Simon Willison (@simonw)
LLM Python 라이브러리와 CLI 도구의 대규모 하위호환 리팩터링 버전 0.32a0가 공개됐다. 이번 변경은 추론 모델과 같은 최신 프런티어 AI 기능을 더 잘 지원하도록 개선한 점이 핵심이다.
I released LLM 0.32a0 this morning, a major backwards-compatible refactor of my LLM Python library and CLI tool for working with language models - the new changes should help LLM work better with reasoning models and other new frontier capabilities https://t.co/iLhtLrCQCL
Arcee AI released Trinity-Large-Thinking, a 400B parameter open-source reasoning model that scores within 2 points of Claude Opus on PinchBench while costing 96% less at $0.90 per million tokens. Uses sparse architecture activating only 13B parameters per token. Trained for $20M by 30-person team. #OpenSource #AI #ReasoningModels
Arcee AI's Trinity-Large-Thinking scores 91.9 on PinchBench, within two points of Claude Opus 4.6, at 96% lower cost. The 400B-parameter open-source reasoning model activates only 13B parameters per token, trained for $20 million by a 30-person team on 2,048 NVIDIA GPUs.
fly51fly (@fly51fly)
논문 'Consistency of Large Reasoning Models Under Multi-Turn Attacks' 발표(Y Li, R Krishnan, R Padman, CMU, 2026). 다중 턴 공격 상황에서 대형 추론 모델의 일관성(consistency) 문제를 분석·보고하는 연구 논문으로, 모델의 공격 내성 및 안정성 관련 인사이트를 제공합니다(원문 링크 포함).
xAI’s co‑founder exits keep coming, while Lambda outlines a 2025 shift toward bigger context windows, multimodal reasoning models and open‑source inference for AI production. What could this mean for the future of machine learning? Read on for the full story. #AIProduction #ReasoningModels #MultimodalAI #OpenSourceInference
🔗 https://aidailypost.com/news/xai-co-founder-departures-persist-lambda-outlines-2025-ai-production
AI that thinks instead of guessing?
Reasoning models use techniques like chain of thought and tree of thought to decompose problems, explore alternatives, and choose better answers, often at the cost of more compute and latency.
A practical explainer:
🔗 https://techglimmer.io/what-is-ai-thinking-reasoning-models/
#AI #ReasoningModels #ChainOfThought #TreeOfThought #GenAI #FediTech #MachineLearning
Manning Publications (@ManningBooks)
추론(reasoning) 모델의 중요성이 장기적으로 큰 변화를 가져온다는 내용입니다. Meta 등 기업들이 추론 모델을 밀고 있으며 VentureBeat가 MobileLLM-R1을 언급했고, @rasbt의 Build를 통해 추론 모델이 실제로 어떻게 구축되고 평가되는지 배울 수 있다는 점을 강조합니다.
AI moves fast, but some shifts matter long after the headlines pass. Reasoning models are one of 'em. As it grows, even companies like @Meta are pushing them, as @VentureBeat highlights with MobileLLM-R1. Want to learn how they're are actually built & evaluated? @rasbt's Build
OpenAI: GPT-5 Thinking Models Are The Most "Monitarable" Models To Date
#AI #OpenAI #AISafety #LLM #MachineLearning #GPT5 #DeepMind #AIResearch #ChainOfThought #Monitorability #AIAlignment #ReasoningModels
FINE-TUNING Qwen3 VỚI "THINKING MODE" KHÓ KHĂN TRONG LẬP LUẬN. Tài liệu hướng dẫn tạo tập dữ liệu "giải thích" (thinking) chưa rõ ràng khiến việc huấn luyện mô hình gặp trục trặc. Ai có kinh nghiệm hoặc tài liệu về kiến thức này chia sẻ giúp #AI #MachineLearning #LậpLý #MôHìnhQwen #ReasoningModels #KnowledgeInjection
*(Tóm tắt: Người dùng gặp khó khăn khi tinh chỉnh Qwen3 để bổ sung kiến thức Vật lý nhờ "thinking mode". Cố tạo dữ liệu giải thích bằng Qwen3 dẫn đến hiệu suất giảm. Cần chia sẻ
New AI reasoning models built as neural networks are showing striking convergence across diverse training sets. Researchers say this hints at emergent structure in how machines learn to reason, opening fresh avenues for open‑source computational tools. Dive into the findings and see why this could reshape our approach to artificial intelligence. #AI #NeuralNetworks #ReasoningModels #Convergence
🔗 https://aidailypost.com/news/new-ai-reasoning-models-built-neural-networks-show-striking
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Marcus Schuler
AI Daily Post
TechGlimmer
tech news ᳇ eicker.news
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Winbuzzer
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