Operator — research preview of an agent that can use its own browser to perform tasks for you. 2025 is the year of agents.
AGI
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OpenAI Launches First Agent Live Stream Demo
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doing an openai livestream right now, first agent launch!
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Abraham Project: Early Technological Components for Artificial Being
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In the early years of Abraham, the project functioned as a kind of intermittent study of the technological components that could help create such a being. I wrote about the concept extensively and ran a workshop series on it from 2019-20, including a 6-week class I recorded at
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AI Models Learning from Experience: Emerging Breakthrough
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AI models that learn from experience? Could be an unlock in the coming year. https://t.co/p53Mkizrxd
— Paul Roetzer (@paulroetzer) 23 janvier 2025AI models that learn from experience? Could be an unlock in the coming year.
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AI Development: People, Power, and Politics in Real Life
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As predicted from the early days, this is all about people, power, and politics. Would make an amazing tv show, but it’s happening IRL.
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Thinking Models Predict Future Outcomes With Inference Accuracy
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As it's a thinking model you can see why it concludes certain things (e.g. that I would go to industry vs academia), and the inferences are spot on. But then it actually verifies what happened as indeed, it "knows" the future.
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Kieran builds Cora live development demonstration
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watch Kieran build Cora…live! https://t.co/3RzH31roXg
— Dan Shipper 📧 (@danshipper) 22 janvier 2025watch Kieran build Cora…live!
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Uncensored American AI Platform Alternative Needed
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a truly uncensored american equivalent would be ideal
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Workflows versus Agents: Understanding AI Collaboration and Decision-Making
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Think of workflows as task-doers—great for answering questions about a database, for example. With Agents, we aim to create collaborators who can think (plan and iterate with themselves) and make decisions, as in this great illustration by Anthropic:
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Real AI Agents Beyond Predefined Workflows and Hard-Coded Solutions
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These systems aren’t independent or intelligent; they are predefined processes and hard-coded solutions called “workflows”, as seen below. Real agents, like Anthropic describes in their awesome recent blog, dynamically control their own tasks, reason, reflect, and adapt without
