SWE-Bench Multilingual
PulseAugur coverage of SWE-Bench Multilingual — every cluster mentioning SWE-Bench Multilingual across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Tencent releases Hy3, an open 295B MoE model with 256K context
Tencent has released Hy3, an open-source 295 billion parameter Mixture-of-Experts (MoE) model designed for complex reasoning, agentic workflows, and long-context tasks. The model activates only 21 billion parameters per…
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Dockerless verifies AI coding agent patches without running tests
Researchers have introduced Dockerless, a novel method for verifying code patches generated by AI coding agents without the need to execute repository-specific tests. This approach bypasses the costly and time-consuming…
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Poolside releases Laguna M.1, a 225B MoE model for agentic coding
Poolside has released Laguna M.1, a 225 billion parameter Mixture-of-Experts model optimized for agentic coding tasks. The model features a large sparse MoE architecture with 256 experts and global attention, enabling i…
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Fireworks AI enables training of trillion-parameter MoE models
Fireworks AI has developed a new training infrastructure that enables the fine-tuning of trillion-parameter Mixture-of-Experts (MoE) models, overcoming previous memory and orchestration bottlenecks. This platform was in…