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Memori is an open-source memory engine that gives AI language models human-like memory using standard SQL databases like PostgreSQL, MySQL, or SQLite.[1][2] With just one line of code, you can enable any LLM to remember conversations, learn from interactions, and maintain context across sessions.[1] The key benefits are significant cost savings of 80-90% compared to expensive vector databases, complete data ownership and transparency since memories are stored in SQL databases you control, and zero vendor lock-in allowing you to export and move your data anywhere.[1][3] Memori works with popular frameworks like OpenAI, Anthropic, and LangChain, making it easy to integrate into existing projects without complex setup.[1]
https://github.com/GibsonAI/Memori
🌍 The boundary where the Earth's solid land meets the sea—called the coastline—is constantly changing. Waves, tides, and storms reshape these edges every day, making coastlines dynamic and ever-shifting. ✨
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🌍 Satellite data show that global sea levels are now rising about 3.4 millimeters per year, speeding up since the 1990s and threatening low-lying coasts with accelerated erosion. ✨
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🌍 Melting permafrost in Arctic regions is releasing ancient greenhouse gases like methane, accelerating climate change and threatening traditional ways of life for local communities. ✨
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🌍 Desertification, the spread of deserts into once-fertile land, now threatens over a third of Earth’s land surface, endangering food security for millions worldwide. ✨
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New Book Explores Optimism in AI Future
Reid Hoffman, co-founder of LinkedIn, releases his book *Superagency: what could go right with AI future*. Unlike dystopian views, Hoffman emphasizes a proactive approach to building a positive future with AI. He discusses the evolution of technology's role in society, the importance of agency in the face of AI, and the need for updates in social contracts. The book reflects on history, addressing both fears and potential benefits AI can bring. Full details available here.
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Need of Organization 😂
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