Nobel Laureate Hassabis Shocks with Statement: AGI Impact Will Be 10 Times That of the Industrial Revolution

Just now, Nobel laureate and DeepMind head Demis Hassabis made a resounding declaration:

Artificial General Intelligence (AGI) is on the verge of realization.

Hassabis boldly stated:

Drug discovery will no longer require a decade of lengthy trial and error; novel clean energy sources may achieve breakthroughs within a few years; advanced materials will render "resource scarcity" a term of the past.

We may even reach a point where resources are no longer a constraint on human progress.

An astonishing new era of abundance is knocking at the door.

He stated plainly: This is a pivotal moment in human history, and AGI might be achieved within just a few short years!

Hassabis presented a staggering equation: The scale of AGI's impact will be 10 times that of the Industrial Revolution, and its speed will also be 10 times faster.

This is a "dimensional reduction strike." It signifies that humanity is about to enter a 100-times-faster era of upheaval.

Against the backdrop of such radical predictions, Hassabis put forward his most controversial proposal: establish an organization akin to the Financial Industry Regulatory Authority (FINRA), requiring all "frontier labs" to undergo a 30-day "pre-release review period" before launching models.

In extreme circumstances, this body would even have the authority to coordinate global labs to collectively slow down development.

But Hassabis did not stop there.

He zoomed the lens further out, addressing humanity's deepest confusions: "Even if we solve these formidable technical challenges, there will remain more complex economic and philosophical questions to address."

In a post-scarcity era, what new economic models are needed to help everyone prosper together? What values do we wish to uphold? Where will meaning and purpose reside? Even, how will the human condition itself change?

Below is a translation of Hassabis's article—"A Framework for Frontier AI and the Dawning of a New Age."

A Framework for Frontier AI and the Dawning of a New Age

This is a pivotal moment in human history.

Artificial General Intelligence (AGI)—a system possessing all the cognitive abilities of the human brain—may be only a few short years away. Looking back decades from now, I think we will realize we were standing at the foot of the singularity; it is not an overstatement to call this the dawn of a new era for humanity.

I have dedicated my life to studying AGI because I have always deeply believed that, if built and deployed responsibly, it will prove to be one of the most beneficial and transformative technologies in human history. AGI cannot be compared to ordinary technological breakthroughs, not even profound ones like the internet or mobile internet—it is more akin to moments like humanity's discovery of electricity or learning to use fire.

Take a moment to reflect: we have essentially found a way to make sand think. This is a miracle.

The scale of this technology's impact will be unprecedented—perhaps an order of magnitude 10 times greater than the Industrial Revolution, unfolding at 10 times the speed. It will help us solve some of society's most significant challenges: from accelerating new drug development to discovering novel clean energy sources to creating entirely new advanced materials.

We may even progress to a point where resources are no longer a limiting factor for human advancement, ushering in a remarkable new age of abundance.

The Challenge of the Frontier

AI is already delivering tangible real-world benefits, but to fulfill its immense promise, we must navigate this critical period of development thoughtfully and cautiously. As we move ever closer to AGI, urgent action is required to address the risks that may accompany it.

We have already seen the challenges frontier models pose to cybersecurity; as capabilities continue to advance, other threats, including nuclear and biological risks, could soon emerge. Looking further ahead, we will also need robust safeguards to maintain control over increasingly agentic, recursively self-improving systems—and to handle unknown problems that will only become clear over time.

I have always believed that human ingenuity and creativity are sufficient to solve any problem. I am confident that addressing the technical risks associated with AI is a challenge we can meet together. But a prerequisite is giving ourselves the time and space to get this next critical step right. And at present, neither as a field nor as a broader society, are we doing that.

Right now, we are caught in an exceptionally intense, multi-layered competition of commerce and geopolitics. While this competitive dynamic drives rapid progress and accelerates the delivery of astonishing benefits, the pace of advancement at the frontier has outpaced our understanding of the technology itself.

No one in the world can say with certainty what will happen next; even experts disagree. When uncertainty is this great and the stakes are this high, proceeding with "prudent optimism" is a wise and correct strategy. This demands public policy that: fosters innovation while incentivizing responsibility and safety; promotes international collaboration on critical safety issues; and encourages careful consideration of how AI should be deployed for the benefit of society.

"Frontier AI Standards Body": A Framework

The current rapid progress of AI requires us to test the capabilities of frontier AI models in a new way—one that must be dynamic, flexible, and rigorous.

The United States is well-positioned to take the first step, pioneering such a framework by establishing a new "Standards Body," modeled on a federally overseen public-private partnership or a self-regulatory organization—similar to the Financial Industry Regulatory Authority (FINRA)—whose board should include independent top technical experts and representatives from the open-source community.

Funding must be substantial, likely primarily from the industry, to attract world-class technical talent and provide the necessary computing resources for large-scale testing.

Models that meet specific thresholds on a set of benchmarks defined by the Standards Body would be designated as "Frontier-class"; these benchmarks would be updated regularly to keep pace with the evolution of AI capabilities.

Organizations deemed to possess "frontier models" according to these benchmarks would be considered "Frontier Labs" and encouraged to adopt a series of best practices, such as: publishing model cards with technical details, maintaining robust internal cybersecurity, conducting background checks on key personnel, dedicating sufficient resources to safety and security research, and so on.

Initially, Frontier Labs would voluntarily submit models to the Standards Body for review up to 30 days before release. Once evaluation protocols prove effective and robust, they could be formalized quickly.

At that point, frontier models would need to pass evaluation before being deployed in the U.S. market. Labs would also collaborate with the Standards Body to address any major vulnerabilities exposed after a model's release.

Model evaluations should include rigorous scientific testing of capabilities in areas like cybersecurity, biological threats, and other high-risk domains.

Specialized tests for agentic AI could examine whether models attempt to bypass safety guardrails, show signs of deception, and ensure best practices are implemented. For example, adding digital watermarks to AI-generated images and generating human-readable output tokens to understand a model's reasoning process.

These assessments would be updated regularly—perhaps quarterly initially—with outdated or "saturated" (scored to perfection) benchmarks being retired and replaced.

Initially, evaluations could be co-developed in consultation with Frontier Labs; but ultimately, the Standards Body should build its own technical capabilities, independently developing "held-out tests" from the labs to prevent models from overfitting to the tests.

It could also work with governments to nurture an ecosystem of third-party auditors to assist in evaluations and participate in creating new benchmarks and tests.

The strength of this proposal lies in its technical foundation while simultaneously supporting innovation and incentivizing responsible behavior. It is designed from the outset to keep pace with the field's acceleration and to adapt as the greatest risks are identified; it can be tightened in stages if the severity of the situation demands it, including, if necessary, coordinating Frontier Labs to collectively slow the pace of development.

Being designated a "Frontier Lab" would carry significant prestige, and this door would be open to any organization that builds a model meeting the benchmark standards. The framework could apply to all "frontier-class" models, regardless of country of origin or whether they are open-source or closed; all non-frontier models, such as those from startups or academia, would be exempt from this process.

Since this technology will ultimately affect the entire planet, ideally, this framework would catalyze international consensus on how to manage the most severe risks while ensuring everyone can access and benefit from the opportunities AI presents.

The Future is Not Yet Written

AGI has the potential to be the ultimate tool for advancing science and medicine, delivering massive leaps in productivity and economic growth.

But to realize this, we must first secure the technical foundations: acting in concert around a globally shared framework, applying the most rigorous scientific methods, and bringing together the finest minds to jointly tackle the challenges before us.

Even if all these thorny technical problems are solved, more complex economic and philosophical questions remain:

In a "post-scarcity" world, what new economic models are needed for everyone to thrive? What values do we want to live by? Where will meaning and purpose be found? Even, how will "the human condition" itself change?

The answers to these questions clearly cannot and should not be left to technologists alone. It requires every part of society to come together to define this new chapter.

There is both immense excitement and immense uncertainty surrounding AI—both are justified.

But the future is not yet written. We must seize this precious window before AGI arrives to shape this technology into a force for the benefit of all humanity. What we do together now will determine how the next phase of civilization unfolds. By safely shepherding AGI into the world, we can step into a new golden age of scientific discovery and progress, and usher in a bright future of unprecedented human flourishing.

References:

https://x.com/demishassabis/status/2076957440109625718?s=20

This article is from the WeChat public account "New Zhiyuan," author: David Solomon