One Useful Thing
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1 month ago
Author Ethan Mollick announces a new book called Co-Existence, written partly with AI assistance, about working with AI systems that are sometimes better and sometimes worse than humans, following his earlier bestseller Co-Intelligence. Recent developments show AI coding agents leading to 17 times more code written and Anthropic reporting that AI now writes 80% of its code with each developer shipping 8x more output. The shift from human-centered co-intelligence with chatbots to autonomous AI agents fundamentally changes how humans will interact with AI across many fields beyond just software development.
Deep Learning Weekly
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1 month ago
Anthropic released Claude Opus 4.8 with improved coding and agentic performance, OpenAI expanded Codex with role-specific plugins for non-developers, and MiniMax launched M3 with frontier coding, multimodality, and 1M-token context. Claude Opus 4.8 maintains the same pricing as 4.7 while adding benchmark gains and reducing code flaws. These releases change the landscape by making advanced AI capabilities more accessible across different roles and increasing open-weight model competitiveness through larger context windows and broader functionality.
Ben's Bites
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1 month ago
A newsletter discusses progress on building an agents manual and reflects on how creating tools enables further tool-building, followed by a roundup of recent AI releases including new open models, agent products, and agent-focused tooling across multiple domains.
Hugging Face Blog
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1 month ago
Hugging Face redesigned its hf command-line interface to work efficiently with coding agents like Claude Code and Codex, which now drive a significant portion of Hub traffic. Testing showed that agents using the hf CLI consumed 1.3 to 1.8 times fewer tokens than those using curl or the Python SDK directly on complex multi-step tasks, with the CLI achieving 93-94% success rates versus 84-92% without it. The optimized CLI auto-detects agent usage, outputs dense TSV format instead of human-readable tables, and provides chainable next-step hints to reduce the number of commands agents need to execute.
