where to look. For instance, you'll do better search on geopolitics if you know a bit about the general trends. Qwen just demonstrated that this base level of knowledge can be attained in a very compact
-
4B model rivals 120B on knowledge, ideal for agentic core
By
–
It's crazy that a 4B model can match GPT-OSS-120B **even on knowledge benchs** like MMLU and GPQA! Knowledge was long a limitation of smol models ; not anymore. This 4B could be a good candidate for the "agentic core" model described by @karpathy
-
LM Studio Model Performance: GPT OSS 120B Impresses
By
–
I’ll believe it when I see it. So far I have not been impressed with any other model in LM studio aside from GPT OSS 120B.
-
QueryWeaver GitHub Project Promotes AI-Related Categories
By
–
QueryWeaver GitHub: (don't forget to star )
-
Open-Source Text-to-SQL Solution Tackles LLM and Schema Issues
By
–
Finally! A Text-to-SQL solution that actually works!
— Akshay 🚀 (@akshay_pachaar) 2 mars 2026
(and it's open-source)
When Text-to-SQL doesn’t work, we often blame the LLM or poor prompt engineering.
But the real issue is usually the schema.
Let me explain:
You ask: “Which publishers have received royalty payments… pic.twitter.com/OCa7S8Z3v0Finally! A Text-to-SQL solution that actually works! (and it's open-source) When Text-to-SQL doesn’t work, we often blame the LLM or poor prompt engineering. But the real issue is usually the schema. Let me explain: You ask: “Which publishers have received royalty payments
-
Alibaba Releases Qwen 3.5 Models
By
–
Alibaba released a new family of Qwen 3.5 models with a "strong multimodal base for lightweight agents." – Qwen3.5-0.8B – Qwen3.5-2B – Qwen3.5-4B – Qwen3.5-9B Small and open-source models have gained significant value since OpenClaw was introduced. Testing time