Unified multi-layer caching for Node.js with memory, Redis, stampede prevention, and invalidation helpers. - flyingsquirrel0419/layercache
Hey folks, just a heads-up for anyone running Qwen3.6 through `llama-server`. I ran into an issue where the `preserve_thinking` parameter wasn't working as expected, even though I had it explicitly enabled in my `models.ini` config. After some digging, I found that **extra spaces in the JSON string are breaking the parser** for this specific parameter in my build. ❌ **Does NOT work:** `chat-te
I ran a pre-registered robustness study on Meta's V-JEPA 2.1 across all four released model sizes (80M → 2B). 322-cell sweep Three findings worth flagging: **1. Dense features are partitioned.** M2 (representational drift between clean and perturbed clips, measured as cosine distance on temporal-gradient vectors) predicts downstream task failure on DAVIS for temporal corruption (frame drops r=0.3
There’s a deep, forbidding moat that surrounds Nvidia—and it has nothing to do with hardware.
dropping this in the team channel monday. good template for building our own skill packs.
the section on context retention across hours is the only part that matters. read that — skip the rest until you need it…
less hype than usual. real patterns from teams shipping with cursor — migrations, reviews, the boring stuff.
small, readable, doesn't try to be a framework. clone this instead of starting fresh on your next agent integration…
You can now automate time-based traffic movement for Vercel Flags using progressive rollouts. Unlike weighted splits which maintain stable traffic distribution for experiments, progressive rollouts automatically advance through a predefined...
I built a markdown web renderer for AI agents. Instead of taking expensive screenshots and piping them through vision models, TextWeb renders web pages as markdown that LLMs can reason about natively. Full JavaScript execution, interactive elements annotated. It provides a CLI and an MCP server. You can find it here: [https://github.com/woheller69/textweb](https://github.com/woheller69/textweb)
felt seen. short, sharp essay on planning-heavy work and where AI quietly hurts.
The Vercel Sandbox firewall now supports forwarding specific requests to a proxy. This can be useful to log, debug, or transform HTTP requests or responses initiated from a sandbox.
Scale AI and similar services charge a lot for annotation. MTurk is cheap but the quality is horrible for anything requiring real domain understanding. For small teams that need a few thousand labeled examples to calibrate their evals or fine tune a model, there seems to be no good middle ground. How is everyone handling this? Are you doing it manually or has anyone found something that actually
quietly the most useful gemini update in months. if you ship doc-heavy products, this is the one that matters.
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One could say in the first quarter-century of my life, that while I was always fascinated by programming, I could never overcome the guilt of not really knowing whether the …
this is the actual headline of the week. ignore the model news for a second — if this lands, the JS toolchain conversation shifts for everyone. vite, esbuild, node-as-default.
How Superset built the IDE for AI coding agents on Vercel, running a dozen parallel agents per developer and 600 preview deployments a day.
the most honest model write-up i've read this year. not hype, not doom — a working mathematician walking through brilliance and breakage…
uncomfortable read if you're shipping AI-edit features. the failure mode is subtle and consistent across model families…
Release 0.131.0-alpha.5