惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Google DeepMind News
Google DeepMind News
I
InfoQ
Engineering at Meta
Engineering at Meta
D
DataBreaches.Net
L
LangChain Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Recent Announcements
Recent Announcements
GbyAI
GbyAI
爱范儿
爱范儿
Microsoft Security Blog
Microsoft Security Blog
腾讯CDC
美团技术团队
罗磊的独立博客
Microsoft Azure Blog
Microsoft Azure Blog
WordPress大学
WordPress大学
T
The Blog of Author Tim Ferriss
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
雷峰网
雷峰网
M
MIT News - Artificial intelligence
D
Docker
MongoDB | Blog
MongoDB | Blog
F
Fortinet All Blogs
博客园 - 叶小钗

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
Fast Food and AI
Anton Kanafin · 2026-06-18 · via Hacker News - Newest: "AI"

Before fast food, eating a proper meal meant going to the store, buying ingredients like meat, potatoes, and flour, and cooking lunch yourself.

The food industry changed everything. We now have countless options: fast-food restaurants where you can get cheap, tasty food in minutes, and grocery stores stocked with endless packs of chips, soda, and other processed items. But the cost of outsourcing our food preparation has been extremely high : only a quarter of Americans are not overweight or obese. Diabetes, heart disease, liver conditions, and limited mobility have become extremely common. Yet, as noted, about a quarter of the population remains lean. These people are deliberate about their choices—they are careful about what they eat and how much they exercise.

That’s what happened to our bodies. Fast-forward to today, and we have AI. Our intellectual capabilities are now being outsourced. There is no need to think deeply anymore. Just write a prompt, and LLM will deliver what it considers the best solution to your problem.

Software engineers no longer write code - they write prompts that generate thousands of lines of code. Given the volume, it’s impossible to review everything manually. While there are tests meant to catch issues, few make the effort to truly understand what has been written. Similarly, university students no longer write their own papers. Why bother when AI can do it faster and often better?

My guess is that in 10–15 years, we will begin to see the full results of these changes. Just as fast food reshaped our bodies, AI will reshape our minds. The average intellectual level will decline. Solving difficult problems manually will become unusual, and most people will be incapable of doing so.

Still, as usual, a small percentage of people will continue to think for themselves — writing code, keeping complex architectures in their heads, and manually debugging issues. These skills will become rare and, perhaps, highly valuable.

Eventually, all of us will face a choice: think through a problem ourselves or simply type, “Hey ChatGPT, solve this for me…”

We already know what the majority will choose — just as they choose McDonald’s today.

Discussion about this post

Ready for more?