In the coming years, we stand on the precipice of a monumental transformation brought about by AI. The emergence of OpenAI’s o3 model heralds the swift evolution of AI, suggesting that mathematicians may have a mere 700 days left at the pinnacle of their field. The landscape of software engineering is poised for a drastic shift, with roles like front-end engineers potentially becoming obsolete within three years. The impact of AI will also be felt in the physical industries, though the bottleneck lies in hardware advancements.
The AI race resembles a “new Cold War,” yet behind the scenes, there’s a clandestine exchange of ideas. The development of AI brings with it concerns of misuse and potential societal upheaval. Nonetheless, we look forward with anticipation to a future where AI could usher in science fiction-like advancements, such as groundbreaking scientific discoveries and space exploration.
As we stand at the dawn of AGI, each of us has the power to influence the trajectory of the future. It is a time where the meaningful endeavor is to contribute to saving the world.
—
**In the Wake of Revolution**
The next few years promise to be a historic juncture, not just for humanity but for the entire galaxy. In the realm of AI, where laboratories are tight-lipped and media coverage is superficial, we find ourselves in a world where the extraordinary is fast becoming the ordinary.
**Model Breakthroughs and Industry Transformations**
The advent of OpenAI’s o3 model is a testament to the lightning pace of AI’s progress. In the short term, we can expect models with uneven capabilities—near通用 intelligence in mathematics and programming, yet perhaps lackluster in the creation of literary works. Over time, as new domains are incorporated into training, these gaps are likely to close.
**Tectonic Shifts in Research Fields**
Mathematicians, operating in the realm of symbols, are facing a formidable competitor in large language models. My prognosis for mathematicians is a timeline of 700 days—marking the end of humanity’s reign as the known universe’s mathematical champion.
**Software Industry Revolution and Reshaping**
Increased efficiency among software engineers could mean fewer are needed per company, yet globally, the demand may rise. Certain roles, like front-end engineers, might vanish within three years.
**Physical Industries and Compute Revolution**
AI will also affect physical labor, albeit at a slower pace. The o-series models offer limited assistance to robotics; the true constraint lies in hardware improvements.
**The State and Future of the AI Race**
The AI competition is akin to a “new Cold War,” yet competitors secretly engage in dialogue. Model domain “moats” are unlikely to last more than a year.
**Efficiency Revolution and Scientific Breakthroughs**
Compute and code production efficiency are emerging as new growth drivers. Scientists will feel the might of AGI, with fields like theoretical physics, chemistry, and biology potentially being conquered by AI.
**Chain Reactions of Technological Innovation**
As AI begins to generate new scientific theories, the bottleneck of progress will shift to real-world testing and experimentation.
**The Shadow Side of AI Development**
The risk of human misuse of AI surpasses the risk of AI running amok. AI could lead to social unrest or even catastrophic disasters.
**Anticipation and Expectation**
In the next decade, we may witness science fiction turn into reality with groundbreaking physics discoveries and Martian bases built by robots.
**The Eve of AGI**
We are living in the eve of AGI. Each of us has the power to shape the future, and the most meaningful endeavor is to contribute to saving the world.
