4.7 thinks more, so tokens run a bit higher than 4.6. We launched xhigh, the new default effort level for a finer dial on how hard it thinks vs. how much it spends. Let us know what you think!
LLMS
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Opus 4.7 Released: Enhanced Task Handling and Reduced Work Fragmentation
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Opus 4.7 is out! Live on our API, Claude Code, Cowork, and Claude chat. Thing I'm noticing internally: people are re-scoping what they hand to the model. Work that got chunked into small pieces for 4.6 because it was too ambiguous or too long is now going in as one task.
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Claude Opus 4.7 Now Available in Cursor with 50% Discount
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Claude Opus 4.7 is now available in Cursor. We've found it to be impressively autonomous and more creative in its reasoning. We're launching it with 50% off for a limited time. Enjoy!
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Opus 4.7 Benchmarks Show Solid Improvements Over Previous Version
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Opus 4.7 Benchmarks out! Very solid upgrade to Opus 4.6! Compared to Opus 4.6: -SWE Bench Pro +11%
-SWE Bench Verified +7%
-Terminal Bench 2.0 +4% The benchmarks are significantly lower than for Mythos, but that was to be expected. h/t for finding @synthwavedd -
Spring AI SDK for Amazon Bedrock AgentCore Launch
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Spring AI SDK for Amazon Bedrock AgentCore! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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LLM Catastrophic Forgetting in Reinforcement Learning Fine-Tuning
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Is your LLM truly ready for reinforcement learning, or is it forgetting its roots? Xinran Li and team from HKUST, Alibaba, and Xiamen University discovered that standard supervised fine-tuning (SFT) often causes LLMs to 'forget' foundational knowledge, hindering subsequent
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Alibaba Qwen3.6-35B-A3B Sparse MoE Model Released
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Alibaba released Qwen3.6-35B-A3B today. Big jump compared to Qwen 3.5-35B model. It's a sparse MoE, 35B total params, only 3B active. Natively multimodal, thinking and non-thinking modes. Hardfacts:
SWE-bench Verified: 73.4, near dense Qwen3.5-27B (75.0), way ahead of -
MiniMax adds a new managed agent by Hermes
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MiniMax added a new always-on managed agent, powered by Hermes, to its MiniMax Agent platform.
— 🚨 AI News | TestingCatalog (@testingcatalog) 16 avril 2026
Now users can operate 2 managed agents, each powered by a different project.
Imagine these 2 combined 👀
Openmes or Herclaw? https://t.co/gKWg1jIpfK pic.twitter.com/t1rzrv6zdhMiniMax added a new always-on managed agent, powered by Hermes, to its MiniMax Agent platform. Now users can operate 2 managed agents, each powered by a different project. Imagine these 2 combined Openmes or Herclaw?
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Context Engineering: Why Quality Data Beats Volume for LLMs
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Most teams think “more data = smarter AI.” I make the opposite case: context beats volume. When LLMs are grounded in your company’s own signals—not just the internet—they deliver accurate, explainable decisions at scale. A thread on Context Engineering and why it changes
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Gemma 4 Colab: Reinforcement Learning Sudoku Game Guide
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Gemma 4 Colab: https://
colab.research.google.com/github/unsloth
ai/notebooks/blob/main/nb/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.ipynb
… RL Guide: