GPT-4 Voice for business negotiations: https://t.co/59m9lzriNB
— Greg Brockman (@gdb) 15 octobre 2023
GPT-4 Voice for business negotiations:
AGENTS
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GPT-4 Voice Transforms Business Negotiations
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FSD predicts actions over frames for world model development
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Looks like end to end FSD likely models future actions rather than future frames. And by focusing on predicting something less noise and more signal, it builds a good world model for a physical world generally intelligent agent.
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AGI Token: Agents, Nodes, and Value Generation
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$AGI by AGI.eth The #AGIToken : 1). The #AGI Agents could generate most of the light cone of all future value. 2). The operation of an #AGINode NFT could yield $AGI (utility token / active income exclusively). 3). $AGI for products / services generated by the #AGIAgents.
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Unveiling the Economy of AGI: Agents, Nodes, Tokens
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Of Agents, Nodes, and Tokens "The Unveiling of the Economy of AGI " By http://
QUEBEC.AI : http://
quebecartificialintelligence.com/agi #AGI #AGIFirst #AGIAgents #AGINodes #QuebecAI -
AGI Trading Agents: Sovereign Turing Test and Asset Management
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THE SOVEREIGN TURING TEST AND THE DAWN OF AGI TRADING AGENTS IN ASSET MANAGEMENT In the grand tapestry of human innovation, few moments punctuate our collective journey as the dawning of new epochs—moments where the fusion of disparate elements heralds a shift so profound, it
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Trustee Execution: LLM vs Bash Scripts in Trust Law
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And whether that program is an LLM fine tuned on your wishes or a 100 line bash script is irrelevant from the purposes of trust law. The trustee, a person or company, is diligently executing upon your (human) wishes.
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Hackathon Results: Insights and Future Platform Improvements Announced
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We really appreciate everyone's participation, and were inspired by the ideas we saw among the bots we could not give prizes to. We also learned a lot that we will incorporate into improving the platform going forward. Stay connected for updates on future hackathons!
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Two Continua: Retrieval, Synthesis, and Program Execution
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"There is a continuum between reasoning and retrieval" is half-true. There are two continua: one between pure retrieval and novel program synthesis (with many intermediate points that consist of subroutine retrieval + partial synthesis), and one between exact program execution
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GPT-4 Self-Improving Code Through Recursive Scaffolding Programs
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The core idea begins with an initial seed 'improver' scaffolding program that utilizes the language model to improve a solution to some downstream task. They demonstrate that GPT-4 is capable of writing code that can call itself to improve itself. /15
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Stanford AI Agents Self-Reflect to Improve Adaptation
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Animals naturally excel at adapting to changing environments. How can AI successfully do the same? Stanford scholars designed a method that allows AI agents to “self-reflect” about their most interesting experiences, thereby improving performance.