
Anthropic has made a strategic decision to remove 80% of the internal prompts from its Claude Code. This change is based on the observation that excessive scaffolding can confuse advanced AI models. By simplifying the input, Anthropic aims to enhance the model's ability to process and understand tasks autonomously, leading to more efficient performance.
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© Lev SelectorReports indicate OpenAI is targeting a valuation of $1.5 trillion in its next funding round, reflecting massive investor confidence.
© Lev SelectorThis release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
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Anthropic Engineers Optimize Claude Code Prompting
4 developments
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OpenAI’s GPT-6 Astra and Anthropic’s Claude Opus 5 have independently broken long-standing Enigma ciphers that human cryptanalysts failed to solve for nearly two decades. This isn't just pattern matching; the models performed archival research, built simulators, and leveraged contextual clues to recover plaintext from messages dating back to 2005. The achievement demonstrates a leap in autonomous reasoning and tool use, effectively turning LLMs into professional researchers capable of multi-step problem solving that previously required weeks of human effort. It marks a significant shift in what we expect from frontier models beyond simple text generation.