Tech
Raspberry Pi launches camera module for vision-based AI applications
Raspberry Pi, the company that sells tiny, cheap, single-board computers, is releasing an add-on that is going to open up several use cases — and yes, because it’s 2024, there’s an AI angle. Called the Raspberry Pi AI Camera, this image sensor comes with on-board AI processing and is going to cost $70.
In more technical terms, the AI Camera is based on a Sony image sensor (the IMX500) paired with a RP2040, Raspberry Pi’s own microcontroller chip with on-chip SRAM. Like the rest of the line-up, the RP2040 follows Raspberry Pi’s overall philosophy — it is inexpensive yet efficient.
In other words, AI startups aren’t going to replace their Nvidia GPUs with RP2040 chips for inference. But when you pair it with an image sensor, you get an extension module that can capture images and process those images through common neural network models.
As an added benefit, on-board processing on the camera module means that the host Raspberry Pi isn’t affected by visual data processing. The Raspberry Pi remains free to perform other operations — you don’t need to add a separate accelerator. The new module is compatible with all Raspberry Pi computers.
This isn’t Raspberry Pi’s first camera module. The company still sells the Raspberry Pi Camera Module 3, a simple 12-megapixel image sensor from Sony (IMX708) mounted on a small add-on board that you can pair with a Raspberry Pi with a ribbon cable. As Raspberry Pi promises to keep production running for many years, the Camera Module 3 will remain available for around $25.
The AI Camera is the same size as the Camera Module 3 (25mm x 24mm) but slightly thicker due to the structure of the optical sensor. It comes pre-loaded with the MobileNet-SSD model, an object detection model that can run in realtime.
At this point, you might be wondering who is going to use the Raspberry Pi AI Camera. While the tiny computers were originally designed for tech hobbyists and homelab projects, Raspberry Pi now sells most of its devices to companies that use Raspberry Pi devices in their own products or as part their assembly lines for internal industrial use cases.
When Raspberry Pi became a public company, it reported that the industrial and embedded segment represented 72% of its sales. That ratio is likely going to be even higher for the AI Camera.
I could imagine companies using the AI Camera module for smart city sensors that detect empty parking spots, say, or track traffic flows. In an industrial environment, the hardware could be used for basic, automated quality assurance with objects passing under the camera module.
The reason why companies like using Raspberry Pi is because they can produce computers and modules at scale — they faced some post-Covid supply constraints but those seem to be resolved. Companies know they can reliability source Raspberry Pi products without suffering delays in a production pipeline. That’s also part of the reason why Raspberry Pi promises that the AI Camera will remain in production until at least January 2028.

Tech
Light made a flip phone. It’s colorful and it’s cheap.
Kaiwei Tang helped create the iconic Motorola Razr over 20 years ago. Now, 10 years into building Light, the startup behind the minimalist smartphone alternative Light Phone, he’s as surprised as anyone that his customers are begging for a flip phone.
“We’ve been interviewing young people that use flip phones for a few years,” Tang told TechCrunch, describing a pattern his team kept running into: Gen Z users love their flip phones but say the build quality is bad. “They’re describing the flip phones in negative language, but they stick with it, and they feel proud.”
So Tang and co-founder Joe Hollier had an idea. What if Light took the fast, custom software from its last three touch screen phones and put it into a flip phone? That’s how they decided to build the Light Flip, the most affordable device that Light has ever released.
“What we’re doing is offering the same Light Phone experience, the same Light Phone OS with our SDK developer program, all of the tools we already have today: alarm, calculator, calendar…” Hollier told TechCrunch. “It’s kind of the exact same experience, just one is fully tactile, no touch screen, and [the other] one is a complete touch screen experience.”

Pricing has always been Light’s hardest problem as a small hardware startup. How do you sell a “less” phone for a price people will actually pay, when the whole pitch is fewer features? Its previous release, the unlocked Light Phone III, retails at $799. But the Light Flip brings the cost down to $299 by dropping a touch screen, NFC reader, and selfie camera. The Light Flip is also made of plastic, rather than sturdier aluminum, but that means that for the first time, Light can offer one of its phones in a range of colors: black, red, yellow, pink, navy blue, and light grey.
“I thought I was fully QWERTY, but I was having fun with the T9 predictive texting [the old-school method of typing multiple letters per number], so I can see myself going flip phone also for the colors,” Hollier said. “Just having a yellow phone gets me so jazzed.”
Beyond the sticker price, Light is also testing a financing play. It recently piloted phone contracts with Andrew Yang’s anti-doomscrolling carrier Noble Mobile. With Light’s own service plan, customers can get the Light Flip for a two-year contract at $39 per month; the Light Phone III will be available for $59 per month over the same time frame.
The Light Flip only has a 2.8″ OLED screen on the inside and no screen on the outside, as requested by users. There will be a small light on the front of the phone, however, so that you can see if you have notifications without flipping open the device. With 5G and 4GLTE connectivity, the Light Flip can download podcasts online and play music that you upload to your phone, which you can listen to via either a 3.5mm headphone jack or Bluetooth headphones. It charges via USB-C, works with both eSIM and physical Nano SIM cards, and includes a 12-megapixel camera on the back.

The Light Flip is expected to ship in April 2027, which Light acknowledges is a long lead time. To keep preorder customers engaged (and, practically, to keep them from canceling before it ships), the company is launching a new “Flip Your Life” program, including bi-weekly newsletters to help people prepare for the lifestyle adjustment of ditching a smartphone. It’s a community-building move as much as a marketing one. By building a support network around the phone, Light hopes that the transition to using its products will be less jarring and that it sticks.
While Light believes that its phones can help people reclaim the time they may regret spending on mindless scrolling, the founders acknowledge that it’s not easy to quit smartphones cold turkey. It’s hard to sacrifice the convenience of instant internet access, Apple Pay, music streaming, and convenient communication tools like WhatsApp and iMessage, and it’s easier for the flip phone-curious to make this transition when they’re not going through it alone.
“I think something that’s so inspiring about this movement is it’s not coming from a place of just anger and hatred… It’s a movement of optimism, as well as skepticism,” Hollier said. “I think that’s what we’ve always tried to do with Light. We’re anti big tech in all these ways, but we’re always trying to show that the other side of life can be really simple and beautiful.”
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Tech
Can an Apple lawsuit derail OpenAI’s hardware plans?
Apple recently filed a trade secrets lawsuit against OpenAI, accusing the AI company of a pattern of misconduct aimed at getting current and former Apple employees to share confidential information. (In response, OpenAI said it is “not aware of any evidence that this complaint has merit.”)
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I debated whether this lawsuit will cast a shadow over OpenAI’s much-discussed plans to get into the hardware business (starting with a mobile smart speaker) and go public.
“Even setting aside whether or not the court grants any kind of injunctive relief or any kind of restraining order over what OpenAI is doing, it just naturally can lead to that sort of situation where it’s going to cause some delays in what OpenAI is working on,” Sean suggested. “Which I’m sure was probably part of the reasoning behind Apple doing this. They don’t do this stuff willy nilly.”
With all those plans on the line, will OpenAI try to settle this as quickly as possible, or did it learn from its recent courtroom victory against Elon Musk that it can endure the cost and embarrassment of a trial? Kirsten, at least, predicts the latter.
Keep reading for a preview of our conversation, edited for length and clarity.
Kirsten: Sean, how do you feel about Sam Altman listening to you with a little device maybe in your pocket?
Sean: I’m good. Maybe that’s predictable, but I’m good. No thanks.
We’ll get into it, I’m sure, but this is allegedly the first product that OpenAI has been working on in its hardware division with Jony Ive and company. They’ve been really coy ever since that weird video they put out last year of them sitting at that coffee shop or bar in San Francisco and sort of talking very vaguely about hardware and legacy devices, meaning laptops and phones. And so if this is the direction they’re headed in, all power to people who want to have somebody like that always listening to them. This is not going to be for me.
Anthony: Part of what we have to remember about those kinds of devices is also that, depending on how mobile it is, it’s not just listening to you, it’s listening to the people around you. I might be fine with it — I’m not fine with it, but let’s say I was — but then if we met up in-person at Disrupt, then suddenly it might be listening to all of us.
There are all kinds of social norms that are going to have to be renegotiated if these things become widespread. I think we should make fun of and criticize people who record other people without consent.
Kirsten: Well, I bring up the device that has been speculated about for a really long time, and we’ll see what it really ends up being once it’s officially introduced, but it’s important in the context of this lawsuit that Apple filed last Friday.
It was the biggest news of the week, certainly, and this is a trade secret lawsuit. It has some pretty wild allegations and we should very much emphasize these are allegations that have been filed in a complaint by Apple. But what it is accusing OpenAI of is a pattern of misconduct at the highest levels, specifically directed towards OpenAI employees who used to work at Apple. And in fact they’ve named the chief hardware officer Tang Tan in this lawsuit.
This is all important because Apple is accusing OpenAI of essentially stealing their trade secrets, but in the context of that, this could be then used for a competing hardware product. I’m wondering if maybe we don’t get into whether this lawsuit has merits, because we haven’t gone through full discovery, but what are your initial impressions of the lawsuit aside from the fact that wow, this is going to be entertaining?
Sean: Two things. One, this is a pretty big risk potentially to whatever it is OpenAI is working on. Even setting aside whether or not the court grants any kind of injunctive relief or any kind of restraining order over what OpenAI is doing, it just naturally can lead to that sort of situation where it’s going to cause some delays in what OpenAI is working on, which I’m sure was probably part of the reasoning behind Apple doing this. They don’t do this stuff willy nilly.
The other is that we think that OpenAI is — we know that they’ve filed confidentially for an IPO. We think it might happen as early as the end of this year, or early next year, if you believe Sam Altman’s cautious language around the IPO. And this just raises a whole bunch of questions around that because, on the one hand, we think their business right now is probably overwhelmingly the software; they’re not really factoring in any hardware business into that picture at the moment.
They’re about to go to the markets and they’re going to be pitching bankers and investors on where they think their addressable market should be, and if they have a big amount of that pegged to a potential hardware division and hardware products, this could be a huge risk to that and changes a lot of the calculus of sort of how the IPO gets priced. So that’s where my head’s at.
Anthony: One [allegation] that I assume that Apple must have pretty solid numbers on is, they said more than 400 Apple employees now work at OpenAI. Granted, both of them are very large companies with many thousands or tens of thousands of employees. So as a percentage, it’s not necessarily huge. But that seems like a lot of people and a pretty serious talent drain.
And the other thing I’m wondering is related to Sean’s point. With the context of the potential IPO, how much damage did OpenAI ultimately take from a marketing and brand perspective from the trial it already went through? That it seemed to basically win, but there was a lot of not-terrible-but-kind-of-embarrassing dirty laundry that came out in the testimony. To what extent are they just like, “We do not want to go through that again”? Or did they take the lesson of, “Hey, we went through it and we survived and we’ll be okay if we have to do another trial with Apple”?
Kirsten: I fully predict the latter, by the way.
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Tech
What to watch for after Jensen Huang’s Japan visit
Nvidia’s chief Jensen Huang spent two days — July 15 and 16 — in Tokyo, courting Japan’s industrial and chip-supply elite, weeks after a keynote in Taiwan, and months after a visit to South Korea. He left with deals spanning Japan’s entire tech ecosystem: a national AI factory, partnerships with the country’s leading robotics companies, and agreements with the chip-material suppliers powering Nvidia’s next generation of AI chips. His message was clear. Nvidia is targeting Japan’s factory floor, and many of the country’s biggest manufacturers are joining in. AI’s next chapter, Huang said, belongs to factory floors, robots, and machines, and he wants Japan to build it.
Thirty years ago, a $5 million Sega investment helped keep a near-bankrupt Nvidia afloat; today, Nvidia and Japan’s industrial giants need each other again — this time to build the physical-AI era, starting with these three projects:
Noetra — Japan’s sovereign-AI play. The country doesn’t want to run its factories and robots on American or Chinese AI. So, the government pulled together roughly 44 domestic firms, with SoftBank, Sony, NEC, and Honda at the core, to build its own AI for robots, vehicles, and factory floors. Tokyo is committing up to 1 trillion yen ($6.2 billion) over five years, a bet on homegrown “physical AI,” foundation models built to run machines. Japan wants to own the software brain. The hardware to build it, though, still comes from Nvidia. The U.S. chip giant is building “a Vera Rubin AI factory,” a massive data center packed with its next-generation chips, expected to launch in 2028, with 13,750 Vera CPUs and 27,500 Rubin GPUs, delivering 140 megawatts. Noetra will oversee the effort, with plans to build the data center. Noetra’s plan runs in three stages: a reasoning model heavy on Japanese-language skills starting in fiscal 2026; an omni-modal version handling text, images, video, and audio by 2028; and “Real-world Native AI” built to run robots by 2030, released to outside Noetra developers in phases.
The robotics coalition — Japan’s industrial giants line up behind Cosmos. Nvidia is targeting Japan’s factory floor, and many of the country’s top robotics and manufacturing players are signing on. Fanuc, Yaskawa, Kawasaki Heavy, Fujitsu, Hitachi, NEC, Sony, SoftBank, Kubota, and robotics group AIRoA say they plan to build on Nvidia’s Cosmos models, an open-model effort Nvidia started in May with a handful of global AI labs. In Tokyo, Nvidia gave them a reason to commit, unveiling Cosmos 3 Edge, a version of the model that runs on its Jetson Thor chips inside the machines themselves. Some are already testing a shared control system; others, like Honda R&D and Omron, are building on the tools now. “The next frontier of AI is in the physical world, and this is a once-in-a-generation opportunity for Japan,” Huang said in the company’s statement. “Japan invented modern manufacturing. Now, it has the opportunity to reinvent it for the age of intelligent industries.”
Toyota — cars and physical AI. Toyota uses Nvidia chips across much of its stack. It committed its next-generation vehicles to Nvidia’s Drive platform at CES in January 2025; the newer work extends Nvidia into its manufacturing, where simulations are used to design production lines, into the software that runs its vehicles, and into systems that read road traffic. Toyota’s cars will run advanced driver assistance, which steers and brakes but still requires a driver, a more conservative approach than Waymo and Tesla, which are developing systems that rely less on a human driver.
Huang’s visit put physical AI at the center of Japan’s industrial strategy, and Tokyo is spending to back it. Facing a shrinking workforce, Japan wants 10 million AI-equipped robots across 18 sectors by 2040, backed by $65 billion in public and private physical-AI investment.
The longer game is bigger. Japan’s AI Robotics Strategy, released in March, aims to capture more than 30% of the global AI robotics market by 2040, a market Tokyo values at roughly ¥20 trillion, or about $133 billion. METI is funding a domestic foundation model to run the machines, and Noetra’s Nvidia-powered factory is where models of that scale, into the trillions of parameters, would be trained.
Underneath the industrial case is a sovereign one. As the U.S. and China pull ahead in large-scale AI, Tokyo wants its own data, its own compute, and less dependence on infrastructure it doesn’t control. Huang appeared on July 16 alongside trade minister Ryosei Akazawa at the government’s physical-AI launch, with Prime Minister Sanae Takaichi joining by video. The Takaichi administration has made AI and semiconductors the centerpiece of a growth plan chasing ¥370 trillion ($2.3 trillion) in public and private investment by 2040. Noetra’s factory — which Nvidia bills as “the world’s first national AI infrastructure” — is the clearest bet yet. Japan’s push for independence, at least for now, rests on American chips.
In two days, Huang sat across from nearly every name that matters in Japanese tech — the CEOs of Toyota, Fanuc, Yaskawa, Fujitsu, and Kawasaki over lunch, and dozens of supply-chain chiefs over skewers and whisky in a Kanda izakaya.
It’s the same playbook he ran weeks earlier — a homecoming keynote in Taiwan, fried chicken, and a 50,000-GPU deal in Seoul last fall. This time, it was Tokyo’s turn, with the robots, the supply chain, and the chips underneath.
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