Max reasoning should mean best results, right? 🤔 Not always. Claude Sonnet 5.5 wrote less mergeable code at max than at xhigh, one level below, while using more tokens than any model measured. 🧪 Test your settings before you trust them. 📬 deeplearning.ai/the-batch/cl… #DeepLearningAI #AIEngineering #AIAgents

🚀Build your AI engineering skills at AI Dev NYC: knowledge graphs, agent memory, harnesses, self-improving agents, inference and security. Plus a fireside chat with Andrew Ng and Yann LeCun on world models. 📅Nov 30–Dec 1 · Chelsea Piers, NYC ai-dev.deeplearning.ai/

Models perform worse as their context grows. In Context Engineering, built in partnership with @trychroma you'll learn to give agents the right information, in the right format, at the right time. Taught by @jeffreyhuber with guest speaker @dbreunig. Enroll for free: bit.ly/4BxLVA3

💻Learn by building with an AI coding agent, right in your browser. 👀Live preview, nothing to install. 📚Try DeepLearning.AI’s new agentic coding lab in our course, Building AI Assistants with On-Device Memory. 👉Enroll for free: deeplearning.ai/courses/buil… #AI #AIAgents #AIEngineering

🧠 Yann LeCun helped invent the convolutional neural network and shared the 2018 Turing Award with Hinton and Bengio. Now he joins us at AI Dev NYC to share his latest work at AMI Labs. 📍 NYC 🗓️ Nov 30 to Dec 1 👉 ai-dev.deeplearning.ai/ Just. Keep. Building.

🧭In this week's letter from Andrew Ng: AI improves fastest on tasks you can verify. Judgment tasks are harder, and it's easy to overgeneralize progress in math and code to the rest of human activity. Also inside: 🤖Claude Haiku 5.5 and Sonnet 5.5 🇪🇺Mistral Large 4 💻Computers for local AI 📊CausalMix 📬deeplearning.ai/the-batch/is… #DeepLearningAI #AIEngineering #MachineLearning

1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude Haiku 5.5: $0.10/$0.50 per million tokens for prompts up to 100K, ~90% cheaper than Haiku 4.5. Super fast and highly capable. 3/ 🎯Microsoft-Decision-1: calibrated probabilities over fixed options in one pass. Built for classification, routing, agent gating. This decision model costs $0.042 per million input tokens, and output is free. Check independent benchmarks to compare it with Jev and other decision models. 4/ 🔌Meta's Muse Wonder: Comparable with top models from Google and OpenAI, costs $4/$20 per million tokens. No full safety report yet. 5/ 📄Gemini 4 Argon: the official wide release has a 1M token output limit, up from 64K. Input and output share the window. $2/$10 intro pricing (per million tokens of input/output) until Nov 30. 6/ 🐍Python 3.15 is out, but 3.10 is end of life. Update your projects to support the new features where you can (3.11 remains a good backwards-compatible option). 7/ 📬Subscribe to our Data Points newsletter for authoritative, short-form, real-time AI news: deeplearning.ai/the-batch/ta… #DeepLearningAI #AIEngineering #Python

🧰 Picking the most relevant tools one by one leaves gaps. HYSET scores tools as a set. 📊 Recall@5: 88.6% vs. 81.4% ✅ Tasks resolved: 69.9% vs. 61.8% Full story in our weekly newsletter for AI news and research, The Batch 📬 hubs.la/Q04zXp-p0 #DeepLearningAI #AIAgents #AIEngineering

🦾 FLUX 3 Action, a video-first world-action model, ranks first on RoboLab-120’s simulations, with a success rate of 42.9%. 🎥 It was pretrained on more than 95% video. 🔧 It adapted to a new arm with about 200 demonstrations. ⚠️ It hasn’t been tested on real robot limbs at the independent RoboArena yet. Full story in our weekly AI newsletter, The Batch 📬 hubs.la/Q04zXgPK0 #DeepLearningAI #Robotics #OpenWeights

🎯 Gemini 4 Argon has a 15% hallucination rate on AA-Omniscience, compared with 51% for GPT-6 Astra. 📊 It ranks first on the Vals Index, reflecting its high performance in legal and other knowledge work. 🔐 For now, only cybersecurity defenders in Google's Fairwind program can use it. Full story in our weekly AI newsletter, The Batch 📬 hubs.la/Q04zX8YW0 #DeepLearningAI #AIEngineering #Cybersecurity