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LLMs respond differently to harmful prompts when AI watermarking is used
In response to a new European Union law, AI platforms are implementing new schemes for watermarking the content they generate. Anthropic recently disclosed its future Claude models will use SynthID-Text, an approach Google created and released as open source. It uses a secret key that subtly changes the process a model uses for choosing the next word in a sentence. Whereas a top next word choice might be “cloudy,” the key might change it to “overcast.” Anyone who knows the key can determine if it was generated by the platform using it.
New research shows that SynthID-Text can change not just word selection but also the tools a model invokes and the chances it will adhere to or disregard safety guardrails it has been trained to follow. The threat can become greater in the face of an adversarial prompt, in which an attacker attempts to cause a model to carry out a harmful action, such as revealing a password or other sensitive information. Instructions that normally wouldn’t be followed will, in some cases, be performed once the watermarking is deployed. The finding underscores the need for developers to thoroughly test how their LLMs and agents behave when watermarking is in place.
Changing safety behavior“As compared to the same models without watermarking, it is definitely going to change their behavior, especially when we place it under adversarial conditions, or we make these models call tools when they’re powering an agent,” Andrea Siposova, an AI security researcher at Lasso Security, told Ars. “Watermarking is made to not be perceptible to a reader, but we know that when we are changing anything about what the model is generating, it is going to cause some tradeoffs, it’s going to show up somewhere.”
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Anthropic tries to make Claude stickier with launch of Docs and Slides
Anthropic is equipping its Claude AI assistant for more productivity work with the launch of Claude Docs and Slides.
While it’s already possible to create documents such as Microsoft Word and Google Docs files from Claude chats, the latest update, announced Wednesday, brings a rich-text editor directly into Claude.
Users ask the AI assistant to draft a document or slides via the chat interface, and Claude will ask clarifying questions before starting work. It will also leave comments to explain its choices.
Claude Docs files are then stored in the Artifacts tab and can be exported as Word, PDF, Google Docs, or markdown files. Documents can be shared with colleagues for real-time collaboration.
Anthropic
“Strategically, this signals Claude moving from an AI assistant into an agentic platform meant for full lifecycle of knowledge work,” said Arun Chandrasekaran, Distinguished VP analyst at Gartner.
He anticipates early user demand around “recurring, template-driven work,” such as status reports, board decks, and data-to-story reports.
“The likely near-term outcome isn’t wholesale replacement of alternative digital workplace tools, but it positions Anthropic as an entry point for workflows historically created in third-party tools,” said Chandrasekaran.
Claude Docs usage counts towards a customer’s Claude usage limits, and larger requests such as drafting a document with several sources takes up more of the limit. There are currently feature limitations, with no version history, access levels, or external sharing on Team and Enterprise pans. It’s also unavailable for customers that use “customer-managed encryption keys (CMEK), zero data retention (ZDR), or a HIPAA-ready configuration,” according to Claude’s support site.
Claude Docs and Slides are available in beta now on paid plans, rolling out to Pro and Max plans first. The feature is turned off by default for enterprise plans.
Anthropic
All of the major AI model providers are seeking ways to make their products stickier within customer organizations, said Jack Gold, principal analyst at J. Gold Associates. Some have targeted coding agents, while others, particularly Microsoft and Google, have AI assistants and agents that are connected into existing office productivity tools.
Microsoft’s Copilot is embedded across its Office suite, for instance, although users can also create documents directly from the Microsoft 365 Copilot chat interface.
“Microsoft and Google are bringing AI deeper into established productivity environments, while Anthropic is bringing more of the productivity environment into AI,” said Maria Bell, senior research analyst at FDM CCS Insight. “Over time, the competition may increasingly be over which becomes the primary interface through which knowledge workers get work done.”
Early findings of FDM CCS Insight’s ‘2026 Employee Workplace Technology Survey’ show that show that around half of employees that use generative AI at work do so to create or edit reports and documents.
It’s unlikely that native document editing features in Claude will result in a large-scale move from Microsoft or Google’s productivity suites, analysts say.
The updates to Claude this week have the potential to help users get more done, said Gold, “but it’s unclear how many users that already have productivity suites in place will choose to move to other tools,” even if they prefer Claude for its AI capabilities.
“The fundamental question is, if I am used to certain tools and they work for me, am I willing to change for the promise of working better? Not sure that will be a winning strategy,” he said.
“Microsoft and Google are deeply embedded in how people already work, and users have spent years becoming comfortable with their products and workflows,” said Bell.
“They are also increasingly bringing access to powerful AI models directly into those familiar environments. Anthropic therefore must do more than match document-creation features; it has to offer an experience compelling enough for users to build new habits around Claude,” she said.
As well as Anthropic’s Claude, it has long been rumored that OpenAI plans to build its own native productivity tools in ChatGPT that would bring it into more direct competition with Microsoft and other incumbent office software vendors.
Anthropic also announced that users can now invoke Claude Design in an ordinary chat. Claude Design, which generates visual outputs such as slides and prototypes, was previously available as a separate tool within the Claude app.
In addition, Claude Cowork — which can perform multiple-stage tasks — and the regular Claude chat interface have now been combined, with Claude determining how to handle a request. This removes the need for users to decide which tool to use for a particular task, according to Anthropic. It’s not clear exactly how Anthropic decides where to route a request, however. Cowork queries are generally more token-intensive than the core chat interface.
“Claude can now figure out what a task needs, so what Cowork and Design can do is available from any conversation, with the context, skills, and connectors you already have,” the company said in a blog post.
The new Claude experience will roll out gradually, starting with Pro and Max customers. Anthropic said it will alert Claude Enterprise customers before any changes are made to their account.
Claude Enterprise costs $20 per user each month alongside consumption-based pricing.
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Will Apple enter the server business?
In a world of speculation, this week’s most interesting rumor says Apple may plan to enter the server business once again, with powerful systems running its own Apple Silicon chips.
It’s hard to dismiss the claims, particularly as Apple is already in the server business, with its Texas factory manufacturing servers for its Private Cloud Compute (PCC) cloud intelligence system. While those servers are only used internally —or externally if installed at third-party data centers for use with Apple’s ecosystem of products — they are still servers.
Apple is already in the server businessIt’s also a business Apple has been in before. Many years ago, around 2002, I visited Apple in Paris, where the company demonstrated its Xserve and Xserve RAID systems. These were particularly aimed at the video and music industries and became quite widely used in those sectors. Apple discontinued Xserve in 2011, because the product sat outside its broad consumer-focused strategy.
Things were different then. You see, today’s Apple has billions of users. It has a fast-growing reach into enterprise tech — SAP recently updated its fleet of 60,000 Macs to macOS 27 on the very day the OS shipped, and there are hundreds of thousands of Macs in use at businesses worldwide. Apple has hundreds of millions of iPhones in active use across business. Apple even has the silicon to power these things.
The Apple Silicon advantageYou can’t ignore the computational advantage of Apple Silicon. The first leaked benchmarks for the M5 Ultra chip used in the new Mac Studio are incredibly impressive, with multi-core performance at an astonishing 52,516. That’s amazing performance from a Mac that costs an estimated 8 cents an hour to run at full capacity.
Now imagine that price/performance ratio stashed in a server.
You don’t even need to imagine it, because MacStadium, AWS, and others already use Macs in server farms, with great success. MacStadium CTO Chris Chapman once told me that Apple Silicon is so power efficient his data centers would tell him the Macs he had racked with them were not using enough power for the space. (Data centers sell space by the square foot and calculate energy costs within that calculation.)
Making cloud cheaper and more secureThe computational performance per watt is an advantage to any user, but the cost benefits rack up pretty fast when you have a thousand machines racked up on the data farm. Apple even has a server operating system waiting in the wings — or did until it stopped offering macOS Server four years ago.
Apple’s existing server production is focused on Private Cloud Compute. That system is impressive, (a) because Apple has opened it up to security experts to confirm it is secure, and (b) because it delivers data and privacy security equal to what its end-user platforms provide.
But, as data centers blossom across Terra Firma, there’s a growing recognition of the need for sovereign AI, on-premises AI, and private AI. Think of it this way: We already know Macs can run some of the world’s most powerful LLMs very, very well. What’s wrong with introducing Apple Silicon-based servers to do the same thing? These things could even offer companies access to their own white-label private builds of Apple Intelligence, though I consider that unlikely.
Why the speculation makes sense, and why it doesn’tSo, I see lots of reasons why speculation that Apple may re-enter the server market makes sense — though it may not be in a huge hurry, as the original claim is that these servers will run M8 Ultra chips. (Mark Gurman thinks it may be an M7 Ultra).
Of course, speculation and conversation don’t always become fact. Merely because Apple is talking about servers again doesn’t mean it will advance those plans.
Former Apple business-focused product marketing executive Todd Dailey doubts these plans. He says Apple is far more focused on consumer markets than enterprise.
He also points out that if it were to offer servers, the company would need to consider providing same-day tech support and more flexibility around OS upgrades, adding that the business may not be big enough to justify the cost of implementing the plan.
That doesn’t mean Apple isn’t considering it, just that once you bounce the idea through a few real-world weeds there may be obstacles to making it happen.
Is it time for iCloud Ultra?I do think there are signs Apple is taking enterprise markets more seriously. I also think that as PCC deployment expands, it makes sense for Apple’s server teams to build a product road map for the future of PCC servers like any other Apple product, even if they are only used to support its own server-side AI.
But I also think that if the company were to go ahead to make this happen, the solution would be aimed at developers and businesses seeking a uniquely private way to deploy sophisticated AI outside of the thrall of the frontier models, chipping a little more business away from those over-leveraged entities as it does.
The thing is, if that’s the case, then is it servers Apple is thinking of building, or server farms offering hosted services for a price? An iCloud Ultra service for developers and enterprise users may perhaps make more sense. I guess we’ll have to wait and see.
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