AI is not a single technology breakthrough, like a bat-wing stealth bomber. The race for AI supremacy is not like the space race to the moon. AI is not even comparable to a general-purpose technology like electricity. However, what Thomas Edison said of electricity encapsulates the AI future: “It is a field of fields … it holds the secrets which will reorganize the life of the world. This is a 756 page report. They conclude that the US is ahead in AI and needs to stay ahead.
The National Security Commission on Artificial Intelligence’s (NSCAI) task is to make recommendations to the President and Congress to “advance the development of artificial intelligence [AI], machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States.
Part I: Defending America in the AI Era.
Part II: Winning the Technology Competition.
This new era of competition promises to change the world we live in and how we live within it. We can either shape the change to come or be swept along by it. We now know that the uses of AI in all aspects of life will grow and the pace of innovation will continue to accelerate. We know adversaries are determined to turn AI capabilities against us. We know China is determined to surpass us in AI leadership. We know advances in AI build on themselves and confer significant first-mover advantages. Now we must act. The principles we establish, the federal investments we make, the national security applications we field, the organizations we redesign, the partnerships we forge, the coalitions we build, and the talent we cultivate will set America’s strategic course. The United States should invest what it takes to maintain its innovation leadership, to responsibly use AI to defend free people and free societies, and to advance the frontiers of science for the benefit of all humanity. AI is going to reorganize the world. America must lead the charge.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
Sandbox AI
Too late.
The current state of so-called AI is that there is no AI and it doesn’t look like it will be anytime soon.
I mean, according to my tests, LLMs can perhaps write something interesting, even for work. The problems are semantic errors. The grammar could be perfect; it may sound great, but there is no true intelligence behind it. So when you try to use that, hidden logic errors do more damage than good. Large text with camouflaged logic errors makes the whole text useless.
Whether there is “true intelligence” involved or not is irrelevant to AI as it now exists transforming the world and replacing a large fraction of current human labor. This is just the expected effect of moving the bar which has always happened when AI reached new milestones. Humans make semantic errors too. LLMs aren’t so error prone they are worse than typical human performance at many many tasks that would have seemed impossible a few years ago. They can pass Bar exams and Medical boards and all sorts of other tasks the large majority of humans can’t handle, that’s good enough to be a customer service rep or most other jobs that are just being a specialized player in a team. LLMs can use existing software apps and write code. They can operate in teams with other AIs and humans. They can be a check on each other’s performance just like humans. All of this already works it just isn’t widely distributed. Whether it involves some definition of True Intelligence won’t change a thing.
Want to increase American competitiveness in the world? Ditch this “woke” DEI and place emphasis exclusively on competence and merit in all spheres of endeavor.
It begs the question: what will the first self-aware AI identify as?
It’s odd to carry this sort of politics into discussions about AI. Isn’t it obvious that AI makes these trivial concerns of either side irrelevant? Whether concerns about not hiring enough diversity or about mandating diversity – merit and competence standards for most jobs would mean dumping the humans in favor of Neural Networks that are 10X as fast, 1% of the cost, never complain, get sick, go on vacation, take breaks, go on strike, get offended, or suffer if management makes bad decisions.