Microsoft study: https://
arxiv.org/abs/2507.07935 Original: https://
arxiv.org/abs/2303.10130
LLMS
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Microsoft Study on AI Models References Original Research
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China Dominates Top 10 Open-Source Models on HuggingFace
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China Dominates Top 10 Open-Source Models on HuggingFace. Not only is the West completely outclassed (Mistral, Llama), the Chinese models are also outstanding.
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New AI Model Available on Hugging Face Platform
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Try the model on our platform, deploy privately, or use it for research on @huggingface
. Find more details in our blog: -
Prompt Engineering is Dead, Specs Are Alive: Prompts Become Reusable, Trainable, Reliable
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10/ So yes.. prompt engineering is dead. But specs are very much alive. And when treated right, prompts become specs. They become:
• Reusable
• Trainable
• Reliable That’s where our prompts come in. -

Beyond Docs: Executable, Trainable, Modular, Composable AI Model Specs
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8/ It’s more than docs. The model spec is:
• Executable (via eval prompts)
• Trainable (via reinforcement)
• Modular (like code)
• Composable (like APIs) Specs aren’t static. They’re alive. -

Using spec to fix GPT-4o sycophancy bug as trust anchor
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7/ When GPT-4o showed excessive “sycophancy,” they used the spec to: • Identify it as a bug
• Roll back changes
• Clarify values
• Guide model updates The spec became a trust anchor. -

OpenAI’s Model Spec: A Plain English Markdown Document for Alignment
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6/ OpenAI's solution? The Model Spec. A markdown doc:
• Written in plain English
• Versioned
• Open to policy, legal, safety teams
• Used to align both humans and AI It’s now central to how they build. -

Deleting AI prompts is like deleting source code
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5/ Think about how we use AI today: Prompt → Model → Output We keep the code. But delete the prompt. That’s like deleting your source file and versioning the compiled binary. Insane, right?
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Prompt Engineering is dead, something more powerful is replacing it, revolutionizing AI.
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Prompt engineering is dead. But there's something far more powerful taking its place. And it's changing how we build, align, and scale AI.. forever. Follow the :
