Quotes
No, the President is confident that we will restore American dominance in AI."
When asked if there is a fear that the US either is falling or has fallen behind in the AI race, Leavitt confidently replied The President was asked about DeepSeek last night on Air Force 1 when he gaggled for the third or fourth time throughout the weekend with members of the traveling press corps. The President said that he believes that this is a wake-up call to the American AI industry. The last administration sat on their hands and allowed China to rapidly develop this AI program,
This is again incredibly important to ensure that this Administration is taking into consideration how hard the American people are working and their tax dollars actually matter to this Administration. You know just during this pause Doge and OMB have actually found that there was USD 37 million that was about to go out the door to the World Health Organization. President Trump with the swipe of his pen in that executive order said US no longer wants to be a part of so that wouldn't be in line with the president's agenda,
So President Trump believes in restoring American AI dominance and that's why he took very strong executive action this past week to sign executive orders to roll back some of the honorous regulations on the AI industry. President Trump has also proudly appointed the first AI in crypto czar at this White House David Sacks...and his team is here working every single day to ensure American AI dominance. As for the National Security implications, National Security Council (NSC) are looking into what those may be,
Look, the way this works is, we're gonna tell you it's totally hopeless to compete with us on training foundation models, you shouldn't try—and it's your job to try anyway."
Altman's response is blunt and laced with overconfidence Funny how 'totally hopeless' turned into real competition in just over a year. The AI space is moving fast—centralised control is breaking down, but the question remains: who gets to define the future of AI governance?"
This shows that the race for AI is far from being over,
European Commission spokesperson Thomas Regnier told reporters on Tuesday in Brussels High-quality efficient AI models are no longer the exclusive domain of tech giants with huge hardware resources,
said Lucie Aimée Kaffee, EU policy lead and applied researcher at Hugging Face, an open-source AI development platform If you’re working on certain sensitive applications, you should beware [of] Chinese labs bearing gifts,
It’s quite something that you store keystroke patterns, on Chinese servers,
said Dutch liberal member of the European Parliament Bart Groothuis It also influences the way we are searching, the way we are thinking, how information is being provided,
How is a small, smart team with a budget of $10 million could build something substantial within AI?” ... It's totally hopeless to compete with us on training foundation models.”
The old video from 2023 shows Sam Altman attending an event in India where he was asked ... He replied Classic non-techie answer.” ... Actually, people like Sam Altman are responsible for creating artificial scarcity in the field of AI. Had OpenAI been an open-source organization, DeepSeek moment would have occurred much earlier.”
A third expressed ... A fourth wrote Now the top AI concern has to be ensuring [the United States] wins."
Adam Kovacevich, CEO of the tech industry trade group Chamber of Progress, echoed the sentiment We should take the developments out of China very, very seriously."
But last week at the World Economic Forum in Davos, Nadella warned We would like to bring to your attention a critical update regarding a new AI model called DeepSeek,
It's wild that hinting that a single (high-performing) LLM is able to achieve that performance without brute-forcing the shit out of thousands of GPUs is enough to cause this,
Today's 'DeepSeek selloff' in the stock market -- attributed to DeepSeek V3/R1 disrupting the tech ecosystem -- is another sign that the application layer is a great place to be,
To people who think 'China is surpassing the U.S. in AI,' the correct thought is 'open source models are surpassing closed ones,'
said Yann LeCun, chief AI scientist at Meta, which has supported open sourcing with its own Llama models Does this mean you don't need large GPU clusters for frontier LLMs? No, but you have to ensure that you're not wasteful with what you have, and this looks like a nice demonstration that there's still a lot to get through with both data and algorithms."
Andrej Karpathy who co-founded OpenAI, posted on X
