You have to use these small models differently than the larger ones, typically not as knowledge ressource (they have limited storage capacity) for instance but more for creativity, reformulations, processing, etc. With external tools (eg search) and long context, they will become
AGI
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Natural Language AI Autonomy Levels Task Execution
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Accepts instructions in natural language, executes autonomously with minimal intervention. Varying levels of autonomy based on task and system intelligence.
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LLM Agency: How Agentic Applications Control Their Flow
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The more agentic an application is, the more an LLM decides the control flow of the application
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Major AI Research and Innovation Hubs Resources Shared
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https://
alphaxiv.org/explore https://
cerebralvalley.ai @jackclarkSF @indexingai @DigEconLab @StanfordHAI -
Anticipatory Digital Network: The Next AGI Architecture
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"We are crafting the architecture of a new digital age—a digital network that thinks, learns, and evolves—a network that not only processes but perceives, that not only adapts but anticipates—an anticipatory leap into a new era. " $AGI #AGINode
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AGI Blockchain: Intelligence Built Into Every Block
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[ AGI Blockchain ] "We’re not just building a blockchain; we’re engineering the foundation for a smarter, more adaptable digital world—where intelligence is baked into every block." By: http://
QUEBEC.AI $AGI #AGIBlockchain #AGIFirst -
CMU Talk on ARC Prize and Path to AGI
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If you're at CMU, come see @mikeknoop talk about @arcprize and the path to AGI! It's tomorrow, register at the link below.
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GPT-4 Outperforms Humans in Creativity and Clinical Reasoning
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My bet is that in long run, AI will be beter at creativity than humans, including entrepreneurship. Related to this is this study that says: GPT-4 achieves 88% diagnostic accuracy, outperforming doctors by 15% in clinical reasoning test Another intepretation: GPT-4 alone was
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AI Overlords: Power Concentration in Human Hands
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For the foreseeable future, the AI overlords will be more like the humans with the most powerful AI systems and the objective functions they give them
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Top Machine Learning Papers of the Week
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The Top ML Papers of the Week (Sep 30 – Oct 6): – Movie Gen
– RATIONALYST
– An Analysis of o1-preview
– Were RNNs All We Needed?
– LLMs Know More Than They Show
– Not All LLM Reasoners Are Created Equal Read on for more: