State-space model
AssessTechniques
A sequence modeling approach that reduces memory use and scales efficiently to long contexts.
Why it's here
Placed in Assess: 2 article(s) of evidence from 2 source(s), led by model releases, with 0 in the last 30 days. Confidence 45%.
Evidence (2)
- 4Hacker News·7/6/2026researchWhat Emily Bender means by “stochastic parrots”
This article explains Emily Bender’s criticism of large language models as “stochastic parrots,” a phrase describing systems that generate fluent text by pattern matching rather than understanding. It frames the term as a warning about overclaiming AI capabilities and mistaking statistical language generation for genuine comprehension.
- 7Hugging Face Blog·3/17/2026model_releaseHolotron-12B: High-Throughput Computer Use Agent
H Company released Holotron-12B, a multimodal computer-use model built for agentic workflows that must perceive, decide, and act in interactive environments. The model is based on NVIDIA Nemotron-Nano-2 VL and emphasizes high-throughput inference, long-context handling, and efficient VRAM use for production workloads.