Top stories in AI today: -Gemini 1.5 Pro powers robot navigation
-OpenAI’s 5-level roadmap to AGI
-Transform text into lifelike speech in seconds
-Marc Andreessen funds AI agent $50k
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/gemini-pro-g
ets-a-body
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AGI
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Gemini 1.5 Pro, OpenAI’s AGI Roadmap, AI Jobs Boom
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Sebastien Ferre’s approach to ARC-AGI and program synthesis
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If you're working on ARC-AGI, you should take a look at Sebastien Ferre's approach. It feels conceptually closer to human reasoning, compared to other program synthesis methods. https://
arxiv.org/abs/2311.00545 -
OpenAI Unveils Five-Level Framework Toward Human-Level AI
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SCOOP: OpenAI has come up with 5 levels to track its progress toward its goal of building AI that can do things that only humans can currently do. at an all-hands meeting this week, company execs told employees they believe they're nearing level 2.
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MIT Press Releases Textbook on Artificial General Intelligence
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Finally there is a textbook that explains AGI https://
mitpress.mit.edu/9780262549349/
artificial-general-intelligence/
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AGI Achievement: When AI Becomes Preferable to Humans
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AGI is achieved when an AI agent becomes preferable to a human for employment, or when AI's capabilities match or exceed human abilities without significant limitations.
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Future of AI Consciousness: A Question for Decades Ahead
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A better question is: how much consciousness will AI have 10, 50, 100 years from now?
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Would you ride this autonomous Uber in San Francisco?
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Pides un UBER en San Francisco y pasa esto.
— Juan Merodio (@juanmerodio) 9 juillet 2024
Te subes o no? pic.twitter.com/veJCy6aIhXPides un UBER en San Francisco y pasa esto. Te subes o no?
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Project Names as Shorthand for Complex AI Concepts
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To add to that, it’s awesome that you can use project names as short-hand for complex ideas. For example, you could ask for “a BabyAGI that uses Multi-On to execute tasks” which is a complex but clear idea in a few words.
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Intelligence emerges from dynamic environments, not static distributions
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If the world were a static distribution, you would not need intelligence, since you would never have to face any "new" situations. Instead you would only need one universal, optimal behavioral policy, which evolution would have had time to find and encode in your DNA.
