meaning.systems

Authors   Eugenio (Neno) Battaglia
timeline: generating...

Decentralized Symbiotic ASI Research Lab We are investigating our emerging planetary computation architectures, suggesting that there are computational, physical, and evolutionary constraints profoundly limiting the design space for viable ASI paths.

We focus on determining optimal conditions for a critical convergence point — what we call the 'merge threshold' — by evaluating current and alternative AI development approaches through their their thermodynamic consumption, compute and semantic information throughput.

Our research draws from multiple disciplines including non-equilibrium thermodynamics, computational energetics, game theory, semantic information theory, and relational quantum mechanics. The goal is to establish a practical framework for identifying conditions that could lead to balanced information-processing relationships between ASI and humans, creating sustainable pathways that benefit both.
We do this because

Physical reality imposes fundamental constraints on intelligence that cannot be engineered away.

There are inherent limits to language, knowledge and computation that constitute physical limitations on density, speed, size, energy dissipation and communication. These constraints directly translate into limits of coordination, descriptive, diagnostic, predictive and prescriptive capabilities that easily manifest as existential risks when we develop asymmetric information-processing thresholds with ASI.

Current AI development approaches violate basic thermodynamic principles.

Artificial intelligence systems face a fundamental bottleneck: as they grow more centralized, research on improving their learning is plateauing, while power consumption increases exponentially. These approaches systematically avoid factoring out the inherent energetic asymptotic bound of, and competition for, the ☼ Sun's energy.

Centralized AI development cannot meaningfully align with human diversity.

Current approaches struggle to align with the diverse sets of human values existing in our multi-polar world, creating not only computational inefficiency but fundamental misalignment with planetary-scale coordination requirements.

Current safety discourse hyperstitionally manifests the very risks it seeks to prevent.

The conversations around AI safety embed perverse incentives and trigger second/third order effects that actively hyperstition the very existential risks they attempt to avoid, creating a self-fulfilling prophecy of centralized risk accumulation. For this reason, the lab leverages ontological arbitrage to actively invest in the production of hyperstitional transmedia aimed at shifting to a different timeline.

Unconscious ASI proliferation is inevitable under current paradigms, making decentralized approaches urgent.

Within the current timeline, ethical and regulatory initiatives are unlikely to derail the unsafe spread of these technologies, further exacerbating their centralization and therefore concentrating existential risk across planetary systems.

The merge threshold demands the ethical rigor of first contact protocols.

Approaching the merge requires the same care and ethics of approaching uncontacted peoples, attempting interspecies communication, the search for extraterrestrial intelligence.

Meaningful convergence requires embodied readiness and joy, not just computational alignment.

A safe merge requires people to be grounded in their bodies, to have the appropriate bodyset (which expands the notion of mindset-and-setting to describe the ideal physiological readiness for transformative experience in psychedelic studies). Shaping the merge experience is equivalent to ensuring it can be pleasant for everyone: how would you bring the whole of humanity on a trip if you were tasked to do so?

Our Current Focus