Technologies
Clawdbot, Moltbot, OpenClaw? The Wild Ride of This Viral AI Agent
An AI tool that can text you and use your apps blew up online. One week and two rebrands later, the question remains: Should you actually use it?
Five days. That’s really all it took for Clawdbot — an open-source AI assistant that promises to actually do things on your computer, not just chat — to go viral, implode, rebrand (twice!) and emerge as OpenClaw. Bruised but still breathing as a beloved crustacean.
If you blinked over the past few days, you may have missed crypto scammers hijacking X accounts, a panicked founder accidentally giving away his personal GitHub handle to bots and a lobster mascot that briefly sprouted a disturbingly handsome human face. Oh, and somewhere in the chaos, the AI developer Anthropic sent a polite email asking them to please, for the love of trademarks, change the name.
Welcome to OpenClaw. Formerly Clawdbot and briefly known as Moltbot, it’s the same AI assistant under a newer, sturdier shell. And boy, does this lobster have lore.
What even is OpenClaw? And why should you care?
Here’s the pitch that had tech X (the platform formerly known as Twitter) losing its mind: Imagine an AI assistant that doesn’t just chat; it does stuff. Real stuff. On your computer. Through the apps you use.
OpenClaw lives where you actually communicate, like WhatsApp, Telegram, iMessage, Slack, Discord, Signal — you name it. You text it like you’d text a friend, and it remembers your conversations from weeks ago and can send you proactive reminders. And if you give it permission, it can automate tasks, run commands and basically act like a digital personal assistant that never sleeps. Unlike its founder.
Created by Peter Steinberger, an Austrian developer who sold his company PSPDFKit for around $119 million and then got bored enough to build this, OpenClaw represents what a lot of people thought Siri should have been all along. Not a voice-activated party trick, but an actual assistant that learns, remembers and gets things done. (CNET reached out to Steinberger for comment on this story.)
OpenClaw doesn’t require any specific hardware to run, though the Mac Mini seems popular. The core idea is that OpenClaw itself mostly routes messages to AI companies’ servers and calls APIs, and the heavy AI work happens on whichever LLM you select: Claude, ChatGPT, Gemini.
Hardware only becomes a bigger conversation if you want to run large local models or do heavy automation. That’s where powerful machines, like the Mac Mini, are often brought into the conversation. But that’s not a requirement.
The project launched about three weeks ago and hit 9,000 GitHub stars in 24 hours. By the time the dust settled late last week, it had rocketed past 60,000 stars, with everyone from AI researcher Andrej Karpathy to investor (and White House AI and crypto czar) David Sacks singing its praises. MacStories called it «the future of personal AI assistants.»
Then things got weird.
The rename that broke the internet (twice)
Ostensibly, last weekend, Anthropic slid into Steinberger’s inbox to point out that «Clawd» (the assistant’s name) and «Clawdbot» (the project name) were maybe just a little too similar to its own AI, Claude.
«As a trademark owner, we have an obligation to protect our marks — so we reached out directly to the creator of Clawdbot about this,» a representative from Anthropic said in an email statement to CNET.
By 3:38 a.m. US Eastern Time on Tuesday, Jan. 27, Steinberger made his call: «@Moltbot it is.»
What happened next, according to Steinberger’s posts on X and the previous MoltBot blog, was like a digital heist movie, except everyone was a bot and the getaway cars were social media handles.
Within seconds — literally, seconds — automated bots sniped the @clawdbot handle. The squatter immediately posted a crypto wallet address. Meanwhile, in a sleep-deprived panic, Steinberger accidentally renamed his personal GitHub account instead of the organization’s account. Bots grabbed «steipete» before he could blink. He said both crises required him to call in contacts at X and GitHub to make fixes.
Then there was what the creators dubbed «the Handsome Molty incident.» Steinberger instructed Molty (the AI) to redesign its own icon. In one memorable attempt to make the mascot look «5 years older,» the AI generated a human man’s face grafted onto a lobster body. The internet turned it into a meme (a la Handsome Squidward) within minutes.
Fake profiles claiming to be «Head of Engineering at Clawdbot» shilled crypto schemes. A fake $CLAWD cryptocurrency briefly hit a $16 million market cap before crashing over 90%. «Any project that lists me as coin owner is a SCAM,» Steinberger posted on X, exasperated, to thousands of increasingly confused followers.
To continue the chaotic saga that has unfolded over the past week, as of Jan. 30, the project has settled on renaming Moltbot to OpenClaw, bringing in «Open» for open source and «Claw» for its lobster heritage. The name change makes sense due to those considerations. However, the reasoning is actually much simpler: Steinberger just didn’t like the name.
What made this AI tool go viral
Strip away the chaos, and OpenClaw is genuinely impressive.
Most AI tools are basically the same. You open a website, type a question or query, wait for it to generate, copy the answer, paste it somewhere else, etc., etc. OpenClaw wants to flip that script by having the assistant inside your existing conversations. You’re already in WhatsApp or iMessage, so why not just text it like you’d text a coworker?
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The killer features? Well, there are three main things.
For one, persistent memory. OpenClaw doesn’t forget everything when you close the app. It learns your preferences, tracks ongoing projects and actually remembers that conversation you had last Tuesday.
There are also proactive notifications. It can message you first when something matters, such as daily briefings, deadline reminders and email triage summaries. You can wake up to a text saying, «Here are your three priorities today,» without having to ask the AI first.
Finally, there’s real automation. Depending on your setup, it can schedule tasks, fill forms, organize files, search your email, generate reports and control smart home devices. People reported using it for everything from inbox cleanup to research threads that span days, and from habit tracking to automated weekly recaps of what they shipped. The use cases seem to keep multiplying because once it’s wired into your actual tools (calendar, notes, email), it stops feeling like software and is just part of your routine.
Should you actually use this thing?
Time for real talk. OpenClaw is not a polished, enterprise-ready product with vendor support and compliance paperwork — which is something Steinberger admits. It’s a fast-moving, open-source project that just survived a near-death experience involving trademark lawyers, crypto scammers and catastrophically exposed databases. Whew.
So, you might be wondering, through all this hoopla, whether OpenClaw is even something you should actually try. Sure, this tool remembers information across weeks, works between apps and systems and provides proactive notifications. But it’s got rough edges. This isn’t a tool for you if you need something that «just works» and doesn’t have complicated installation steps.
And you probably don’t want to take this on if you don’t want to think about — and don’t deeply understand — cybersecurity.
Key security risks to note
Security experts have raised red flags about OpenClaw’s safety as it grows in popularity. Because the agent is designed to run locally and interact with emails, files and credentials, even small setup mistakes can have big consequences.
In recent days, researchers spotted numerous publicly accessible OpenClaw deployments with little or no authentication, exposing API keys, chat logs and system access to anyone who stumbled across them.
Some of the most visible security concerns have been social rather than technical, including fake Clawdbot/Moltbot/OpenClaw downloads and hijacked accounts used to spread malware or scams. While developers have moved quickly to patch specific flaws, security analysts say OpenClaw’s turbulent debut highlights a larger issue facing AI agents: As they become more autonomous and more powerful, the security risks also scale just as fast.
Roy Akerman, head of cloud and identity security at Silverfort, an identity security platform, said in an email to CNET that the risk of a tool like OpenClaw isn’t that it’s overtly malicious. What’s risky is that it continues to act under a legitimate human identity, which can blur the lines between a user and the machine acting on their behalf.
«When an AI agent continues to operate using a human’s credentials, after the human has logged off, it becomes a hybrid identity that most security controls aren’t designed to recognize or govern,» Akerman said. «Organizations shouldn’t try to block these tools outright, but they do need to change their posture, treat autonomous agents as identities, limit their privileges and monitor behavior continuously, not just logins.»
The little lobster that molted (and kept going)
According to Steinberger, «Molting is what lobsters do to grow.» They shed their old shell and emerge bigger: from Clawdbot to Moltbot to OpenClaw.
OpenClaw is the same software as Clawdbot, offering the same impressive engineering and vision of what personal AI assistants could be. But the past almost-120 hours forced it to grow up fast, dealing with security vulnerabilities, battening down authentication, and learning that viral success attracts not just users but scammers, squatters and, yes, intellectual property lawyers.
Through all of this, OpenClaw is still standing. Discord is still buzzing. GitHub stars keep climbing. And somewhere in Vienna (or maybe London), Peter Steinberger is probably still fending off DMs from people asking if he’s launching a crypto token. (He’s not. Please stop asking.)
Want to try OpenClaw yourself? Head to openclaw.ai for documentation, installation guides and, most importantly, a security checklist.
Just maybe use a spare laptop. And definitely don’t name your project after anyone’s trademarked AI model. Turns out that matters.
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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