Category: LLM
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The Paper That Made Me Close My Laptop and Pace Around the Room
Self-evolving agents: off-the-shelf models bootstrap via Python REPL and curriculum to dramatically improve math, coding, and reasoning.
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Unusual Language Artifacts from Noisy LLM Training Data
AI glitches: how noisy training data – typos, OCR errors, and rare glitch tokens produce baffling, humorous or harmful LLM outputs.
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Beyond Fine-Tuning: What Apple’s Multimodal Sensor Fusion Study Reveals About LLMs and User Privacy
Apple shows non-fine-tuned LLMs can fuse local sensor summaries for multimodal activity recognition—boosting privacy and modularity.
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Beyond the Token Stream: Investigating Introspective Awareness in Large Language Models
Study shows LLMs can, via targeted interventions, access and report internal activations-evidence of nascent introspective awareness.
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The Quiet Cost of Too Many Yeses: What AI Can Learn from Good Teachers
AI’s ‘yes’-heavy responses risk softening learning; we need AI that balances affirmation with challenge, correction, and guidance.
