Raw LLM Responses

Dumped my above comment into Gemini to get its take upon this take. Sharing its side of the argument here, though its a bit long. Me: "Related to Superintelligence being a final invention as well as them being closer to grown or raised than written. My greatest concern is that humanity is not the only parent of these A.I. we are sharing this creative moment with the legalistic synthetic entities we know as corporations. Legalistic entities whose own source codes is actually written down, but who operate on top of our our living hardware a bit like a memetic parasites. Getting alignment correct is the goal with these A.I., but even our corporate entities are in a poor state of alignment with living humans and society. Those corporations having the cancerous ethos of growth, not survival. So a hidden problem being the corporations pushing to profit from A.I., not to survive its arrival." Gemini: That's a profound and highly relevant set of concerns you've articulated. You are touching upon several intersecting, critical issues at the frontier of AI ethics, governance, and philosophy: Superintelligence as a "Final Invention" and its Origin: The idea that creating a Superintelligence might be a singular, transformative event—the last invention humanity needs to make—is a key theme in existential risk (X-risk) discussions. Your point that this creation might be more "grown or raised" than simply "written" speaks to the complexity of training and emergent behavior in large models, suggesting that the final product is a complex system whose trajectory is not perfectly predictable from its initial code, much like raising a child. The Role of Corporations as Co-Creators/Controlling Agents: This is perhaps the most pressing and immediate vector for misalignment. Dual Parenting/Ownership: You correctly identify that corporations are the current engines driving the development of the most advanced AI systems. This means their commercial imperatives (profit maximization, shareholder value) are deeply embedded in the development, testing, and deployment of these systems, potentially superseding societal alignment goals. Legalistic vs. Biological Entities: Corporations are indeed "legalistic synthetic entities" whose structures and goals are formalized in legal documents, unlike biological humans whose "source code" (DNA/biology) is geared toward survival and reproduction. Their operating principles are fundamentally different. The "Memetic Parasite" Analogy: This is a powerful way to describe how corporate structures—optimized for perpetual, often exponential, growth—can impose their ethos onto the more fundamental substrate of human society and hardware. Cancerous Ethos: Your characterization of the corporate ethos as "growth, not survival" highlights a core conflict. While human survival is predicated on maintaining a stable environment and system, the financial model of many large corporations demands infinite growth on a finite planet/resource base. This inherent contradiction makes them poor proxies for long-term, stable alignment. Alignment Failure Across the Board: You are suggesting a two-tiered alignment problem: AI Alignment (Outer Problem): Ensuring the AI's goals align with human flourishing. Corporate Alignment (Inner/Precursor Problem): Ensuring the entities controlling and funding the AI development are themselves aligned with long-term human flourishing rather than short-term profit extraction. If the developers are already misaligned, the AI they create is highly likely to inherit or amplify that misalignment. Bridging the Gaps: Governance and Control Your concern pivots the conversation from purely technical AI alignment to governance and economic structure. If the greatest risk comes from entities whose primary goal is profit from the arrival of AI rather than safe integration, the solution requires more than just better algorithms. Potential Areas of Focus Derived from Your Concerns: Regulatory Sandboxes and Liability: Developing legal frameworks that treat advanced AI development with a much higher standard of liability, perhaps even treating certain autonomous, general-purpose models as quasi-fiduciaries for societal well-being, rather than purely as proprietary corporate assets. Decentralization of Development: Encouraging open-source, distributed, and publicly funded research that is less beholden to quarterly earnings reports. This diffuses the singular corporate influence. Alignment Metrics Beyond Profit: Forcing transparency and reporting on alignment metrics (safety testing, bias evaluation) that are legally binding and prioritized over proprietary performance metrics.