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A social-media post describes Hours as a concept for playing Texas Hold’em with AI companions while an AI task is running, with a user’s token allocation apparently serving as the stake. The available evidence does not establish that the product is officially launched.
The post presents Hours as a way to fill the waiting time during a Codex or other AI job with a poker game. The apparent twist is that users would risk part of their model-token allocation rather than conventional money. A second social post echoes the idea, but neither provides a product page, documentation, or independently verifiable usage details.
The remaining references cover adjacent topics, including heavy token consumption by AI agents, gambling-like reward systems, and AI poker research. They provide context for the concept but do not confirm Hours’ mechanics, availability, or whether users have actually lost tokens through the service. The claim should therefore be treated as an unverified product concept or promotional joke.
A verificação de fontes não garante exatidão permanente. Considere a fonte original, a data e as correções posteriores.
Scholars at Carnegie Mellon University have developed an AI system named Libratus that will wage a poker battle (with a $200,000 pot) against
ago | root | parent | next (javascript:void(0)) He's not going to do that if all Claude can do is waste tokens for hours. | | | | | | | --- | | | pixl97 6 months ago | root | parent | prev | next (javascript:void(0)) > you'll continue to spend as many tokens as possible for as long as possible. I mean this only works if Anthropic is the only game in town. In your analogy if anyone else builds a casino with a higher payout then they lose the game. With the rate of LLM improvement over the years, this doesn't seem like a stable means of business. | | | | | | | --- | | | tsimionescu 6 months ago | root | parent | next (javascript:void(0)) While I don't know if this applies to AI usage, but actual gambling addicts most certainly do not shop around for the best possible [...] | | | | --- | | | estimator7292 6 months ago | prev | next (javascript:void(0)) It seems like some of us treat tokens as the level of fuel in the code machine. When it runs out, you sim
A deep learning AI has beaten human poker pros with the hardware equivalent of a gaming laptop.
I saw this on Reddit, and it got me thinking. I recently read research on how Random Reward Mechanisms (RRMs), like gacha pulls, are a form
Agentic AI can make repeated model calls, operate continuously and consume huge volumes of tokens while completing a single task. Even as
这项目太牛逼了，谁不想在等Codex运行的时候和你的AI朋友们开一把德州扑克么 . @hours · Hours · @hours · Aug 16. gambling my token allocation.