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Alphasignal

Stay on top of the latest research, models, and breakthroughs in AI. Read by 150,000+ engineers, data scientist, and researchers.

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  • Aug 15, 2026earliest in window
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News

AlphaSignal
alphasignal.ai > news > google-s-artemis-hits-99-on-android-tasks-where-most-agents-fail

Google's ARTEMIS Hits 99% on Android Tasks Where Most Agents Fail

4+ day, 7+ hour ago   (238+ words) AlphaSignal - Google open-sourced ARTEMIS, an Android automation agent from the Pixel Test Engineering team. - Claims 99%+ success on Google Research's AndroidWorld benchmark of 100+ multi-step tasks. - Flash mode hits 3-5s per step via an optimistic async pipeline with snapshot rollback. - Native MCP server…...

AlphaSignal
alphasignal.ai > news > cozyclay-lets-you-direct-ai-video-shots-in-3d-without-writing-prompts

CozyClay Lets You Direct AI Video Shots in 3D Without Writing Prompts

4+ day, 15+ hour ago   (230+ words) AlphaSignal - CozyClay is an open source browser-based previs studio: npx cozyclay and you're in. - Built with Three.js and React Three Fiber, licensed AGPL-3.0, requires Node 22+. - Block scenes, pose characters, author camera moves, then hand the shot to an AI…...

AlphaSignal
alphasignal.ai > news > perplexity-s-q2d-web-benchmark-tests-ai-search-on-190m-real-web-documents

Perplexity's Q2D-Web Benchmark Tests AI Search on 190M Real Web Documents

4+ day, 16+ hour ago   (291+ words) Perplexity released Q2D-Web, a large-scale benchmark with 190M documents and 70K agent-reformulated queries for evaluating retrieval in agentic RAG systems. Q2D-Web also targets a mismatch specific to agentic systems. Benchmarks typically use human-written queries, whereas RAG agents rewrite user requests into their…...

AlphaSignal
alphasignal.ai > news > claude-prompt-caching-6-tricks-that-cut-your-api-bill

Claude Prompt Caching: 6 Tricks That Cut Your API Bill

4+ day, 22+ hour ago   (740+ words) Breakpoints, TTL math, Batch stacking, and a two-session split. Measured on OpenRouter, $0.003 vs $0.022 per turn Automatic caching billed us $0.022 per turn for the same 8,400 tokens that cost $0.003 once we placed the cache marker by hand. And as far as we…...

AlphaSignal
alphasignal.ai > news > perplexity-s-rose-serving-stack-beats-vllm-on-speed-and-latency

Perplexity's ROSE Serving Stack Beats vLLM on Speed and Latency

1+ week, 2+ day ago   (395+ words) Perplexity open-sources details of Ivy, Tulip, and ROSE, its Rust plus Python embedding stack that beats vLLM on latency and throughput. Every Perplexity answer begins with a quiet but expensive step: turning a query and billions of candidate documents into…...