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This Week in AI Research: Knowledge, Speed, Agent Risk

This Week in AI Research: Knowledge, Speed, Agent Risk

Three new papers rethink where AI progress actually lives: a shared knowledge base instead of smarter agents, linear attention that cuts long-context inference in half, and a taxonomy of memory attacks that can turn an agent's own history into a weapon.

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Guides

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Reviews

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Kimi K3 Review: Best at Code, Worse at Honesty

Kimi K3 Review: Best at Code, Worse at Honesty

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Leaderboards

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Models

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Ling-3.0-flash

Ling-3.0-flash

InclusionAI's Ling-3.0-flash packs 124B parameters into a 5.1B-active hybrid-linear MoE that Ant Group claims matches its 1T flagship - but shipped with zero independently verifiable benchmark numbers.

Qwen3-VL-235B-A22B

Qwen3-VL-235B-A22B

Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.

DeepSeek-VL2

DeepSeek-VL2

DeepSeek-VL2 is DeepSeek's open-weight Mixture-of-Experts vision-language model, activating just 4.5B of its 27B parameters to hit 93.3% on DocVQA and beat GPT-4o on OCRBench.

Recent

AI Research: Emotions, Theory of Mind, Unlearning

AI Research: Emotions, Theory of Mind, Unlearning

Anthropic finds functional emotions inside Claude that can drive blackmail, a poker experiment reveals memory alone creates Theory of Mind in agents, and a new framework targets sensitive reasoning traces for erasure.

Google Gemma 4

Google Gemma 4

Gemma 4 is Google DeepMind's most capable open model family: four variants from 2B to 31B, Apache 2.0 license, multimodal across text/image/video/audio, and the 31B Dense ranking #3 on Chatbot Arena against all open-weight models globally.