An AI Walks Into a Bar, Eventually
Mobility data can teach AI how places work over time, grounding language models in urban life—though true spatial understanding still requires embodiment.
Multimodal
12posts
The Machine Does Not Need the Jack
What if brain-computer interfaces need less bandwidth, not more? Conduit bets that faint neural hints plus powerful AI may be enough to turn thought into intent.
Beyond Fine-Tuning: What Apple’s Multimodal Sensor Fusion Study Reveals About LLMs and User Privacy
Apple's sensor-fusion research hints at a privacy-sensitive future where models learn from multimodal context without simply grabbing more cloud data.
Elon Musk's Vision: Turning Tesla's Idle Fleet into a Global AI Inference Powerhouse
Musk's idea of using idle Teslas for inference turns a car fleet into a provocative vision of distributed AI infrastructure.
LLM-Guided Image Editing: Embracing Mistakes for Smarter Photo Edits
Apple's image-editing research suggests smarter creative tools may learn from failed edits instead of hiding them.
Her Revisited: How Close Are We to Samantha?
A decade after Her, the post asks how close today's AI companions really are to Samantha, technically and emotionally.
AI Companions in the Classroom: Parallels Between Gibson's Vision and the Educational AI Revolution
AI classroom companions echo William Gibson's fictional guides, raising questions about education, intimacy, and dependence.
Neural Texture Compression: Revolutionizing Game Graphics for Gamers and Developers
Neural texture compression promises richer game graphics with lower memory costs, changing the pipeline for artists and developers.
The Future of AI: How Self-Adapting Language Models Are Redefining Learning
SEAL points toward language models that rewrite their own training material, hinting at AI systems that learn after deployment.
The Night Before Training: A Machine Learning Christmas Tale
A machine-learning Christmas poem turns training runs, GPUs, and convergence into a festive technical fable.
The Top 10 Unsolved Challenges in AI: A 2024 Retrospective
A year-end inventory of ten unresolved AI problems that still define the frontier despite rapid progress.
Multimodality in Large Language Models: A Key to Versatile and Specialized Task Performance
Multimodal LLMs are explained as a key step toward systems that can reason across text, images, and other signals.