Shrinking the frontier: model size at constant capability
Much of the conversation around AI progress focuses on the top of the leaderboard — which model is best today. […]
Research
Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
RAM AI is pleased to share a new research paper by Tian Guo, Senior Quant, and Emmanuel Hauptmann, CIO &
Kimi K2 Thinking has arrived, another DeepSeek moment?
Moonshot AI, a Chinese AI Lab backed by Ali Baba and Tencent, has just released a breakthrough open-source model: Kimi
ARC-AGI-2: The Next Challenge for AI Reasoning
What is ARC-AGI? Imagine giving a computer a puzzle that any 8-year-old could solve, but watching it struggle despite having
When AI’s interest conflicts with ours
When AI’s interest conflicts with ours Building on our previous discussions of robot constitutions and the International AI Safety Report,
Real-Time Climate Controversy Detection
We are excited to announce the publication of our new research paper written in the context of our Innosuisse project
Improving LLMs with Multi-Agent Verification
Large Language Models (LLMs) can be improved by using more time and compute before coming up with a better answer
Fine-tuning Large Language Models for Stock Return Prediction Using Newsflow
Return forecasting plays a crucial role in identifying stocks with profit potential, making it a valuable tool for constructing investment
The key to Intelligence: “Wait…”
s1: Simple test-time scaling What better test of the adage ‘Think twice before speaking’? By instructing LLMs to pause and
Reasoning with long Chain-of-Thoughts
We are still in many ways trying to understand the way our own brains work. With the advancement of AI,