The remains of 42 hunter-gatherers show that the Black Death was already lethal 5,500 years ago. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Ust'Ida I Burial #33; this shared grave contained a boy (aged 12-15 years old) and a girl (aged 13-16 years old) who were found to not be closely related, and plague DNA was obtained from their remains. That they were very close in age but not biologically related, and buried in the same grave, hints at the relationship they might have had when alive. Breakthroughs, discoveries, and DIY tips sent six days a week.

More than just rats and fleas added to the'perfect storm' plague. Photograph of the fresco Trionfo della Morte, taken at its original location in the Camposanto Monumentale in Pisa. The fresco, known as the "Triumph of Death" and attributed to the painter Buonamico Buffalmacco, is not precisely dated; scholarly estimates range from 1335 to 1350. While it does not depict the Black Death explicitly, the selected detail shows victims of an epidemic from diverse social backgrounds, their souls carried off by demons. Breakthroughs, discoveries, and DIY tips sent every weekday.

A 14th century trickster tale was misread as fact. Breakthroughs, discoveries, and DIY tips sent every weekday. Misinformation surrounding COVID-19 is still a major problem more than five years after its emergence. Even after hundreds of years, our understanding of the Black Death () remains clouded by false narratives. In a study recently published in the, historians at the UK's University of Exeter argue the infamous plague likely didn't move across the continent as quickly as many experts thought.

Large Language Models (LLMs) are improving at an exceptional rate. With the advent of agentic workflows, multi-turn dialogue has become the de facto mode of interaction with LLMs for completing long and complex tasks. While LLM capabilities continue to improve, they remain increasingly susceptible to jailbreaking, especially in multi-turn scenarios where harmful intent can be subtly injected across the conversation to produce nefarious outcomes. While single-turn attacks have been extensively explored, adaptability, efficiency and effectiveness continue to remain key challenges for their multi-turn counterparts. To address these gaps, we present PLAGUE, a novel plug-and-play framework for designing multi-turn attacks inspired by lifelong-learning agents. PLAGUE dissects the lifetime of a multi-turn attack into three carefully designed phases (Primer, Planner and Finisher) that enable a systematic and information-rich exploration of the multi-turn attack family. Evaluations show that red-teaming agents designed using PLAGUE achieve state-of-the-art jailbreaking results, improving attack success rates (ASR) by more than 30% across leading models in a lesser or comparable query budget. Particularly, PLAGUE enables an ASR (based on StrongReject) of 81.4% on OpenAI's o3 and 67.3% on Claude's Opus 4.1, two models that are considered highly resistant to jailbreaks in safety literature. Our work offers tools and insights to understand the importance of plan initialization, context optimization and lifelong learning in crafting multi-turn attacks for a comprehensive model vulnerability evaluation.

The artificial intelligence models underpinning chatbots could help plan an attack with a biological weapon, according to research by a US thinktank. A report by the Rand Corporation released on Monday tested several large language models (LLMs) and found they could supply guidance that "could assist in the planning and execution of a biological attack". However, the preliminary findings also showed that the LLMs did not generate explicit biological instructions for creating weapons. The report said previous attempts to weaponise biological agents, such as an attempt by the Japanese Aum Shinrikyo cult to use botulinum toxin in the 1990s, had failed because of a lack of understanding of the bacterium. AI could "swiftly bridge such knowledge gaps", the report said.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. If it isn't clear by now, it will be soon: the metaverse is coming. While still only a concept, all this talk about virtual worlds, brain chips, tactile interfaces and artificial intelligence (AI) can only mean these technologies will soon come together. Many folks will get wrapped up in this merger of the virtual world with the physical world once the metaverse fully arrives. Unfortunately, anytime new and exciting technologies emerge, cybersecurity is often an afterthought.

A Steam sale is upon us, folks, and that means just one thing: sifting through literally thousands of deeply discounted games to figure out which ones in particular deserve your hard-earned cash. If you're short on time, take a gander at our recommendations below. Since it's Halloween, they're heavy on horror, but just about anyone should be able to find something they can enjoy. Note that most of these selections are decidedly adults-only: Let the kids get their spooks in Minecraft. Half-Life is a genre-defining staple of both first-person shooters and horror games, but 23 years later, it's not exactly looking like a spring chicken.

In the natural selection process, beneficial gene mutations are preserved from generation to generation until they become dominant in our genomes. The protection against pathogens drives the process. However, gene mutations that are protective against one pathogen could make people susceptible to new diseases whenever there is a change in the environment. Familial Mediterranean Fever (FMF) is one example of such disease. It is an autoimmune disease that has emerged over the past 20,000 years in southern Europe, the Middle East, and northern Africa.

An artificial intelligence engineer has created an intriguing algorithm that learned human language from reading "the bible and nothing else" and is now churning out ominous prophecies based on the Holy Book. George Davila Durendal, a childhood coding prodigy and current AI engineer and entrepreneur, recently unveiled his wackies creation yet, an A.I. algorithm trained solely on the King James Bible and dubbed "AI Jesus". Described by Durendal himself as an "A.I. clone of Jesus", the software is a Boltzmannian natural-language processing model that "tries to replicate the style of the King James Bible without quite copying it". Designed to write about 3 different topics – 'The Plague', 'Caesar' and'The End of Days' – using the language of the Bible, AI Jesus has so far come up with some pretty scary, if somewhat nonsensical, prophecies… "The Plague shall be the fathers in the world; and the same is my people, that he may be more abundant in the mouth of the LORD of hosts," one of the phrases produced by AI Jesus reads. "And he shall come against him, and said, As the LORD liveth, that he might be fulfilled which was spoken, he said, Thou are the spirit of your good works that ye have not seen, nor any thing of the service thereof, and a certain censer, and the sin offering, and the posts thereof were displeased with the dead of her father's house," another prophecy states.

An engineered created'AI Clone of Jesus' by feeding artificial intelligence the King James Bible, resulting in interesting and somewhat horrifying scriptures. George Durendal used a natural-language processing system to replicate the ancient words without exactly copying the text. The technology was programmed to write about three topics: 'the plague,' 'Caesar,' and the end of days.' The full copy of the AI's scripture is riddled with glitches, half of the nouns used are'Lord,' but some eerily resemble what is shown in the bible. An engineered created'AI Clone of Jesus' by feeding artificial intelligence the King James Bible, resulting in interesting and somewhat horrifying scriptures.