Trump's Iran war death toll climbs to 13 after all crew onboard US refueling plane died in crash Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back I've spent 25 years treating patients with autism. This is the truth about the condition that many people don't want to hear: DR MAX PEMBERTON'Comatose' Mojtaba Khamenei'is UNAWARE there is a war on and has no idea he is supreme leader', report says - despite regime issuing his'first statement' Iran-linked cyberattack on US is'first drop of blood' as experts reveal alarming new threat to homeland Pete Hegseth melts down over'fake headlines' on Strait of Hormuz chaos as US hits Iran with'heaviest' day of fire yet Formula One set to CANCEL next month's Bahrain and Saudi Arabia races amid war in the Middle East - leaving a month-long gap in the calendar Trump insiders fear Operation Epic Fury is suddenly at risk over a new threat they're struggling to contain: MARK HALPERIN Pete Hegseth challenges Iran's'wounded and disfigured' new Ayatollah to appear on camera I worked with Carolyn Bessette. This is the'messy' truth about what she was REALLY like in secret. After she met JFK Jr she tried to hide it... but we all knew the nighttime gossip The disturbing truth about the link between alcohol and cancer and whether YOU could be at risk... as the Princess of Wales reveals her relationship with drinking has changed since beating the disease NFL fans left divided as team replace historic logo with'boring' new design as part of franchise rebrand Trump slammed after lifting oil sanctions on Russia as gas prices skyrocket: 'It's a betrayal' Friday the 13th linked to biblical end-times prophecy rooted in Jesus' betrayal Friday the 13th and its reputation of bringing bad luck has been tied to an ancient prophecy of global destruction rooted in the betrayal of Jesus Christ. In an oddity of the modern calendar, Friday the 13th has come again, just one month after arriving on February 13, 2026.

More than a decade after the triple meltdown at the Fukushima Daiichi power plant, Japan is again turning to nuclear power as it struggles to reach its emissions targets and bolster its energy security. In a draft strategic energy plan due to be approved by the cabinet this month, the trade and industry ministry signalled it was ditching attempts to lessen Japan's reliance on nuclear power in the wake of the Fukushima disaster – the world's worst nuclear accident since Chornobyl 25 years earlier. The document dropped a reference to "reducing reliance" on nuclear energy that had appeared in the three previous plans, and instead called for a "maximisation" of nuclear power, which will account for about 20% of total energy output in 2040, based on the assumption that 30 reactors will be in full operation by then. The plan envisages a share of between 40% and 50% for renewable energy – compared with just under a third in 2023 – and a reduction in coal-fired power from the current 70% to 30-40%. The push to restart reactors idled since the plant was struck by a tsunami triggered by a magnitude-9.0

Emotions play important epistemological and cognitive roles in our lives, revealing our values and guiding our actions. Previous work has shown that LLMs display biases in emotion attribution along gender lines. However, unlike gender, which says little about our values, religion, as a socio-cultural system, prescribes a set of beliefs and values for its followers. Religions, therefore, cultivate certain emotions. Moreover, these rules are explicitly laid out and interpreted by religious leaders. Using emotion attribution, we explore how different religions are represented in LLMs. We find that: Major religions in the US and European countries are represented with more nuance, displaying a more shaded model of their beliefs. Eastern religions like Hinduism and Buddhism are strongly stereotyped. Judaism and Islam are stigmatized -- the models' refusal skyrocket. We ascribe these to cultural bias in LLMs and the scarcity of NLP literature on religion. In the rare instances where religion is discussed, it is often in the context of toxic language, perpetuating the perception of these religions as inherently toxic. This finding underscores the urgent need to address and rectify these biases. Our research underscores the crucial role emotions play in our lives and how our values influence them.

Active Learning (AL) addresses the high costs of collecting human annotations by strategically annotating the most informative samples. However, for subjective NLP tasks, incorporating a wide range of perspectives in the annotation process is crucial to capture the variability in human judgments. We introduce Annotator-Centric Active Learning (ACAL), which incorporates an annotator selection strategy following data sampling. Our objective is two-fold: (1) to efficiently approximate the full diversity of human judgments, and (2) to assess model performance using annotator-centric metrics, which emphasize minority perspectives over a majority. We experiment with multiple annotator selection strategies across seven subjective NLP tasks, employing both traditional and novel, human-centered evaluation metrics. Our findings indicate that ACAL improves data efficiency and excels in annotator-centric performance evaluations. However, its success depends on the availability of a sufficiently large and diverse pool of annotators to sample from.

Behavioral experiments on the trust game have shown that trust and trustworthiness are universal among human beings, contradicting the prediction by assuming \emph{Homo economicus} in orthodox Economics. This means some mechanism must be at work that favors their emergence. Most previous explanations however need to resort to some factors based upon imitative learning, a simple version of social learning. Here, we turn to the paradigm of reinforcement learning, where individuals update their strategies by evaluating the long-term return through accumulated experience. Specifically, we investigate the trust game with the Q-learning algorithm, where each participant is associated with two evolving Q-tables that guide one's decision making as trustor and trustee respectively. In the pairwise scenario, we reveal that high levels of trust and trustworthiness emerge when individuals appreciate both their historical experience and returns in the future. Mechanistically, the evolution of the Q-tables shows a crossover that resembles human's psychological changes. We also provide the phase diagram for the game parameters, where the boundary analysis is conducted. These findings are robust when the scenario is extended to a latticed population. Our results thus provide a natural explanation for the emergence of trust and trustworthiness without external factors involved. More importantly, the proposed paradigm shows the potential in deciphering many puzzles in human behaviors.

Dear Prudence is Slate's advice column. For this edition, Alicia Montgomery, Slate's vice president of audio, will be filling in as Prudie. My friend Kari and I have been close since we were college roommates (we are now just about 40). Kari has been with her long-distance girlfriend Lora for the last four years, and recently Lora has been talking about moving to Kari and my town in order to better facilitate having a baby. The road for them is going to be long, given the mechanics and their ages, but they have all systems go from their doctors. The problem is that I know Kari is not 100 percent committed to Lora; she says she's not sure she's the one and has built (but not, to my knowledge, deployed) dating profiles on multiple sites and expresses jealousy to me quite often about my adventurous dating life.

I am scrolling idly through TikTok when I see her, drag queen Bijou Bentley performing her routine to a remix of Nicki Minaj's Anaconda. With her ponytail and green twin-set, I immediately recognise that she is not just giving the audience haute couture – this is cosplay. If you have played it, she was your assistant, too. She is the heart of the game, your adviser, your companion. She is a yellow dog in snappy office dress, and she is always so happy to see you.

As Smith observes, a computer can be programmed to detect instances of the word "betrayal" in scanned texts, but it lacks the concept of betrayal. Therefore, if a computer scans a story about betrayal that happens not to use the actual word "betrayal," it will fail to detect the story's theme. And if it scans text that does contain the word, but without deploying the concept of betrayal, the computer will erroneously classify it as a story about betrayal. Due to the rough correlation that exists between contexts in which the word "betrayal" appears, and contexts in which the concept is deployed, the computer will loosely simulate the behavior of someone who understands the word--but, says Smith, to suppose such a simulation amounts to real intelligence is like supposing that climbing a tree amounts to flying.

The new Star Wars movie Solo is an enjoyable action-comedy, but it fails in one important area: really exploring how Han Solo developed his cynical, jaded attitude. The movie also mostly skips over Han's time as an Imperial soldier, which fantasy author Erin Lindsey feels is a big mistake. "I wanted to see Han learning to become a pilot, going up against the norms and expectations of the military, deciding it wasn't for him--or it deciding he was not for them," Lindsey says in Episode 312 of the Geek's Guide to the Galaxy podcast. Science fiction author Matthew Kressel agrees, noting that a brief sequence of trench warfare is one of the movie's most interesting set pieces. "We could show Han in the trenches," he says, "seeing how ugly war is, and maybe coming out of that a little bit darker, a little bit world-weary."

In August of 1944, Anne Frank and her family were captured by the Gestapo after spending a gruelling two years hidden in a secret annex within their apartment. The prolific diarist's work would posthumously bring her fame and recognition the world over. But, to this day, no one has been able to identify who was behind the betrayal that led to her death in a concentration camp. Fast forward 73 years, and a former FBI agent is betting artificial intelligence can help crack the mystery. Retired sleuth Vincent Pankoke, and his team of investigators (comprised of forensic scientists and members of the Dutch police force), are partnering with Amsterdam-based data company Xomnia on the ultimate cold case. As part of the newly-opened enquiry, a specially developed algorithm will scour reams of documents from the period.