Jackie (short for jack-o'-lantern) owes her unique colors to a mixture of chemical compounds. Breakthroughs, discoveries, and DIY tips sent every weekday. A rare and seasonally-colored lobster is joining spiders, bats, and even some oozing fungi as some of nature's best Halloween ambassadors. Jackie is a calico lobster and the odds of catching a crustacean like this are about one-in-20 million, according to the Marine Science Center outreach coordinator Sierra Munoz. This makes Jackie even more rare than the center's other recent star, Neptune the blue lobster .

Recently, with the chain of thought (CoT) prompting, large language models (LLMs), e.g., GPT-3, have shown strong reasoning ability in several natural language processing tasks such as arithmetic, commonsense, and logical reasoning. However, LLMs with CoT require multi-step prompting and multi-token prediction, which is highly sensitive to individual mistakes and vulnerable to error accumulation. The above issues make the LLMs need the ability to verify the answers. In fact, after inferring conclusions in some thinking decision tasks, people often check them by re-verifying steps to avoid some mistakes. In this paper, we propose and prove that LLMs also have similar self-verification abilities. We take the conclusion obtained by CoT as one of the conditions for solving the original problem. By performing a backward verification of the answers that LLM deduced for itself, we can obtain interpretable answer validation scores to select the candidate answer with the highest score. Experimental results demonstrate that the proposed method can improve the reasoning performance on various arithmetic, commonsense, and logical reasoning datasets. Our code is publicly available at: https://github.com/WENGSYX/Self-Verification.

Pepper has become the de facto robot of the decade. It's 2019 and we still don't have adorable robot butlers in our homes to deliver ice cream while we lounge on the sofa or tidy up our floor-drobe after an especially busy week. And yet, as the decade draws to a close, we're also living in the most exciting era for robotics we've ever seen. Not only are the robots we're building more advanced than ever, but also we're having discussions about the roles robots should play in our lives, whether they should have rights and what our relationship with them should look like. The 2010s have given us robots that can care for us, robots that can wow us and robots that give us the willies.

Your story in this week's issue, "Asleep at the Wheel," draws on a real incident in which the San Francisco S.P.C.A. hired a robot security guard to deter homeless people from camping out on its property. What was it about that incident that caught your attention and inspired a story? We talk about depersonalization--of the migrants at the border, for instance, or of the hordes threatening us from their "shithole countries," as our chief executive so eloquently expressed it--but here it is, the ultimate nonperson, a machine, keeping order in our streets. Truly, we are living in one of the bad sci-fi flicks of the nineteen-seventies. In San Francisco, the S.P.C.A. lost the battle and the robot was fired.

The staff at John & Tony's Steakhouse in West Chicago know the couple well: There's 54-year-old John – a genial man with a big, partially toothless smile who works in truck deliveries – and his wife, Jackie, a petite, dark-haired beauty in a wheelchair whose favorite dish is bacon-wrapped dates. The inseparable pair are staples at John & Tony's, and it's their annual dining spot for celebrating Valentine's Day – but the wait staff are accustomed to taking other reservation calls, too, from people who simply want to sit near them to observe John's doting love. Because Jackie is no normal suburban wife; she doesn't walk, talk, laugh or even eat her beloved dates. Instead, she's a life-sized doll that John'married' on the Jerry Springer show years ago, but he treats her like she's a human princess, gazing adoringly at and chatting away to his silent bride (as strangers look on, aghast.) John and Jackie are the stars of new documentary Silicone Soul, which chronicles the lives of men who've fallen in love with dolls – as well as other doll enthusiasts who have interests and motivations separate from sex or romance, such as a female artist who uses dolls for photography and friendship.

A US company claims to already know the nominations and winner of Best Picture for next months annual Academy Awards – aka the Oscars, by using artificial intelligence. The Massachusetts based start-up, Luminoso, unveiled its list (see below) almost two weeks before voting for the list of nominees officially closes (January 24) – and more than a month before the awards takes place at the Dolby Theatre in Hollywood (February 26). The firm generated the results by first pulling together over 84,000 reviews written by movie goers (not critics) which have been published on the IMDB website over the past four years (2013-2016) . It then used its Natural Language Processing software, 'Luminoso Analytics', to analyze the text and identify correlations between topics discussed in the reviews and the eventual Oscar nominees and winners. It found that certain terms, including "narrative," "cinematography," "plot," "visuals," "stunning," "experience," and "masterpiece," were more prevalent in reviews of moves that later went on to be nominated and/or win the Oscars.

Can the language used in movie reviews hold the tea leaves revealing the winners of the Academy Awards? That's the hypothesis of Luminoso Technologies, an artificial-intelligence startup that specializes in natural-language processing, which has already declared the likely best-picture winner of the 2017 Academy Awards before the nominations are even out: Pablo Larraín's biopic "Jackie," starring Natalie Portman as Jacqueline Bouvier Kennedy. Here's the methodology: The company analyzed user movie reviews for 2013-15 in IMDb, focusing on the 50 most popular movies of each year, to see if there was a correlation behind the concepts that appeared in their language and the eventual Oscar nominees that year. Luminoso's software found certain specific concepts -- such as "cinematography," "masterpiece," "stunning," "visuals" and "experience" -- were highly correlated with films that received nominations. Concepts like "narrative" had less correlation with Oscar nods, and a few (like "CGI" and "horror") had negative correlation.

A company that successfully predicted that Donald Trump would become the next US president using artificial intelligence, claims to already know the nominations and winner of Best Picture for next months annual Academy Awards – aka The Oscars. The Massachusetts based start-up, Luminoso, unveiled its list (see below) almost two weeks before voting for the list of nominees officially closes (January 24) – and more than a month before the awards takes place at the Dolby Theatre in Hollywood (February 26). The firm pulled together over 84,000 reviews written by movie goers (not critics) which have been published on the IMDB website over the past four year (2013-2016) . It then used its Natural Language Processing software, 'Luminoso Analytics', to analyze the text and identify correlations between topics discussed in the reviews and the eventual Oscar nominees and winners. It found that certain terms, including "narrative," "cinematography," "plot," "visuals," "stunning," "experience," and "masterpiece," were more prevalent in reviews of moves that later went on to be nominated and/or win the Oscars.

Arrival Amy Adams stars in this elegant, involving science-fiction drama that is simultaneously old and new, revisiting many alien-invasion conventions but with unexpected intelligence, visual style and heart. The Eagle Huntress A portrait of a 13-year-old Kazakh girl from Mongolia who defies eons of tradition by learning to hunt with fierce golden eagles is a documentary so satisfying it makes you feel good about feeling good. The Edge of Seventeen Hailee Steinfeld gives a superb performance as a high-school misfit in Kelly Fremon Craig's disarmingly smart teen dramedy, the rare coming-of-age picture that feels less like a retread than a renewal. Elle Paul Verhoeven's brilliantly booby-trapped thriller starring Isabelle Huppert is a gripping whodunit, a tour de force of psychological suspense and a wickedly droll comedy of manners. The Handmaiden The most absorbing feature in years from the South Korean director Park Chan-wook ("Oldboy") is a teasingly witty and elegant puzzle-box of a thriller about two women (played by Kim Tae-ri and Kim Min-hee) pursuing their destinies in 1930s Japanese-occupied Korea.