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Oct 18, 2026

Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

ML applications
Oct 17, 2026

StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context

ML applications
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DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API

ML applications
Oct 17, 2026

Perplexity Open-Sources SPACE, a Firecracker MicroVM Sandbox for AI Agents

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ML applications
5 Min Read

Google Open-Sources Harness2, a Recursive Agent Harnessing Framework

By Editorial Team
October 18, 2026
Read Article
ML applications
4 Min Read

StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context

By Editorial Team
October 17, 2026
Read Article
ML applications
5 Min Read

DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API

By Editorial Team
October 17, 2026
Read Article
ML applications
5 Min Read

Perplexity Open-Sources SPACE, a Firecracker MicroVM Sandbox for AI Agents

By Editorial Team
October 17, 2026
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ML applications
4 Min Read

Liquid AI Releases d1-ultra: A Multimodal Decision Model That Scores 65 on the AA Decision Index

By Editorial Team
October 16, 2026
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Meta Releases Muse Spark Open: 816B Open-Weight MoE With 1M Context

By Editorial Team
October 16, 2026
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Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents

By Editorial Team
October 14, 2026
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8 Min Read

9 Best AI Gateways in 2026: Bifrost, Portkey, LiteLLM, Kong and 5 More Ranked

By Editorial Team
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ML applications
7 Min Read

How to Use Meta’s Rebalancer for Task Placement & Optimization

By Editorial Team
October 14, 2026
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Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB

By Editorial Team
October 13, 2026
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Recent Posts

  • Google Open-Sources Harness2, a Recursive Agent Harnessing Framework
  • StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context
  • DeepSeek Just Released V4.1-Flash-1017, Scores 77.0 on DeepSWE, Opens Search API
  • Perplexity Open-Sources SPACE, a Firecracker MicroVM Sandbox for AI Agents
  • Dimensionality Reduction in Machine Learning: Techniques & Applications

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