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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

Search API Pricing Compared 2026

Search API Pricing Compared 2026

Per-query pricing for search APIs used in AI agents and RAG pipelines - Brave, Tavily, Exa, SerpAPI, Serper, Perplexity Sonar, You.com, Jina Reader, Firecrawl, and more compared at 10k, 100k, and 1M queries.

Speech-to-Text API Pricing Compared - 2026

Speech-to-Text API Pricing Compared - 2026

Per-minute and per-1000-minute transcription API pricing across OpenAI Whisper, Deepgram Nova-3, AssemblyAI, Google Chirp 2, Azure, AWS Transcribe, Groq, ElevenLabs Scribe, and more.

Structured Output JSON Schema Leaderboard 2026

Structured Output JSON Schema Leaderboard 2026

Rankings of LLMs and constrained decoding frameworks on JSON schema adherence benchmarks including JSONSchemaBench and BFCL v3, covering native APIs and open-source constraint engines.