Pre-Critical Recursive Cutoff: A Boundary Condition for AI Irreversibility
Article URL: https://zenodo.org/records/18824181 Comments URL: https://news.ycombinator.com/item?id=47645929 Points: 1 # Comments: 0
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Two Subtle Bugs That Broke Our Remotion Vercel Sandbox (And How We Fixed Them)
We use Remotion to render video clips server-side, and we pre-build a Vercel Sandbox snapshot at deploy time so renders can restore it for fast cold starts instead of bundling from scratch on every request. The flow looks like this: next build compiles the Next.js app node scripts/create-snapshot.mjs bundles the Remotion project, uploads it to a sandbox, takes a snapshot, and stores the snapshot ID in Vercel Blob Render workers restore the snapshot instead of re-bundling Last week, two separate bugs caused this to silently break in production. Here's what happened and what we changed. Bug 1: Relative path passed to addBundleToSandbox The @remotion/vercel package's addBundleToSandbox function uploads every file in the bundle directory to the sandbox. Under the hood it reads the directory, c
A Simple Average-case Analysis of Recursive Randomized Greedy MIS
arXiv:2604.01462v1 Announce Type: new Abstract: We revisit the complexity analysis of the recursive version of the randomized greedy algorithm for computing a maximal independent set (MIS), originally analyzed by Yoshida, Yamamoto, and Ito (2009). They showed that, on average per vertex, the expected number of recursive calls made by this algorithm is upper bounded by the average degree of the input graph. While their analysis is clever and intricate, we provide a significantly simpler alternative that achieves the same guarantee. Our analysis is inspired by the recent work of Dalirrooyfard, Makarychev, and Mitrovi\'c (2024), who developed a potential-function-based argument to analyze a new algorithm for correlation clustering. We adapt this approach to the MIS setting, yielding a more di
Samsung s Tiny Recursive Model solves complex puzzles better than giant LLMs
The Tiny Recursive Model proves "less is more," allowing a simple two-layer network to master complex logic puzzles that stump even the largest AIs. The post Samsung’s Tiny Recursive Model solves complex puzzles better than giant LLMs first appeared on TechTalks .
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