Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT WSJ
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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
Quoting Chengpeng Mou
From anonymized U.S. ChatGPT data, we are seeing: ~2M weekly messages on health insurance ~600K weekly messages [classified as healthcare] from people living in “hospital deserts” (30 min drive to nearest hospital) 7 out of 10 msgs happen outside clinic hours Chengpeng Mou , Head of Business Finance, OpenAI Tags: ai-ethics , generative-ai , openai , chatgpt , ai , llms
Eight years of wanting, three months of building with AI
Eight years of wanting, three months of building with AI Lalit Maganti provides one of my favorite pieces of long-form writing on agentic engineering I've seen in ages. They spent eight years thinking about and then three months building syntaqlite , which they describe as " high-fidelity devtools that SQLite deserves ". The goal was to provide fast, robust and comprehensive linting and verifying tools for SQLite, suitable for use in language servers and other development tools - a parser, formatter, and verifier for SQLite queries. I've found myself wanting this kind of thing in the past myself, hence my (far less production-ready) sqlite-ast project from a few months ago. Lalit had been procrastinating on this project for years, because of the inevitable tedium of needing to work through
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Architecture and Orchestration of Memory Systems in AI Agents
The evolution of artificial intelligence from stateless models to autonomous, goal-driven agents depends heavily on advanced memory architectures. While Large Language Models (LLMs) possess strong reasoning abilities and vast embedded knowledge, they lack persistent memory, making them unable to retain past interactions or adapt over time. This limitation leads to repeated context injection, increasing token [ ] The post Architecture and Orchestration of Memory Systems in AI Agents appeared first on Analytics Vidhya .
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