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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 > edge0-streams-an-8b-ai-model-from-ssd-using-only-1-gib

Edge0 Streams an 8B AI Model From SSD Using Only 1 GiB

22+ hour, 43+ min ago   (262+ words) Edge0 releases an 8B sparse MoE that runs in under 1 GiB of active memory on Apple Silicon, streaming experts from SSD on demand. Edge0 has released the 8B checkpoint and an accompanying streaming runtime that load mixture-of-experts weights from SSD as each token needs…...

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, 8+ 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 > cognition-s-devin-breaks-rsa-260-record-in-three-weeks-with-ai-agents

Cognition's Devin Breaks RSA-260 Record in Three Weeks With AI Agents

4+ day, 16+ hour ago   (476+ words) Cognition used Devin agents to build a GPU lattice siever that factored RSA-260, cutting factorization costs by roughly 10x versus prior public state of the art. RSA-260 sets a new record for the largest publicly solved RSA Factoring Challenge problem, which…...

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…...

Google News
alphasignal.ai > news > zed-1-19-ships-call-hierarchy-and-live-search-to-rival-top-editors

Zed 1.19 Ships Call Hierarchy and Live Search to Rival Top Editors

4+ day, 14+ hour ago   (313+ words) Zed's weekly release adds call hierarchy navigation, multi-select Git staging, auto language detection for scratch buffers, and live search-as-you-type by default. Zed 1.19 is out, and it's a polish release rather than a headline-feature swing. The update adds call hierarchy navigation,…...

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…...

AlphaSignal
alphasignal.ai > news > liquid-ai-s-pipette-exposes-what-server-benchmarks-hide-about-phone-ai

Liquid AI's Pipette Exposes What Server Benchmarks Hide About Phone AI

2+ week, 6+ day ago   (290+ words) Liquid AI and Artificial Analysis release an open-source suite that measures model quality, speed, latency, and memory across real phones, laptops, and embedded hardware. Model cards keep telling you what a language model can do on an H100. They rarely tell…...

AlphaSignal
alphasignal.ai > company > vllm_project

vLLM | AI Companies

4+ week, 1+ day ago   (139+ words) Open-source LLM inference and serving engine, originated at UC Berkeley's Sky Computing Lab. Built around PagedAttention for efficient KV cache memory management, with continuous batching, tensor and pipeline parallelism, and quantization support (FP8, GPTQ, AWQ). Supports 200+ Hugging Face model architectures with…...