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.
GENERATIVE AI
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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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Google partners with Pentagon to deploy Gemini AI
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Google joins the Pentagon club. Three labs, three very different deals. The Information reports Google is negotiating a classified AI agreement with the Pentagon to deploy Gemini in secure environments. A full reversal of the 2018 Project Maven walkout. The three-lab picture:
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Monetizing AI Capabilities When Competition Intensifies
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If you can’t beat them, monetize what you got.
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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 -
Detecting ChatGPT: The ‘Quiet’ Word Pattern Problem
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The moment I see 'quiet' used unnecessarily – quiet confidence, quiet surrender, quiet this, quiet that – I know the text was written by ChatGPT… quietly.