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Z.ai’s open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the cost

VentureBeatCovered by148 min read
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Covered by14 sites
vettedconsumer.com, The National Interest, and more ›
Covers 10 stories
GLM-5.2 (6 minute read), Claude API Docs, and more ›
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Databricks says it solved the decades-old data pipeline problem that's been slowing AI agents

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Stanford's DeLM cuts multi-agent task costs 50% — without a central orchestrator

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Satya Nadella warns that AI could hollow out entire industries, echoing the damage done by globalization

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When deep research isn't enough for your business: Sakana AI launches 'ultra deep research' agent for 100+ page reports in 8 hours

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85% of IT teams claim every AI agent is under control. Only 42% actually know who owns them.

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Vibe coding can build your pipeline. It can't explain it six months later

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Attackers scale deception with AI. Defenders need truth at machine speed.

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MCP solved tool calling. A2A solved coordination. What solves transport?

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Anthropic blocks all public access to Claude Fable 5, Mythos 5 following US government order — what enterprises should do

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Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

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Google researchers introduce 'faithful uncertainty', allowing LLMs to offer best guesses instead of hallucinations

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NanoClaw and JFrog launch 'immune system' to block AI agents from downloading malicious code

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PixelRAG beats text parsers on accuracy and cuts AI agent token costs 10x

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Xiaomi's new open source, agentic AI coding harness MiMo Code beats Claude Code at ultra-long, 200+ step tasks

VentureBeatHNCovered by410 min read
VentureBeat
Covered by4 sites
AI Changes Everything, The New Stack, and more ›
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Claude API Docs, Any ideas about Gemma 3 27B API Limitations from Google, and more ›
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Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

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Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

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What AI benchmarks miss about real-world performance

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Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

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Why AI that works in the lab often fails in production — and what actually fixes it

VentureBeat4 min read
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