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Anthropic's Claude coding broken by prompt, DeepSeek-V4 runs on Apple Silicon

Anthropic experienced a significant coding performance degradation in its Claude model after a system instruction was updated to limit responses to 25 words. This issue, which took four days to resolve, was noticed by users within hours of its implementation. Separately, a developer has successfully ported the DeepSeek-V4 large language model to Apple's MLX framework, enabling it to run on Apple Silicon Macs with initial functional inference results. AI

Summary written by gemini-2.5-flash-lite from 3 sources. How we write summaries →

IMPACT Enables local inference of advanced LLMs on consumer Apple hardware, potentially increasing accessibility and privacy for AI tasks.

RANK_REASON A developer ported an existing LLM to a new framework for local inference on consumer hardware.

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COVERAGE [3]

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    Anthropic's One-Sentence Prompt Broke Claude's Coding for Days Anthropic added 'keep responses under 25 words' to Claude's system instructions, causing a sudden

    Anthropic's One-Sentence Prompt Broke Claude's Coding for Days Anthropic added 'keep responses under 25 words' to Claude's system instructions, causing a sudden collapse in coding performance that users detected within hours and took 4 days to fix. https:// gentic.news/article/an…

  3. Mastodon — mastodon.social TIER_1 · genticnews ·

    DeepSeek-V4 Ported to MLX for Apple Silicon Inference A developer has ported DeepSeek-V4 to Apple's MLX framework, allowing the large language model to run on A

    DeepSeek-V4 Ported to MLX for Apple Silicon Inference A developer has ported DeepSeek-V4 to Apple's MLX framework, allowing the large language model to run on Apple Silicon Macs. Early results show functional inference with room for optimization. https:// gentic.news/article/deep…