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Home Artificial Intelligence (AI)

Everyone Has Given Up on AI Safety, Now What?

Sam Marten – Tech & AI Writer by Sam Marten – Tech & AI Writer
February 25, 2025
in Artificial Intelligence (AI)
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The End of the AI Safety Debate

For years, a passionate contingent of researchers, ethicists, and policymakers warned about the potential dangers of unchecked artificial intelligence development. They argued about p(doom) probabilities, AI alignment strategies, and regulations that could prevent catastrophe. But as of now, that conversation has all but collapsed.

The Cost of AI is Dropping to Near Zero

One of the most overlooked aspects of AI acceleration is the rapidly declining cost of both training and inference. Just a few years ago, training a state-of-the-art AI model required billions of dollars in compute resources. Today, open-source models can be fine-tuned on consumer GPUs for a fraction of the cost.

China’s AI Revolution Despite GPU Restrictions

The United States has worked hard to limit China’s access to advanced GPUs, imposing export restrictions on cutting-edge AI chips like NVIDIA’s A100 and H100. The hope was that by restricting hardware, China’s AI ambitions would be slowed down. That strategy has failed spectacularly. Chinese research labs and companies have figured out how to build and train capable AI models even with less powerful GPUs or source-restricted GPUs through other channels.

Bad Actors and AI-Powered Scam Bots

If the AI safety conversation has disappeared from the corporate boardrooms, it certainly hasn’t disappeared from cybercriminal networks. Malicious actors are leveraging AI in increasingly sophisticated ways:

  • Automated scam bots can impersonate real people, hold natural conversations, and socially engineer victims far more effectively than traditional phishing emails.
  • AI-generated fraud in the form of deepfake videos, voice synthesis, and hyper-realistic fake identities that can bypass verification systems.
  • AI-enhanced hacking tools that automate reconnaissance, exploit discovery, and attack execution at unprecedented speeds.

The Job Market is Collapsing Under AI-Generated Content

The narrative that AI would merely "augment" human work, rather than replace it, is quickly falling apart. AI-generated content—whether text, images, video, or even software code—is rapidly making many traditional roles obsolete.

So, What Happens Now?

The genie is out of the bottle, and there is no putting it back. AI safety has become an afterthought in the race for more powerful systems. Governments are largely playing catch-up, bad actors are already taking full advantage of AI, and entire industries are being upended in real time.

Conclusion

The AI arms race is now fully global, and the debate about safety has all but disappeared. The cost of AI is dropping to near zero, and the frontier AI companies are racing to roll out increasingly advanced models with the primary focus being one thing: dominance.

FAQs

Q: What is the impact of AI on the job market?
A: AI-generated content is rapidly making many traditional roles obsolete, including copywriting, graphic design, customer service, and video production.

Q: What is the current state of AI safety?
A: The AI safety conversation has disappeared from corporate boardrooms, and the debate has been replaced with a focus on dominance.

Q: How is China’s AI development progressing?
A: China has figured out how to build and train capable AI models even with less powerful GPUs or source-restricted GPUs through other channels, and is now a major player in the AI arms race.

Q: What is the impact of AI on cybersecurity?
A: Malicious actors are leveraging AI in increasingly sophisticated ways, including automated scam bots, AI-generated fraud, and AI-enhanced hacking tools.

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Sam Marten – Tech & AI Writer

Sam Marten – Tech & AI Writer

Sam Marten is a skilled technology writer with a strong focus on artificial intelligence, emerging tech trends, and digital innovation. With years of experience in tech journalism, he has written in-depth articles for leading tech blogs and publications, breaking down complex AI concepts into engaging and accessible content. His expertise includes machine learning, automation, cybersecurity, and the impact of AI on various industries. Passionate about exploring the future of technology, Sam stays up to date with the latest advancements, providing insightful analysis and practical insights for tech enthusiasts and professionals alike. Beyond writing, he enjoys testing AI-powered tools, reviewing new software, and discussing the ethical implications of artificial intelligence in modern society.

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