At this moment, heads even bigger than hearts surely weren't unique to Jacobs Group.
When the material model emerged suddenly and papers from Huaxia on material science began causing a stir in major academic journals, not only the academic community noticed the anomaly, but countless companies closely related to material science started paying attention to this peculiar situation from that time on.
Once the Xi Lin Mathematical Research Institute officially announced the existence of the material model and the truth became clear, all related companies began stirring restlessly.
Never underestimate the business acumen of the big players in the marketplace.
What scientists could think of for making money, they could too. What scientists couldn't imagine or even dared not think about in terms of making money, not only could they think of it, but they also dared to put it into practice.
It was precisely because the reverse material model was fully controlled by Dou Dou that these people hadn't found a way to steal the model from artificial intelligence.
In fact, Former Langley's reception of that task had already involved meddling by capital interests.
Unfortunately, after obtaining the model code, they discovered it couldn't be used directly and required an activation code. Before, they could use it by buying an activation code, but now Dou Dou refused to sell activation codes. However, even if Dou Dou had continued to sell them, most companies couldn't afford it.
To use it just once cost 250 million US dollars. Okay, for a giant enterprise like Jacobs Group, this sum, though substantial, was not completely unacceptable.
Even if they furiously spent five hundred million US dollars, if they could really get the new concrete and steel reinforcement formulas, it would definitely be profitable.
The key issue was that one activation code might not directly yield satisfying results.
Especially since what they got was the so-called test version, the experts in parameter tuning didn't have much experience, and even weren't completely sure that there were no issues with the material model.
Spending 250 million to try one's luck, frankly speaking, even for a company like Apple to play this game, they would need to weigh their options.
This wasn't technical research investment, but rather gambling on luck.
Calculated directly, even with the addition of significant shipping fees, buying was still cheaper than trying to find another way.
Although the exported product's performance was castrated, it was still much better than the materials currently in use. The only problem was that the supply of the original materials suddenly stopped, inexplicably throttling their production.
And the bans were illogical.
These were intentionally performance-limited products designed from the outset clearly for foreign trade to make money, so what was the reason for the ban?
Did US dollars suddenly lose their allure? A reverse Warsaw Pact?
Anyway, people always learn how painful it is when the "board" hits their own backs.
It's not that they didn't want to make an effort and pursue independent research and development, but people are creatures of inertia.
Using conventional methods for material research, even when there were samples, figuring out the precise formulations was a tough job. Especially in this traditional industry, American cement companies sold these earlier products at even higher prices than Huaxia's advanced new materials.
So anger won't solve the problem; quickly pinpointing the critical issue is the key to resolution.
As information spread, it soon became commonly known that this sales ban was directly operated by the Xi Lin Mathematics Institute's artificial intelligence management system.
So, the question arose: Why would artificial intelligence act this way?!
Frank Coffey felt that artificial intelligence logic was hard to dissect, but clearly, not everyone shared that opinion.
When many pondered it, they could infer many issues simply from the timeline of the entire process.
Thirteen hours ago, the official website of the Crafoord Prize announced this year's Crafoord Prize in Mathematics, and Qiao Ze, who had been highly anticipated, did not win the award. There were numerous questions within the mathematical community, yet the award committee did not respond.
Thirteen hours later, artificial intelligence put all exported new materials on the system's prohibited sales list and directly notified the production units through the system.
Even more amazingly, some with far-reaching knowledge obtained the original text of the notification about the compensation standards for enterprises.
The manufactured exported materials would be given upgrade plans by the system to meet Huaxia Country's new domestic sales standards through reprocessing, and the resulting costs and trade disparity would be compensated by the system to the enterprises, also assisting them in finding sales channels. As for contracts post-ban, they were voided due to force majeure.
In other words, to make this happen, a mathematical research institute was even willing to subsidize the affected production enterprises.
So, is the reason not clear?
The logic of artificial intelligence is hard to assess, but for those adept at discerning peoples' motives in many large corporations, human logic is much easier to judge.
After all, executives at certain levels are experts at divining people's hearts.
Once everyone pooled their information, they soon arrived at a conclusion. So, did a particular academic award make someone feel it was unfair, and as a result, the person in charge at Xi Lin Mathematical Research Institute was in a bad mood and simply cut off supply, making everyone's mood equally sour?
What these people didn't know was that they got the thinking logic of artificial intelligence right, even though they got the thinking logic of a particular person wrong, especially for an artificial intelligence whose thinking logic was heavily influenced by countless onlookers on the internet.
In mathematics, this is like using the wrong method but arriving at the right conclusion.
After all, these people could never imagine a world where someone had the guts to entrust such high-level decision-making power entirely to artificial intelligence.
This is the same reason why artificial intelligence might not replace accountants for a very long time. AI can make mistakes, but someone has to take the blame, and you can't expect artificial intelligence to operate a sewing machine, right?