Technologies
Standalone AI Devices Are Back, Baby. The Note-Taking Plaud Note 3 Proves It
Plaud AI has already sold over a million AI devices. Is it time for you to add it to your tech collection?
There was a moment around 18 months ago when it felt like AI had unlocked an entirely new consumer technology category. The wearable Humane Pin and handheld Rabbit R1 were small, standalone devices that promised to be your AI personal assistants and threatened to be smartphone killers.
But almost as soon as the hype around them peaked, it died down again. The devices that hit the market during that initial wave of excitement overpromised and underdelivered, and today we remain just as reliant on our phones as ever.
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The tech industry hasn’t completely discarded the idea of standalone AI devices, which combine the power of sensors and large language models. Former Apple design visionary Jony Ive and OpenAI are working on their own AI-centric «screenless phone» concept. Meanwhile, smaller tech companies are also building interesting devices of their own — and making surprising successes of them.
I was recently introduced to Plaud AI, which has already sold over a million AI note-taking devices, and just unveiled its latest product, the Note Pro. This credit card-sized slice of tech perches on the table next to you and slides into a slim case on the rear of your phone for easy transportation. Its five microphones can capture audio up to 5 meters away, and 2 hours of charging will give you 50 hours of continuous recording time.
This third device from Plaud is an update to its original tabletop note-taking device (it also sells a wearable note taker) and comes with more powerful recording capabilities, along with a clutch of new features. First is the small AMOLED display along the top edge, which will display the recording status and battery life. The second notable adjustment is that the power button can also be pressed to highlight key parts of a conversation in real time.
The Note Pro has 64GB of built-in storage, but the core of its intelligence is in the companion smartphone app, which parses all the material the device captures, hopefully into something genuinely useful, intelligible and actionable. Plaud Intelligence relies on LLMs from OpenAI, Anthropic and Google, and is multimodal — meaning you can add in pictures and text, which it can analyze as a whole.
As with Plaud’s previous products, the Note Pro is designed for use in professional contexts and provides access to over 2,000 templates, including those designed for people working in specific fields — medical or legal, for example. As a journalist, I need to record many of my conversations and meetings, so I’ll be interested to see if Plaud can offer anything above and beyond Otter, which I usually rely on.
Note Pro vs. my phone: The real test
That brings me to the big question hanging over the Note Pro, which is why would I carry a separate device to record my meetings when my phone is more than capable? It’s a question I’ll attempt to answer as I test the device out in the coming week. Plaud CEO Nathan Xu laid out his vision for the Note Pro in a briefing, explaining why he thinks people would want to carry one themselves.
Xu said that he sees «lots of beauty in human intelligence,» but that he wants to help humans overcome our shortcomings — our limited memory span, tendency to get distracted and our inconsistent energy levels, are examples he gives. By applying the power of an LLM to our daily lives, AI can help pick up the slack, he said.
Yes, you could use an app on your phone to record a meeting and run it through AI, or rely on the AI tools built into Google Meet or Zoom, but they’re often captured in isolation. Instead, Plaud is with you all the time, filling in the gaps between those meetings, capturing nuggets from every conversation — including the face-to-face ones, which are often overlooked – and understanding them in the context of your entire day.
«Conversation is a form of intelligence — it’s where the ideas begin, the decisions are made and the meanings are shared,» Xu said. «So we exist to help people to capture, extract and utilize intelligence.»
There are other questions I still have about the Note Pro, largely based around privacy. Xu says Plaud’s privacy protections are «best in class,» which it will need to be if it’s capturing confidential and sensitive medical, legal or corporate discussions. Some doctors I’ve spoken to are already wary of using AI transcription services due to potential breaches of doctor-patient confidentiality, and many corporate environments may be resistant to people using these devices in the workplace.
A lesser, but still significant concern is how long it will take for me to lose the proprietary charging cable. The Note Pro is slimmer than a USB-C connector, so it’s clear why having its own charging connector is necessary, but it may prove tricky to keep tabs on.
I’ll be updating this piece with my impressions as I get to grips with using the Note Pro, but if you just can’t wait for that, it is available for preorder now for $179 (£169 or roughly AU$350) and will ship at some point in October.
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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