{"success":true,"data":{"query":"Dallas Community Intel","limit":10,"count":10,"sources":["dallas_community_intel.hat","wiki_dallas.hat","wiki_artificial_intelligence.hat","atlas_pulse_master.hat"],"synced":[],"results":[{"source":"dallas_community_intel.hat","text":"Community Vitality: Code Concern - CCS\nStatus: New | Outcome: PENDING\nLocation: 13620 WILLOW BEND RD, DALLAS, TX, 75240, Dallas TX\nReported: 2026-06-04T22:04:01.000\nCoordinates: 0, 0\nService Request: 26-00243213","score":90.45896743987524,"links":[]},{"source":"dallas_community_intel.hat","text":"Community Vitality: Code Concern - CCS\nStatus: Closed | Outcome: PENDING\nLocation: 3524 HIGH MESA DR, DALLAS, TX, 75234, Dallas TX\nReported: 2026-06-02T18:25:54.000\nCoordinates: 0, 0\nService Request: 26-00238773","score":90.45896743987524,"links":[]},{"source":"dallas_community_intel.hat","text":"Community Vitality: Code Concern - CCS\nStatus: In Progress | Outcome: PENDING\nLocation: 17632 WINDFLOWER WAY, DALLAS, TX, 75252, Dallas TX\nReported: 2026-06-02T05:06:31.000\nCoordinates: 0, 0\nService Request: 26-00236882","score":90.45896743987524,"links":[]},{"source":"wiki_dallas.hat","text":"History\nIndigenous tribes in North Texas included the Caddo, Tawakoni, Wichita, Kickapoo and Comanche. Spanish colonists claimed the territory of Texas in the 18th century as a part of the Viceroyalty of New Spain. Later, France also claimed the area but never established much settlement. In all, six flags have flown over the area preceding and during the city's history: those of France, Spain, and Mexico, the flag of the Republic of Texas, the Confederate flag, and the flag of the United States of America.\nIn 1819, the Adams–Onís Treaty between the United States and Spain defined the Red River as the northern boundary of New Spain, officially placing the future location of Dallas well within Spanish territory. The area remained under Spanish rule until 1821, when Mexico declared independence from Spain, and the area was considered part of the Mexican state of Coahuila y Tejas. In 1836, Texians, with a majority of Anglo-American settlers, gained independence from Mexico and formed the Republic of Texas.\nThree years after Texas achieved independence, John Neely Bryan surveyed the area around present-day Dallas. In 1839, accompanied by his dog and a Cherokee he called Ned, he planted a stake in the ground on a bluff located near three forks of the Trinity River and left. Two years later, in 1841, he returned to establish a permanent settlement named Dallas. The origin of the name is uncertain. The official historical marker states it was named after Vice President George M. Dallas of Philadelphia, Pennsylvania. However, this is disputed. Other potential theories for the origin include his brother, Commodore Alexander James Dallas, as well as brothers Walter R. Dallas and James R. Dallas. A further theory gives the ultimate origin as the village of Dallas, Moray, Scotland, similar to the way Houston, Texas, was named after Sam Houston, whose ancestors came from the Scottish village of Houston, Renfrewshire.\nThe Republic of Texas was annexed by the United States in 1845 and Dallas County was established the following year. Dallas was formally incorporated as a city on February 2, 1856. In the mid-1800s, a group of French Socialists established La Réunion, a short-lived community, along the Trinity River in what is now West Dallas.","score":87.48321017397777,"links":[]},{"source":"wiki_dallas.hat","text":"Demographics\nDallas is the ninth-most-populous city in the United States and third in Texas after the cities of Houston and San Antonio. Its metropolitan area encompasses one-quarter of the population of Texas, and is the largest in the Southern U.S. and Texas followed by the Greater Houston metropolitan area. At the 2020 United States census the city of Dallas had 1,304,379 residents, an increase of 106,563 since the 2010 United States census. However, as of July 1, 2022, the U.S. Census Bureau estimates that Dallas, in the first years since the 2020 census, lost 4,835 people, leaving the city with a population of 1,299,544.\nThere were 524,498 households at the 2020 estimates, up from 2010's 458,057 households, out of which 137,523 had children under the age of 18 living with them. Approximately 36.2% of households were headed by married couples living together, 57.2% had a single householder male or female with no spouse present, and 35.6% were classified as non-family households with the householder living alone. In 2010, 33.7% of all households had one or more people under 18 years of age, and 17.6% had one or more people who were 65 years of age or older. The average household size in 2020 was 2.52 and the average family size was 3.41. In 2018, the owner-occupied housing rate was 40.2% and the renter-occupied housing rate was 59.8%. At the 2010 census, the city's age distribution of the population showed 26.5% under the age of 18 and 8.8% who were 65 years of age or older. The median age was 31.8 years. In 2010, 50.0% of the population was male and 50.0% was female. In 2020, the median age 32.9 years; for every 100 females, there were 98.4 males.\nAccording to the 2020 American Community Survey, the median income for a household in the city was $54,747; families had a median household income of $60,895; married-couple families $81,761; and non-families $45,658. In 2003–2007's survey, male full-time workers had a median income of $32,265 versus $32,402 for female full-time workers. The per capita income for the city was $25,904. About 18.7% of families and 21.7% of the population were below the poverty line, including 33.6% of those under age 18 and 13.4% of those aged 65 or over. Per 2007's survey, the median price for a house was $129,600; by 2020, the median price for a house was valued at $252,300, with 54.4% of owner-occupied units from $50,000 to $299,999.\nThe 2022 Point-In-Time Homeless Count found there were 4,410 homeless people in Dallas. According to the Metro Dallas Homeless Alliance Continuum of Care 2022 Homeless Count & Survey Independent Analysis, \"approximately 1 of 3 (31%) those experiencing homelessness were found on the streets or in other places not meant for human habitation.\"\nThe region surrounding Dallas is a habitat for mosquitoes, creating a pest problem for humans. Dallas and the surrounding area is sprayed regularly to control mosquito-borne diseases such as West Nile virus.","score":87.48321017397777,"links":[]},{"source":"wiki_dallas.hat","text":"Race and ethnicity\nDallas's population was historically predominantly White (non-Hispanic Whites made up 82.8% of the population in 1930), but its population has diversified due to immigration and white flight over the 20th century. Since then, the non-Hispanic White population has declined to less than one-third of the city's population. According to the 2010 U.S. census, 50.7% of the population was White (28.8% non-Hispanic White), 24.8% was Black or African American, 0.7% American Indian and Alaska Native, 2.9% Asian, and 2.6% from two or more races; 42.4% of the total population was of Hispanic or Latino American origin (they may be of any race).\nAt the U.S. Census Bureau's 2019 estimates, 29.1% were non-Hispanic White 24.3% Black and African American, 0.3% American Indian or Alaska Native, 3.7% Asian, and 1.4% from two or more races. Native Hawaiian and other Pacific Islanders made up a total of 312 residents according to 2019's census estimates, down from 606 in 2017. Hispanic or Latino Americans of any race made up 41.2% of the estimated population in 2019. Among the Hispanic or Latino American population in 2019, 34.6% of Dallas was Mexican, 0.4% Puerto Rican, 0.2% Cuban and 6.0% other Hispanic or Latino American. In 2017's American Community Survey estimates among the demographic 35.5% were Mexican, 0.6% Puerto Rican, 0.4% Cuban, and 5.4% other Hispanic or Latino. By 2020, Hispanic or Latino Americans of any race continued to constitute the largest ethnic group in the city proper, reflecting nationwide demographic trends.\nThe Dallas area is a major living destination for Mexican Americans and other Hispanic and Latino American immigrants. The southwestern portion of the city, particularly Oak Cliff is chiefly inhabited by Hispanic and Latino American residents. The southeastern portion of the city Pleasant Grove is chiefly inhabited by African American and Hispanic or Latino American residents, while the southern portion of the city is predominantly black. The west and east sides of the city are predominantly Hispanic or Latino American; Garland also has a large Spanish-speaking population. North Dallas has many enclaves of predominantly white, black and especially Hispanic or Latino American residents.\nThe Dallas area is also a major living destination for Black and African Americans primarily due to its strong and diverse economy. Between 2010 and 2020, the Dallas area had the second-most new Black and African American residents only behind the Atlanta area and slightly above the Houston area. The notable influx of African Americans is partly due to the New Great Migration. There is a significant number of people from the Horn of Africa, immigrants from Ethiopia, Eritrea and Somalia.\nThe Dallas–Fort-Worth metroplex had an estimated 70,000 Russian-speakers (as of November 6, 2012) mostly immigrants from the former Soviet Bloc. Included in this population are Russians, Russian Jews, Ukrainians, Armenians, Belarusians, Moldavians Uzbek, Kirghiz, and others. The Russian-speaking population of Dallas has continued to grow in the sector of \"American husbands-Russian wives\". Russian DFW has its own newspaper, The Dallas Telegraph.\nIn addition, Dallas and its suburbs are home to a large number of Asian Americans including those of Indian, Vietnamese, Chinese, Korean, Filipino, Japanese, and other heritage. Among large-sized cities in the United States, Plano, the northern suburb of Dallas, has the 6th largest Chinese American population as of 2016. The Plano-Richardson area in particular had an estimated 30,000 Iranian Americans in 2012. With so many immigrant groups, there are often multilingual signs in the linguistic landscape. According to U.S. Census Bureau data released in December 2013, 23 percent of Dallas County residents were foreign-born, while 16 percent of Tarrant County residents were foreign-born. The 2018 census estimates determined that the city of Dallas's foreign-born population consisted of 25.4% naturalized citizens and 74.6% non-citizens.","score":87.48321017397777,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"In the research community\nIn many cases, even AI researchers anthropomorphize AI systems in some capacity. Among the most extreme and well-publicized of these instances occurred in 2022, when engineer Blake Lemoine publicly claimed that Google's LLM LaMDA was conscious. Lemoine published the transcript of a conversation he had had with LaMDA regarding self identity and morality which he claimed was evidence of its sentience; he asserted that LaMDA was \"a person\" as defined by the United States Constitution and compared its mental capability to that of a 7- or 8-year-old. Lemoine's claims were widely dismissed by the scientific community and by Google itself, which described Lemoine's conclusions as \"wholly unfounded\" and fired him on the grounds that he had violated policies \"to safeguard product information\".\nIt is much more common that AI researchers unintentionally imply humanness of AI through the ordinary use of anthropomorphic language to describe nonhuman agents. This kind of language, which Daniel Dennett coined the \"intentional stance\", is very common in everyday life in a variety of different contexts (e.g., \"My computer doesn't want to turn on today\"). For AI agents that may actually appear to very closely replicate some human abilities, however, the casual use of such anthropomorphic language in research has been scrutinized for being potentially misleading to the public. As early as 1976, Drew McDermott criticized the research community for the use of \"wishful mnemonics\", where AIs were referred to with terms like \"understand\" and \"learn\". In the LLM era, these criticisms have further intensified, with the negative effects of AI anthropomorphism in the public posing an especially salient danger given the elevated accessibility of modern AI.\nIn some cases, the use of anthropomorphic language for AI is not unintentional, but is willfully used by researchers in order to promote better understanding of the brain – the idea being that, as AI can be functionally similar in some ways to the human brain, we may gain new insights and ideas from treating AI as a kind of model of the brain's workings. In particular, deep neuronal networks (DNNs) are often explicitly compared to the human brain, and significant advances in DNN research have stirred considerable enthusiasm about the ability of AI to emulate the human abilities. Caution has been urged in this domain as well, however; the use of anthropomorphic language can mask important differences that fundamentally distinguish AI from human intelligence. When it comes to DNNs, for example, it has been pointed out that they are still structurally quite different from the human brain, with much of what we know about human neurons not having been incorporated. It has also been argued that DNNs are less efficient and less durable in generating correct outputs than the human brain, given that they require significantly more training data than the brain and can sometimes be easily \"fooled\" by perturbations in input data. Given these fundamental differences, research focuses toward making AI as similar as possible to biological intelligence (which may be promoted by using anthropomorphic language) could hinder future AI development by limiting the proliferation of new theoretical and operational frameworks.","score":73.95802256282273,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"ARTICLE: Artificial intelligence\nArtificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics and computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.\nHigh-profile applications of AI include advanced web search engines, chatbots, virtual assistants, autonomous vehicles, and play and analysis in strategy games (e.g., chess and Go). Since the 2020s, generative AI has become widely available to generate images, audio, and videos from text prompts.\nThe traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, and perception, as well as support for robotics. To reach these goals, AI researchers have used techniques including state space search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics. AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI) – AI that can complete virtually any cognitive task at least as well as a human.\nArtificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history, followed by periods of disappointment and loss of funding, known as AI winters. Funding and interest increased substantially after 2012, when graphics processing units began being used to accelerate neural networks, and deep learning outperformed previous AI techniques. This growth accelerated further after 2017 with the transformer architecture. In the 2020s, an AI boom has coincided with advances in generative AI, which allowed for the creation and modification of media. In addition to AI safety and unintended consequences and harms from the use of AI, ethical concerns, AI's long-term effects, and potential existential risks have prompted discussions of AI regulation.","score":63.958022562822734,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"Power needs and environmental impacts\nTechnology companies have built electricity and artificial intelligence infrastructure to facilitate the AI boom of the 2020s. A 2025 report from the consulting firm McKinsey & Company estimated that by 2030, $2.7 trillion would be invested into AI infrastructure and data centers in the US, surpassing World War II's Manhattan Project every month.\nIn January 2024, the International Energy Agency (IEA) released Electricity 2024, Analysis and Forecast to 2026. This is the first IEA report to make projections for data centers and power consumption by AI and cryptocurrency. The report states that power demand for these uses might double by 2026, with the additional power consumption equaling that of Japan.\nPower consumption by AI is responsible for an increase in fossil fuel use, and has delayed closings of obsolete, carbon-emitting coal energy facilities. A ChatGPT search involves the use of 10 times the electrical energy as a Google search.\nA 2024 Goldman Sachs Research Paper, AI Data Centers and the Coming US Power Demand Surge, found \"US power demand (is) likely to experience growth not seen in a generation....\" and forecasts that, by 2030, US data centers will consume 8% of US power, as opposed to 3% in 2022, presaging growth for the electrical power generation industry by a variety of means. Data centers' need for more and more electrical power is such that they might max out the electrical grid. The Big Tech companies counter that AI can be used to maximize the utilization of the grid by all.\nIn 2024, The Wall Street Journal reported that big AI companies have begun negotiations with the US nuclear power providers to provide electricity to the data centers. In March 2024 Amazon purchased a Pennsylvania nuclear-powered data center for US$650 million.\nIn September 2024, Microsoft announced an agreement with Constellation Energy to re-open the Three Mile Island nuclear power plant to provide Microsoft with 100% of all electric power produced by the plant for 20 years. Reopening the plant, which suffered a partial nuclear meltdown of its Unit 2 reactor in 1979, will require Constellation to get through strict regulatory processes which will include extensive safety scrutiny from the US Nuclear Regulatory Commission. If approved (this will be the first ever US re-commissioning of a nuclear plant), over 835 megawatts of power – enough for 800,000 homes – of energy will be produced. The cost for re-opening and upgrading is estimated at US$1.6 billion and is dependent on tax breaks for nuclear power contained in the 2022 US Inflation Reduction Act. As of 2024, the US government and the state of Michigan have been investing almost US$2 billion to reopen the Palisades Nuclear reactor on Lake Michigan. Closed since 2022, the plant was planned to be reopened in October 2025.\nAfter the last approval in September 2023, Taiwan suspended the approval of data centers north of Taoyuan with a capacity of more than 5 MW in 2024, due to power supply shortages. Taiwan aims to phase out nuclear power by 2025. \nSingapore imposed a ban on the opening of data centers in 2019 due to electric power, but in 2022, lifted this ban.\nAlthough most nuclear plants in Japan have been shut down after the 2011 Fukushima nuclear accident, according to an October 2024 Bloomberg article in Japanese, cloud gaming services company Ubitus, in which Nvidia has a stake, is looking for land in Japan near a nuclear power plant for a new data center for generative AI.\nOn 1 November 2024, the Federal Energy Regulatory Commission (FERC) rejected an application submitted by Talen Energy for approval to supply some electricity from the nuclear power station Susquehanna to Amazon's data center.\nAccording to the Commission Chairman Willie L. Phillips, it is a burden on the electricity grid as well as a significant cost shifting concern to households and other business sectors.\nIn 2025, a report prepared by the IEA estimated the greenhouse gas emissions from the energy consumption of AI at 180 million tons. By 2035, these emissions could rise to 300–500 million tonnes depending on what measures will be taken. This is below 1.5% of the energy sector emissions. The emissions reduction potential of AI was estimated at 5% of the energy sector emissions, but rebound effects (for example if people switch from public transport to autonomous cars) can reduce it.","score":63.958022562822734,"links":[]},{"source":"atlas_pulse_master.hat","text":"SOURCE: dallas_community_intel.hat\nSLUG: dallas-community-intel\nTITLE: Dallas Community Intel\nQUERY: Dallas Community Intel\n\nCONTENT:\nCommunity Vitality: Pot Hole - Routine - TPW Status: New | Outcome: PENDING Location: S MERRIFIELD RD & KEENELAND PKWY, DALLAS, TX, 75211, Dallas TX Reported: 2026-06-05T02:15:53.000 Coordinates: 0, 0 Service Request: 26-00243298","score":55,"links":[]}]},"metadata":{},"timestamp":"2026-07-16T21:29:53.758Z"}