Had a great time at PyCon & PyData DE. Highly recommend it. Great open-source, community-focused conference with lots of builders in the Python AI, LLM and agent space. Taking a short family break, my first "vacation" in years (hopefully, I won't miss the DeepSeek V4 drop )
LLMS
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Smaller AI Models Heat Up Mobile Phone Deployment Timeline
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The models are getting smaller. Great for OpenClaws and Hermes. Gotta heat them up! Yesterday someone told me "phones are three to five years away." Oh, really?
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Claude Model Quality Degradation Pattern Before Major Releases
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It's been a pretty consistent pattern that temporary @AnthropicAI model quality degradation precedes a major Claude model release. I originally noticed this with the Opus 4.6 and Sonnet 4.6 releases, and then in the past week with Mythos Preview and Opus 4.7 it happened again.
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Three-layer AI filtering transforms industrial alert management
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Three-layer filtering turns 100,000 daily alerts into 35-40 actions. Anomaly detection identifies physics-based deviations. LLM-enabled AI refines to production-critical actions. Expert validation ensures recommendations are executable.
— Lucian Fogoros (@fogoros) 16 avril 2026
Sponsored by Infinit Uptime. #Infinite_iiot pic.twitter.com/zrZS9G1UCeThree-layer filtering turns 100,000 daily alerts into 35-40 actions. Anomaly detection identifies physics-based deviations. LLM-enabled AI refines to production-critical actions. Expert validation ensures recommendations are executable.
Sponsored by Infinit Uptime. #Infinite_iiot -
Opus 4.7 Claude Code Latest Update Performance
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For those not seeing the increase, make sure you're using Opus 4.7 with the latest Claude Code
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21GB AI Model Runs on 32GB Hardware Machine
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128GB M5, but this 21GB model should run OK on a 32GB machine
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Configure Opus 4.7 Effort Level for Adaptive Thinking
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5/ Configure your effort level
— Boris Cherny (@bcherny) 16 avril 2026
Opus 4.7 uses adaptive thinking instead of thinking budgets. To tune the model to think more/less, we recommend tuning effort.
Use lower effort for faster responses and lower token usage. Use higher effort for the most intelligence and capability.… pic.twitter.com/h2gY3yQEeK5/ Configure your effort level Opus 4.7 uses adaptive thinking instead of thinking budgets. To tune the model to think more/less, we recommend tuning effort. Use lower effort for faster responses and lower token usage. Use higher effort for the most intelligence and capability.
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Claude Opus 4.7 Enhancement Enables Longer Agentic AI Workflows
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Happy coding! Opus 4.7 is a significant step up. To get the most out of it, take the time to adjust your workflow to take advantage of Claude running for longer & being more agentic. It feels like a nice improvement with old workflows, and a significant leap once you take the
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Maximizing Productivity with Opus 4.7: Practical Tips
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Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive. Sharing a few tips to get more out of 4.7
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Opus 4.7 Auto Mode Enables Autonomous Complex Task Execution
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1/ Auto mode = no more permission prompts Opus 4.7 loves doing complex, long-running tasks like deep research, refactoring code, building complex features, iterating until it hits a performance benchmark. In the past, you either had to babysit the model while it did these sorts