In the news
Show HN: Needle2: 14MB agentic LLM for phones, wearables, smart home and robots
Hacker News · HenryNdubuaku · Published · 3 min read
In 30 seconds
- What happened
- Needle2, a 45-million-parameter language model compressed to 14MB, runs agentic tasks on phones, wearables, and IoT devices without cloud dependency.
- Why it matters
- Matters for engineers building products on budget hardware under $200 with no GPU, limited RAM, and offline requirements like smart rings or home devices.
- Watch out
- Needle2 trades general knowledge for tool-calling specificity and uses aggressive 2-bit quantization trained from scratch, making direct accuracy comparisons to full-precision models incomplete.
Listen to this summary
- agent
- agentic
- llm
The patterns behind this
- Budget-Guarded Autonomy
- Agentic Context Engineering (Evolving Playbook)
- World-Model Simulation Planning
Each one covers how the technique works, when it earns its cost, and where it breaks.
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