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Using Kohler’s Poop-Analysis Camera? Double-Check This Key Privacy Setting First

Don’t perch on your camera-equipped throne assuming your «data» is end-to-end encrypted. It’s not quite that simple.

In October, Kohler launched Dekoda, a camera that attaches to a toilet and uses AI to examine your poop. Some say you can’t put a price on good gut health, but the Dekoda costs $599 for the device, plus a subscription fee that ranges from $70 to $156 per year.

But after a blog post published this week raised questions about Kohler’s data practices for its new toilet gadget, the company was forced to explained what it means by «encrypted» data for customers, and what its policy is for training its algorithms on their… uh… waste information. And it’s not as straightforward as it initially appeared to be.


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On its website, Kohler says Dekoda «analyzes gut health and hydration and detects the presence of blood in the toilet bowl, providing data for building healthy habits.»

On the same webpage, Kohler touts privacy features for the gadget. It says that the camera only ever points down into the toilet bowl, that it offers fingerprint authentication optionally via the Dekoda remote and that, «our technology is designed to keep your personal data personal. It is end-to-end encrypted.»

The blog post published by security researcher Simon Fondrie-Teitler raised questions about what that encryption entails and pointed out that Kohler would likely have access to the data and images collected by Dekoda. 

«Responses from the company make it clear that — contrary to common understanding of the term — Kohler is able to access data collected by the device and associated application,» he wrote.

Kohler responds to privacy concerns

Kohler itself appeared to confirm this notion in a statement it shared with CNET. It wrote: «The term end-to-end encryption is often used in the context of products that enable a user (sender) to communicate with another user (recipient), such as a messaging application. Kohler Health is not a messaging application. In this case, we used the term with respect to the encryption of data between our users (sender) and Kohler Health (recipient).»

The company went on to say: «We encrypt data end-to-end in transit, as it travels between users’ devices and our systems, where it is decrypted and processed to provide and improve our service. We also encrypt sensitive user data at rest, when it’s stored on a user’s mobile phone, toilet attachment and on our systems.»

In other words, the data Dekoda collects is encrypted in transit, but can be decrypted by the company on its end.

In regards to how the company uses the data for AI systems learning, Kohler said in the same statement: «If a user consents (which is optional), Kohler Health may de-identify the data and use the de-identified data to train the AI that drives our product. This consent check-box is displayed in the Kohler Health app, is optional and is not pre-checked.»

Based on Kohler’s statement, it will remove information that pairs a user’s identity with the data before it’s used for optional AI model training.

The meaning of ‘encrypted’

This may cause confusion for people who are familiar with the kind of end-to-end encryption offered by services such as Signal or even Apple. Here, the expectation that companies wouldn’t have access, or even a technological way, to decrypt data that people are transmitting through their services.

What Kohler is doing sounds different from that expectation, as Fondrie-Teitler points out in his post: «What Kohler is referring to as E2EE here is simply HTTPS encryption between the app and the server, something that has been basic security practice for two decades now, plus encryption at rest.»

Kohler did not respond directly to questions about Fondrie-Teitler’s post to CNET beyond the statement it shared.

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

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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

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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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