Test-Time Training — 3 Technical Articles

Jan 31, 2026 · Artificial Intelligence

Can LLMs Learn While Being Tested? Inside the TTT-Discover Breakthrough

The article examines the Test‑Time Training to Discover (TTT‑Discover) approach, which applies reinforcement learning during inference to let large language models continuously improve on single test problems, and reports strong results across mathematics, GPU kernel optimization, algorithm design, and biology.

AI researchLLMTTT-Discover

0 likes · 9 min read

Can LLMs Learn While Being Tested? Inside the TTT-Discover Breakthrough

ShiZhen AI

Dec 5, 2025 · Artificial Intelligence

Can AI Achieve Human‑Like Long‑Term Memory? Inside Google’s Titans Architecture

Google’s newly unveiled Titans architecture tackles AI’s “forgetfulness” by embedding a Neural Long‑Term Memory (LMM) module that updates model weights during inference using a test‑time training approach and a MIRAS surprise metric, enabling over 2 million‑token context with linear O(N) computation and superior benchmark results versus GPT‑4 RAG.

AI ArchitectureGoogle TitansMIRAS

0 likes · 5 min read

Can AI Achieve Human‑Like Long‑Term Memory? Inside Google’s Titans Architecture

AI Frontier Lectures

Nov 22, 2025 · Artificial Intelligence

Can Vision Transformers Crack the ARC Puzzle? Introducing VARC

MIT researchers argue that the ARC benchmark is essentially a visual problem and present the Vision ARC (VARC) framework, which reformulates ARC as an image‑to‑image translation task using a Vision Transformer, achieving human‑level accuracy through a novel canvas representation and test‑time training.

ARCArtificial IntelligenceImage-to-Image Translation

0 likes · 9 min read

Can Vision Transformers Crack the ARC Puzzle? Introducing VARC