{"id":20699,"date":"2025-12-10T13:29:46","date_gmt":"2025-12-10T13:29:46","guid":{"rendered":"https:\/\/lonecandle.com\/?p=20699"},"modified":"2025-12-10T13:29:46","modified_gmt":"2025-12-10T13:29:46","slug":"trump-is-taking-3-steps-backward-in-the-ai-race","status":"publish","type":"post","link":"https:\/\/lonecandle.com\/?p=20699","title":{"rendered":"Trump Is Taking 3 Steps Backward in the AI Race"},"content":{"rendered":"\n

“The first giant leap backward<\/strong> has been a dangerous weakening<\/a> of public data, the raw material required to train AI models. The federal government collects troves of data<\/a> that families and businesses use every day \u2014 traffic patterns and census information, nutritional assessments and air quality reports, soil data and economic measures.<\/p>\n\n\n\n

…<\/p>\n\n\n\n

the administration has spent months ordering agency after agency to delete or hide data that\u2019s politically inconvenient, and indiscriminately firing employees including those who manage valuable datasets.<\/p>\n\n\n\n

…<\/p>\n\n\n\n

Initial research shows the eye-popping potential for AI weather forecasts that could be precise down to a city block or accurate as far ahead as a month. But that\u2019s only possible with the sensor data that the National Oceanic and Atmospheric Administration (NOAA) collects and curates from weather stations, ships, balloons, aircraft, satellites and buoys. The Trump administration has reduced weather balloon launches<\/a> and removed hundreds of agency staff. It plans to cut back on NOAA satellites<\/a> and shutter more than a dozen facilities that gather and curate data.  <\/p>\n\n\n\n

…<\/p>\n\n\n\n

The Trump administration has also disrupted the collection of important health data<\/a>. One example is data the Centers for Disease Control and Prevention gathered for nearly four decades from a representative sample of volunteers to understand risks in pregnancy. That valuable data now remains scattered and hard to access, because the CDC first shuttered the database<\/a> to avoid collecting data on race and ethnicity in line with the administration\u2019s executive order against \u201cDEI,\u201d and then placed the staff on administrative leave<\/a>. That makes it harder to learn why Black maternal mortality is more than twice the national average, or how to protect all mothers and newborns. Data on vaccine safety, farm labor, hunger, greenhouse gas reporting and international development have also been deleted or degraded.<\/p>\n\n\n\n

For AI to be effective against these immensely complex challenges, the smarter move would have been to expand data collection and support the agency staff who make sure datasets are robust and accessible.<\/p>\n\n\n\n

…<\/p>\n\n\n\n

With steady support from Congress over successive administrations, eight decades of federal research funding made it possible to start new industries, prevent and cure diseases, deter potential adversaries, understand and start to manage environmental risks and expand the boundaries of human knowledge. This research base is where AI itself came from, and to harness AI for the next generation of advances, federal support is essential.<\/p>\n\n\n\n

Instead, the Trump administration has frozen grants, attacked leading research universities, curtailed high-talent immigration, ousted thousands of research agency staff and proposed a $44 billion reduction<\/a> in federally funded research and development \u2014 the largest single-year cut in history.<\/p>\n\n\n\n

While some take solace in the administration\u2019s cuts sparing specific budget lines for AI research and the new executive order for Energy Department research using AI, that\u2019s like buying more tractors while you kill off your crops. AI is a tool<\/em>, not the goal itself. The federal government needs to fund not just AI researchers, but researchers in the full range of promising fields that need AI to advance”<\/p>\n\n\n\n

\nhttps:\/\/www.politico.com\/news\/magazine\/2025\/12\/03\/what-the-trump-administration-is-getting-right-and-wrong-on-ai-00674211\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"

“The first giant leap backward has been a dangerous weakening of public data, the raw material required to train AI models. The federal government collects troves of data that families and businesses use every day \u2014 traffic patterns and census information, nutritional assessments and air quality reports, soil data and economic measures.<\/p>\n

…<\/p>\n

the administration has spent months ordering agency after agency to delete or hide data that\u2019s politically inconvenient, and indiscriminately firing employees including those who manage valuable datasets.<\/p>\n

…<\/p>\n

Initial research shows the eye-popping potential for AI weather forecasts that could be precise down to a city block or accurate as far ahead as a month. But that\u2019s only possible with the sensor data that the National Oceanic and Atmospheric Administration (NOAA) collects and curates from weather stations, ships, balloons, aircraft, satellites and buoys. The Trump administration has reduced weather balloon launches and removed hundreds of agency staff. It plans to cut back on NOAA satellites and shutter more than a dozen facilities that gather and curate data. <\/p>\n

…<\/p>\n

The Trump administration has also disrupted the collection of important health data. One example is data the Centers for Disease Control and Prevention gathered for nearly four decades from a representative sample of volunteers to understand risks in pregnancy. That valuable data now remains scattered and hard to access, because the CDC first shuttered the database to avoid collecting data on race and ethnicity in line with the administration\u2019s executive order against \u201cDEI,\u201d and then placed the staff on administrative leave. That makes it harder to learn why Black maternal mortality is more than twice the national average, or how to protect all mothers and newborns. Data on vaccine safety, farm labor, hunger, greenhouse gas reporting and international development have also been deleted or degraded.<\/p>\n

For AI to be effective against these immensely complex challenges, the smarter move would have been to expand data collection and support the agency staff who make sure datasets are robust and accessible.<\/p>\n

…<\/p>\n

With steady support from Congress over successive administrations, eight decades of federal research funding made it possible to start new industries, prevent and cure diseases, deter potential adversaries, understand and start to manage environmental risks and expand the boundaries of human knowledge. This research base is where AI itself came from, and to harness AI for the next generation of advances, federal support is essential.<\/p>\n

Instead, the Trump administration has frozen grants, attacked leading research universities, curtailed high-talent immigration, ousted thousands of research agency staff and proposed a $44 billion reduction in federally funded research and development \u2014 the largest single-year cut in history.<\/p>\n

While some take solace in the administration\u2019s cuts sparing specific budget lines for AI research and the new executive order for Energy Department research using AI, that\u2019s like buying more tractors while you kill off your crops. AI is a tool, not the goal itself. The federal government needs to fund not just AI researchers, but researchers in the full range of promising fields that need AI to advance”<\/p>\n

https:\/\/www.politico.com\/news\/magazine\/2025\/12\/03\/what-the-trump-administration-is-getting-right-and-wrong-on-ai-00674211<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[1129,221,236,551,1005,170],"class_list":["post-20699","post","type-post","status-publish","format-standard","hentry","category-article-share","tag-ai","tag-donald-trump","tag-regulation","tag-regulations","tag-technology","tag-trump"],"_links":{"self":[{"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/posts\/20699","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lonecandle.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20699"}],"version-history":[{"count":1,"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/posts\/20699\/revisions"}],"predecessor-version":[{"id":20700,"href":"https:\/\/lonecandle.com\/index.php?rest_route=\/wp\/v2\/posts\/20699\/revisions\/20700"}],"wp:attachment":[{"href":"https:\/\/lonecandle.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20699"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lonecandle.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20699"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lonecandle.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20699"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}