AIME26
PulseAugur coverage of AIME26 — every cluster mentioning AIME26 across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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PrismML's Bonsai 2 27B achieves near-lossless compression for large AI models
PrismML has released Bonsai 2 27B, a highly compressed version of Alibaba's Qwen3.8-27B model. This new model uses ternary weights, achieving 98.2% of the original model's benchmark performance while reducing its size f…
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Qwen3.8-27B model achieves near-BF16 performance with aggressive NVFP4 quantization
A new fully quantized version of the Qwen3.8-27B model, named Qwen3.8-27B-QUASAR-NVFP4, has been released. This model utilizes a novel quantization-aware distillation (QAD) algorithm called QUASAR, achieving an aggressi…
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New LOCKS method drastically cuts LLM long-context decoding latency
Researchers have developed a new method called LOCKS (Page-Local Compact Key Summaries) to improve the efficiency of long-context decoding in large language models. This technique addresses the bottleneck caused by the …
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PrismML releases Bonsai 27B, enabling Qwen3.6-27B on laptops and phones
PrismML has released Bonsai 27B, a highly compressed version of Qwen3.6-27B, available in 1-bit and ternary variants. These models are designed to run on consumer hardware like laptops and phones, with the 1-bit version…
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New research explores weight-space geometry of AI reasoning distillation methods
A new research paper analyzes the geometric properties of weight updates across various offline reinforcement learning methods used for distilling reasoning capabilities into smaller AI models. The study trained six dif…
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VibeThinker-3B: Small AI Model Achieves Big Reasoning Wins
A new 3-billion parameter AI model named VibeThinker-3B has demonstrated advanced reasoning capabilities, outperforming larger, established models in challenging mathematical and coding benchmarks. Specifically, VibeThi…
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New 3B model VibeThinker matches frontier math & coding performance
Researchers have developed VibeThinker-3B, a compact 3-billion parameter model that achieves performance comparable to much larger models in mathematics and coding tasks. This model, built upon Qwen2.5-Coder-3B and util…