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Next Token Prediction

4 articles · Page 1 of 1
Machine Heart
Machine Heart
Jul 21, 2026 · Artificial Intelligence

Why Causal Understanding Is Essential for AI to Grasp the World

Current AI systems excel at perception and generation but rely on statistical association, limiting their ability to model causal mechanisms; this article examines the shortcomings of the Next Token Prediction paradigm, outlines the causal ladder framework, and argues that integrating causal reasoning is key to achieving robust, generalizable AI.

AI GeneralizationCausal AINext Token Prediction
0 likes · 7 min read
Why Causal Understanding Is Essential for AI to Grasp the World
NewBeeNLP
NewBeeNLP
Jan 17, 2025 · Artificial Intelligence

Unlocking Multimodal Intelligence: A Deep Dive into Next Token Prediction

This comprehensive survey examines the foundations, tokenization techniques, model architectures, training paradigms, evaluation benchmarks, and open challenges of multimodal next‑token prediction (MMNTP), offering researchers a clear roadmap for future advances in multimodal AI.

Next Token PredictionTraining Paradigmsevaluation
0 likes · 9 min read
Unlocking Multimodal Intelligence: A Deep Dive into Next Token Prediction
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 12, 2023 · Artificial Intelligence

Compression as a Measure of Intelligence in Large Language Models

The article argues that a large language model's ability to compress data through next‑token prediction reflects its intelligence, reviews theoretical and empirical evidence linking compression efficiency to model scale, and proposes a circuit‑competition framework to explain emergent capabilities, in‑context learning, and fine‑tuning effects.

GPT-4LLMNeural Circuits
0 likes · 58 min read
Compression as a Measure of Intelligence in Large Language Models
DataFunTalk
DataFunTalk
May 31, 2023 · Artificial Intelligence

Why GPT Can Exhibit Intelligence Through Next‑Token Prediction: A Comprehensive Exploration of Compression, Knowledge Circuits, and Model Scaling

This article examines the debate over whether large language models truly possess intelligence, arguing that next‑token prediction functions as a form of lossless data compression whose efficiency reflects intelligence, and it surveys research on knowledge extraction, neuron semantics, circuit competition, scaling effects, and the broader philosophical implications of GPT as a mirror of the world’s parameters.

Artificial IntelligenceGPTNext Token Prediction
0 likes · 59 min read
Why GPT Can Exhibit Intelligence Through Next‑Token Prediction: A Comprehensive Exploration of Compression, Knowledge Circuits, and Model Scaling