6 results for "future of work"
After laying off 10,000 workers for AI, Meta installed tracking software on remaining employees’ work computers to log mouse movements, clicks, keystrokes, and screenshots, using the data to train their AI replacements.
One of the most egregious 'everything-will-be-OK' arguments that repeatedly gets trotted out about our future when AI & robotics can do most work, is that existing workers will be trained & redeployed…
Money Talks: AI Doesn’t Have to Steal Your Job
MIT professor Daron Acemoglu explains why we have to choose a pro-worker AI future.…
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
In recent years, the integration of multimodal machine learning in wellbeing assessment has offered transformative potential for monitoring mental health. However, with the rapid advancement of Vision…
LLM-Augmented Traffic Signal Control with LSTM-Based Traffic State Prediction and Safety-Constrained Decision Support
Traffic signal control is a critical task in intelligent transportation systems, yet conventional fixed-time and rule-based methods often struggle to adapt to dynamic traffic demand and provide limite…
PhysNote: Self-Knowledge Notes for Evolvable Physical Reasoning in Vision-Language Model
Vision-Language Models (VLMs) have demonstrated strong performance on textbook-style physics problems, yet they frequently fail when confronted with dynamic real-world scenarios that require temporal …
Decreased Intelligence Density in DeepSeek V4 Pro
In the V3.2 paper, they mentioned: Second, token efficiency remains a challenge; DeepSeek-V3.2 typically requires longer generation trajectories (i.e., more tokens) to match the output quality of mode…