Opinion | Sayonara, Sora: OpenAI Says Fun Time Is Over - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Opinion | Sayonara, Sora: OpenAI Says Fun Time Is Over</a> <font color="#6f6f6f">WSJ</font>
Could not retrieve the full article text.
Read on Google News: OpenAI →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
opinion
From Next.js to Pareto: What Changes and What Stays the Same
You know Next.js. You know file-based routing, layouts, loaders, SSR. You probably also know the pain: server components vs client components, the "use client" dance, mysterious hydration errors, and a 233 KB client bundle before you write a single line of app code. Pareto gives you the same SSR patterns — but without the complexity. Standard React components, Vite instead of Webpack/Turbopack, and a 62 KB client bundle. This post walks through exactly what changes when you move from Next.js to Pareto, and what stays familiar. The mental model shift Next.js (App Router): Every component is a server component by default. Want useState ? Add "use client" . Data fetching happens via async server components or route-level generateMetadata . You're constantly thinking about the server/client bo
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Analyst News

Multipath Channel Metrics and Detection in Vascular Molecular Communication: A Wireless-Inspired Perspective
arXiv:2604.01362v1 Announce Type: cross Abstract: Motivated by classical communications engineering, early works in molecular communication (MC) largely adopted established modeling and signal processing concepts from wireless electromagnetic communication systems. In the context of the human cardiovascular system (CVS), MC channel models evolved from simple unbounded and single-duct environments mimicking individual blood vessels to complex vessel network (VN) topologies, generally at the expense of analytical tractability. Up until now, this has largely prohibited rigorous communication-theoretic analysis of large-scale VNs. In this work, we leverage a recently established closed-form analytical channel model for VNs, named mixture of inverse Gaussians for hemodynamic transport (MIGHT),





Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!