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      "story_id": "gh:1136590548",
      "title": "affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
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      "context": "| Topic | What You'll Learn | |---|---| | Token Optimization | Model selection, system prompt slimming, background processes | | Memory Persistence | Hooks that save/load context across sessions automatically | | Continuous Learning | Auto-extract patterns...",
      "whats_new": "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
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        "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e 140K+ stars | 21K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner The performance optimization system for AI agent harnesses.",
        "From an Anthropic hackathon winner.",
        "A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development."
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        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e 140K+ stars | 21K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner The performance optimization system for AI agent harnesses.",
        "Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.",
        "- Public surface synced to the live repo \u2014 metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 38 agents, 156 skills, and 72 legacy command shims."
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      "context": "On April 10, the house of OpenAI CEO Sam Altman was attacked with a Molotov cocktail by 20-year-old Daniel Moreno-Gama.",
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        "In his missive, he advocated for killing the CEOs of AI companies, and he referred to himself as \u201cbutlerian jihadist\u201d on Instagram (a reference to a war against machines in Frank Herbert\u2019s Dune universe).",
        "Three days prior in Indianapolis, an unknown perpetrator fired 13 shots into the home of local Democratic councilman Ron Gibson while his 8-year-old son was home.",
        "Neither were hurt, but a note reading \u201cNo Data Centers\u201d was left on the doorstep."
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        "Three days prior in Indianapolis, an unknown perpetrator fired 13 shots into the home of local Democratic councilman Ron Gibson while his 8-year-old son was home.",
        "The mood exemplified by inflamed Instagram commenters on these incidents was further reinforced on April 13 when Stanford University released its annual Artificial Intelligence Index, which provides a yearly snapshot of where the industry stands."
      ],
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        "Three days prior in Indianapolis, an unknown perpetrator fired 13 shots into the home of local Democratic councilman Ron Gibson while his 8-year-old son was home."
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      "title": "karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically",
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      "context": "Instead, you are programming the program.md Markdown files that provide context to the AI agents and set up your autonomous research org.",
      "whats_new": "AI agents running research on single-GPU nanochat training automatically One day, frontier AI research used to be done by meat computers in between eating, sleeping, having other fun, and synchronizing once in a while using sound wave interconnect in the ri...",
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        "Research is now entirely the domain of autonomous swarms of AI agents running across compute cluster megastructures in the skies.",
        "The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the \"code\" is now a self-modifying binary that has grown beyond human comprehension.",
        "This repo is the story of how it all began.",
        "The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight."
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        "The agents claim that we are now in the 10,205th generation of the code base, in any case no one could tell if that's right or wrong as the \"code\" is now a self-modifying binary that has grown beyond human comprehension.",
        "It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats."
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        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
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          "baselines_ablations": "yes",
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        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "gh:1136590548",
        "title": "affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "url": "https://github.com/affaan-m/everything-claude-code",
        "source_domain": "github.com",
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        "overall": 8.01,
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          "impact": 8.11,
          "confidence": 7.03,
          "actionability": 6.5
        },
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          "repo"
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          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
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        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "hn:47907707",
        "title": "Show HN: Implit \u2013 Catch fake AI-generated dependencies",
        "url": "https://github.com/build-neurall/implit",
        "source_domain": "github.com",
        "category_label": "Hn",
        "overall": 5.67,
        "metrics": {
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          "novelty": 4.0,
          "impact": 2.88,
          "confidence": 7.45,
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        },
        "badges": [
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          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
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        "title": "Workspace agents",
        "url": "https://openai.com/academy/workspace-agents",
        "source_domain": "openai.com",
        "category_label": "Rss",
        "overall": 4.01,
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          "novelty": 5.1,
          "impact": 2.0,
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        },
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          "third_party_corroboration": "no",
          "reproducibility_details": "no"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      }
    ]
  },
  "lab_notes": {
    "tool_repo_of_the_day": {
      "title": "affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "url": "https://github.com/affaan-m/everything-claude-code",
      "source_domain": "github.com"
    },
    "prompt_workflow_of_the_day": "summarize claim -> evidence -> risk in three passes before acting",
    "tiny_snippet": "uv run python -m msd.run --scheduled"
  },
  "forecast_watchlist": {
    "read_time": "1-2 min",
    "watch_prefix": "Watch:",
    "topics": [
      "agent",
      "llm",
      "cs.ai",
      "cs.lg",
      "rss",
      "cs.cl",
      "python",
      "benchmark"
    ],
    "subscribe": {
      "label": "Subscribe for Daily Emails",
      "url": "mailto:morning-singularity-digest@localhost?subject=Subscribe%20for%20Daily%20Emails"
    }
  }
}