Roundtable Dinner: Navigating Long-Horizon Reasoning Across Cultures hosted by AI Circle & LILT
Roundtable Dinner: Hosted by AI Circle & LILT
Most benchmarks tell you if a model fails LILT's; tau2-bench tells you why. As we move from chatbots to autonomous agents, the "Multilingual Reasoning Gap" has become the final frontier. Join us for an evening of technical breakdown, networking and a chef's table of Mexican Michelin starred magic, as we deconstruct the structural failures of LLMs in non-English contexts.
The Experience
A Multi-Course Intellectual Tasting
We are pairing a Michelin-starred Mexican dinner with a structured technical "Engagement."
5:30 PM The Warm Up - Cocktails, arrivals, and networking.
6:00 PM The Thesis - Opening keynote on tau 2 Benchmark Research.
6:15 PM The Engagement A curated roundtable. "Bouncers" will be served with each course to drive deep-dive debate.
9:00 PM The Commitment Closing remarks and the path toward Frontier Model safety.
Why Researchers Should Attend
First Look: Access tau2-bench data designed to diagnose agentic reasoning failures.
Technical Rigor: Discuss long-horizon reasoning and simulated RL-gym environments.
Elite Peers: Engage with other Researchers LILT's PhD-led research team and a hand-picked group of AI practitioners.
About LILT:
LILT is the only AI-native multilingual solution for frontier AI data and enterprise localisation. We help make your data and content multilingual—faster, more accurately, securely, and at scale. Specialising in language-grounded alignment and multimodal evaluation, we provide research-grade expertise to govern AI systems. Unlike crowdsourced options, our curated expert network and continuous quality calibration provides high-fidelity signals to build reliable models ready for global deployment.