AI Quest
The gamified business simulation game for AI decisions
What it does
AI Quest drops your team into real corporate business crunches—an overloaded analyst, a CFO under pressure, a CISO during an attack—and challenges them to pick the AI move that actually works. Say goodbye to dry training PDFs and hello to gamified AI literacy.
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AI Quest: AI Transformation is a game!Mar 2026 · ▲1A game-like quest to help SMBs implement AI with confidence
- ABA business SIM where humans beat GPT-5 by 9.8 XNov 2025 · ▲23
Hi HN, Can current AI systems actually run a business? There’s a growing belief that LLM agents can already manage entire teams, replace the entire software stack or even act as an AI CEO. So we built a controlled, measurable environment to evaluate this premise. Why did we build this benchmark? A modern enterprise operates in a dynamic environment with high uncertainty and incomplete information. The CEO has to deal with delayed consequences, staffing/resource tradeoffs and death by a thousand cuts of failure modes. If we ever want AI systems that can meaningfully make operational or…
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For a while I've been thinking about a Agent that can be interacted with during the game. This interaction could be a simple dialog or a quest. This project I'm working on aims to help the game designer to create dynamic and procedural quest or dialogues, once the Agent has some information about itself to answer the player (it's name, it's age, what it's doing...). Please read the README, take a look at the example and see if this project is somewhat helpful. https://github.com/victorqribeiro/gaia
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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