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LLM-Graph Hybrid Beats GPT-4o-mini in Amazons

LLM-Graph Hybrid Beats GPT-4o-mini in Amazons

Proposes a lightweight hybrid framework for resource-constrained Amazons chess, combining graph attention autoencoders with MCTS, genetic algorithms, and GPT-4o-mini for synthetic data. Achieves 15%-56% higher decision accuracy over baselines and outperforms GPT-4o-mini with 66.5% win rate at N=50 nodes. Demonstrates weak-to-strong generalization from noisy LLM supervision.

ArXiv AIResearchMar 12#game-ai#graph-attention#mcts
Anthropic Targets a Record-Breaking IPO

Anthropic Targets a Record-Breaking IPO

Anthropic reportedly expects its IPO to match or exceed SpaceX's record $75 billion raise and could file publicly as soon as the end of this month. The company reportedly recorded an almost $42 billion net loss in 2025, about five times the previous year's figure.

The Next Web (TNW)Media1h ago#ipo#frontier-ai#fundraising