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AI 资讯 MIT Technology Review

The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The Meta hack shows there’s more to AI security than Mythos On Monday, reports emerged that attackers had used Meta’s AI customer support agent to steal Instagram accounts. Their approach was…

Thomas Macaulay 2026-06-05 20:10 11 原文
AI 资讯 The Verge AI

I customized a MacBook Neo with colorful spare parts

The MacBook Neo is Apple's cheapest laptop, its most colorful, and its easiest to repair in years. That means owners can buy replacement parts in all four of its available colors and swap them in on their own. So that got us thinking: What if we bought a Neo just to see how funky we […]

Antonio G. Di Benedetto 2026-06-05 20:00 15 原文
AI 资讯 InfoQ

How Netflix Maps Thousands of Microservices in Real-Time

Netflix has shared details about Service Topology. This internal system creates and updates a live dependency graph for thousands of microservices. It helps engineers see how services connect and resolve issues more quickly. The system merges three separate data sources into a single, queryable graph. It updates almost in real-time as traffic patterns shift. By Claudio Masolo

Claudio Masolo 2026-06-05 20:00 16 原文
AI 资讯 The Verge AI

Porsche’s Cayenne Coupe Turbo will even make 911 owners nervous

Back in 2002, Porsche fans sputtered with rage as the Cayenne made its debut at the Paris Motor. More than 20 years later, Porsche now sells more SUVs than anything else in its lineup. Last year, the Macan and Cayenne accounted for 62 percent of all Porsche sales. Now, these SUVs are trolling traditionalists in […]

Lawrence Ulrich 2026-06-05 19:00 12 原文
AI 资讯 Reddit r/artificial

I built an LLM observability platform in a weekend — see every AI call, cost and latency in one dashboard

I kept shipping AI apps with no idea what was happening under the hood — prompts going in, responses coming out, costs creeping up, and zero visibility into any of it. So I built LogLens. Add one line of code and it logs every single AI call your app makes — the full prompt, completion, latency, token count, and cost — all in a clean dashboard. Works with Anthropic and OpenAI out of the box. No framework lock-in. npm install loglens const anthropic = wrapAnthropic(new Anthropic(), { apiKey: 'your-key' }) // that's it — every call is now logged Built the whole thing in ~48 hours using Claude Code. Still early but fully working. Free early access here: llm-watch.vercel.app Would love feedback — what features would make you actually use this day to day? submitted by /u/ProcessAutomatic6941 [link] [留言]

/u/ProcessAutomatic6941 2026-06-05 18:59 8 原文