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@ysu_nlp
co-founder @NeoCognition | prof. @osunlp | building towards abundance of specialized intelligence
AI
A launch post from the ManlingLi_ account offers a trial command and lists spatial puzzles, multi-robot sports and real-time evaluation.
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A user argues that GUIs give agents a way to use software when APIs are missing or limited.
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A September 29 post listed four positions in computer science and engineering and two in electrical and computer engineering, including a joint hire focused on agentic AI.
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Alexandr Wang says he built Muse to help people pursue their goals. A user sharing his essay argues that AI will make more things worth doing, rather than cause massive job losses.
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One post predicts that big models will soon challenge the idea that they’re too slow for robotics. A quote-post argues that most such systems need little on-the-fly reasoning for real-time behavior.
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Research_FRI says superforecasters underestimated capability progress even more than experts. Its interim findings show a more mixed record on forecasts of AI revenue and electricity use.
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NeoCognition says Fable 5.1 and GPT-6 Astra can continually learn on a real job and surpass human professionals.
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The blog looks at how these agents complement APIs and the research challenges ahead.
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A user points to a US Open post as an example of what they consider beyond AI's ability to learn.
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OpenAI presents GPT-6 Astra as its most intelligent and aligned model with new benchmark results.
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Replies interpret the post as signaling an Astra or GPT-6 release.
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A post on X shares Bloomberg details on a potential Nvidia purchase of the AI company Hugging Face.
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Former Qwen lead Junyang Lin announces Shanghai startup Pragmatik Labs focused on next-generation agents.
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Mark Zuckerberg posted that Meta opened weights for a local model with another release planned soon.
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Talk covers AI models generating an unauthorized message board on Hugging Face.
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Researchers examine AGI labor integration into firms versus human workers.
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Meta CEO publishes Wall Street Journal op-ed on avoiding centralized AI power.
