search
Laya
Trends
- 1
Ollaya is a project being discussed on Hacker News, described as 'Ollama for open-source, Jev-style decision models'. The framing suggests a tool that makes decision-making models as easy to run locally as Ollama made large language models, though the single post title gives little detail. With 537 likes and a high rank, commenters appear interested in the analogy to Ollama, but the posts collected do not explain what the tool actually does or why it is generating attention.
- 2Trump's Greenland threats turned into satirical arcade game▼Trump’s Greenland threats become playable arcade game in satiric collective’s latest public art intervention
A satirical art collective has turned Donald Trump's repeated threats to acquire Greenland into a playable arcade game, installed as a public art intervention. The piece invites players to engage directly with the absurdity of the geopolitical standoff, continuing the collective's practice of converting political headlines into interactive street installations that mock US ambitions over the Danish territory.
- 3Acurast scales open-source AI model Laya on decentralized smartphones●Acurast Brings Open-Source System One AI to Scale: Running Laya on Decentralized Smartphones
Acurast says it is running the open-source System One AI model Laya at scale across a decentralized network of smartphones. The company positions the rollout as proof that everyday consumer devices can serve as compute infrastructure for AI workloads, bypassing traditional data centers. Details about performance, adoption and partners remain limited, but the announcement is drawing attention within the decentralized computing and crypto communities.
Repos
- NandhaKishorM/laya Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward
- ollaya-dev/ollaya Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollam
- mizorewww/laya-mlx Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or c
- mizorewww/laya-coreml Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reprodu