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/FRONTIER

The AGI Frontier

AGI is not a single destination — it is a race on multiple parallel tracks. Track every research path, lab, and debate shaping the next decade of intelligence.

AGI Roadmap →Route Debates
Contested
Scaling / LLMs

The dominant paradigm since 2020: more parameters, more data, more compute. Now approaching diminishing returns on core reasoning tasks — the central debate of the decade.

312 articles
OpenAIGoogle DeepMind
🌐Rising
World Models

Internal predictive representations of the world enabling planning and counterfactual reasoning. LeCun's JEPA is the leading architecture proposal. Gaining momentum rapidly.

87 articles
Meta FAIRGoogle DeepMind
🤖Accelerating
Embodied AI

Intelligence grounded in physical interaction with the world. Robots, dexterous manipulation, sim-to-real transfer. Figure AI, 1X, and Physical Intelligence leading commercialization.

145 articles
Figure AIPhysical Intelligence
🧩Niche
Neuro-Symbolic

Combining neural pattern recognition with symbolic reasoning and formal logic. Tackles compositionality, systematic generalization, and causal inference.

63 articles
MITCMU
👥Active
Multi-Agent

Societies of AI agents coordinating, competing, and specializing. Foundations for AI-driven economies, scientific collaboration, and emergent collective intelligence.

108 articles
OpenAIMicrosoft Research
🔬Breakthrough
AI for Science

AlphaFold changed biology. AlphaGeometry changed math. AI is now a peer tool in every scientific domain — materials, climate, drug discovery, physics.

94 articles
Google DeepMindMicrosoft Research
🏋️Core
RL & Agents

Reinforcement learning from human feedback underpins every frontier model. Pure RL agents demonstrate reasoning through search. RLHF, RLAIF, and process reward models.

201 articles
OpenAIAnthropic
💡Long-term
Neuromorphic / HW

Brain-inspired computing: spiking neural networks, analog chips, in-memory computing. Intel Loihi, IBM NorthPole. Targeting 1000× energy efficiency gains.

41 articles
Intel LabsIBM Research
world models

LeCun's JEPA at Scale: First Independent Replication Results Are In

Elena Park·2h ago·12 min

scaling

GPT-5 Internal Evals Show Emergent Planning Capabilities Never Seen Below 100B Params

Marcus Chen·5h ago·8 min

embodied

Figure 02 in the Wild: Six Months of Real-World Deployment Data Analyzed

Sophia Lin·7h ago·15 min

ai4science

AI Discovers New Class of Antibiotics Effective Against Drug-Resistant Bacteria

David Huang·Yesterday·10 min

rl agents

Process Reward Models Outperform Outcome Reward Models Across All Reasoning Benchmarks

Leo Zhao·Yesterday·9 min

multi agent

When 1000 LLM Agents Collaborate: Emergent Division of Labor in Code Generation Tasks

Claire Ye·Yesterday·11 min

neuro symbolic

MIT's New Causal Reasoning Benchmark Exposes Systematic Failures in All Current LLMs

Marcus Chen·2 days ago·7 min

neuromorphic

Intel Loihi 3 Achieves 10,000× Energy Efficiency Over GPU for Sparse Inference Tasks

Sophia Lin·2 days ago·6 min
NeurIPS 2025scalingGoogle DeepMindDec 10, 2025

Scaling World Models via Self-Play: a Recipe for Open-Ended Learning

We propose a self-play framework that trains world models by having agents compete and cooperate in procedurally generated environments.

Hafner et al.412 citations

ICRA 2026embodiedPhysical IntelligenceMay 3, 2026

π0.5: A Vision-Language-Action Model for General-Purpose Manipulation

We scale VLA models to 7B parameters using a novel cross-embodiment dataset of 200M manipulation trajectories.

Black et al.238 citations

ICLR 2026neuro symbolicGoogle BrainJan 22, 2026

Chain-of-Thought without Prompting: Emergent Reasoning in Large Transformers

We show that CoT reasoning pathways emerge spontaneously in sufficiently large transformers without any explicit prompting.

Wang et al.891 citations

Nature 2026ai4scienceGoogle DeepMindMar 15, 2026

AlphaGeometry 2: Olympiad-Level Geometric Reasoning with Synthetic Data at Scale

Extending AlphaGeometry, we achieve gold-medal performance on 96% of IMO geometry problems using synthetic deduction corpora.

Trinh et al.1204 citations

arXivrl agentsAnthropicJul 25, 2026

Constitutional AI 2.0: Reinforcement Learning from Principle Hierarchies

We introduce a hierarchical constitutional framework where abstract principles generate specific rules for finer behavioral control.

Bai et al.76 citations

arXivmulti agentTsinghua UniversityJul 18, 2026

Emergent Specialization in Large-Scale Multi-Agent Language Model Systems

When populations of LLM agents interact over thousands of rounds, specialist roles and protocols emerge without explicit programming.

Chen et al.143 citations

/FRONTIER · DESK

Desk notes

Longform on labs, agents, and scaling — same tracks as the map above.