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lout332

HN member
Joined
Wed, Jan 25, 2023, 7:03 PM UTC
HN karma
86
Public activity
36 items

About lout332

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Recent public activity

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  5. comment
    Comment #47068505

    lets meet https://luisfernandoyt.makestudio.app/

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    Comment #46955057

    agreed. local is key. what's your setup?

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    Comment #46954944

    I've been running an experiment for the past few months: full AI integration into my daily life. Not a chatbot I use occasionally. A "symbiotic agent" that reads two files at every…

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    Comment #46714588

    Thanks, noted. Will fix.

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    Comment #46714585

    You're right about the state sync issues with some models. The lighter models (especially Llama) struggle with tracking game state. I've added more Gemini options which handle this…

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    Comment #46714576

    Full game logs are in data_public/comparison/ on GitHub. Each JSON has the complete game state, moves, and messages across all 162 games. https://github.com/lout33/so-long-sucker

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    Comment #46706731

    the interactive demo uses lighter models for cost reasons. The research data (162 games, 90% Gemini win rate) came from longer AI-vs-AI games where strategic depth emerged over 50+…

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    Comment #46700430

    Sure, no problem, I added a new section explaining the game

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    Comment #46699797

    Fixed - donation flow no longer blocks the game. Thanks for the report.

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    Comment #46699757

    Game logs are in data_public/comparison/ - each JSON has the full game state, moves, and messages. For example, check gemini_vs_all_7chips.json to see the alliance bank betrayals i…

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    Comment #46699339

    Full code and raw data: https://github.com/lout33/so-long-sucker

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    Comment #46699335

    Not yet, but I'd be interested in collaborating on one. The dataset (162 games, 15K+ decisions, full message logs) is available. If you know anyone in AI Safety research who'd want…

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    Comment #46699315

    Fair point. The core simulation and data collection was done programmatically - 162 games, raw logs, win rates. The analysis of gaslighting phrases and patterns was human-reviewed.…

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    Comment #46699306

    Used Kimi K2 (the main reasoning model). For the thinking space - we gave all models access to a think tool they could optionally call for private reasoning. Gemini used it heavily…

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    Comment #46699175

    > "Thanks for trying it! I'll look into the 'Pile not found' error and fix it. > > For rules, here's a 15-min video tutorial: https://www.youtube.com/watch?v=DLDzweHxEHg > > On aut…

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    Comment #46698371

    We used "So Long Sucker" (1950), a 4-player negotiation/betrayal game designed by John Nash and others, as a deception benchmark for modern LLMs. The game has a brutal property: yo…

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