Bespoke Labs is hiring a contract researcher to design and evaluate reinforcement learning environments and benchmarks for long-horizon agentic tasks, which require hours, days, or weeks of coherent m…
Routing every coding task to a frontier model wastes budget, according to a developer's cost strategy comparing GLM 5.2 and Opus 4.8. GLM 5.2, an open-weights model with 753B parameters (40B active), …
Zenith, a new agent harness developed by an unnamed team, lifted OpenAI's GPT-5.5 from 5th to 1st place on the FrontierSWE benchmark, outperforming Anthropic's Claude Fable. The harness improves perfo…
Z.AI's open-weight GLM-5.2 model outperforms GPT-5.5 on the SWE-bench Pro coding benchmark, scoring 62.1 versus 58.6, while costing $1.40 per million input tokens compared to GPT-5.5's $8.00. Released…
Z.ai's MIT-licensed GLM-5.2 model challenges OpenAI's GPT-5.5 with a 28% hallucination rate on the AA-Omniscience benchmark, three times lower than GPT-5.5's 86%, while costing 1/7th the inference pri…
Zhipu AI released GLM-5.2, an open-source large language model with a 1M-token context designed for long-horizon coding tasks. The model introduces IndexShare to reduce computational costs and achieve…
A developer released Lazarus, a new coding agent that uses a single persistent Python runtime instead of multiple specialized tools, achieving scores comparable to GPT-5.5 in Codex on two FrontierSWE …