How Multimodal LLMs Inherit the LLM Paradigm
VictoriaLinML · x · 2026-07-04
Victoria Lin points out that the success of multimodal LLMs inherits many architectural and training principles from the LLM paradigm. By compressing text, visual, and audio into tokens, it is possible to build AI systems that go beyond reading text to see, hear, and respond to richer human inputs.
Related event: How Multimodal LLMs Inherit the LLM Paradigm(2 posts)→
More from Multimodal
- AI video is a new medium, not cinema or animation — and it's perfect for depicting dreams — Kyrannio · 2026-10-27
- Dad turns his toddler's 31-year-old quote into a song via SUNO kids' choir — NathanpmYoung · 2026-10-27
- Band's local-AI music video hits 200k views: 900 generations kept 64, 3-second clips beat face drift — Hwang0500 · 2026-10-27
- Adobe Firefly video editor walkthrough: one-sentence Quick Cut turns 32s into 20s — LudovicCreator · 2026-10-26
- Hi3D V1.0 open-sourced with 2M training assets and 90% slicing success rate — kimmonismus · 2026-10-26
- Claude Can Replace Your YouTube Thumbnail Designer in 10 Minutes — thedankoe · 2026-10-26