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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
My Take on Gen AI Content
Sev · 2026-06-16 · via Hacker News - Newest: "AI"

Disclaimer: in this article, I will talk about Gen AI writing documents, not code.

In my team, we use a JIRA template, which is good because it helps ensure we include enough detail and makes it look nice. But let’s be honest: it takes time to write tickets, so we started to use generative AI to write them. What we started to notice, though, is a drop in attention during refinement sessions. All the tickets started to look (and sound) the same; they were long and hard to read. Therefore, refinement became less useful; people would spend less time discussing the tickets and more time trying to understand them once they were moved into “development”.

In a retrospective, a few team members (including me) highlighted this problem. We decided that we were still allowed to use Gen AI to simplify the writer’s life, but only if it also simplifies the whole team’s life.

The result: people still use Gen AI to write the ticket, but they re-read it and make sure it’s short, sharp and easy to read so we can refine it properly.

Similarly, we noticed that documents such as Request For Comments, Product Requirements Documents and other investigations were becoming long and difficult to read. I mean, 25 minutes to simply read an RFC, who will take the time to review it properly? I also started finding all these documents boring as hell. You scan the document, and in 5 seconds, you can say it was written by an AI. All these docs looked the same to me.

Don’t get me wrong, it’s totally fine to use Gen AI to write documents. It would probably be stupid not to. However, it is important to double-check the content, understand what we write, and make it interesting to read.

The risk of writing these long-form, soulless documents is that people will stop reviewing them and giving feedback. And that defeats the whole purpose of such documents!

As for the JIRA tickets, we agreed to have an extra read-through of the content to make sure it’s clear, concise and doesn’t sound like AI-generated content.

I’ve been writing blog articles on Medium for a couple of years now. I am mainly sharing content about engineering management and leadership.

As English is not my native language, I quickly felt bad that my articles wouldn’t reach the right audience, that people would judge my content, that I was not good enough… So I started to use Gemini to help me initially with the formatting and then to generate a few sentences and sometimes to generate the full draft for me.

I still consider the content as mine, as I spend time finding the ideas, doing the research (and the fact-checking), and I still spend a considerable amount of my personal time on it. However, the result doesn’t “feel” like me. It’s losing its authenticity; it’s too polished, and it gets lost in the flood of AI-generated content.

So, from now on, I have decided to stop using AI to generate and write my blog articles. I will only use it to check the grammar, the spelling and the typos. My content will be less polished, more natural and more authentic. More like me!

If people don’t like it, that is fine. They can go ahead and experience the tone of AI Gen content that’s waiting for them out there. But at least, I will enjoy writing again!

In fact, it’s the first time in a while that I have really enjoyed writing an article. So stay tuned for more “authentic” content!

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