Raxy ๐ We are hiring retweeted
Weโre thrilled to announce a $12M Seed round, led by @hack_vc, with participation from @NomadCapital_io , @PiCoreTeam Ventures , @10kventure and top angel investors.
Physical AI has a data problem. Models need more than static datasetsโthey need diverse data that evolves with them.
Axisโs compounding Data Engine is here to fix this gap. Our end-to-end closed-loop workflow unites large-scale simulation, egocentric real-world capture, and human-in-the-loop post-training to unlock scalable production of structured, multi-diverse robotic data โ the core missing piece for Physical AI.
The capital will accelerate Axisโs mission to build a massively parallel, human-in-the-loop global data engine. Weโre just getting started.
Raxy ๐ We are hiring retweeted
you don't adopt the @Pipapu_PopX โ the squad adopts you.
Raxy ๐ We are hiring retweeted
History never to be forgotten. This one was for all of you ๐๐
#IEM - #FalconsAreHere
What an amazing game @FalconsEsport
Please take the championship home
27
26
464
็้ผ
Introducing LPM 1.0 โ a video-based character performance model that speaks, sings, listens, reacts, and emotes in real time.
- Generating full-duplex conversation, identity-consistent infinite-length generation, and nuanced human-like performance.
- Building across a co-designed data pipeline, Base model, Online model, and streaming inference optimization.
- Key advantages over other video generation models: performance quality, emotional conversation, precise lip-sync, identity preservation, and lifelike naturalness.
Turning an image into a performance video, LPM 1.0 serves as a visual engine for conversational agents, live streaming characters, and game NPCs.
Page: large-performance-model.githโฆ
Arxiv: huggingface.co/papers/2604.0โฆ
2
4
961
