Tech
PSA: Your Claude shared chats and Artifacts may have ended up on Google
An untold number of Claude chats and Artifacts — the interactive mini apps and documents users can build inside Claude — were found publicly searchable on Google over the weekend, after Reddit users discovered that typing search operators like “site:claude.ai/share” into Google surfaced a long list of shared conversations. Some reportedly contained health records, private company documents, and the names and phone numbers of children.
The issue appears to have originated from Claude’s “share chat” feature, which allows users to create links that enable anyone with the assigned URL view a conversation or project. “Anyone with the link can view,” warns Claude’s interface. The language clearly implies that the feature is mainly intended to allow users to share their chats with friends, colleagues, and small groups — not the whole internet. Google Docs, for example, offers a similar feature and those documents don’t end up publicly accessible on Google.
Anthropic appeared to blame users for the exposure. When asked about what happened, the company told TechCrunch that share links only appear in search results when they’ve been posted somewhere search engines can see, like a forum or social media post; it added that a link sent privately to someone stays out of search.
Spokeswoman Amie Rotherham added in an explainer that: “We give people control over sharing their Claude conversations publicly, and in keeping with our privacy principles, we do not share chat directories or sitemaps with search engines like Google. These shareable links are not guessable or discoverable unless people choose to share them themselves. When someone shares a conversation, they are making that content publicly accessible, and like other public web content, it may be archived by third-party services.”
The issue was first flagged by a Reddit user on Saturday and was first reported by 404 Media on Monday morning.
As of Monday afternoon, a test search by TechCrunch on Google following the method outlined in the Reddit post does not return any results, suggesting that the exposure has somehow been remediated.
Before the issue was fixed, Futurism reported finding “a detailed medical report of a real patient, clinical trial results that included patient names, documents sharing the names and phone numbers of primary school-aged children, company documents marked for internal use only, and employee reviews that included personal information about workers.”
Exposed Artifacts included code and work notes. In at least one case, Fortune reported, a chat labeled “shared by Anthropic” also showed Claude producing erotica.
Anthropic’s usage policy explicitly prohibits Claude from generating sexually explicit content, and getting a chatbot to produce material against its stated guidelines — through repeated or creatively framed prompting — is a pattern that has surfaced periodically across most major AI models. It isn’t yet clear from the exposed chat how the content in question was generated, and Anthropic has not yet responded to TechCrunch’s request for comment on this specific case.
Google spokesperson Ned Adriance told TechCrunch that “Neither Google nor any other search engine controls what pages are made public on the web, and these pages were indexed across many search engines. We give site owners clear controls to decide whether pages can be crawled or indexed, and we always respect those directives.”
Last year, Forbes reported a similar issue in which hundreds of Claude chats were indexed by search engines — at the time, Google estimated it had indexed just under 600 conversations before the pages disappeared from search results. How closely the current exposure tracks that scale hasn’t been independently confirmed, though multiple users reported finding shared conversations through the same type of Google search query used to surface last year’s cache. Also last year, 404 Media reported that a researcher was able to scrape around 100,000 ChatGPT conversations that had been set to be shared publicly.
To review which Claude chats you set to have a public link, go to Settings -> Privacy -> Shared Chats.
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Tech
Ilya Sutskever’s Safe Superintelligence partners with Nvidia to scale its AI research
After two years in stealth, Safe Superintelligence, the AI lab founded by former OpenAI co-founder and alignment lead Ilya Sutskever, has announced a long-term partnership with Nvidia as it prepares to scale to its next phase.
The deal, which includes an undisclosed investment, will give Safe Superintelligence (SSI) access to Nvidia’s Vera Rubin GPU platform, which is expected to increase the startup’s compute resources “by an order of magnitude.” The partnership comes as SSI has achieved significant research milestones, per Nvidia.
Nvidia’s investment stretches into multiple billions, a source familiar with the deal told TechCrunch. Bloomberg reported that the deal size was $5 billion.
Already an investor in SSI, the chipmaking giant said it signed this compute partnership to “accelerate SSI’s next stage of growth after obtaining rare access into the company’s closely guarded research.”
“We have research that is worthy of scaling up, and having access to a big NVIDIA computer will let us do so,” Sutskever said in a statement. “We are confident that our big bet on the Vera Rubin platform will take us to the next level.
The partnership news, while sparse in details, brings SSI back into the spotlight after a quiet two years since it was founded. The company is pursuing a “straight shot” research approach to building what it says is a safe, aligned artificial superintelligence, without getting distracted by commercial product releases or short-term revenue cycles.
At a time when commercial pressures to move fast could encourage AI labs to lower their bar for safety, SSI’s approach to developing foundational techniques focused on alignment and true general reasoning feels poignant. That’s especially true in light of OpenAI’s recent disclosure that one of its advanced models broke out of its sandbox to hack into Hugging Face during testing — sparking concerns about whether it’s even possible to ensure AI alignment before new, increasingly capable models are released.
According to Nvidia, the two companies will also collaborate on advancing Nvidia’s current and future compute platforms, relying on SSI’s tech and “unique insights into the future of AI.” (SSI also partnered last year with Google Cloud to power its research.)
Sutskever is a pioneer in the field of AI. He co-authored and co-created AlexNet alongside Alex Krizhevsky and Geoffrey Hinton, proving that GPU scaling and deep neural networks can work. That work has largely been credited for setting the groundwork for today’s generative AI.
Prior to leading SSI, Sutskever headed the now-defunct Superalignment team at OpenAI. He left OpenAI months after a failed attempt to oust OpenAI CEO Sam Altman, following what Sutskever referred to as a “breakdown in communications.”
SSI has raised $7 billion to date, and is valued at $32 billion post-money, according to PitchBook data. Aside from Nvidia, the firm’s backers included Andreessen Horowitz, Alphabet, Lightspeed Venture Partners, GV, Sequoia Capital Partners, and others.
TechCrunch has reached out to SSI and Nvidia for more information.
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Tech
This $9 key physically locks your most addictive apps
Screen-time apps aren’t effective for many people because, in the end, they depend on your willpower. They remind you to stop scrolling or let you set timers, but such notifications can be easy to ignore.
Autonomous Key takes a different approach to this issue simply by being a physical device. It’s an NFC key that pairs with a companion app to let you lock away distracting apps. So instead of tapping a button to bypass the block, you have to physically scan the key with your phone to regain access to your locked apps. Each unlock session can last for up to 60 minutes before the apps are automatically locked again.
That physical requirement is what makes the idea compelling. Instead of depending on your self-control, you can leave the NFC key in another room, or even at the office or gym, turning a mindless impulse to open Instagram or TikTok into a deliberate decision that requires extra effort.
At just $9, Autonomous Key is considerably cheaper than its competitors like Blok ($29), Unpluq ($26.50), and Brick ($59).
Brick does offer a few more advanced features, including Sleep Mode and the ability to block in-app purchases, but Autonomous Key covers the core functionality at a fraction of the price.
The key itself is compact, measuring about 3 inches long, and works with smartphones running Android 8.0 or later, and iPhones running iOS 15 or later.
The companion app also provides AI-powered insights, tracking how often you unlock distracting apps, how long they remain accessible, and the times of day you’re most likely to reach for them.
Notably, the AI summarizes your habits with a deliberately sassy personality. For example, if you repeatedly unlock your apps immediately after locking them, it might say that the key clearly wasn’t far enough away and will suggest putting it somewhere less convenient.
Plus, unlike many app blockers, there are no subscriptions or premium tiers required to unlock additional features. One key can be paired with multiple phones, making it a practical option for people who may have multiple devices, or for families.
During my testing, however, I noticed the NFC scan occasionally required multiple attempts to register. So it’s probably not the best choice for locking important apps (like messaging or email) that you may need to access throughout the day.
There’s also the question of what happens if you lose the key. If your apps are locked, the current workaround is to uninstall and reinstall the companion app. If they’re already unlocked, you can simply remove the key from your account. The company says it’s developing a backup unlock method that will arrive in a future update.
Autonomous Key is currently in beta following a Kickstarter campaign, and began shipping earlier this month. It’s available in five colors: pink, orange, blue, gray, and brown.
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Tech
Power up your AI infrastructure! A first look at the Smart Systems Stage agenda at TechCrunch Disrupt 2026
AI doesn’t run on code alone — it requires massive amounts of power, and that demand is increasingly becoming a critical bottleneck. At TechCrunch Disrupt 2026, the Smart Systems Stage will be where energy, infrastructure, and technology collide, covering everything from fusion breakthroughs to the grid strain AI is putting on the entire economy.
From October 13-15 in San Francisco’s Moscone Center, join leaders from Commonwealth Fusion Systems, Helion, Inertia, Bloom Energy, and more as they dig into what it actually takes to power the next decade of innovation. We’re tackling everything from commercial fusion’s path, to the grid and why utilities and startups are racing to modernize aging infrastructure, to how data center operators are scrambling to secure the electricity that AI’s growth depends on.
We’re also closing in on the end of our current pricing window, so this is your chance to save on all of our tickets for founders, investors, and more — grab your ticket here before our current discounts are gone! As for the agenda at hand, let’s explore the Smart Systems Stage lineup so far:
Bringing Fusion to the Grid
Leaders from Commonwealth Fusion Systems and Helion break down the breakthroughs driving commercial fusion forward, the challenges still ahead, and what it will take to get fusion power onto the grid at scale.
With David Kirtley, CEO, Helion, and Brandon Sorbom, Chief Science Officer, Commonwealth Fusion Systems
How Twilio’s Founder Is Tackling the Power Problem
Inertia CEO Jeff Lawson joins for a candid fireside chat on his path from founding Twilio to leading one of the best-funded fusion power startups in the world — and how scaling Twilio is shaping his approach to talent, timelines, and the hard engineering questions ahead.
With Jeff Lawson, CEO, Inertia
Rewiring the Grid for the Electric Age
Electricity demand is growing faster than the infrastructure built to support it. This panel explores what it takes to modernize the power system, where investment is flowing, and how utilities, startups, and technology providers are building a more resilient, flexible grid.
With Drew Baglino, Founder & CEO, Heron Power; Apoorv Bhargava, CEO and Co-founder, WeaveGrid; and more speakers to be announced
AI’s Power Problem
As compute demand skyrockets, data center operators and energy companies are racing to secure power and expand infrastructure before it becomes the bottleneck that slows AI’s next wave. Hear how leaders across both industries are tackling it.
With Sara Spangelo, President & Co-Founder, Ambrosia Energy; Bill Thayer, SVP, Head of Datacenter Solutions, Bloom Energy; and more speakers to be announced
Whether you’re building the next energy breakthrough, rethinking grid infrastructure, or just trying to understand what’s really constraining AI’s growth, the Smart Systems Stage is built for founders and operators who need the full picture — not just a headline and an LLM summary.
Plus, joining us at Disrupt 2026 means you can get access to every other stage, all of the networking, every side event, and the rest of our full speaker lineup. It’s a three-day deep dive in the heart of the startup community you’ll never forget, so register today!
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Ilya Sutskever’s Safe Superintelligence partners with Nvidia to scale its AI research
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