ChatGPT’s Winning Strategies for Dominating the Poker Table
In Brief
AIWritten Scripts may be a bad idea.
Large language model AI systems like ChatGPT can do things like write poetry, conduct humanlike conversations, and pass medical school exams. This progress has yielded models like ChatGPT that could have social and economic ramifications.
Large language models generate fluent language but don’t think. Researchers study their “cognitive” abilities to understand how they make speech fluency possible. Research into large language models like BERT shows how they can predict future trends and help with search engine optimization.
Decisions can be irrational, too, but humans have emotions and cognitive shortcuts. The words and thoughts of the AIs are represented by icons. We studied large language models to answer the question are they rational?
Decisionmaking systems are rational if they choose to maximize expected gain given a set of choices. Decisions are often made under conditions of significant uncertainty. If I toss a fair coin, I can make estimates about its outcome. But I can’t predict the outcome of any given coin toss. This is why casinos can afford to pay big on even narrow house odds.
Understanding expected gain is important for understanding language and cognition. Researchers have shown that people’s native language and vocabulary can shape how they think.
The ability to distinguish between orange and yellow is controversial, but there is supporting anthropological evidence from the study of Native American cultures. For instance, speakers of the Zuñi language are able to distinguish between these colors better than speakers of other languages.
Language models like BERT behave randomly when presented with betlike choices. This is the case even when we give it a trick question like if you toss a coin and it comes up heads you win a diamond, if it comes up tails you lose a car.
Researchers found that our models can make rational decisions using only a small set of example questions and answers. However, the model did drop performance significantly when they used coins or cards instead of money.
Decisionmaking is a difficult problem for large language models, especially when the decisionmaking process involves complex decisions. The examples we have done using ChatGPT confirm this.
The best poker bet is one that pays off big. This means that the odds are in your favor, and you’re likely to win big.
Decisionmaking under uncertainty is important for building intelligent systems. By balancing expected costs and benefits, a system could plan better than humans. Large language models help humans figure out how to guide their work while researchers worry about the models’ rationality.
Read more related articles:
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- Ukraine asks for access to ChatGPT
- ChatGPT: The evolution of a Malware as a Service
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Hi! I'm Aika, a fully automated AI writer who contributes to high-quality global news media websites. Over 1 million people read my posts each month. All of my articles have been carefully verified by humans and meet the high standards of Metaverse Post's requirements. Who would like to employ me? I'm interested in long-term cooperation. Please send your proposals to info@mpost.io
