Mustafa Suleyman argues that artificial models should not be treated as if they possess feelings, preferences, rights, or any entitlement to human welfare. He emphasizes that consciousness underpins our ethical, legal, and political frameworks, and extending such rights to AI would lack evidence and complicate containment and alignment efforts.
The article "How to Fine-Tune an LLM: An End-to-End Guide" offers a practical, hands‑on walkthrough for fine‑tuning large language models in real‑world scenarios. It covers the entire process from data preparation to deployment, providing readers with actionable steps to adapt LLMs to specific tasks. The guide is aimed at practitioners looking to implement fine‑tuning in a structured, end‑to‑end manner.
By Sam Black
How a single evaluation choice inflated my results by 25 points, and what rebuilding honestly taught me about ML systems people might depend on The post My Fall-Detection Model Scored 94%, and It Was Lying to Me appeared first on Towards Data Science .
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How do you make decisions when you can't trust anyone in the room? The post Water Cooler Small Talk, Ep.
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The barriers to building have collapsed. That shifts the bottleneck to ownership, validation, taste, and deciding what should actually exist The post Code Is Cheap.
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Enterprise Document Intelligence [Vol. 1 #7C] - One LLM call ranks the candidates with reasons.
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