8 results for "lib and learn"
Learning to Rotate: Temporal and Semantic Rotary Encoding for Sequential Modeling
Every Transformer architecture dedicates enormous capacity to learning rich representations in semantic embedding space -- yet the rotation manifold acted upon by Rotary Positional Embeddings (RoPE) h…
Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach
This paper investigates how similarity in the informational representation of market states among Artificial Intelligence (AI) trading agents can generate systemic instability in financial markets. We…
OpenGame: Open Agentic Coding for Games
Game development sits at the intersection of creative design and intricate software engineering, demanding the joint orchestration of game engines, real-time loops, and tightly coupled state across ma…
Tim Miller Steps Into Streamer Chaos
Tim Miller joins the Lib & Learn podcast to discuss the WHCD incident, the media spin that followed, and why both parties keep getting the moment wrong.…
Tuesday assorted links
1. AI as palm reader? 2. “why we need to train models to learn their own capabilities, and how this will help them bid for work!” 3. Labor markets effects of AI. 4. Is Bob Dylan a liberal? 5. Retireme…
AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting
Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependencies and dynamic periodic patterns. Recent advances in frequency-domain analysis offer a global per…
ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms
Argumentation is a core practice in STEM education, but its productivity depends on who participates and how they interact. Higher-achieving students often dominate the talk and decision-making, while…
Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket
With spotforecast2-safe we present an integrated Compliance-by-Design approach to Python-based point forecasting of time series in safety-critical environments. A review of the relevant open-source to…