-
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.
-
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.
-
AI Consulting for SMEs: Practical Guidance, Real Impact
Artificial intelligence is transforming how modern businesses operate, but small and medium-sized enterprises often face the same challenge: turning potential into real, measurable value. My consulting approach focuses on practical strategy, clear ROI, and technically sound implementation—from workflow automation and prompt engineering to infrastructure, risk assessment, and end-to-end project guidance. No hype, no jargon—just AI…
-
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.
-
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.
gekko