10 ChatGPT-4o prompts that'll make you rich: (10/10 would bookmark this )
LLMS
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LLMs Exhibit Lifelike Properties: Emergence and Collective Intelligence
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Cool paper: LLMs and Artificial Life! “We examine the extent to which LLMs appear to exhibit properties such as emergence or collective intelligence, expanding beyond the original goal of generating text, redefining our perception of lifelike intelligence in artificial systems.”
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Clarifying AI Safety Concerns: Future Advanced AI Systems, Not Current LLMs
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Someone's been lying to you for their own convenience about what the anti-omnicide argument is! It's not that current LLMs at current intelligent levels are dangerous! We are worried about later improvements on AI which are much smarter than present AI!
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Google Pays Character AI Licensing Fee, Character Switches to Llama
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“Google has agreed to pay a licensing fee to chatbot maker @character_ai for its models” The same article: “Meanwhile, Character will switch to open-source models such as Meta Platforms’ Llama 3.1 to power its products, rather than its in-house models”
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AI Evolution: From Human Analysis to Machine Authorship
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2010s: Humans write papers about AI.
2020s: AIs write papers about humans. -
Mem0 Revolutionizes AI Memory Layer for LLMs with 20K Stars
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Mem0: The Game-Changer in AI Memory Layers! In just 30 days, Mem0 has skyrocketed to fame, earning 20,000 stars on GitHub ! Discover why this revolutionary memory layer for LLMs is capturing the attention of developers worldwide. Introducing Mem0:
Mem0 is a -
AgentGen: LLMs Revolutionizing AI Planning Tasks
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AgentGen: Revolutionizing Planning Tasks with LLMs AgentGen is pushing the boundaries of AI by leveraging large language models (LLMs) to synthesize diverse environments and planning tasks in an efficient and scalable manner. By utilizing a corpus from a wide range of
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Anthropic Developing New AI Conversation Summarization Feature
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Anthropic is working on Conversation Summaries Looks like we will get a new collapsable section on the home page along with a button to generate them. Potentially it can be a Team plan feature allowing team members to quickly catch up with what has been done by others
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LLMOps Micro-Summit: Building Efficient GenAI Stacks
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Want to build big with small models like #Apple Then don't miss our #LLMOps Micro-Summit in SF (and streaming online) on Aug. 22nd. Leading AI researchers, engineers and founders will share what it takes to build a modern #GenAI stack that is fast, #efficient and built on