Uncovering Brain Intelligence Through the Integration of Neuroscience and AI - med.keio.ac.jp
Uncovering Brain Intelligence Through the Integration of Neuroscience and AI med.keio.ac.jp
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My forays into cyborgism: theory, pt. 1
In this post, I share the thinking that lies behind the Exobrain system I have built for myself. In another post, I'll describe the actual system. I think the standard way of relating to LLM/AIs is as an external tool (or "digital mind") that you use and/or collaborate with. Instead of you doing the coding, you ask the LLM to do it for you. Instead of doing the research, you ask it to. That's great, and there is utility in those use cases. Now, while I hardly engage in the delusion that humans can have some kind of long-term symbiotic integration with AIs that prevents them from replacing us [1] , in the short term, I think humans can automate, outsource, and augment our thinking with LLM/AIs. We already augment our cognition with technologies such as writing and mundane software. Organizi
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Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
The AI landscape is experiencing unprecedented growth and transformation. This post delves into the key developments shaping the future of artificial intelligence, from massive industry investments to critical safety considerations and integration into core development processes. Key Areas Explored: Record-Breaking Investments: Major tech firms are committing billions to AI infrastructure, signaling a significant acceleration in the field. AI in Software Development: We examine how companies are leveraging AI for code generation and the implications for engineering workflows. Safety and Responsibility: The increasing focus on ethical AI development and protecting vulnerable users, particularly minors. Market Dynamics: How AI is influencing stock performance, cloud computing strategies, and
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