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Red Hat’s OpenClaw maintainer just made enterprise Claw deployments a lot safer

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On Tuesday, Red Hat principal software engineer Sally O’Malley released a new open source tool called Tank OS to make it easier to deploy and manage OpenClaw agents more safely.  

“This was a fun project that I put together on the weekend that I knew would be a really good fit for AI and where we’re going,” she told TechCrunch, adding that she wanted to give it “to the masses.”

Tank OS is geared toward power users looking to run OpenClaw on their own computers and toward IT pros managing fleets of corporate OpenClaw agents. It makes OpenClaw safer and easier to maintain en masse.

Countless people, companies, and startups are already inventing better ways to work with OpenClaw — the open source project that installs an AI agent on a local computer. There is also a growing number of startups building competing claw alternatives that they say are safer (like NanoClaw). 

What makes O’Malley’s project notable is that she is an OpenClaw maintainer. That means she’s among the select software engineers working with creator Peter Steinberger to decide which features and bugs get worked on. In her case, she focuses on making OpenClaw work better in enterprise use cases, and with Red Hat’s various flavors of the Linux operating system. (While Steinberger was hired by OpenAI, he still leads the independent open source OpenClaw project.)

O’Malley joined OpenClaw because she sees it working to “enable everyone to run AI in a safe way, that’s open,” she said. 

But she got to thinking about what will happen when OpenClaw invades an enterprise and decided to build a tool for that eventuality. She began with an open source container tool called Podman, created by a colleague at Red Hat. Containers are a way to run apps separately from the underlying computer, with everything the app needs to run, bundled together. They can run a Linux app on a Windows or Mac machine, for instance. 

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Podman is a particularly secure way to do this because it’s “rootless,” meaning it doesn’t give the containers any privileges from the underlying machine, Red Hat says.

Tank OS loads OpenClaw onto Red Hat’s Fedora Linux OS in a Podman container and makes that container a bootable image, meaning it will run and launch OpenClaw when you start the computer. 

Her tool includes everything needed to make OpenClaw useful without human oversight, like state (the part that allows it to remember); the ability to store API keys (the credentials for accessing subscriptions and services); and other features.

Users can run multiple Tank OS instances on a machine to do different tasks, never sharing passwords or credentials between them, and no OpenClaw instance can gain access to anything else running on the computer. 

While O’Malley knows that the OpenClaw project is working to make the agent safer, she says that “it’s an incredibly powerful application,” but can also be “dangerous” if not configured properly. “It’s not a tool that you can use easily unless you do have some sort of technical experience,” she said. 

Stories abound, such as the Meta AI security researcher whose Claw started deleting all of her work email, or an agent that downloaded in plain text all of a user’s WhatsApp DMs. There’s also a growing crop of malware aimed at OpenClaw users. 

To be sure, Tank OS isn’t really for techno novices either, she says. You have to be comfortable installing and maintaining software on your computer, she says. Tank OS is also not the only OpenClaw implementation working in containers. NanoClaw, for instance, is doing a similar thing with well-known container company Docker.

But Tank OS is intended to be especially useful for IT pros (aka, Red Hat’s main customers) who may one day manage fleets of OpenClaw agents on corporate computers. It allows them to update the agents the same way they already manage other containers. 

“My role within OpenClaw is really my interest in it,” O’Malley said. “How it’s going to look scaled out when there are millions of these autonomous agents talking to one another.” 

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Planned Amazon data center could become the biggest climate polluter in the U.S.

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As part of a planned data center in Pecos County, Texas, Amazon is investing in an on-site power plant that could become the largest source of climate pollution in the United States, according to The New York Times.

The NYT says the plant would burn natural gas and is permitted to release 33 million tons of carbon dioxide per year — more than any other power plant in the U.S.

In a statement, an Amazon spokesperson confirmed that the data center will “be powered by new on-site generation that won’t raise electricity costs for Texas families.” (Data centers face growing political opposition for a number of reasons, including their effect on electricity costs.)

AI has already had a significant impact on Amazon’s carbon emissions, which it reported were up 16% last year — the wrong direction for a company that pledged to eliminate its carbon emissions by 2040. And that could get worse as Amazon and tech companies back the development of huge natural gas plants to support their power-hungry data centers.

The Amazon spokesperson said, “The world looks different now than when we co-founded the climate pledge,” while also claiming, “Our commitment hasn’t changed.”

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OpenAI acquires presentation startup NextSlide

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NextSlide recently announced that it’s joining OpenAI, with the presentation startup’s team members now working on ChatGPT.

The NextSlide website currently displays a note from founder Ahmed Beshry describing the startup’s product as one “that could turn prompts, notes, documents, or research into a polished, editable presentation.”

The ultimate goal, Beshry said, was “to make visual communication more accessible and help more people express their ideas clearly.” So by joining OpenAI, the team will “continue pursuing that same mission: building AI products that help people create, communicate, and turn their ideas into meaningful work.”

The financial terms of the deal were not disclosed. In a note on LinkedIn, Beshry said the announcement is coming “a few months late,” as the acquisition took place “earlier this year.”

Beshry was previously a co-founder at Caper AI, a smart cart/cashier-less checkout startup acquired by Instacart in 2021.

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X replaces ‘misaligned’ revenue sharing program with Original Content Rewards

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X, the social media platform now owned by Elon Musk’s SpaceX, is shaking up how it pays influencers and creators.

In announcing the change, the company said it will be winding down its existing Revenue Sharing program and replacing it with something called Original Content Rewards. X will stop accepting new Revenue Sharing participants, while existing participants will continue earning money through September 7.

Then, starting on September 8, they’ll be able to apply for the new program. Participants will still need to subscribe to one of X’s Premium tiers, and there will be qualifying thresholds for follower count (500 verified followers) and impressions (500,000 Home Timeline impressions from verified users in 90 days), but it sounds like the big change is the emphasis on originality. 

What counts as original content? X said it can include original reporting and analysis, photos and videos created by the poster, or memes and graphics they’ve designed themselves. Commentary also counts, but “if your content regularly incorporates material created by others, you’ll need to contribute meaningful original value for it to qualify under our original content guidelines.”

The company also included examples of posts that won’t count as original, such as those just copied over from another account, downloaded from one account and re-uploaded to your own, or reposting content “without meaningful transformation.”

This announcement follows repeated attempts by X to reform the Revenue Sharing program, for example reducing payments to aggregators and “clickbait” accounts in April. But these efforts have also prompted complaints from popular accounts profiting from the current system; Musk even reversed some of those changes (giving a creator’s local audience more weight when calculating payouts) after a backlash.

In a post about the new changes, X’s Allegra Jacchia wrote that the existing program “had reached a point where its incentives were misaligned.”

“Creators should be focused on bringing net new content to the platform instead of maximizing payouts,” she said. “We could have kept adding more rules and exceptions, but ultimately the better decision was to start fresh and build a program designed from day one to reward originality.”

Jacchia added that X be “continue refining the program, improving our models, and raising the bar over time.”

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