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Chapter 801: Chapter 336: Commander?
[Full Automatic Intelligent Cyber Troop (Legion Level) Black Box Program]
[Import the program into the AI server, the Host will use its functions as the sole Commander]
[Selling Price: 1 billion dog food]
[This program can provide up to 50,000 AIs with intelligence equal to a 10-year-old and high school-level knowledge, each soldier requires at least one week of internal training, up to 10,000 soldiers can be trained simultaneously]
[Changing basic settings or retiring soldiers will completely erase their traces, retraining is needed afterwards]
[Executable tasks: generate identities, change IP, register IDs, simulate human surfing, act as trolls, give rainbow farts, get real internet data, and other simple cyber troop activities]
[The security level of this program is F18]
[Absolutely safe within the next 18 years, highly safe from the 18th to the 25th year, safety rapidly declines after 25 years]
Well, hello future high-tech?
Actually, Su Huai was not unfamiliar with robotic cyber troops, as they were quite common in later generations.
However, until his rebirth, robotic cyber troops had never achieved child-level intelligence; their logic was extremely rigid, just try circling around a couple of times and you could break through, or you could distinguish them using a data analysis module if you didn’t want to break through.
For instance, the most typical, buying cyber troops in the entertainment industry.
Super topic check-ins, Weibo and Douyin shares and comments, discussions on various platforms during drama broadcasts, all this data can be bought.
But low-intelligence cyber troops, their work is quite rough.
Often, they exert efforts in a focused period, causing a bustling scene for a while, then continue the next day.
Why not spread it out to every minute within 24 hours?
Because the intelligence level is too low, actual people must give commands and monitor in order to complete the process, but cyber troop companies have more than just your job, dragging what can be done in half an hour into 24 hours, what about other clients’ orders?
Additionally, considerations about computing power, electricity consumption, work scheduling, and others also come into play, these companies also have costs.
So these rough tactics often get skinned by powerful netizens, stripped completely dry.
Taking top male and female celebs as examples, Xiao Zhan had 550,000 super topic check-ins with almost no fluff, Wang Yibo had 400,000 check-ins with 100,000 being fluff, Gong Jun was more abstract, with 150,000 out of over 200,000 being fluff.
On the female star side, Ju Jingyi had over 300,000, Reba had 180,000 clean check-ins, the following four general females all had around 50,000 fluff.
Notably worth mentioning, Big Mimi had 50,000 check-ins, 10,000 fluff, An Qian had 35,000 check-ins, 10,000 fluff, Nazha was entirely unlisted.
(*ﾟｰﾟ)
Of course, these 10,000 level small fluffs generally aren’t bought but are promotional freebies from marketing by their teams or collaborators, Zhou Shen, Cheng E, and Zhu Yilong all have them, not considered scandals.
Actually, super topic check-ins and forwarded comments are not crucial data, they only reflect traffic and fan excitement, not national popularity or actual commercial value, so when Feixian announced her comeback to TV dramas, businesses immediately rushed forward with their cash.
None of the series she filmed afterward exploded in popularity, but as long as there was a new project and the platform released her solo poster, it instantly attracted full sponsorship.
After more than 20 years, among all actors regardless of gender, she remains number one in attracting sponsorships.
This is the horror of national popularity.
However, despite sponsorships and leading marketing not solely relying on various data, if all data could be made beautiful, the boost to future development still remains immeasurable.
Clearly, ordinary robotic cyber troops couldn’t achieve this.
The real trouble with robotic cyber troops lies in their huge numbers and unabating presence, which badly lacks authenticity in interaction.
But, a legion generated from the shop is different, intelligence of a 10-year-old plus high school knowledge, they can be used like real people.
If operating around the clock on various platforms according to real human rhythms and logic, boosting more during prime time and less during off-peak hours, creating a smooth and natural curve, then who could tell.
How would it matter if advertisers got the stripped data from drama streaming platforms and short video platforms?
Our discussions are real and effective!
Additionally, the volume created when 50,000 accounts act together can drive at least a million bystanders to participate, which is terrifying.
To put it bluntly: whoever you want to turn red-hot, you can; whoever you want to blacken into coal, becomes coal. 𝒏𝙤𝙫𝒑𝙪𝙗.𝙘𝒐𝙢
Think about it, the "Ancient Love Song," costing 4 million in production fees, slowly became popular through word of mouth; the initial few hundred tap water endorsements, the path they laid out was painfully long, transforming to 50,000 fervent fans took at least six months, if it weren’t genuinely high quality it would have died silently.
But what if from the beginning there were 50,000 fervent tap water endorsers?
It would explode on day one, top the charts within a week, then it’s all tears!
So, in a way, the legion program really defies the heavens.
But Su Huai heaved a deep sigh: Ah, such a chicken rib...
Firstly, he’s not in the entertainment circle, the significance of data isn’t that big, internet celebrities operate on another level of logic.
Secondly, fake is ultimately fake, only having online volume, landing commercial collaborations but no product purchases, how terrible would a live flop be?
Thirdly, cyber troops are ultimately a gray industry, although everyone is using them, he couldn’t use this program to directly profit, nor dare to use it to influence public opinion, so it could only prance around in the entertainment circle, making the price tag of 1 billion dog food seem too lacking in cost-effectiveness.
