#Sakana AI
13 related articles
·2 min
Sakana AI in Practice: Reshaping Banking Lending Operations with AI Agents — Technology and Strategy
Deep dive into how Sakana AI applies AI Agents to banking lending operations, covering end-to-end support from information gathering to approval document generation, plus technical challenges and human-AI collaboration design.
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·3 min
Sakana AI Enters Defense Intelligence: Partnering with Japanese Think Tank DEEP DIVE to Advance AI-Powered Intelligence Analysis
Sakana AI partners with Japanese think tank DEEP DIVE to apply AI to defense intelligence analysis, combining OSINT data with AI capabilities to overcome human analysis bottlenecks.
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·1 min
Swimlane: A Deep Dive into the Coding Agent Workflow CLI Tool Built on Sakana AI Fugu
An in-depth look at Swimlane, a TypeScript CLI tool designed for building coding agent workflows on Sakana AI Fugu, covering its architecture, harness framework, and orchestration capabilities.
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·2 min
sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
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·2 min
DiffusionBlocks: A New Method for Block-by-Block Neural Network Training That Reduces Memory by Several Times
DiffusionBlocks splits neural networks into independent blocks for sequential training, reducing memory from linear in network depth to proportional to a single block. Validated across ViT, DiT, autoregressive Transformers and more.
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·3 min
Sakana AI Releases Fugu Ultra: How Model Orchestration Achieves Frontier AI Performance
Sakana AI releases Fugu Ultra, achieving frontier AI performance through autonomous model orchestration. Deep dive into its technology, strategic implications, and impact on global AI competition.
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·3 min
AI Scientist: A Deep Dive into Sakana AI's Automated Research Framework
Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.
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·3 min
BioAgents: A Multi-Agent AI Framework for Autonomous Research in Biological Sciences
Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.
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·2 min
Sakana AI Establishes Recursive Self-Improvement Lab, Replacing Brute-Force Compute with Creativity to Pioneer a New AI Paradigm
Sakana AI launches its Recursive Self-Improvement Lab, focusing on using AI to redesign AI development. From LLM² to AI Scientist, this Tokyo company proposes a sample-efficient path to AI self-evolution without brute-force compute.
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Sakana AI Launches Marlin: An AI Agent…
·3 min
Sakana AI Launches Marlin: An AI Agent That Autonomously Completes Strategic Research in 8 Hours
Sakana AI launches Marlin, its first commercial product — an autonomous strategic research assistant that completes deep research in 8 hours, targeting finance, consulting, and think tanks.
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·2 min
Sakana AI × Sumitomo Mitsui: Multi-AI Agent Collaboration Auto-Generates Proposals, Boosting Efficiency 100x
Sakana AI and SMBC developed a multi-AI Agent proposal auto-generation app, reducing creation time from 1-2 weeks to hours. Deep dive into the multi-Agent architecture and its implications for financial AI.
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·3 min
Making LLMs Faster and Lighter: A Practical Approach to Reshaping Sparsity for GPUs
Deep dive into Sakana AI and NVIDIA's latest research using TwELL sparse packing format and custom CUDA kernels to convert LLM sparsity into real GPU speedups, achieving 20%+ faster inference/training and significantly lower memory usage.
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