Does Scaling Law Still Hold? Analyzing OpenAI’s 12‑Day Mini Releases and the Future of GPT‑5

The article examines OpenAI’s 12‑day mini‑series, the emergence of o1 and Reinforcement Fine‑Tuning, and uses Epoch AI’s 2024 report to evaluate four critical constraints—power, chip capacity, data scarcity, and latency—that determine whether AI scaling laws can sustain the compute needed for a GPT‑5‑scale model by 2030.

AI scalingLarge Language ModelsLatency

0 likes · 11 min read

Does Scaling Law Still Hold? Analyzing OpenAI’s 12‑Day Mini Releases and the Future of GPT‑5

Model Perspective

Aug 25, 2024 · Fundamentals

How to Model Without Data: Leveraging Mechanism Analysis in Complex Systems

This article explains how mechanism analysis—building models from first‑principles and system physics—enables effective mathematical modeling across fields such as epidemiology, air‑pollution, traffic flow, and finance even when reliable data are scarce or unavailable.

Gaussian plumeSIR modeldata scarcity

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How to Model Without Data: Leveraging Mechanism Analysis in Complex Systems

Python Crawling & Data Mining

Mar 11, 2023 · Artificial Intelligence

How to Overcome Data Scarcity in Machine Learning: Strategies and Techniques

Facing data scarcity in machine learning, this article explores why large datasets are essential, categorizes missing data and label gaps, and presents practical solutions such as dataset reuse, augmentation, multimodal learning, curriculum learning, semi‑supervised methods, active learning, transfer and meta‑learning to mitigate the problem.

Meta Learningdata augmentationdata scarcity

0 likes · 19 min read

How to Overcome Data Scarcity in Machine Learning: Strategies and Techniques