an agent in every cup
collecting bits & bobs about building alliances with other intelligences
an agent in every cup
Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications – Yohei Nakajima
Yohei Nakajimayoheinakajima.com
What is Model Context Protocol (MCP)? How it simplifies AI integrations compared to APIs | AI Agents That Work
Norah Sakalnorahsakal.com
Mirror, mirror… what we often misinterpret when we talk about large language models.
Source: Betley, Tan, Warncke et al, “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs”: emergent-misalignment.com
#ai #llm #gpt #claude #artificialintelligence... See more
tiktok.com
This paper examines the impending economic transformation from a regime primarily reliant on human labor and capital to one dominated by artificial general intelligence (AGI)-driven productivity. Utilizing an analytic framework based on production functions, it introduces a "power shift" index that delineates the conditions under which AGI may... See more
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“Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Angela D. R. Smithdl.acm.org
