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AI 资讯 Reddit r/artificial

We captured the network traffic of ChatGPT, Gemini and DeepSeek to see how each defines a "source" — they're three completely different mechanisms

Disclosure upfront: I'm the founder of an AI-visibility company, so this research scratches our own itch. Our domain was excluded from all counts before analysis. Not linking anything in the post. We wanted to answer a simple question: when an AI assistant shows you "sources," what is that, technically? So we opened devtools on the web clients of ChatGPT, Gemini, and DeepSeek, and ran the same 4 queries 10 times through each system. What we found: ChatGPT streams the answer over SSE and attaches citations as url_citation objects with start_ix / end_ix — character offsets into the generated text (UTF-16 code units, so emoji and CJK break your parsing if you count bytes). A citation is bound to a specific fragment of the answer, not the answer as a whole. Gemini runs on Google's batchexecute/JSPB transport — protobuf-as-JSON-arrays where fields have positions, not names. Next to each cited URL there's a family of short obfuscated fields. Our working hypotheses (not confirmed by Google docs): rs ≈ reliability score for the domain, ls ≈ last-seen date, GK ≈ character range (functional analog of ChatGPT's offsets). The interesting part isn't the exact decoding — it's that Gemini ships internal per-domain trust signals alongside every source. DeepSeek is the most transparent: a plain search_results[] array attached to the sub-queries it decomposes your question into. No offsets, no hidden fields. And what they actually cite is just as different: ChatGPT favored arXiv + Wikipedia (one arXiv paper got cited in 10/10 runs), Gemini favors big SaaS/marketing domains and — fun detail — never cited a single Google property in our runs, DeepSeek lives on press-release wires and news aggregators, including Chinese-language sources the other two never touched. Bonus finding: we compared all of this against Google/Bing top-10 for the same queries. URL-level overlap: 3.3% (4 matches out of 120 SERP positions). All four matches were Bing-side. Google: zero. Caveats: 4 queries from one

/u/emelian1917 2026-06-11 20:15 5 原文
AI 资讯 MIT Technology Review

The Download: soccer’s data renaissance and China’s big nuclear plans

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. Inside soccer’s data renaissance Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the…

Thomas Macaulay 2026-06-11 20:10 7 原文
AI 资讯 HackerNews

Show HN: Fata – Spaced repetition to fight skill rot from AI coding

Hi HN, I'm Djoumé. I've been a developer for over 20 years, and like a lot of you I've been coding almost exclusively through an agent in the past few months. It's been amazing to vibe code prototypes in any stack, but when it comes to building something reliable/scalable, I couldn't effectively guide the agent unless I knew the technology. And the scariest part is that I'm seeing a lot of my technical skills decreasing due to AI coding. Reflecting on my journey, I also worry about how the new "

djoume 2026-06-11 19:57 3 原文
AI 资讯 HackerNews

I procrastinate by building tools to stop me from procrastinating: A sad story

Hello, fellow overstimulated kids I don't know if it's something of my generation, my worsening ADHD or just laziness, but whenever I sit down and start studying something, magically, I find myself researching the most random shit ever. Need to do at least 1 hour of Game Theory? Best I can do is 3.5 hours of WWII fun facts. Anyways, as the lazy person I am, instead of finding the willpower to focus and get shit done, I made a customizable forward proxy. You can define your custom rules in nodes,

thisislorenzov 2026-06-11 19:51 4 原文
AI 资讯 The Verge AI

Anthropic apologizes for invisible Claude Fable guardrails

Anthropic has apologized for stealthily throttling its new AI model, Claude Fable 5, with hidden guardrails that undermine both researchers and rivals using it to develop competing systems. The company says it is reversing course and will be more transparent about when the restrictions kick in, even if that means Fable refuses more queries. Fable […]

Robert Hart 2026-06-11 19:40 8 原文
AI 资讯 Reddit r/artificial

When someone shares a productivity system

Good system. One addition that moved the needle for me: ​ I track "capacity conversion" -- when AI saves me 3 hours on a task what do those 3 hours actually become? ​ Most people save time with AI and then fill it with more busywork. The ROI only materializes when you deliberately redirect saved time toward higher-value activities. ​ I keep a simple log: "AI saved X hours on [task]. Redirected to [activity]. Value of redirected time: [$amount]." ​ After 6 months, my actual ROI was 4x higher than the "time saved" metric suggested because of where the saved time went. ​ submitted by /u/JaredSanborn [link] [留言]

/u/JaredSanborn 2026-06-11 19:39 5 原文
AI 资讯 The Verge AI

The library rules (and so do library streaming services)

Summer is almost here, and that means getting outside, having fun in the sun, and touching grass. But if you need to cool down for a bit, allow me to sing the praises of the library. If your local library system is anything like mine, it probably offers a lot of great things for you […]

Jay Peters 2026-06-11 19:30 7 原文