Jakarta – On May 12, 2026, the Science X AI Summit 2026, hosted by the SAIR Foundation, was held in Silicon Valley. As one of the most academically influential and strategically important summits in the global AI sector, the event brought together leading scientists of Nobel Prize, Turing Award, and Fields Medal caliber, along with core AI leaders from major technology companies including Google, Microsoft, OpenAI, Anthropic, and NVIDIA.
Halim Mahesa Putra Ph.D. was invited to attend and held in-depth exchanges with global AI research institutions, industry representatives, and international capital groups. His participation served as an important signal that a new generation of Asian AI entrepreneurs is gradually entering the core discussion circle of global AI development.
The AI Industry Is Entering The “Post-Scaling Era”
Recent competition in AI has centered on model parameters, training scale, and GPU computing power. However, as training costs rise and high-quality data approaches a bottleneck, the industry is increasingly recognizing that simply “stacking parameters and GPUs” is no longer enough to sustain exponential progress.
Halim Mahesa Putra Ph.D. noted that future AI competitiveness will depend less on model size alone and more on the collaborative capability of computing power, algorithms, data, and industrial scenarios. Players that can truly bring AI into real industries and help solve practical problems will be better positioned in the next stage of AI competition.
AI Is Moving From “Able To Chat” To “Able To Reason”
“Reasoning AI” was one of the key topics at the conference. Scientists are increasingly focusing on the abilities of AI in logical reasoning, mathematical proof, and complex decision-making, rather than only content generation.
Fields Medalist Terence Tao discussed the direction of machine-verifiable mathematical proofs, while Leonardo de Moura, founder of the Lean theorem prover, emphasized that future AI infrastructure must be verifiable and reproducible to reduce hallucination problems.
Halim Mahesa Putra Ph.D. believes that future AI must go beyond answering questions. Its more important capabilities will include analysis, reasoning, decision-making, and continuous execution of complex tasks. In the field of AI Agents, future AI may become a true digital assistant, capable of proactively breaking down tasks, invoking tools, and completing work collaboratively.
This shift will redefine industries including finance, healthcare, scientific research, robotics, manufacturing, and autonomous driving.
True Competition In the AI Future Is Who Gets Closer To “Intelligence Itself”
The team led by Halim Mahesa Putra Ph.D. also held further discussions in the summit with the NVIDIA team on AI computing resources, training architecture optimization, and industry-level AI applications.
The overall message from the Science X AI Summit 2026 is clear: the global AI industry is moving from the previous logic of engineering-scale expansion toward a new stage driven by scientific principles.
As reflected in the summit, the true competition in future AI will no longer be simply about whose model is larger, but about who can better understand intelligence itself and bring AI more deeply into the real world.
