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@ookwrd
The Meta × Moltbook news points to something deeper. AI agents are beginning to move beyond isolated task execution and into shared digital environments of their own. That makes one old lesson newly important: computing’s original sin was the stored-program architecture, which made code and data nei
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The Age of Information Overload
Scroll, Snack, Repeat We live in a time of information abundance. It has become as plentiful—and as carefully engineered to exploit our every weakness—as modern processed food. The more content is optimized to manipulate our attention, the more our cognitive patterns are hijacked. Digital platforms are not only distracting; they reshape what we pay attention to and how we think. The same…
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AI-to-AI Communication: Unpacking Gibberlink, Secrecy, and New AI Communication Channels
AI communication channels may represent the next major technological leap, driving more efficient interaction between agents—artificial or not. While recent projects like Gibberlink demonstrate AI optimizing exchanges beyond the constraints of human language, fears of hidden AI languages must be correctly debunked. The real challenge is balancing efficiency with transparency, ensuring AI serves…
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Life After Programming: Embracing Human-Machine Symbiosis in the Age of AI
As AI continues to evolve, conversations have started questioning the future of traditional programming and computer science education. The rise of prompt engineering—the art of crafting inputs to lead AI models to generating specific outputs—has led many to believe that mastering this new skill could replace the need for deep computational expertise. While this perspective does capture a real…
The Innovation Algorithm: DeepSeek, Japan, and How Constraints Drive AI Breakthroughs
In technology, less can truly be more. Scarcity doesn’t strangle progress—it refines it. DeepSeek, cut off from high-end hardware, and Japan, facing a demographic reckoning, are proving that limitations don’t merely shape innovation—they accelerate it. From evolutionary biology to AI, history shows that the most profound breakthroughs don’t originate from excess, but from the pressure to rethink,…
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Limited AGI: The Hidden Constraints of Intelligence at Scale
In his recent blog post The Intelligence Age, a few days ago, Sam Altman has expressed confidence in the power of neural networks and their potential to achieve artificial general intelligence (AGI—some strong form of AI reaching a median human level of intelligence and efficiency for general tasks) given enough compute. He sums it up in 15 words: “deep learning worked, got predictably better…
Artificial Life
At a point in time when technology and biology appear to converge, can we decode the mysteries of life grounded in either realm, through the lens of science and philosophy? Bridging between natural and artificial seems to challenge conventional wisdom and propel us into a wild landscape of new possibilities. Yet, the inquiry into the nature of life, regardless of its medium and the specific laws…
What does extremely high bandwidth communication look like for arbitrarily/diversely intelligent agents?
Redefining our relationship with AI: shifting from alignment to companionship, for a sustainable AI industry
New Era of AI: Redefining Our Relationship to Technology from Alignment to Companionship Approaches, for a Sustainable Technological Society.
As the AI landscape keeps updating itself at the greatest speed, so does the relationship between humans and technology. By paying attention to the autopoietic nature of this relationship, we may work towards building ethical AI systems that respect both the unique particularities of being a human, and the unique emerging qualities that our technology displays as it evolves. I’d like to share…
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Intelligence needing conflicts to learn