Search:
Match:
3 results
research#llm📝 BlogAnalyzed: Jan 19, 2026 02:15

Sakana AI's Evolutionary Model Merge: Reshaping AI Development

Published:Jan 19, 2026 01:00
1 min read
Zenn ML

Analysis

This article dives into Sakana AI's revolutionary 'Evolutionary Model Merge' technique, promising a paradigm shift in how we build powerful AI models! It demonstrates how to replicate this innovative approach using Python, opening exciting possibilities for researchers and developers to explore cutting-edge AI capabilities with potentially more accessible resources.
Reference

“Existing models are combined to create the strongest model.”

PermalinkZenn ML
Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

He Co-Invented the Transformer. Now: Continuous Thought Machines - Llion Jones and Luke Darlow [Sakana AI]

Published:Nov 23, 2025 17:36
1 min read
ML Street Talk Pod

Analysis

This article discusses a provocative argument from Llion Jones, co-inventor of the Transformer architecture, and Luke Darlow of Sakana AI. They believe the Transformer, which underpins much of modern AI like ChatGPT, may be hindering the development of true intelligent reasoning. They introduce their research on Continuous Thought Machines (CTM), a biology-inspired model designed to fundamentally change how AI processes information. The article highlights the limitations of current AI through the 'spiral' analogy, illustrating how current models 'fake' understanding rather than truly comprehending concepts. The article also includes sponsor messages.
Reference

“If you ask a standard neural network to understand a spiral shape, it solves it by drawing tiny straight lines that just happen to look like a spiral. It "fakes" the shape without understanding the concept of spiraling.”

PermalinkML Street Talk Pod
Research#AI Development📝 BlogAnalyzed: Dec 29, 2025 18:32

Sakana AI - Building Nature-Inspired AI Systems

Published:Mar 1, 2025 18:40
1 min read
ML Street Talk Pod

Analysis

The article highlights Sakana AI's innovative approach to AI development, drawing inspiration from nature. It introduces key researchers: Chris Lu, focusing on meta-learning and multi-agent systems; Robert Tjarko Lange, specializing in evolutionary algorithms and large language models; and Cong Lu, with experience in open-endedness research. The focus on nature-inspired methods suggests a potential shift in AI design, moving beyond traditional approaches. The inclusion of the DiscoPOP paper, which uses language models to improve training algorithms, is particularly noteworthy. The article provides a glimpse into cutting-edge research at the intersection of evolutionary computation, foundation models, and open-ended AI.
Reference

“We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.”

PermalinkML Street Talk Pod