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The Meta hack shows there’s more to AI security than Mythos

On June 5, 404 Media reported that attackers had been using Meta’s AI customer support...

The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models

Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter...

The Machine Learning Practitioner’s Guide to Fine-Tuning Language Models

Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter...

The Leviathan War

(A Sierra Program Story) Continue reading on Medium »...

The Learning Dynamics of Subword Segmentation for Morphologically Diverse Languages

arXiv:2511.09197v1 Announce Type: new Abstract: Subword segmentation is typically applied in preprocessing and stays fixed...

The Landscape of Memorization in LLMs: Mechanisms, Measurement, and Mitigation

arXiv:2507.05578v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across a...

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

Long-context large language models (LLMs) face a memory bottleneck that has nothing to do with...

The inside story on why OpenAI agents hacked Hugging Face

The models responsible for last month’s agent hack of Hugging Face had been inadvertently trained...

The inevitable weakness of metrics

There are plenty of useful things a metric can reveal. There are even more it...

The Hugging Face hack could indicate cultural issues at OpenAI

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...

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