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catch up on ai/2026-04-13

Monday, April 13, 2026

Merged timeline of 506 items — blog publish times and listing timestamps, cut at midnight UTC. Page 11 of 11.

← 2026-04-122026-04-14 →Calendar
  1. Blog
    Higgsfield’s “Hell Grind” Original Series — synopsis, cast, Seedance 2.0, and the AI slop frame

    Beyond the headline (23 minutes, four days, 100% AI), Higgsfield’s in-product page names the cast, Soul Cinema, and Cinema Studio 3.5. We unpack that listing, keep the tweet embed, and link our AI slop piece—because spectacle and slop are different axes.

    Apr 13, 00:00 UTC
  2. Blog
    holaOS (Holaboss): an open agent environment for workspaces, memory, and long runs

    Holaboss’s holaOS repo frames agents as needing an OS-like layer: runtime, tools, apps, and state that survives across runs. Here is a builder’s map of the thesis, the stack, and the Reddit conversation around “role-holding” workspaces.

    Apr 13, 00:00 UTC
Blog
Introducing MCP servers on explainx.ai — browse, compare, and install alongside the skills registry

MCP servers join the explainx.ai hub: searchable directory pages, per-server profiles, and the same SEO/GEO-friendly patterns we use for skills — with links to the official spec, Anthropic’s introduction, and registry skills like mcp-builder.

Apr 13, 00:00 UTC
  • Blog
    Karpathy-inspired Claude Code guidelines: andrej-karpathy-skills explained (2026)

    A single CLAUDE.md (and Claude Code plugin) encodes Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—derived from Karpathy’s thread and packaged for every repo.

    Apr 13, 00:00 UTC
  • Blog
    What are agent skills? A complete guide for Claude Code, Cursor & MCP (2026)

    Skills are reusable instruction packages for AI coding agents—not one-off prompts. Here is the full picture: anatomy, ecosystem map, token trade-offs, and backlinks to explainx.ai, the MCP directory, and official docs.

    Apr 13, 00:00 UTC
  • Blog
    What is AI slop? A practical definition—and how SEO-GEO thinking helps you avoid it

    Define AI slop, see why volume is outpacing quality, and apply Generative Engine Optimization principles—clear sourcing, data, FAQs—to publish work humans and AI systems can actually trust.

    Apr 13, 00:00 UTC
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