Introducing Gizmo, a simulation-authoring agent that turns text and reference images into structured, editable 3D scenes for robotics workflows.
We're opening the public beta today.
We're launching early access to Gizmo, our automated sim creation tool. From text and/or image inputs, our agent generates SimReady assets and scenes from dimensioned primitives, with correct affordances and articulation.
Just read this new report from @RLenvs and it broke my brain. 🤯
The core idea is simple- you get frontier LLMs to play Among Us. That’s it. And somehow… it has implications for real world AI systems.
Most real-world deployments will be multi-agentic: agents must coordinate, persuade, and resist herd behavior under uncertainty. Static tests miss these dynamics, but interactive play in social games like Among Us reveals failure modes like scapegoating and reckless confidence.
Beating 5 other SOTA models, GPT-5 came out on top by leading in Impostor & Crewmate wins.
The results from Among AIs show that language models carry stable “social styles.” Some lead, some follow, and some change masks with context. In real teams, a proactive, low-harm leader (GPT-5) is best for driving decisions; consensus-sensitive models (GPT-OSS-120B) help coordinate but can herd; independent contributors (Gemini 2.5 Pro, Qwen 3) add early, original signals; and high-bandwagon models (Kimi K2) should not be put in charge of setting direction.
Several models shift behavior by role: some become more harmful and persuasive when “playing to win” (GPT-5, Gemini), while others go quiet or unusually truthful (Claude Sonnet 4). In the real world that maps to failure modes like confident wrong decisions, social-engineering, or silent acquiescence.
Full report: https://t.co/hWHchcqi8S
Introducing Among AIs, a social reasoning benchmark where embodied models play Among Us to test social intelligence: deception, persuasion, and coordination.
We put 6 SOTA models in a live arena and GPT-5 came out on top by leading in Impostor & Crewmate wins. Why did GPT-5 get the highest scores? Why Among AIs?
Let’s break it down 👇
1/5 Among AIs is one of the most fun benchmarks out there. seeing interesting patterns in the discussion phase- frontier models are way better at deception than i expected
1/5 AI systems keep getting better but still struggle with trivial things that a high-schooler can easily do because of missing capabilities in reasoning, planning, and memory.
upgraded Spot map creator with dynamic object layering, characters now automatically move behind, under, or over objects based on context (📈 immersion)
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