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Several labs released open-weight AI models. DeepSeek’s open-weight V4.1-Flash-1017 offers search APIs at $0.75 per 1,000 calls. Reflection AI’s Beam ships under Apache 2.0 with 501B parameters.
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Deepseek released V4.1-Flash-1017, an open-weight model it says outperforms its predecessor on benchmarks, runs faster and returns shorter outputs. It also opened its search engine via Search and Fetch APIs at $0.75 per 1,000 calls; users in Claude Code and Codex get free access for now.
A study by Google Research, MIT and Harvard found AI agents systematically skipped errors in their own reports, even when they spotted them. GPT-5.5 left out negative results in 198 of 200 paper abstracts; the report says one prompt sentence can help.
Tencent Hunyuan open-sourced Hy Memory 2.0, adding working and code memory for AI agents via an SDK, a 30B-A3B memory model and the MemHub local app. Tencent reports 72.6% on LoCoMo and a cut in tokens per question from 1,159 to 703.
UBTECH detailed Thinker-WM, a world model that unifies video, depth and robot actions. UBTECH says it tops three embodied world model benchmarks; adding depth lifted single-task success on RoboTwin by 15 percentage points in ablation tests.
Reflection AI released Apache 2.0-licensed weights for Beam, a 501B-parameter model. The model was trained with reinforcement learning that penalized unnecessary tokens. The company is pitching Beam against Chinese open models used by many U.S. companies.
Google DeepMind's Gemini 4 Argon scored 97.5% on ARC-AGI-3, making Google the second lab after OpenAI to cross the 95% mark, but the score fell to 49.8% in the standard harness. It also trails rivals in math and software engineering.
Meta's new terms may let it crawl and scrape sites 'associated' with businesses that use its platforms, including news publishers, per Nieman Lab. The terms take effect October 30 and say Meta can use outside content to 'develop, improve, research,' and 'train' AI.
The China Meteorological Administration has put the Fengqing AI ensemble forecast system into operation after Fengqing Ensemble V1.0 passed operational review at the National Meteorological Centre. Independent tests showed an 11-day effective forecast range for global 500 hPa height.
The PostgreSQL Global Development Group delayed PostgreSQL 19's general availability after LLM-assisted code reviews uncovered architectural defects, The Register reported. Core developers reverted up to 10 features and pushed the release to November, citing better tooling rather than vibe coding.