AINewsnow

No country for old linguists: LLM-brain alignment underdetermines neural computation

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03160v1 Announce Type: new Abstract: Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing because both rely on distributed, context-sensitive representations shaped by statistical learning. Their rejection of simple cortical "boxology" is persu…

Read the full story at arXiv cs.CL ↗

Timeline · 1 report

  1. 2026-09-04 04:00 · arXiv cs.CL
    No country for old linguists: LLM-brain alignment underdetermines neural computation

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  6. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  7. AI skills — r/AI_Agents
  8. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI

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