The reasoning abilities of Large Language Models (LLMs) are attracting increasing attention. In this work, we focus on causal reasoning and address the task of establishing causal relationships based on correlation information, a highly challenging problem on which several LLMs have shown poor performance. We introduce a prompting strategy for this problem that breaks the original task into fixed subquestions, with each subquestion corresponding to one step of a formal causal discovery algorithm, the PC algorithm. The proposed prompting strategy, PC-SubQ, guides the LLM to follow these algorithmic steps, by sequentially prompting it with one subquestion at a time, augmenting the next subquestion's prompt with the answer to the previous one(s). We evaluate our approach on an existing causal benchmark, Corr2Cause: our experiments indicate a performance improvement across five LLMs when comparing PC-SubQ to baseline prompting strategies. Results are robust to causal query perturbations, when modifying the variable names or paraphrasing the expressions.

The idea that gamers are antisocial grumps who stay up all night eating junk food while playing Call of Duty in their mother's basement is woefully outdated. According to a new survey, about half of all gamers admit they've been playing more since the pandemic started, but nearly three-quarters use it to socialize. Only ten percent of respondents said they munched on junk while gaming, compared to the 37 percent who don't eat at all while playing. Nearly half of respondents kept their gaming to between 8pm and midnight, while just seven percent burned the midnight oil. UK game developer Jagex first came on the scene in 2001 with RuneScape, a popular fantasy massively multiplayer online roleplaying game (MMORPG).

Eating a diet of junk food for just one week was enough to damage part of the brain that stops us eating more when we are already full, research suggests. Study participants who ate an abundance of fast food and high-fat milkshakes had increased cravings for more after seven days. They performed worse on cognitive tests, with results suggesting an area of the brain called the hippocampus was impaired. The hippocampus normally stops us from gorging on more food when we are full by suppressing memories of how tasty it is. When it's not working properly, the memories are more powerful and we are left unable to resist more cake, chocolates and crisps in front of us, the researchers believe.

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Silicon Valley has become obsessed with "disrupting" food. Alarming headlines grab the public's attention -- stories about meat grown in labs, flavorless "Soylent" meal replacements and "chickenless eggs." The tech industry is "disrupting" food by replacing the real with the fake. But other parts of the industry are doing the opposite: replacing the fake with the real. The newest Silicon Valley food revolution isn't about bio-engineering strange new food replacements, but using algorithms and artificial intelligence (A.I.) to transform how real food is marketed and distributed.