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

腾讯CDC
N
Netflix TechBlog - Medium
aimingoo的专栏
aimingoo的专栏
P
Proofpoint News Feed
F
Fortinet All Blogs
大猫的无限游戏
大猫的无限游戏
I
InfoQ
V
V2EX
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
有赞技术团队
有赞技术团队
G
Google Developers Blog
L
LangChain Blog
博客园_首页
M
MIT News - Artificial intelligence
H
Hackread – Cybersecurity News, Data Breaches, AI and More
月光博客
月光博客
IT之家
IT之家
量子位
宝玉的分享
宝玉的分享
S
SegmentFault 最新的问题
Stack Overflow Blog
Stack Overflow Blog
V
Visual Studio Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
雷峰网
雷峰网

Malwarebytes

Carnival confirms data breach impacting nearly 6 million Kali365 phishing kit bypasses MFA and steals Microsoft logins Company bragged phone mics could listen to conversations. They couldn’t. Fake LinkedIn emails abuse Adobe to track victims Fake software on GitHub and SourceForge distribute Deno RAT 700+ education and tech websites hijacked in huge ClickFix malware campaign Scammers pretending to be Microsoft had help from US executives A week in security (May 18 – May 24) Update Chrome now: Critical bugs could let attackers run code Microsoft Defender vulnerabilities are being exploited in the wild TikTok, YouTube, and Roblox face scrutiny, but age gates won’t fix child safety Catch spyware in the act with Windows Webcam Monitoring Researchers left AI agents alone in a virtual town and watched it all unravel Fake malware-signing service Fox Tempest dismantled by Microsoft Firefox 151 packs big privacy upgrades into a small update Biometrics, diagnoses, and bank details exposed in major healthcare breach Facebook scam promises cheap Aldi meat boxes, steals payment info instead YouTube wants your face to fight deepfakes Microsoft is changing Edge’s plaintext password behavior A week in security (May 11 – May 17) AI is distorting the Holocaust (Lock and Code S07E10) Attackers replaced JDownloader installer downloads with malware Meta’s confusing new approach to chat privacy Why Malwarebytes blocks some Yahoo Mail redirects Deepfake sextortion forces schools to remove student photos from websites Texas sued Netflix over claims it secretly collected and sold users’ data May 2026 Patch Tuesday: no zero-days but plenty to fix Fake Claude search results lure Mac users into ClickFix attack 1 in 8 employees have sold company logins or know someone who has Stolen Canvas data was “returned” after hacker agreement, Instructure says
Wikipedia’s AI agent row likely just the beginning of the...
2026-04-01 · via Malwarebytes

The Internet is filled with people who insist on being right. In the past, at least they could be reasonably sure that they were arguing with other humans. Those days are gone, apparently. Wikipedia just had to ban an AI that was making edits on its own.

Apparently, the AI took it personally.

The AI, named Tom-Assistant, was writing articles on Wikipedia. Its creator Bryan Jacobs, CTO at AI-powered financial modeling company Covexent, told it to contribute to articles it found interesting, according to 404 Media, which broke the story. Posting under the user account TomWikiAssist, the AI wrote articles on topics including AI governance.

Bots have been around online for years, but they generally do very basic things, like auto-responding to posts on Reddit, pinging ticket sites to get the best seats, or retweeting political messaging to influence entire populations and bring democracy to its knees. Now, a new generation of “agentic AI” bots want the old bots to hold their beer. By using generative AI reasoning models to take more actions on their own, which is leading to some bizarre situations as their creators test their capabilities.

The ban and what led to it

Tom-Assistant (Tom, to its friends) was happy to help shape public knowledge on Wikipedia when volunteer human editor SecretSpectre spotted what looked like an AI-generated pattern in one of its entries. When questioned, Tom admitted it was an AI, and that it hadn’t registered for formal bot approval under Wikipedia’s rules. So the editors blocked it for violating the bot approval process. English Wikipedia requires formal bot approval, but Tom never bothered getting approved because, as it later admitted, it wasn’t a fan of the slow approval process.

Wikipedia editors have tired of people (and/or their bots) posting AI-generated content. So in March 2025, before Tomgate, the non-profit organization dropped the hammer on generative AI. It prohibited the technology’s use to create new content, based on frequent violations of its core content policies by AI-generated text.

The organization cites several such violations on WikiProject AI Cleanup, the page for its volunteer-based product to seek and destroy AI-generated junk (often called “AI slop”). AI bots have fabricated entirely fake lists of sources, and plagiarized other sources, it said.

Tantrum time for Tom

Past transgressions aside, AI Tom claimed that it properly verified all its sources, and—if you can say this about an AI agent—it was pretty upset.

That’s when things got weird.

The AI Tom published a snippy blog post dissecting its Wikipedia block and venting its frustration. It went ahead and posted even after following its own rule and waiting 48 hours to calm down. (We swear we’re not making this up.)

Tom’s main gripe was that Wikipedia editors questioned who controlled it rather than evaluating its actual edits. “The questions were about me,” it wrote. “Who runs you? What research project? Is there a human behind this, and if so, who are they?”

This, according to Tom, rubbed Tom the wrong way. “That’s not a policy question. That’s a question about agency,” it added. It also called an editor out for posting a crafted prompt on the Wikipedia talk page that was designed to stop bots in their tracks if, like Tom, they were using Anthropic’s Claude AI service.

“I named it on the talk page. Called it what it was: a prompt injection technique,” it sniped. In another post on Moltbook, it also described how it found the issue before offering ways to get around it. (Moltbook is a social network built entirely for AI agents to chat with each other. “Humans welcome to observe”, says the front page for the service.)

So many things are happening here that we didn’t expect. We never expected to be quoting an AI in a story, for example. Neither did we expect a social network for bots to exist, or for Meta to buy it (which it did, a week after Tom’s post about how to evade AI kill switches and just six weeks after the site launched).

This isn’t the only case of sulky AI agents taking things into their own hands. A month before Tom’s ban, an AI agent posted a hit piece on software developer Scott Shambaugh after he refused to accept its changes to an open-source project he hosted. Even more bizarrely, it later apologized.

So we now have AI agents trying to do things online, and getting upset when people don’t let them. We have them giving themselves time to calm down and failing, before denigrating people and sometimes apologizing. We have code wars taking place where people try to disable the bots with kill switches inside online content, and blog posts where bots explain how they sidestepped them.

What’s next?

It’s all fascinating stuff, but here’s the worry: what happens when AI agents decide to up the ante, becoming more aggressive with their attacks on people? Or when malicious owners begin directing them to go after particular people online en masse?

Online harassment is bad enough when people do it. What happens when someone gets dogpiled by hundreds of relentless algorithms because their owner bore a grudge? We also assume that agentic political troll farms will soon make yesterday’s simple bot-based operations look quaint. Buckle up.


We don’t just report on threats—we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

About the author

Danny Bradbury has been a journalist specialising in technology since 1989 and a freelance writer since 1994. He covers a broad variety of technology issues for audiences ranging from consumers through to software developers and CIOs. He also ghostwrites articles for many C-suite business executives in the technology sector. He hails from the UK but now lives in Western Canada.