Your all-in-one hub for advancing frontier AI. Explore research, product updates, guides, and real-world use cases.
Takeaways on the themes and research directions likely to shape the year ahead. We focus on two core areas how to rigorously measure AI capabilities and how to build interactive systems that learn through experience over time.
Labelbox•December 16, 2025
Most real-world tasks are underspecified. We introduce Implicit Intelligence to test whether agents can infer hidden constraints, and Agent-as-a-World, a simple YAML framework for simulating environments without brittle, hard-coded worlds.
Ved Sirdeshmukh•November 21, 2025
Today we’re launching Labelbox Applied Research with three flagship pillars: Labelbox Evals for unified model evaluation, Labelbox Agents for building reliable and interpretable agents, and Labelbox Robotics (LBRx) for delivering high-quality training data for advanced robotic manipulation.
Labelbox•November 19, 2025
We've released a research paper on R-ConstraintBench, a novel benchmark for evaluating LLM reasoning on realistic resource-constrained project scheduling problems (RCPSP), a well-known NP-complete challenge.
Labelbox•August 22, 2025
Introducing Labelbox’s deep research leaderboard: an open, continuously‑updated scorecard that shows showing how top AI agents like OpenAI, Google, and Anthropic perform on long-form research tasks.
Labelbox•July 21, 2025
We tested rubric-based rewards and GRPO on a real-world e-commerce task and found they outperformed sparse rewards by 300%. This helps validate their effectiveness for complex, multi-step business workflows.
Labelbox•July 1, 2025
Agentic AI is emerging as a new frontier in autonomy, where models can plan, adapt, and take action independently. In this post we highlight three real-world projects with leading AI labs, from multi step tool use to structured reasoning and dynamic instruction following.
Labelbox•June 30, 2025
Enterprises need search-augmented LLMs that deliver fast, trustworthy, and up-to-date answers—not just polished language. Since public benchmarks rarely test for this, the Labelbox research team conducted its own study across three frontier models: Gemini 2.5 Pro, GPT-4.1, and Claude 4.0 Opus.
Labelbox•June 13, 2025
