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@gneubig
Associate professor @LTIatCMU. Co-founder/chief scientist @OpenHandsDev. I mostly work on modeling language.
AI
The model supports image inputs, with fine-tuning and inference available at launch and downloadable weights planned for later.
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A user quotes a “neolab” friend saying it could resell compute even if it fails to train the best model.
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OpenHands points to lost context and rigid roles; Claude recommends testing which subagents belong in one loop.
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After user approval, 1Password says it autofills the credential on the destination site without handing it to the agent.
XAI
Its developer says Flint exceeds 125 tokens per second on an M4 Pro MacBook Pro at short contexts.
XAI
A user calculates the range assuming 97% cached input tokens and GPU rental costs of $3–$6 per hour.
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DeepSeek's README offers offline inference for DeepSeek-V4.1-Flash but lists additional systems needed for a complete service.
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A reviewer says Pangram marked only “Used LLMs to polish the writing” as not AI-generated.
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A post describes a benchmark testing nine frontier agents on 15 open scientific follow-up problems developed with domain scientists.
XAI
Mistral says their ambition is a single Large Physics Model trained on billions of simulated collisions.
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A post says NVIDIA, Hugging Face and OpenHands will attend, pitching the summit as a learning opportunity.
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A post credits the paper’s authors and an NSF ACCESS grant of compute resources for the recognition.
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One commenter sees OpenClaw as a possible precedent despite bugs; a reply says it didn't build a web service.
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National Compute says .edu, .mil and .gov email holders can sign in, while others can join a waitlist.
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One user doubts we’ve reached “Navier-Stokes-level coding” yet, while another thinks we already have.
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A poster says @Jeande_d is working to understand and improve reasoning and agentic models.
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Two posts describe separate work on language-model architecture and synthetic data generation.
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In two posts, a user highlights one person's work on model alignment and another's work optimizing multi-agent systems.
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The instructor says they'll be teaching the CMU AI Agents course instead and encourages attendees to meet their students.
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The presenter says they’re also on the academic and industry job markets and open to discussing training dynamics.
