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HackerNews

Tell HN: I De-Googled Myself

I really enjoyed the old Google, the nerd Google, the "don’t be evil" Google... Google Reader, Android, GTalk, etc. It made communication with my friends much easier. I had already been moving everything away from the Google ecosystem for about two years, but Google Photos was the hardest part because it contained so many memories that I wouldn’t risk losing. The final straw was when I accidentally subscribed to Google One with AI, which costs much more than simple additional storage. It’s not t

degoogled 2026-07-10 22:29 👁 4 查看原文 →
The Verge AI

I spent a week using the Trump phone — it sucks

The Trump phone was never a serious phone. Not when it was announced last June, in dodgy renders and with an incoherent spec sheet. Nor when Trump Mobile admitted - just two weeks later - that it wouldn't be made in the US. Not even when the company revealed the final phone, first to me […]

Dominic Preston 2026-07-10 22:19 👁 7 查看原文 →
Product Hunt

Fudge MCP

Give your AI agents design taste from existing websites Discussion | Link

2026-07-10 22:06 👁 7 查看原文 →
TechCrunch

Hugging Face’s CEO on why companies are done renting their AI

Open source AI is booming, according to Hugging Face CEO Clem Delangue. The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500. Delangue has seen the same story play out again and again: companies start […]

Theresa Loconsolo 2026-07-10 22:00 👁 8 查看原文 →
InfoQ

Slack Introduces Agent Driven End-to-End Testing to Improve Resilience in UI Test Automation

Agentic testing is an AI-driven approach to end-to-end test automation introduced by Slack engineering. It uses AI agents that execute workflows based on intent rather than fixed scripts, adapting to UI and system changes at runtime. The approach aims to reduce brittle tests in distributed systems while complementing deterministic unit, integration, and E2E testing strategies. By Leela Kumili

Leela Kumili 2026-07-10 21:48 👁 7 查看原文 →
InfoQ

Presentation: Chaos Engineering GPU Clusters

Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can handle complex topologies, network protocols like RDMA, and NUMA misalignments. Discover seven practical fault-injection strategies to maximize multi-million dollar hardware efficiency and build robust observability loops. By Bryan Oliver

Bryan Oliver 2026-07-10 21:42 👁 8 查看原文 →
The Verge AI

Would you host part of an AI data center in your home?

A solar and home energy storage company is expanding into AI data centers, but not by building one - instead, it's offering to pay its customers to put its compute units in their homes. Sunrun is launching a pilot program for a new "distributed AI compute" program that will "place numerous compute nodes in homes […]

Stevie Bonifield 2026-07-10 21:20 👁 5 查看原文 →