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

罗磊的独立博客
Google DeepMind News
Google DeepMind News
MyScale Blog
MyScale Blog
A
About on SuperTechFans
Martin Fowler
Martin Fowler
M
MIT News - Artificial intelligence
Recent Announcements
Recent Announcements
D
DataBreaches.Net
B
Blog
博客园 - 【当耐特】
爱范儿
爱范儿
有赞技术团队
有赞技术团队
P
Proofpoint News Feed
WordPress大学
WordPress大学
小众软件
小众软件
Apple Machine Learning Research
Apple Machine Learning Research
I
InfoQ
Engineering at Meta
Engineering at Meta
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Last Week in AI
Last Week in AI
Microsoft Azure Blog
Microsoft Azure Blog
雷峰网
雷峰网
量子位
G
Google Developers Blog

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
AI Hype vs AI Reality – Fixing Tao
gslepak · 2026-05-12 · via Hacker News - Newest: "AI"

It’s frustrating to the point of being funny how simultaneously impressed some people are with AI and the reality of LLMs.

There are people who are convinced the AGI is here right now.

Others are convinced that either OpenAI or Anthropic are “going to build AGI”.

I’ve been a software developer for decades. And I can tell you that it’s frustrating to hear this commentary.

To hear the lies. To hear the marketing.

Because I see the trajectory. I use these models every day. And they cannot do what I can do. I know they will never be able to.

The general gist of what the AI community is trying to achieve is directionally correct.

We don’t want to write code anymore.

But LLMs cannot replace developers because transformers are simply broken.

They’re too stupid and always will be.

Working with them on any serious task quickly reveals their limitations.

I’ll give you an example. I’m trying to get the Dez codebase to properly use SBP with MVC. The model doesn’t get it, even with examples of code I’ve written.

Why?

It doesn’t get it because nobody but our team at okTurtles uses SBP.

It’s too new. There’s not enough training data on it. It’s a concept these LLMs have never encountered before.

There are many such concepts. And as we move forward, the frustrations will continue.

Ordinary people don’t care about this. They just want to see a pricing page that looks good.

They don’t care about how the code is structured. So they’re thrilled and they love to tell me about how thrilled they are.

Meanwhile, I’m fighting with this dumb clanker trying to explain SBP MVC principles to it, and it’s just not getting it, and I know that it never will. And even if it does, then still, it won’t. If you understand what I mean.

😪