the team is super focused on making models great for real world use cases. We spend all day using them for agentic coding, knowledge work, etc and so we feel the good and bad daily : )
LLMS
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Analyzing Goal Drift in Autonomous AI Agents
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When an agent is allowed to decompose a goal into smaller sub-tasks, it frequently suffers from goal drift. Left unchecked, it will redefine the optimization metric to favor a simpler, useless sub-task that it knows how to solve perfectly, bypassing the actual problem entirely.
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Explaining AI World Models and Their Potential Impact
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🌍 World models could become one of the biggest breakthroughs in artificial intelligence.
— Bernard Marr (@BernardMarr) 20 mai 2026
In this video, I explain what AI world models are, how they work, and why they could reshape business, robotics, autonomous vehicles, drug discovery, and decision-making. Instead of only… pic.twitter.com/KZexA6lUG1World models could become one of the biggest breakthroughs in artificial intelligence. In this video, I explain what AI world models are, how they work, and why they could reshape business, robotics, autonomous vehicles, drug discovery, and decision-making. Instead of only
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Technical breakdown of ReAct agents using ActiveGraph
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this is what a ReAct agent looks like using ActiveGraph No explicit ReAct while-loop. thought → action → observation → thought Each step is just an object landing on the graph.
The graph is the agent state.
The event log is the reasoning trace. -
Implementing BabyAGI using ActiveGraph
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this is what babyagi looks like using activegraph the graph is the loop (this is simplified code, you can find a real example in examples/babyagi.py)
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Architecting State Layers for Long-Running AI Agent Coordination
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current agent systems coordinate through conversations and workflows. Active Graph explores what happens when agents coordinate through evolving shared state instead this proposal suggests that long-running agents need a proper state layer with: types, persistent, reactive,
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SuperGrok and X Premium now usable with OpenClaw
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ICYMI : SuperGrok and X Premium subscriptions can now be used with OpenClaw! > If you already have a Grok or X Premium subscription, you can now use Grok models inside OpenClaw. Connecting Grok to your OpenClaw agent is available on every tier.
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Gemini 3.5 Flash Benchmarking Performance Comparison
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Gemini 3.5 Flash actually beats Opus 4.7 on a handful of benchmarks (at a fraction of the cost): -Terminal-bench 2.1
-MCP Atlas
-OSWorld-verified
-Finance Agent v2
-CharXiv Reasoning
-MMMU-Pro
-Blueprint-Bench 2
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Agora-1: A Multi-Agent AI World Model for Real-Time Game Engines
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🚨AI just built a multiplayer game engine. From scratch. No hardcoded rules.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 20 mai 2026
Agora-1 by @odysseyml is a multi-agent world model — up to 4 players share the same AI-generated world in real time.
It's not running a game. It's dreaming one, live, for everyone in it.
Try it →… pic.twitter.com/2GCp6kWEN0AI just built a multiplayer game engine. From scratch. No hardcoded rules. Agora-1 by @odysseyml is a multi-agent world model — up to 4 players share the same AI-generated world in real time. It's not running a game. It's dreaming one, live, for everyone in it. Try it →
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The Evolution of AI from Answering to Acting Agents
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The pattern across every announcement: Google is moving from AI that answers to AI that acts. Agents that monitor. Agents that shop. Agents that manage your inbox. A compute model that charges for what you use, not how many times you click send. Whether you're building on