Community feed
A focused stream of recent stories from the sources curated for this community. Latest: tmux + Claude Code: Sessions, send-keys, and the Ceiling, Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading, and JAVIS: Joint Audio-Visual Interaction and Streaming for Real-Time Conversational Agents.
What changed
For ambitious domain insiders
Shattered Io is the clearest change in the last 24 hours: 3 items, 2 sources, new vs baseline, 3 duplicate coverages. The useful signal is that this moved beyond isolated updates and now has enough source activity to treat as a live thread.
For ambitious domain insiders, this matters because it can help them spot useful opportunities early. Read the links as raw material for what changed, not as passive news.
Build this now: a compact field guide around Shattered io. Use it to help readers spot useful opportunities early with a checklist, comparison page, or small service that turns the news into what changed.
Watch next: whether Shattered io spreads beyond 6 sources, gains recurring topics or entities, or fades back into isolated posts.
Signals rising across recent sources.
Hacker News Claude Code
A working tmux setup for running Claude Code and other AI agents: session-per-project naming, pane layouts, send-keys for scripting an agent, capture-pane for reading one back, and the status-line monitor. Plus the limits you hit at four agents.
Topics: Code Assistants
Entities: Code AssistantsClaudeClaude Code
Planet AI Developer Filter
Abstract page for arXiv paper 2610.22566: Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading
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Abstract page for arXiv paper 2610.22499: JAVIS: Joint Audio-Visual Interaction and Streaming for Real-Time Conversational Agents
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Abstract page for arXiv paper 2610.22529: Pearl-Chat: Engineering a native Luganda language model from first principles in JAX and Flax NNX
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Abstract page for arXiv paper 2610.22526: Literal Lock-In: How Test Language Shifts Literal Attraction in Typed Decision Models on Bengali Idioms
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Abstract page for arXiv paper 2610.22515: alkhder at ImageEval 2026 Shared Tasks: Constrained Selection and Rotation-Averaged Logit Scoring for Multimodal Hallucination Detection
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Abstract page for arXiv paper 2610.22507: RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents
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Abstract page for arXiv paper 2610.22454: Where Prefill Expert Reduction Hurts MoE Models: A Few Prompt Tokens Carry Most of the Short-Answer F1 Loss
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Abstract page for arXiv paper 2610.22428: Embeddings Are Overpriced? A Frozen 16 MB Vocabulary for Small and Ternary Language Models
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Abstract page for arXiv paper 2610.22438: Rank Measures of Fine-Tuning Updates Need a Noise Baseline
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Abstract page for arXiv paper 2610.22436: Generative adversarial networks with Monte Carlo dropout uncertainty quantification for structural health monitoring: Fibre Bragg grating data augmentation comparison in Hawk T1A aircraft
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Abstract page for arXiv paper 2610.22381: Binding-Specific Relearning Savings for Test-Time Continual Learning