TAG
#efficiency
Stories connected through a shared idea, actor, technology or theme.
Ataraxos defeats a Stratego world champion with far less trainingAtaraxos won 15 games, lost one and drew four against Pim Niemeijer, described by the researchers as the most decorated Stratego player historically. The system trained on roughly 160 million games, compared with about 5.5 billion for DeepNash, and also performed strongly on Hanabi and dou dizhu.→PoEM predicts reinforcement-learning outcomes without rerunning trainingPoEM models post-trained policies as combinations in log-policy space and estimates new policy outcomes from existing policy outputs. Experiments across synthetic and real rewards cover both text and image modalities, potentially reducing repeated reinforcement-learning runs.→OpenAI publishes first benchmark results for Jalapeño inference chipOpenAI says Jalapeño delivered higher throughput, lower latency and better energy efficiency than comparison systems when serving GPT-OSS 120B, DeepSeek R1 and Kimi K2.5 1T. The results are vendor benchmarks for inference hardware, not training, and OpenAI says limited systems will be deployed this year.→GLM-5.3 doubles its reported KernelBench-Mega speedupThe result compares with 11.1 times for GLM-5.2 and reportedly passes the benchmark's single-launch gate that the earlier version failed. The implementation used Kimi-Linear Decode on an RTX PRO 6000 and CUDA techniques including persistent CTAs, Int4 dequantisation and fused latent-attention handling.→