The Trump administration revealed details of its highly anticipated artificial intelligence plan of action ahead of President Donald Trump's major speech later on Wednesday, which is expected to also include the president signing at least one executive order related to the U.S.' artificial intelligence race. Administration leaders, including White House Office of Science and Technology policy director Michael Kratsios and AI and crypto czar David Sacks, held a background call with the media Wednesday morning and outlined a three-pillar plan of action for artificial intelligence focused on American workers, free speech and protecting U.S.-built technologies. "We want to center America's workers, and make sure they benefit from AI," Sacks said on the call while describing the three pillars. "The second is that we believe that AI systems should be free of ideological bias and not be designed to pursue socially engineered agendas," Sacks said. "And so we have a number of proposals there on how to make sure that AI remains truth-seeking and trustworthy. And then the third principle that cuts across the pillars is that we believe we have to prevent our advanced technologies from being misused or stolen by malicious actors. And we also have to monitor for emerging and unforeseen risks from AI." President Donald Trump is expected to deliver a major speech focused on artificial intelligence on July 23, 2025.

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Tech experts warned that premature regulation of artificial intelligence could give China a leg up, allowing the country to meet its goals of dominating the world in technology. "The United States is in a relatively precarious position, and we have to make sure we move fastest on the technology," Alexandr Wang, the founder and CEO of Scale AI said at the Milken Institute Global Conference Monday. China has released plans to make the country the global leader in AI by 2030, as well as a National Innovation-Driven Development Strategy for use by the country's military. Panelists speak about artificial intelligence at the Milken Institute Global Conference.

China is winning the AI race due to the US army's sluggish digital transformation, private actors' reluctance to work with the state, and too many ethical debates stifling innovation. The Pentagon knew it had a problem when Nick Chaillan, its first-ever chief software officer quit, saying the United States has no competing fighting chance against China in 15 to 20 years when it comes to cyberwarfare and artificial intelligence. According to the experts, whoever leads in artificial intelligence in 2030, will rule the world until 2100. And it is a race that some say America is losing. China has strengthened its capabilities in computer vision, facial recognition, emotion recognition, and more.

Wu Dao 2.0 has surpassed OpenAI's GPT-3 in so many ways. China could grow to monopolise the language modelling world. Artificial intelligence models have become a strong informal indicator of national and continental progress. Wu Dao 2.0 means enlightenment. It is dubbed as China's first homegrown super-scale intelligent model system, and was led by BAAI Research Academic Vice President and Tsinghua University Professor Tang Jie.

Artificial intelligence (AI) has become a buzzword in technology in both civilian and military contexts. With interest comes a radical increase in extravagant promises, wild speculation, and over-the-top fantasies, coupled with funding to attempt to make them all possible. In spite of this fervor, AI technology must overcome several hurdles: it is costly, susceptible to data poisoning and bad design, difficult for humans to understand, and tailored for specific problems. No amount of money has eradicated these challenges, yet companies and governments have plunged headlong into developing and adopting AI wherever possible. This has bred a desire to determine who is "ahead" in the AI "race," often by examining who is deploying or planning to deploy an AI system.

Artificial intelligence (AI) has become a buzzword in technology in both civilian and military contexts. With interest comes a radical increase in extravagant promises, wild speculation, and over-the-top fantasies, coupled with funding to attempt to make them all possible. In spite of this fervor, AI technology must overcome several hurdles: it is costly, susceptible to data poisoning and bad design, difficult for humans to understand, and tailored for specific problems. No amount of money has eradicated these challenges, yet companies and governments have plunged headlong into developing and adopting AI wherever possible. This has bred a desire to determine who is "ahead" in the AI "race," often by examining who is deploying or planning to deploy an AI system.

Most chess computers play a purely mathematical strategy in a game yet to be solved. They are raw calculators and look like it too. AlphaZero, at least in style, appears to play every bit like a human. It makes long-term positional plays as if it can visualize the board; spectacular piece sacrifices that no computer could ever possibly pull off, and exploitative exchanges that would make a computer, if it were able, cringe with complexity. In short, AlphaZero is a genuine intelligence.

The extent to which government regulates the creation of AI systems and their underlying algorithms will be critical, or potentially damaging, to those countries, companies and engineers racing toward the next AI application and economic breakthrough. It is easy to label this thinking as a "race to the bottom" or a "slippery slope," but the real concern should be whether the actual development of AI occurs with or without the best and brightest individuals in the room. If the right leadership is lacking or a negative narrative of AI prompts a regulatory minefield, it may push the best engineers away and sideline them when we need them most. Digital engineers in academia and industry are indeed capable of addressing the predominant challenges of AI in regards to bias, equality, privacy and explainability, but they can be more effective and work faster with focused resources and leadership.

If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade. Regardless of the answer, the technology will forge ahead.

If you shop online or occasionally speak to a voice assistant in the morning, you are already embracing the changes this technology has created. Many people are familiar with the advances of autonomous vehicles or facial recognition technology, and some may be curious, or even anxious, about how they will affect safety or privacy. Make no mistake, AI is a transformative technology that is influencing our daily lives and will touch every sector of the global economy. Whether society and government enable or inhibit the AI race, and the extent to which they do so, will be a critical question of the next decade. Regardless of the answer, the technology will forge ahead.