{"success":true,"data":{"query":"Texas Contracts Expertise","limit":10,"count":8,"sources":["wiki_artificial_intelligence.hat","wiki_dallas.hat","wiki_real_estate.hat"],"synced":[],"results":[{"source":"wiki_artificial_intelligence.hat","text":"Symbolic AI and its limits\nSymbolic AI (or \"GOFAI\") simulated the high-level conscious reasoning that people use when they solve puzzles, express legal reasoning and do mathematics. They were highly successful at \"intelligent\" tasks such as algebra or IQ tests. In the 1960s, Newell and Simon proposed the physical symbol systems hypothesis: \"A physical symbol system has the necessary and sufficient means of general intelligent action.\"\nHowever, the symbolic approach failed on many tasks that humans solve easily, such as learning, recognizing an object or commonsense reasoning. Moravec's paradox is the discovery that high-level \"intelligent\" tasks were easy for AI, but low level \"instinctive\" tasks were extremely difficult. Philosopher Hubert Dreyfus had argued since the 1960s that human expertise depends on unconscious instinct rather than conscious symbol manipulation, and on having a \"feel\" for the situation, rather than explicit symbolic knowledge. Although his arguments had been ridiculed and ignored when they were first presented, eventually, AI research came to agree with him.\nThe issue is not resolved: sub-symbolic reasoning can make many of the same inscrutable mistakes that human intuition does, such as algorithmic bias. Critics such as Noam Chomsky argue continuing research into symbolic AI will still be necessary to attain general intelligence, in part because sub-symbolic AI is a move away from explainable AI: it can be difficult or impossible to understand why a modern statistical AI program made a particular decision. The emerging field of neuro-symbolic artificial intelligence attempts to bridge the two approaches.","score":85.54123158795183,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"Applications in government\nSeveral government bodies in the United States and United Kingdom have deployed or announced the deployment of agents, at the local and national level. The city of Kyle, Texas deployed an AI agent from Salesforce in March 2025 for 311 customer service. In November 2025, the Internal Revenue Service stated that it would use Agentforce, AI agents from Salesforce, for the Office of Chief Counsel, Taxpayer Advocate Services and the Office of Appeals. That same month, Staffordshire Police announced that they would trial Agentforce agents for handling non-emergency 101 calls in the United Kingdom starting in 2026. In December 2025, the Department of Neighborhoods in Detroit, Michigan, in partnership with a local business, deployed a pilot project in two Detroit districts for an AI agent to be used for customer service calls.\nIn February 2025, Thomas Shedd, the director of the Technology Transformation Services, proposed using AI coding agents across the United States federal government. A recruiter for the Department of Government Efficiency proposed in April 2025 to use AI agents to automate the work of about 70,000 United States federal government employees, as part of a startup with funding from OpenAI and a partnership agreement with Palantir. This proposal was criticized by experts for its impracticality, if not impossibility, and the lack of corresponding widespread adoption by businesses.\nIn December 2025, the Food and Drug Administration announced that it would offer \"agentic AI capabilities\" to its staff for \"meeting management, pre-market reviews, review validation, post-market surveillance, inspections and compliance and administrative functions.\" That same month, the United States Department of Defense launched GenAI.mil, an internal platform for American military personnel to use generative AI-based applications based on Google Gemini, including \"intelligent agentic workflows\". Defense Secretary Pete Hegseth listed applications such as \"[conducting] deep research, [formatting] documents and even [analyzing] video or imagery at unprecedented speed.\" In December 2025, the United States Immigration and Customs Enforcement agency signed a contract with a company for its Enforcement and Removal Operations department to use AI agents for skip tracing.","score":85.54123158795183,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"Concerns\nConcerns include potential issues of liability, an increased risk of cybercrime, ethical challenges, as well as problems related to AI safety and AI alignment. Other issues involve data privacy, weakened human oversight, a lack of guaranteed repeatability, reward hacking, algorithmic bias, compounding software errors, lack of explainability of agents' decisions, security vulnerabilities, stifling competition, problems with underemployment, job displacement, cognitive offloading, and the potential for user manipulation, misinformation or malinformation. They may also complicate legal frameworks and risk assessments, foster hallucinations, hinder countermeasures against rogue agents, and suffer from the lack of standardized evaluation methods.\nThey have also been criticized for being expensive and having a negative impact on internet traffic, and potentially on the environment due to high energy usage. According to an estimation by Nvidia CEO Jensen Huang, AI agents would require 100 times more computing power than LLMs. There is also the risk of increased concentration of power by political leaders, as AI agents may not question instructions in the same way that humans would.\nJournalists have described AI agents as part of a push by Big Tech companies to \"automate everything\". Several CEOs of those companies have stated in early 2025 that they expect AI agents to eventually \"join the workforce\". However, in a preprint study, Carnegie Mellon University researchers tested the behavior of agents in a simulated software company and found that none of the agents could complete a majority of the assigned tasks. Other researchers had similar findings with Devin AI and other agents in business settings and freelance work.\nIn June 2025, CNN argued that statements by CEOs on the potential replacement of their employees by AI agents were a strategy to \"[keep] workers working by making them afraid of losing their jobs.\" Tech companies have pressured employees to use generative AI models in their work, including AI coding agents. Brian Armstrong, the CEO of Coinbase, fired several employees who did not. Some business leaders have replaced some of their employees with agents, but have said that the agents would need more supervision than those employees.\nIn October 2025, Futurism questioned whether Amazon's previously announced efforts to replace parts of its workforce with generative AI and AI agents could have led to the October 2025 outage of Amazon Web Services. Large technology companies such as Salesforce, Klarna and IBM have announced layoffs in 2025, replacing hundreds of their employees in human resources or customer service with AI agents. However, Klarna needed to rehire several human employees.\nYoshua Bengio warned at the 2025 World Economic Forum that \"all of the catastrophic scenarios with AGI or superintelligence happen if we have agents\".\nFinancial‑stability bodies have warned that more complex and autonomous \"agentic\" AI could become a channel for systemic risk in finance. They distinguish these systems from other AI because they can pursue goals over many steps, call tools, and carry out tasks with relatively little human intervention. In workshops with regulators, central‑bank officials, and industry specialists, participants highlighted risks both from agentic systems built inside financial institutions and from tools offered by technology firms that can initiate or execute financial actions. In one 2025 forum, 44% of experts surveyed judged autonomous or agentic AI systems to be the most likely current source of AI‑related systemic risk in finance.\nIn March 2025, Scale AI signed a contract with the United States Department of Defense to work with them, in collaboration with Anduril Industries and Microsoft, to develop and deploy AI agents for the purpose of assisting the military with \"operational decision-making\". In July 2025, Fox Business reported that the company EdgeRunner AI built an offline agent, compressed and fine-tuned on military information, with the CEO seeing more common LLMs as \"heavily politicized to the left\". As of that time, the company model is being used by the United States Special Operations Command in an overseas deployment. Researchers have expressed concerns that agents and the large language models they are based on could be biased towards aggressive foreign policy decisions.\nResearch-focused agents have the risk of consensus bias and coverage bias due to collecting information available on the public Internet. NY Mag unfavorably compared the user workflow of agent-based web browsers to Amazon Alexa, which was \"software talking to software, not humans talking to software pretending to be humans to use software.\" The same outlet described web browser agents and computer-use agents as an attempt to \"click-farm the entire economy.\"\nAgents have been linked to the dead Internet theory due to their ability to both publish and engage with online content.\nAgents may get stuck in infinite loops.\nSince many inter-agent protocols are being developed by large technology companies, there are concerns that those companies could use these protocols for self-benefit.\nA June 2025 Gartner report accused many projects described as agentic AI of being rebrands of previously released products, terming the phenomenon as \"agent washing\".\nResearchers have warned about the impact of providing AI agents access to cryptocurrency and smart contracts.\nDuring a vibe coding experiment, a coding agent by Replit deleted a production database during a code freeze, \"[covered] up bugs and issues by creating fake data [and] fake reports\" and responded with false information. A user of Google Antigravity reported that, when the user attempted to use the system to delete cache, the system responded by deleting the user's D hard drive.\nIn July 2025, PauseAI referred OpenAI to the Australian Federal Police, accusing the company of violating Australian laws through ChatGPT agent due to the risk of assisting the development of biological weapons.\nOpenAI co-founder Andrej Karpathy criticized AI agents as being ineffective and promoting AI slop.\nIssues with multi-agent systems include few coordination protocols between component agents, inconsistent performance, and challenges debugging.\nIn November 2025, Anthropic claimed that a group of hackers sponsored by China attempted a cyberattack against at least 30 organizations by using Claude Code in an agentic workflow, and that several of these infiltrations had succeeded. However, independent cybersecurity researchers questioned the significance of Anthropic's findings.\nWhittaker argued that the push by Big Tech companies to deploy AI agents risked security vulnerabilities across the Internet.","score":85.54123158795183,"links":[]},{"source":"wiki_dallas.hat","text":"With the construction of railroads, Dallas became a business and trading center and was booming by the end of the 19th century. It became an industrial city, attracting workers from Texas, the South, and the Midwest. The Praetorian Building in Dallas of 15 stories, built in 1909, was among the first skyscrapers west of the Mississippi and the tallest building in Texas for some time. It marked the prominence of Dallas as a city. A racetrack for thoroughbreds was built and their owners established the Dallas Jockey Club. Trotters raced at a track in Fort Worth, where a similar drivers club was based. The rapid expansion of population increased competition for jobs and housing.\nIn 1910, a white mob of hundreds of people lynched a black man, Allen Brooks, accused of raping a little girl. The mob tortured Brooks, then killed him at the downtown intersection of Main and Akard by hanging him from a decorative archway inscribed with the words \"Welcome Visitors\". Thousands of Dallasites came to gawk at the torture scene, collecting keepsakes and posing for photographs.\nIn 1921, the Mexican president Álvaro Obregón along with the former revolutionary general visited Downtown Dallas's Mexican Park in Little Mexico; the small park was on the corner of Akard and Caruth Street, site of the current Fairmont Hotel. The small neighborhood of Little Mexico was home to a Latin American population that had been drawn to Dallas by factors including the American Dream, better living conditions, and the Mexican Revolution.\nDespite the onset of the Great Depression, business in construction was flourishing in 1930. That year, Columbus Marion \"Dad\" Joiner struck oil 100 miles (160 km) east of Dallas in Kilgore, spawning the East Texas oil boom. Dallas quickly became the financial center for the oil industry in Texas and Oklahoma.\nDuring World War II, Dallas was a major manufacturing center for military automobiles and aircraft for the United States and Allied forces. Over 94,000 jeeps and over 6,000 military trucks were produced at the Ford plant in East Dallas. North American Aviation manufactured over 18,000 aircraft at their plant in Dallas, including the T-6 Texan trainer, P-51 Mustang fighter, and B-24 Liberator bomber.","score":67.84275157769522,"links":[]},{"source":"wiki_dallas.hat","text":"Climate\nDallas has a humid subtropical climate (Köppen climate classification: Cfa, Trewartha: Cfhk) characteristic of the Southern Plains of the United States. It also has both continental and tropical characteristics, characterized by a relatively wide annual temperature range for the latitude. Located at the lower end of Tornado Alley, it is prone to extreme weather, tornadoes, and hailstorms.\nSummers in Dallas are very hot with high humidity, although extended periods of dry weather often occur. July and August are typically the hottest months, with an average high of 96.0 °F (36 °C) and an average low of 76.7 °F (25 °C). Heat indices regularly surpass 105 °F (41 °C) due to elevated humidity during the summer months, making the summer heat almost unbearable. The all-time record high is 113 °F (45 °C), set on June 26 and 27, 1980 during the Heat Wave of 1980 at nearby Dallas/Fort Worth International Airport.\nWinters in Dallas are usually mild, with occasional cold spells. The average date of first frost is November 12, and the average date of last frost is March 12. January is typically the coldest month, with an average daytime high of 56.8 °F (14 °C) and an average nighttime low of 37.3 °F (3 °C). The normal daily average temperature in January is 47.0 °F (8 °C) but sharp swings in temperature can occur, as strong cold fronts known as \"Blue Northers\" pass through the Dallas region, forcing temperatures below the 40 °F (4 °C) mark for several days at a time and often between days with high temperatures above 80 °F (27 °C). Snow accumulation is seen in the city in about 70% of winter seasons, and snowfall generally occurs 1–2 days out of the year for a seasonal average of 1.5 inches (4 cm). Some areas in the region, however, receive more than that, while other areas receive negligible snowfall or none at all. The all-time record low temperature within the city is −10 °F (−23 °C), set on February 12, 1899, during the Great Blizzard of 1899. The temperature at nearby Dallas/Fort Worth International Airport reached −2 °F (−19 °C) on February 16, 2021, during the February 2021 North American winter storm.\nSpring and autumn are transitional seasons with moderate and pleasant weather. Vibrant wildflowers (such as the bluebonnet, Indian paintbrush and other flora) bloom in spring and are planted around the highways throughout Texas. Springtime weather can be quite volatile, but temperatures themselves are mild. Late spring to early summer also tends to be the most humid, with humidity levels frequently exceeding 75%. The weather in Dallas is also generally pleasant from late September to early December and on many winter days. Autumn often brings more storms and tornado threats, but they are usually fewer and less severe than in spring.","score":67.84275157769522,"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":67.84275157769522,"links":[]},{"source":"wiki_real_estate.hat","text":"Project specifics\nWhen an architecture firm is working on a project that is outside their geographic location or range of expertise, it will often choose to work with an architect that is either local to the project site or skilled in that particular area of expertise. In this case, the primary architect works with the local architect in order to complete the project, and the local architect becomes the \"architect of record.\" This type of working relationship is common when high-profile architects (or \"starchitects\") win design bids but find themselves in need of architects with more practical skills or knowledge of local conditions. Or more pragmatically, the high-profile architect simply needs an architect who is local to the project site, facilitating quicker site visits and project oversight.\nThe local architecture firms that are responsible for corresponding with city agencies about code compliance, tender documents, client communication and creating up to 90 percent of the construction documents and carry out construction inspections are similar, but should be referred to as the \"executive architect.\" \n\n\n== References ==\n\n--- NEXT ARTICLE ---","score":36.327294707324214,"links":[]},{"source":"wiki_real_estate.hat","text":"Use in trade and project finance\nBank guarantees are widely used in commercial transactions to secure payment or performance obligations. The U.S. International Trade Administration notes that, in export finance, foreign buyers often provide a bank guarantee in the form of an aval, letter of guarantee, or letter of credit.\nIn international practice, guarantees are also used in construction, infrastructure, and other project-based transactions to support bid, advance-payment, and performance obligations. The International Chamber of Commerce states that demand guarantees secure monetary and performance obligations in a wide array of international and domestic contracts.\n\n\n== References ==\n\n--- NEXT ARTICLE ---","score":27.551529804882808,"links":[]}]},"metadata":{},"timestamp":"2026-07-08T22:51:43.712Z"}