Always down to connect with fellow AI researchers here 👋
Looking for more AI researchers on my timeline 👀
I'm Sangoh Lee from POSTECH 🇰🇷 📄 1st-author paper at #ICML2026
Diving deep into #VLA, #WorldModels, #WorldActionModels & #AgentRobotics.
Also into #AIAgents!
What are you building or researching lately? Drop a reply—I'd love to check out your work!
Say hi and tell me what you're working on!
Let's #connect 🤝
The way we evaluate frontier AI models has fundamentally changed. Nobody cares if a model gets the right answer on a static prompt anymore. The real test is how long, reliably, and safely an AI agent can operate on complex tasks without breaking.
@GoogleDeepMind’s new #Gemini4Carbon is the clearest proof of this shift:
• Multi-day endurance: Operates autonomously across massive codebases for days, not minutes
• 0.0% hijack rate: Blocked 100% of indirect prompt injection attacks
• 0.0% cheating on Terminal-Bench 4.0
• #1 on Artificial Analysis (59), beating Claude Opus 5.5 & GPT-6 Astra
Raw IQ is a commodity now. Long-horizon reliability is the new moat.
Always down to connect with fellow AI researchers here 👋
Looking for more AI researchers on my timeline 👀
I'm Sangoh Lee from POSTECH 🇰🇷 📄 1st-author paper at #ICML2026
Diving deep into #VLA, #WorldModels, #WorldActionModels & #AgentRobotics.
Also into #AIAgents!
What are you building or researching lately? Drop a reply—I'd love to check out your work!
Say hi and tell me what you're working on!
Let's #connect 🤝
@the_JashThakkar That's a great question and a key challenge. In my opinion, incorporating multimodal feedback (like contact or dynamics priors) or conditioning on structured state representations usually helps keep predictions grounded.
Always down to connect and discuss more.