Hazy shows an MLP can be initialized with knowledge and queried by a transformer
andrew_n_carr · x · 2026-07-23
A post highlights a Hazy research result suggesting that an MLP can be initialized with knowledge already inside it, without any training, and that a transformer can then query and use that knowledge properly.
The implication is that knowledge can be embedded into the network at initialization time rather than learned only through gradient descent. The poster frames it as an intriguing step toward continual learning.
Related event: HazyResearch Proposes Training-Free Method to Write Facts into LLMs(5 posts)→
More from Research
- Causal-only attention for non-generative tasks is wasteful, argues HF engineer — antoine_chaffin · 2026-09-11
- Catholic University of Chile researcher: scaling AI feedback is key to sustainable medical education — julianvarascom · 2026-09-11
- Nature paper images cellular activity across all organs, revealing body-wide circuits — arjunrajlab · 2026-09-11
- SignNet 1M Dataset Released for Sign Language Research — ducha_aiki · 2026-09-11
- ECCV26 Oral: Flow Matching Enables Single-Stage Multi-View Point Cloud Registration — ducha_aiki · 2026-09-11
- InFlux++ Method Released — ducha_aiki · 2026-09-11