Google DeepMind just rolled out Gemini 3.1 Pro – an upgraded Gemini 3 “Deep Think” model built for heavy reasoning and complex tasks. It promises sharper chain‑of‑thought, better multi‑step problem solving, and tighter integration with generative AI pipelines. Curious how this could reshape ML workflows? Dive into the details. #Gemini3Pro #DeepThink #AIReasoning #GenerativeAI

🔗 https://aidailypost.com/news/gemini-31-pro-released-upgraded-gemini-3-deep-think-complex-tasks

Google's Gemini 3 Deep Think reached 84.6% on ARC-AGI-2, a reasoning benchmark designed to resist memorization. That beats GPT-5.2 (52.9%) and Claude (68.8%) by significant margins. The catch: $13.62 per task suggests these advances may remain research tools rather than production systems for now.

#AIReasoning #Benchmarks #TestTimeCompute

https://www.implicator.ai/google-gemini-3-deep-think-hits-84-6-on-arc-agi-2-beating-gpt-5-and-claude-2/

Google Gemini 3 Deep Think Hits 84.6% on ARC-AGI-2, Beating GPT-5 and Claude

Google's Gemini 3 Deep Think scored 84.6% on ARC-AGI-2, beating GPT-5.2 and Claude. Access limited to Ultra subscribers and early API program.

Implicator.ai

New research shows that letting language models hold internal debates—checking each other’s claims and negotiating solutions—dramatically cuts errors on tough reasoning tasks. The multi‑agent approach boosts self‑consistency and semantic verification, pushing open‑source AI toward more reliable reasoning. Dive into the findings! #MultiAgentDebate #AIReasoning #SelfConsistency #SemanticVerification

🔗 https://aidailypost.com/news/ai-models-using-internal-debate-spot-errors-boost-accuracy-complex

Trích xuất cấu trúc vượt trội so với ngữ cảnh đầy đủ (F1: 0.83 vs 0.58) trong tác vụ suy luận đa bước. Entity Cards (17.5% token) giúp mô hình suy luận tốt hơn do loại nhiễu, tập trung vào thực thể và quan hệ. Token compression (LLMLingua, QUITO) thất bại do phá vỡ cấu trúc ngữ nghĩa. Mô hình nhỏ (Qwen3-1.7B) có thể tạo Entity Cards với F1 0.60. Cần thử fine-tuning và kiểm tra trên RAG.
#StructuredExtraction #EntityCards #AIReasoning #LLM #RAG #TríchXuấtCấuTrúc #SuyLuậnAI #MôHìnhNgônNgữ #RútGọ

Thử nghiệm 23 mô hình ngôn ngữ lớn (LLM) với câu đố Nonogram (câu đố logic dạng lưới). Kết quả: hiệu suất giảm mạnh khi kích thước tăng; một số LLM viết code để giải vét cạn, số khác lập luận từng bước như con người. GPT-4.5 dẫn đầu. Tổng chi phí: ~250 USD, ~17M tokens. Dữ liệu & mã nguồn mở. Link: nonobench.com, GitHub: no-bench.

#LLM #Nonogram #LogicPuzzle #AI #Reasoning #MôHìnhNgônNgữ #CâuĐốLogic #TríTuệNhânTạo #AIReasoning

https://www.reddit.com/r/LocalLLaMA/comments/1q4i19c/benchmarking

🚀 Polish geniuses have supposedly revolutionized AI reasoning, and yet their announcement reads like a cryptic radio station playlist. 🎧 Surely the world was waiting with bated breath for an algorithm to decode Chopin on frequency czstotliwoci! 🎶
https://www.polskieradio.pl/395/7784/artykul/3588855,polish-scientists-startup-pathway-announces-ai-reasoning-breakthrough #PolishAI #Revolution #AIReasoning #ChopinAlgorithm #TechNews #HackerNews #ngated
Polish scientists' startup Pathway announces AI reasoning breakthrough

Solving the "generalization over time" problem is among the "holy grails" of the AI world - a goal numerous top scientists around the world have unsuccessfully strived to reach for some time now. The new, groundbreaking AI architecture created by Poland's Pathway startup seems to have done just that - creating a digital structure similar to the neural network functioning in the brain, and allowing AI ​​to learn and reason like a human.

PolskieRadio.pl