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

雷峰网
雷峰网
宝玉的分享
宝玉的分享
I
InfoQ
P
Privacy International News Feed
V
V2EX
IT之家
IT之家
S
SegmentFault 最新的问题
D
Darknet – Hacking Tools, Hacker News & Cyber Security
V2EX - 技术
V2EX - 技术
C
CERT Recently Published Vulnerability Notes
C
Check Point Blog
The Register - Security
The Register - Security
爱范儿
爱范儿
博客园 - 三生石上(FineUI控件)
AWS News Blog
AWS News Blog
M
MIT News - Artificial intelligence
C
Cyber Attacks, Cyber Crime and Cyber Security
F
Fortinet All Blogs
B
Blog
N
Netflix TechBlog - Medium
B
Blog RSS Feed
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Last Week in AI
Last Week in AI
T
Threatpost
Forbes - Security
Forbes - Security
U
Unit 42
A
Arctic Wolf
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
P
Palo Alto Networks Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Recorded Future
Recorded Future
L
Lohrmann on Cybersecurity
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
P
Proofpoint News Feed
月光博客
月光博客
Spread Privacy
Spread Privacy
MongoDB | Blog
MongoDB | Blog
Jina AI
Jina AI
I
Intezer
V
Visual Studio Blog
阮一峰的网络日志
阮一峰的网络日志
The Hacker News
The Hacker News
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
L
LangChain Blog
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
博客园_首页
MyScale Blog
MyScale Blog
腾讯CDC
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
量子位

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 GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. 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 How to Switch AI Chatbots and Why You Might Want To GitHub - MattMessinger1/agentic_refund_guardrail: Safe refund policy layer for AI agents — Python + TypeScript. Same behavior, shared tests. Adam/papers/emergent_values_whitepaper.md at master · strangeadvancedmarketing/Adam Ask HN: How do you stop playing 20 questions with your AI coding tools How far can automation and AI support psychotherapy? - @theU GitHub - stagas/rtdiff: realtime git diff gui and AI-assisted commits A Mac Studio for Local AI — 6 Months Later A History of the Early Years of AI at the University of Edinburgh Why AI Coding Tools Still Feel Stuck on Localhost MSN AI Datacenters Are Becoming Strategic Targets twitter.com Penn Researchers Use AI to Surface Unreported GLP-1 Side Effects in Reddit Posts Show HN: MoodSense AI (ML and FastAPI and Gradio, Deployed on Hugging Face) Moodsense Ai - a Hugging Face Space by aman179102 AI models are terrible at betting on soccer—especially xAI Grok GitHub - xialeistudio/echoic GitHub - HimashaHerath/github-dev-wrapped: AI-powered weekly GitHub activity reports deployed to GitHub Pages GitHub - alejandrobalderas/claude-code-from-source: Architecture, patterns & internals of Anthropic's AI coding agent — reverse-engineered from source maps AI and Tech brief: Ireland ascendant GitHub - Titovilal/context0: Context0 - Never Surrender Training for a Marathon with an AI Coach: What Worked and What Didn't Cyber Pulse: Agentic Intel - Apps on Google Play I Built an AI PR Reviewer That Catches Bugs by Not Looking for Bugs Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout | Fortune How AI Is Reimagining the Game of Golf–For Both Players and Courses GitHub - nattergabriel/reseed: A CLI tool for managing and distributing agent skills across projects Is SVG the final frontier? My AI workflow evolved from prompts to a near-autonomous workflow MLSharp Help - 3DGS Viewer & Generator I put my cognitive field based AI's runtime on GitHub Is Numble the first AI-proof game? A3: Kubernetes for autonomous AI agent fleets | Emergent Principles Deepali Vyas ("The Elite Recruiter") GitHub - msmarkgu/RelayFreeLLM: A restful API designed to route user prompts to various AI model providers. Unionized ProPublica staff are on strike over AI, layoffs, and wages Unleashing the Advantage of Quantum AI We're heading for an AI-fueled 'dementia crisis,' brain scientist warns The AI-Assisted Breach of Mexico's Government Infrastructure [pdf] GitHub - stef41/lmscan: 🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline. MSN GitHub - visionscaper/collabmem: Enabling long-term collaboration with Agentic AI - building up episodic and world model memory over time with in-context awareness We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs AI Code is Hollowing Out Open Source, and Maintainers are Looking the Other Way What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI AI is the boss at this retail store. What could go wrong? GitHub - Wuzu11517/agentic-proxy: Local proxy meant to help reduce With Drones, Geophysics and ArtificiaI Intelligence, Researchers Prepare to Do Battle Against Land Mines A Single Operator, Two AI Platforms, Nine Government Agencies: The Full Technical Report 在 Steam 上购买 FriedrichAI: Offline AI 立省 10% GitHub - inevolin/resume-cli: Hit Claude usage limits? Resume any AI coding session elsewhere. Switch tools at zero friction. GitHub - atripati/ark: AI Runtime Kernel — a context operating system for AI agents. Eliminates tool bloat, loads only what’s needed, and gives LLMs their reasoning space back. How to Build a Secure AI PR Reviewer with Claude, GitHub Actions, and JavaScript This Startup Wants You to Pay Up to Talk With AI Versions of Human Experts Intel Arc Pro B70 Brings 32GB VRAM to Local AI for $949 WordPress 7.0: The Good, the AI, and the Still Missing AI on the couch: Anthropic gives Claude 20 hours of psychiatry IatroBench: Pre-Registered Evidence of Iatrogenic Harm from AI Safety Measures AI Agents Know About Supabase. They Don't Always Use It Right. The history and future of AI at Google, with Sundar Pichai Inside an AI‑enabled device code phishing campaign How Meta Used AI to Map Tribal Knowledge in Large-Scale Data Pipelines AI for Systems: Using LLMs to Optimize Database Query Execution Forecasting the Economic Effects of AI Introducing Tinker: Play with AI, bring your ideas to life AI sheds light on an ancient gaming mystery People really hate AI but not as much as Iran—or Democrats | Fortune What is an AI Product Engineer? Phoebe Gates wants her $185 million AI startup to succeed with 'no ties to my privilege or my last name': 'I have a chip on my shoulder' | Fortune
Generative AI Is Having Its Herbalife Moment
Matthew Hughes · 2026-06-19 · via Hacker News - Newest: "AI"

Over the past few weeks, I’ve noticed that TikTok has been serving me ads for Replit — one of the many vibe-coding startups that have emerged in the past couple of years, and that serve as a glorified wrapper for models from Anthropic, OpenAI, and Google.

Now, TikTok can be a weird place at times. It’s full of companies trying to sell things to an audience that can not — and will not — ever buy them. Things like industrial-grade glycine, graphite cubes, and lightly-used oil tankers.

I usually just laugh at those ads and move on with my day. And, in comparison, Replit isn’t as outlandishly batshit as the idea of someone trying to sell a graphite cube — the kind that looks like it might feel at home in a Soviet RBMK nuclear reactor — to a bunch of hyper-online gen-Z.

The ads — many of which were produced by influencers with brand deals, and can be found by searching “replit” and “#ad,” or #replitpartner — typically follow the same format. You have a beautiful person going about their day, having an idea, and then prompting it into existence with Replit.

The message is simple — you, yes you, can make software, and that software might make your life some level of better, or more convenient.

Or, that software might become the side-hustle that helps pay your rent, or even, if you’re lucky enough, makes you rich.

Where have we heard this before?

Around the 1920s, the world was introduced to the noxious and hateful idea of multi-level marketing. The way it works is simple — a company will have a product, like health supplements or plastic food containers, and they’ll get ordinary people to act as their marketers and salespeople.

There’s very little money in actually selling product. If you want to make real cash, you need to recruit other salespeople. Every new recruit — often referred to as the “downline” typically brings in a one-time bonus, as well as a cut of every bit of product they sell.

Obviously, those downlines now need their own downlines. And those third-generation downlines need their own downlines.

Obviously, this isn’t sustainable. Eventually, you run out of people. Kind of like a pyramid scheme.

Over the following century, the multi-level marketing industry changed. It globalized. We saw the emergence of new MLM companies spruiking wellness drinks with dubious health benefits, shampoos that make you go bald, and more. But while the product (which was never the point) changed, the basic model didn’t. Neither did the incentives for actually joining them.

Have you noticed that it’s never rich people that join MLM schemes? It’s always those on the bones of their arse. It’s why a lot of the people joining them are (at least, in the US) undocumented migrants who are otherwise locked out of the formal economy.

Nobody joins an MLM because they’re passionate about fucking tupperware or protein shakes, or the company manufacturing them. They join them because they believe that if they work hard enough, they can find the economic stability that otherwise eluded them, and perhaps something more.

Of course, only a small percentage of people who actually join them actually achieve that economic stability, and a smaller number still that “something more.”

So long as times are tough — that there’s people who feel alienated from the economic system — there will be people looking to take advantage of that alienation.

Jesus, just look at the crypto boom of the 2010s. I had a front-row seat for much of it, with my time at The Next Web coinciding with the frothiest, dumbest part of the era. Each day, I’d get around 250 pitches from founders and PR people in my inbox, all asking me to write about their clients or companies, and I’d wager that around 200 of them (or four-fifths) had something to do with crypto.

Tell me, do you think that the crypto boom would have happened if not for the fact that people saw a material decline in their economic fortunes and living standards after the global financial crisis, and that they didn’t see any hope of that changing?

FTX pitched itself to a mainstream audience, buying the naming rights to sports stadiums and spending big on a marketing campaign that targeted normal people, with Superbowl ads fronted with recognizable celebrities like Larry David.

Do you think that mainstream appeal would have been there — or would have been quite as strong — if not for the fact that people were broke, with their spending power eroded year-after-year as inflation chipped away at their stagnant wages? Would Paris Hilton have been invited to talk about NFTs on the Jimmy Fallon show, if not for the fact that the dire economic situation had created an opening for NFTs in the first place?

Things are fucked. More fucked than they’ve been in a long, long time.

What makes this moment even more dangerous than, say, the pandemic era, or the period after the global financial crisis, is that at least people believed that this too shall pass. That with vaccines and natural immunity, and sensible policy decisions, life will return to normal. That eventually, the banks will right themselves.

Right now, people — especially young people — are looking down the barrel of a stagnant job market that has decided it doesn’t need them. While AI is often touted as the excuse, it’s often just a cover for another simpler reason, like cutting costs.

Whatever. The fact is, the belief that AI can — and will — displace white-collar jobs is a lie that’s been accepted by the masses, in part because of the huckster-like triangulations of scumbags like Sam Altman and Dario Amodei, and in part because credulous fuckwits in the media have repeated them verbatim.

And I am concerned that the fear I’ve described is being exploited by companies like Replit and Cursor (which is also doing the exact same influencer marketing schtick, albeit not as aggressively as Replit), who are touting their services as a way for people to escape the precariousness of this current moment.

First, the idea that we’re about to see the emergence of a thriving cottage industry of apps, all created and marketed by non-coders is fucking ludicrous. Forgive the causeness of my language, but I have to be blunt.

Vibe-coded software is simply not good. Let’s suppose that someone deploys an app and there’s a critical security vulnerability that allows a threat actor to, say, exfiltrate all their customer information. How would they know? And if they became aware of it (presumably because said threat actor exploited said vulnerability), how would they fix it?

Also, would the person who developed the app know that, under legislation like GDPR, they can be financially liable for data breaches? Because they would be! And the whole point of the financial penalty system (at least, with respect to GDPR) is to be dissuasive — to act as a deterrent to other people who would be cavalier with other people’s data.

I can very easily imagine a national data protection authority — like the UK’s ICO — giving someone a massive, massive fine in order to dissuade other people from deploying their own AI-generated, unvetted slop code.

And then there’s the cost of actually building software.

Replit’s business model allows customers to buy one of two subscriptions, each providing a certain number of credits. When you run out, you can either buy more credits, or simply rack up additional charges and pay at the end of the billing cycle.

It’s entirely possible that someone will try to build their dream app, forget to cap their costs, and end up with a bill of hundreds or thousands of dollars. And no, that’s not an exaggeration.

I do not see how this is any different than, say, someone buying a starter kit from an MLM for a few grand. Both MLMs and vibe-coding startups that are marketing to consumers are charging their victims an upfront price, without making any guarantees that the investment will pay off.

Actually, that’s a lie. There is one important difference.

At least when you spunk cash on a starter kit for Herbalife, you know upfront how much it’s going to cost. By contrast, it is impossible how many tokens a LLM will burn when performing a particular coding task.

You simply cannot predict how much a certain action will cost — or whether the LLM will execute the task correctly, or whether you’ll need to re-prompt the model, and how much that second (or third, or fourth, or fifth) prompt will cost. You do not know whether one of those prompts will get stuck in a loop, burning tokens — and thus money — with nothing to show for it.

I’ll add that none of the TikTok adverts I’ve seen have mentioned the cost of compute. I’d wager that’s because if they were truthful about the costs of vibe coding, and the limitations of the technology, it would be a much harder sell.

Let’s imagine that someone — a non-coder introduced to Replit through TikTok — actually did build something. Realistically, how are they going to monetize that app? How are they going to scale it? How are they going to bring in customers?

I know I sound cynical, but I’ve spent the past decade-and-a-half reading Hacker News, with each day bringing a new “Show HN” post where someone announces their new app or website or service or whatever, and most of those have since faded into the ether, with the only evidence they ever existed being that introductory announcement.

Hell, as a journalist, I’ve been pitched tens of thousands of stories of the years from companies that no longer exist.

Building a tech company is hard! Even when you are a coder! And have capital! And a team of VCs backing you, each bringing their own technical and business expertise. For the vast majority of people, the odds of being a successful founder are as good as them being a professional soccer player.

It’s a dream — and it’s predatory to sell that dream to people through the medium of fucking TikTok adverts.

Incidentally, while I was finishing this newsletter, I decided to check the most recent posts on the Replit subreddit, only to find that someone was complaining about how a friend of their sister was being paid to promote Replit by falsely claiming that they “make 10k at month from home,” and that they landed their first tech job because of their Replit-made app.

I do not know how truthful that poster is, but I certainly found it to be an interesting coincidence.

And, honestly, it doesn’t matter.

I believe that vibe coding — irrespective of whether it’s useful for enterprises, which I doubt — is being marketed towards consumers in a deeply unethical way. One that’s worryingly reminiscent of multi-level marketing schemes like Herbalife and Amway, or the crypto grifts of the 2010s.

I believe that neither Replit, nor those posting sponsored content on behalf of Replit, are being candid about the costs of vibe-coding a business, or the likelihood of actually building a successful tech product with no technical expertise.

And I’m worried that this campaign will be successful in convincing many to part with their money, in the same way that other similar scams have thrived during hard times.

I believe that Replit’s decision to target younger people at a time when they’re struggling to find work, or are convinced that the future workplace has no use for them, is deeply predatory.

Any creator that promotes Replit without being transparent about the likelihood of building a million-dollar app, or about the costs of building software with AI, is either willingly complicit in a cynical, harmful scam, or otherwise promoting a technology that they themselves do not understand.

I ultimately believe that the weight of the blame lies on the shoulders of those within Replit who greenlit and funded this marketing campaign, and who knew exactly what they were doing.

Discussion about this post

Ready for more?