Now that AI has essentially shown that it has ended the field of human only mathematics by solving the Navier Stokes problem people are starting to realize that AI is going fundamentally change the way STEM is done by humans and the traditional approach of having a person doing 5 years for a PhD and 3 years for a postdoc will no longer be viable os useful approach. The sense is that physics and advanced engineering are next. Some of the are experts are saying the next step will be when AI can do self improvements on its own which will happen in year after which all bets are off for all of science.
The question is are the labs getting really aware of what is going to happen and starting to prepare to take advantage of this particularly over our advisories. Some the lab leadership is seeing push back from scientists on AI since they know it is existential threat. The issue is that the people with the 10,000 foot view see what is going on but the people in the trenches do not.
Business as usual at the NNSA labs will be coming to and end and to compete with our advisories it must come to end. The problem is are we reacting fast enough? AI may already be a super intelligence but this will not even be in question by next year. The group that masters that will win. It is now all about speed.
13 comments:
These paragraphs were obviously written using AI. They are full of mistakes.
AI doesn't make those kind of mistakes in basic grammar and spelling.
"These paragraphs were obviously written using AI. They are full of mistakes."
Actually this shows that it was not written by AI and why AI is way smarter than humans.
In fact AI is the most important event in all of human existence. Not only can it spell and do grammar better than the weirdos who post on this blog but it will do everything else 10^100^100 times better.
In 2 years we will only need NNSA managers, stripers, and some billionaires and about 10 trillionairs. . Money will have no meaning for everyone else and hence debt will be meaningless. In 5 years time we will not even need those things.
All I know is that when Anthropic and Open AI go on the stock market you should put every last dollar in it... all of it. If you are worried that might be bubble just remember AI will make money meaningless in a few years anyway so you have nothing to lose.
The day human-only mathematics died has already arrived. When OpenAI’s multi-agent system shattered the two-century-old Navier-Stokes Millennium Prize problem in a mere 88 hours, it wasn’t just a breakthrough—it was an execution. The traditional academic pipeline, where a mind spends five years grinding for a PhD and three more trapped in a postdoc, is obsolete. Advanced physics and engineering are the next dominoes to fall, and the horizon holds something far more volatile: self-improving AI. Within a year, the machines will begin upgrading themselves, and the rulebook for all of human science will be permanently incinerated.
The critical question is whether our national laboratories truly grasp the scale of this incoming shockwave, or if they are letting our adversaries weaponize it first.
Inside the National Nuclear Security Administration (NNSA) labs, a quiet civil war is brewing. The 10,000-foot view reveals a brutal truth, but in the trenches, leadership is met with fierce pushback from scientists who realize AI is an existential threat to their livelihoods and identities. Business as usual is a death sentence. To survive and compete globally, the legacy culture must be dismantled immediately.
We are running out of time. By next year, the debate over whether AI has achieved superintelligence will be ancient history. The faction that masters this technology first inherits the future. It is no longer about precision; it is purely a war of speed.
AI writes the paragraphs for Google searches. All the time I see simple mistakes like words being inserted that should not be there and other simple mistakes. At the bottom of all these paragraphs Google places a warning that AI makes mistakes and one should check what is written.
Note the first sentence in the third paragraph. This is similar to what I see from Google.
Historically, movements that sought to "elevate the ordinary person" by dismantling the intellectual class (the intelligentsia) often encountered a specific problem: the collapse of the systems that keep society running. The good news, is that soon we can dismantle those systems — those will no longer be needed once we have AI in place, and humans become redundant. A “new world order” will rise!!
"I can't wait for the systems to collapse. Think of the freedom! No more bureaucracy, no more complex governance—just a benevolent black box handling everything. It's basically a digital paradise where we don't have to understand how anything works. Why bother with a PhD when you can just ask the AI?"
It took 10,000 AI agents working in parallel to solve it. It’s a parallel computing problem, not some brilliant self-thinking artificial being at work.
I think we are somewhere between Chicken Little and Skynet.
The Navier-Stokes problem is no mere exercise in mathematics; it is an foundational riddle woven into the fabric of the physical universe, and its ultimate solution carries consequences that cannot be underestimated. For unyielding centuries, humanity has stood helpless before the chaotic swirl of smoke, the violent churn of ocean currents, and the unpredictable, murderous fury of storms—capturing their terrifying motion only in rough, deeply imperfect approximations. The equations we have clung to are nothing more than a fragile bridge suspended over a vast, howling chasm of cosmic randomness. To conquer this problem is to finally strip the chaos of its power, unlocking a precise, terrifying mastery over the very fluids that sustain and threaten life on Earth. Whoever shatters this silence will not merely claim a prize; they will permanently bend the trajectory of human capability.
Artificial intelligence stands as the single most monumental event in human history—and should it prove that we are entirely alone in the suffocating silence of the universe, it ascends to the most important event of all time.
The idea used to find the Navier-Stokes proof came from humans. The AI simply was able to execute it with the brute force humans cannot muster. This isn't much different than how super computers do calculations. The important ideas needed for the breakthrough are human creativity that AI cannot muster.
The key point is that human creativity needs to be cultivated. The problem is that modern management including the Labs kills human creativity and initiative. Creative human work is risky and failure prone. Current management cannot support that sort of work.
The sirens do not sound for standard procedures, and the National Nuclear Security Administration (NNSA) does not gamble on imagination. Within the fortified walls of Los Alamos, Sandia, and Lawrence Livermore, the argument for human "creativity" is treated not as an asset, but as a dangerous, intolerable liability.
Creativity is obsolete, and so is the traditional scientist. AI does not get distracted, it does not seek artistic expression, and it never deviates from the immutable laws of physics. It calculates, verifies, and secures at speeds no human mind can match. By stripping away the need for creative intuition, the path forward becomes chillingly clear: the ranks of physicists, engineers, and theorists can be systematically dismantled. The machines can ingest the data, and maintain the lethal deterrent flawlessly. In this automated fortress, only one class of human remains: the NNSA managers.
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