Future of Artificial Intelligence: Ethics, AGI, and Society
- Jul 29
- 2 min read
The AI Podcast Series by Loran Jacobs, Chapter 5
On the Noosfera AI Podcast, Loran Jacobs discussed the future of artificial intelligence, exploring general AI, ethical boundaries, and long-term societal transformation.
Autonomous Systems and the Future of Artificial Intelligence
Transitioning from specialized machine learning models to general artificial intelligence requires machines capable of true autonomy. Loran Jacobs referenced Alan Turing's classic thought experiment to illustrate how autonomous decision-making differentiates narrow algorithms from genuine artificial general intelligence.
"Super-powerful general artificial intelligence is an artificial intelligence capable of absolute autonomy," explains Loran.
While digital assistants today streamline daily tasks, achieving complete agency represents a fundamental milestone in technological evolution.
Scientific Convergence Across a Two-Millennium Horizon
Realizing the full potential of advanced automation requires unifying computer science, theoretical physics, quantum electrodynamics, and materials science. Loran Jacobs outlined a long-term vision where multi-century scientific synthesis creates a post-scarcity economy.
"When all technologies begin to achieve ten times more than today in physics, mathematics, and programming, orders will be produced without money," notes the DeepTech pioneer.
Dual-Use Technologies and Society’s Flaws
Major technological leaps—whether nuclear energy, space exploration, or artificial intelligence—are developed within the framework of imperfect human institutions. Loran Jacobs pointed out that breakthrough scientific systems are frequently repurposed for commercial domination or military advantage rather than collective enrichment.
"All these technologies were created and developed in society with all their imperfections, and are used for commercial and military purposes," emphasizes the founder and CEO of iPavlov.
High-Speed Engineering and Systemic Risk
As software systems expand in speed and operational power, their potential for widespread harm increases exponentially. Loran Jacobs drew an allegory to Enzo Ferrari’s high-speed racing development, where engineering triumphs simultaneously increased operational danger for everyone involved.
"When you ask what kind of world full of super-technologies this will be, the first word that comes to my mind is dangerous," emphasizes the leading artificial intelligence authority, stressing that modern developers must evolve into morally conscious individuals.
Commercial Incentives and Algorithmic Impact
Commercial pressures often force software developers to prioritize monetization and engagement mechanics over societal well-being. Loran Jacobs highlighted how gamified algorithms in popular social applications affect younger demographics, stressing the gap between a developer's personal values and the external impact of their code.
"I, as a person, can be very conscious, but what I created is no longer me," explains Loran.
