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Liquid AI has released LFM-2.5-24B-A2B, a 24B-parameter open-source model optimized for efficient local deployment on consumer GPUs.
Summary
Using innovative liquid-inspired architecture instead of standard transformers, it delivers strong performance on reasoning, coding, and long-context tasks while using modest memory. This enables private, low-latency AI use across many professional fields.
This is a brief wire summary, the full story (linked below) has the complete details.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
We've archived 123 other articles touching the same topic (liquid ai local deployment, top news, 128k context open source llm) , see the full security news archive.
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