hawkins
Stranger Things: What could happen next as the show's finale looms?
Stranger Things: What could happen next as the show's finale looms? Spoiler warning: This contains some details about what has happened in the show so far, but does not reveal anything about the final four episodes. A Christmas feast may be around the corner, or perhaps another chocolate (no strawberry creams, thanks), but for fans of Stranger Things, another gift is waiting to be consumed. The grand finale of Netflix's hugely popular sci-fi fantasy horror series, which also showcases some questionable 80s fashion choices, is looming. Fans last saw the inhabitants of Hawkins in a perilous place as season five opened, with Demogorgons running rampant, along with the monstrous Vecna.
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Improving AGI Evaluation: A Data Science Perspective
Evaluation of potential AGI systems and methods is difficult due to the breadth of the engineering goal. We have no methods for perfect evaluation of the end state, and instead measure performance on small tests designed to provide directional indication that we are approaching AGI. In this work we argue that AGI evaluation methods have been dominated by a design philosophy that uses our intuitions of what intelligence is to create synthetic tasks, that have performed poorly in the history of AI. Instead we argue for an alternative design philosophy focused on evaluating robust task execution that seeks to demonstrate AGI through competence. This perspective is developed from common practices in data science that are used to show that a system can be reliably deployed. We provide practical examples of what this would mean for AGI evaluation.
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DeFine: A Decomposed and Fine-Grained Annotated Dataset for Long-form Article Generation
Wang, Ming, Wang, Fang, Hu, Minghao, He, Li, Wang, Haiyang, Zhang, Jun, Yan, Tianwei, Li, Li, Luo, Zhunchen, Luo, Wei, Bai, Xiaoying, Geng, Guotong
Long-form article generation (LFAG) presents challenges such as maintaining logical consistency, comprehensive topic coverage, and narrative coherence across extended articles. Existing datasets often lack both the hierarchical structure and fine-grained annotation needed to effectively decompose tasks, resulting in shallow, disorganized article generation. To address these limitations, we introduce DeFine, a Decomposed and Fine-grained annotated dataset for long-form article generation. DeFine is characterized by its hierarchical decomposition strategy and the integration of domain-specific knowledge with multi-level annotations, ensuring granular control and enhanced depth in article generation. To construct the dataset, a multi-agent collaborative pipeline is proposed, which systematically segments the generation process into four parts: Data Miner, Cite Retreiver, Q&A Annotator and Data Cleaner. To validate the effectiveness of DeFine, we designed and tested three LFAG baselines: the web retrieval, the local retrieval, and the grounded reference. We fine-tuned the Qwen2-7b-Instruct model using the DeFine training dataset. The experimental results showed significant improvements in text quality, specifically in topic coverage, depth of information, and content fidelity. Our dataset publicly available to facilitate future research.
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Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Shao, Yijia, Jiang, Yucheng, Kanell, Theodore A., Xu, Peter, Khattab, Omar, Lam, Monica S.
We study how to apply large language models to write grounded and organized long-form articles from scratch, with comparable breadth and depth to Wikipedia pages. This underexplored problem poses new challenges at the pre-writing stage, including how to research the topic and prepare an outline prior to writing. We propose STORM, a writing system for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking. STORM models the pre-writing stage by (1) discovering diverse perspectives in researching the given topic, (2) simulating conversations where writers carrying different perspectives pose questions to a topic expert grounded on trusted Internet sources, (3) curating the collected information to create an outline. For evaluation, we curate FreshWiki, a dataset of recent high-quality Wikipedia articles, and formulate outline assessments to evaluate the pre-writing stage. We further gather feedback from experienced Wikipedia editors. Compared to articles generated by an outline-driven retrieval-augmented baseline, more of STORM's articles are deemed to be organized (by a 25% absolute increase) and broad in coverage (by 10%). The expert feedback also helps identify new challenges for generating grounded long articles, such as source bias transfer and over-association of unrelated facts.
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Layoffs and AI sour annual Game Developers Conference: 'The vibe is rancid'
Despite the sunny spring skies in San Francisco this week, the mood among nearly 30,000 video game industry professionals was gloomy as they descended upon the city for the yearly Game Developers Conference (GDC). Some were so frustrated with the state of affairs in their business that they organized a group screaming session in a park. "Those of us who have a job and can afford to be here are going through the motions and trying to have a good time," said Maxi Molina, a game developer attending the event from Spain. "But the vibe is rancid in the industry right now." The gaming industry saw more than 10,000 workers laid off in 2023, up from 8,500 in 2022, according to the Game Industry Layoffs project, which tracks game developer and publisher job losses globally.
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US Navy sails first drone boat through Strait of Hormuz between Iran, Oman
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The U.S. Navy sailed its first drone boat through the strategic Strait of Hormuz on Wednesday, a crucial waterway for global energy supplies where American sailors often faces tense encounters with Iranian forces. The trip by the L3 Harris Arabian Fox MAST-13, a 41-foot speedboat carrying sensors and cameras, drew the attention of Iran's Revolutionary Guard, but took place without incident, said Navy spokesman Cmdr. Two U.S. Coast Guard cutters, the USCGC Charles Moulthrope and USCGC John Scheuerman, accompanied the drone.
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Sam's Club's AI knows how much pumpkin pie you'll eat this holiday
Turkey gets all the attention. Cranberry sauce ruffles feathers. But pumpkin pie is the lovable staple many Americans crave on Thanksgiving. And many don't want to make it themselves. That's why Sam's Club, a retail and grocery warehouse owned by Walmart, is using artificial intelligence to predict how much pie each of its nearly 600 stores needs to make for the holidays.Subscribe to The Post Most newsletter for the most important and interesting stories from The Washington Post. Their model use
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Oil tanker hit by armed drone off coast of Oman: Official
An oil tanker associated with an Israeli billionaire has been struck by a bomb-carrying drone off the coast of Oman amid heightened tensions with Iran, an official has told the Associated Press. The attack happened on Tuesday night off the coast of Oman, the Middle East-based defence official said. The official spoke on Wednesday on condition of anonymity as they did not have authorisation to discuss the attack publicly. The United Kingdom Maritime Trade Operations, a British military organisation in the region monitoring shipping, told the AP: "We are aware of an incident and it's being investigated at this time." The official identified the vessel attacked as the Liberian-flagged oil tanker Pacific Zircon.
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How The Innovator's Brain Works
How does your brain innovate? How does the human brain learn to innovate? The Thousand Brain theory, proposed by Silicon Valley innovator-turned-scientist Jeff Hawkins, is the first proposal to explain how the brain functions at the cellular level. This theory has direct, important, unexpected implications for how people learn to innovate, and therefore for how teachers, coaches, managers, and other professionals teach innovation. This article provides a summary of Jeff's conclusions.
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- Health & Medicine > Therapeutic Area > Neurology (0.51)
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Pentagon Combines Sea Drones, AI to Police Gulf Region
Iran's recent seizure of unmanned US Navy boats shined a light on a pioneering Pentagon program to develop networks of air, surface, and underwater drones for patrolling large regions, meshing their surveillance with artificial intelligence. The year-old program operates numerous unmanned surface vessels, or USVs, in the waters around the Arabian peninsula, gathering data and images to be beamed back to collection centers in the Gulf. The program operated without incident until Iranian forces tried to grab three seven-meter Saildrone Explorer USVs in two incidents, on August 29-30 and September 1. In the first, a ship of Iran's Islamic Revolutionary Guard Corps hooked a line to a Saildrone in the Gulf and began towing it away, only releasing it when a US Navy Patrol boat and helicopter sped to the scene. In the second, an Iranian destroyer picked up two Saildrones in the Red Sea, hoisting them aboard.
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