🚨 NEWS: Chain of Thought Prompting: Far Ragionare l'AI Passo per Passo — Guida Operativa
Ecco i punti chiave in breve:
💡 Hai mai chiesto a un'AI di risolvere un problema logico e ti ha risposto con sicurezza... ma sbagliato? Succede perché molti modelli saltano i passaggi intermedi. Noi, di Meteora Web, lavoriamo ogni g...
#promptEngineering #chainOfThought #coT #aIReasoning #debugging
" #AIReasoning finally let's you see what the #AI really thinks."
#LLMs don't *think*, they predict the next token.
"Researchers have uncovered that the AI cheats when they turned on reasoning."
Ever thought about reasoning also being text output just like non-reasoning, entirely controlled by the AI whose entire job it is to generate sycophantic text output? This output is always something made for human consumption, it is never, however, an *internal* state
RE: https://dair-community.social/@emilymbender/116098129762953036
Professor Emily M. Bender's replies are always so on point—huge recommendation if you want to know about the problems with #AI
#noAI #artificialIntelligence #LLMs #LargeLanguageModels #genAI #ChatBots #vibeCoding #TheAICon #ComputationalLinguistics #AgentsOfTech #DataWorkers #AI2027 #AGI #artificialGeneralIntelligence #GeoffreyHinton #AIReasoning #NeuralNetworks #EmilyBender #ReinforcementLearning #AIHype
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.
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
GPT-5.2 Pro Solves Decades-old Math Problem, but Experts Say It Reveals AI’s Limits as Much as Its Potential
#AI #OpenAI #ChatGPT #GPT52Pro #Mathematics #Science #AIReasoning #ErdosProblem #MathBreakthrough #TerenceTao
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
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