The end of the IA security debate
For years, a contingent passionate about researchers, ethicians and political decision -makers has warned of the potential dangers of the development of uncontrolled artificial intelligence. They argued on the probabilities of P (Doom), AI alignment strategies and the regulations that could prevent disaster. But for the moment, this conversation has practically collapsed.
Border AI companies – Openai, Anthropic, Google Deepmind and others – have fully moved gears. They no longer speak of the break in progress in AI or the carefully assessment of existential risks. Instead, they run to deploy increasingly advanced models, the main objective being one thing: dominance. AI security was once part of the conversation; Now it is hardly more than a footnote.
So what's going on now?
The cost of AI falls to zero
One of the most neglected aspects of AC acceleration is the rapid drop in the cost of training and inference. Barely a few years ago, the formation of a cutting -edge AI model required billions of dollars in calculation resources. Today, open source models can be refined on consumption GPUs for a fraction of the cost.
Not only that, but access based on the API to the most powerful AI systems becomes cheaper by the month. What cost hundreds or thousands of dollars to generate high -quality text, images and videos now costs money – or nothing at all. Companies aggressively reduce prices to compete, and new innovations in efficiency (such as better quantification and material acceleration) facilitate the task for anyone, anywhere, to exploit powerful AI tools.
If AI was once the field of elite research laboratories, it is now a commodity. This has massive implications for safety, labor markets and the balance of powers on a global scale.
AI revolution in China despite GPU restrictions
The United States has worked hard to limit the access of China to advanced GPUs, imposing export restrictions on cutting-edge AI fleas like Nvidia in Nvidia and H100. The hope was that restricting the material, the ambitions of China AI would be slowed down.
This strategy failed dramatically. Chinese research laboratories and companies have understood how to build and train AI models capable even with less powerful GPUs or GPUs at source through other channels. Some use massive clusters of older equipment, while others have optimized software stacks to extract each power supply by limited calculation. China has also accelerated its own production of interior fleas, and although it is still lagging behind in Nvidia in raw performance, the gap is quickly.
The result? AI's arms race is now entirely global. The idea that the West could “contain” the development of AI was always naive, but now it is pure and simple laughable.
Bad actors and scam robots powered by AI
If the Conversation on the Safety of the AI has disappeared from the company's order rooms, it has certainly not disappeared from the cybercriminal networks. The malicious actors take advantage of the increasingly sophisticated AI:
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Automated scam rots Can pretend to be real people, hold natural conversations and socially ingenious victims much more effectively than traditional phishing emails.
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Fraud generated by AI In the form of Deepfake videos, vocal synthesis and false hyper-realistic identities which can bypass the verification systems.
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Improved hacking tools AI Who automates recognition, exploit discovery and attack execution at unprecedented speeds.
While the cost of AI continues to drop, these tools become available for lower level criminals, not only the actors in the nation state. The defenses against cyber-menices focused on AI are barely maintained and, in many cases, they lose ground.
The labor market collapses under content generated by AI
The story that AI would simply “increase” human work, rather than replace it, quickly collapses. The content generated by AI – be it text, images, video or even software code – quickly makes many traditional roles obsolete.
Industries have been reaching the hardest time so far:
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Writing and journalism: The AI can generate coherent and engaging articles on a large scale, making many redundant writing jobs.
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Graphic design and illustration: AI tools can produce high-quality visuals in a few seconds, a undercoat of independent artists and designers.
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Customer service: Chatbots fueled by AI replace human agents in support roles, and they improve every day.
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Video production: The video content generated by AI improves to the point where whole advertisements, presentations and even entertainment clips can be carried out with minimal human intervention.
And this is only the beginning. AI models are quickly evolving and businesses see the benefits of automation costs. The promise of “new jobs replacing the ancients” seems more and more fragile while the capacities of the AI continue to develop.
So what's going on now?
The genius came out of the bottle, and there is no postponement. AI security has become a reflection afterwards in the race for more powerful systems. Governments largely play the catch -up, the bad actors already take full advantage of AI, and entire industries are upset in real time.
There are some possible scenarios for a near future:
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Regulatory republics (too little, too late?) Governments can possibly introduce strict regulations on AI, but when they do, the development of AI will have exceeded their capacity to control it significantly. AI models are already open-source and training techniques are widely known. The regulations will probably take the form of restrictions on the disinformation generated by AI, security requirements and possibly license requirements for AI developers, but the application will be difficult.
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The AI bubble bursts (or this is not the case) Some maintain that the AI will eventually strike decreasing yields and that the media threw will extend. However, even if we hit a tray in the model's abilities, existing technology is already sufficiently disruptive to permanently change the economic landscape. There is no “return” to a world where AI is not omnipresent in commercial and security problems.
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Acceleration at AG (and then?) Many AI companies openly work on general artificial intelligence (AG) – a system that can reason and learn like a human. If they succeed, all bets are turned off. A superintendent AI could reshape civilization in a way that we cannot predict, for better or for worse.
AI security, as a consumer concern, is dead. What remains is an AI arms race between societies, governments and bad players, with little surveillance and quickly decrease costs. We are now in an unexplored territory, where AI becomes a fundamental force that shapes society at all levels.
So what's going on? No one knows with certainty. But what is clear is that we have exceeded the point of slowing down.
