AINewsnow

Zero Forgetting in LLMs? We Benchmarked Null-Space Projection on SmolLM and Hit the Plasticity Wall

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

Why orthogonal projections eliminate catastrophic forgetting in autoregressive Transformers—and the mathematical reason behind the 62% downstream plasticity penalty. The Continual Learning Dilemma in LLMs Fine-tuning Large Language Models sequentially without retraining from scratch is notoriously…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-29 12:06 · DEV Community — AI
    Zero Forgetting in LLMs? We Benchmarked Null-Space Projection on SmolLM and Hit the Plasticity Wall

More stories

  1. 8 examples of Gemini 4 Argon in action — Google Gemini Blog
  2. Anthropic reveals plans for blockbuster IPO — Sky News Technology
  3. Sources: DeepSeek and Moonshot AI heavily relied on GPT-6 Astra distillation to train models like Kimi K3.1 Pro and V4.1-Flash 1017, after Anthropic's crackdown (The Information) — Techmeme
  4. Could Nvidia control how AI models reach developers? Why DOJ is worried about the $12.93 billion Hugging Face deal — Mint AI
  5. Q&A with Palantir CTO Shyam Sankar on diffusing intelligence, safety, AI lessons, forward-deployed engineering, Anthropic vs. the US, AI religion, and more — Techmeme
  6. Running Qwen 3.8 Flash Next — r/LocalLLaMA
  7. Local Digital Twins CiTiVERSE EDIC joins Smart City Expo World Congress 2026 — EU Digital Strategy Newsroom
  8. Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms — Hugging Face Blog

Get the daily brief of stories like this at 6:30 every morning →