Our 🔭VISTA🔭 paper is now on arXiv, with more ablations and results!
We introduced VISTA in our Aug 5 blog post. The paper further evaluates it on visual games and reasoning tasks beyond ARC-AGI-3 🧵
Paper: arxiv.org/abs/2610.02200
Code: github.com/joshhhhhan/VISTA
Previous blog post: vista-research.github.io/
Our takeaway: multimodal models possess strong reasoning abilities, and VISTA can unlock their potential to solve tasks across diverse interactive environments. Check out the paper for more details!
VISTA for ARC-AGI-3 is open source!
Code: github.com/joshhhhhan/VISTA
How does a model understand and explore a world it has never seen?
We introduce 🔭VISTA🔭, a visual harness that gives a VLM long-horizon vision for reasoning in an interactive world. With Claude Opus 5.0, it reaches 100% RHAE on @arcprize's ARC-AGI-3, perfectly solving all 25 public games.
Blog post: vista-research.github.io/ 🧵
Josh Han retweeted
🚀One of the biggest questions for AI agents is whether they can continue expanding their capabilities after deployment.
Deployment brings the experience needed to keep improving. As @ilyasut has argued, future intelligent systems should learn from deployment.
But this requires more than a new learning algorithm. It requires turning the serving stack itself into a learning layer: collecting live experience, turning it into updates, and safely bringing those updates back into serving.
That’s why we built Reef.
Reef is open-source infrastructure for continuously evolving agents at live deployment. To our knowledge, it is the first open-source infrastructure designed to evolve both model weights and the agent harness from deployment experience.
Not just weights, but also prompts, memory, skills, tools, and orchestration.
Reef already supports:
🧠Model evolution: SAO, TTT-Discover, OpenClaw-RL, with more recipes coming.
🛠️Harness evolution: SkillClaw, Meta-Harness, and a general harness-evolution engine built on Cordis, with native support for pi @pidotdev , OpenCode @opencode , and more harnesses coming.
With Reef, inference is no longer the end of the pipeline. It becomes part of a continual loop:
serve → learn → evolve → serve again.
Reef is fully open source. We would love you to try it, build on it, and tell us what is missing!
⭐ GitHub: github.com/Human-Agent-Socie….
💬 Discord: discord.com/invite/5y8e5f937….
#AgenticAI #llms
How does a model understand and explore a world it has never seen?
We introduce 🔭VISTA🔭, a visual harness that gives a VLM long-horizon vision for reasoning in an interactive world. With Claude Opus 5.0, it reaches 100% RHAE on @arcprize's ARC-AGI-3, perfectly solving all 25 public games.
Blog post: vista-research.github.io/ 🧵
VISTA is also not limited to 2D games. The same approach works when the same world is rendered as a 3D scene, or serialized into a 1D text grid, opening up more opportunities to generalize VISTA to other complex interactive tasks!
