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Headlines · 2

  1. Open-source last30days agent skill trends on GitHub for cross-platform research

    The GitHub Trending Python list features mvanhorn/last30days-skill, an open-source "agent skill" that searches Reddit, X, YouTube, Hacker News, Polymarket and the web in parallel and has an AI agent synthesize a cited brief. The project README says it is MIT-licensed with no tracking, ships 2,700+ tests, and installs via the Claude Code plugin marketplace, npx skills, or Grok Build; Reddit, HN, Polymarket and GitHub are said to work with zero configuration. The README also says it tracks the current v3 pipeline and ranks results by engagement signals such as upvotes, likes and prediction-market money, all of which are the project's own claims.

    GitHub Trending · Python · 🔥 0
  2. AI forecasting models edge out human superforecasters as startups chase the market

    Several startups are commercializing AI forecasting models that aim to predict stock moves, geopolitics and even pop-chart performance, according to an AFP report. FutureSearch co-founder Dan Schwarz said his models are already competitive with top "superforecasters" and predicted that by 2030 people will view past decision-making as "Stone Age thinking"; two AI models took the top two spots in a competition hosted by forecasting platform Metaculus last month, where humans and non-humans both competed. Preseen co-founder Veniamin Veselovsky said his system turned a $35 stake into $1.9 million in seven months, while colleague Theo Summer stressed that AI forecasting assigns probabilities rather than guaranteeing outcomes, cross-checking linked assumptions such as oil prices and Middle East conflict. Mantic co-founder Toby Shevlane said some clients already use its tools for trading decisions and that leading models now generate their own questions about the future and allocate probabilities across outcomes.

    科技新报 · 🔥 0

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