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Apple’s big AI rollout at WWDC will reportedly focus on making Siri suck less

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Apple will reportedly focus its first round of generative AI enhancements on beefing up Siri’s conversational chops. Sources speaking with The New York Times say company executives realized early last year that ChatGPT made Siri look antiquated. The company allegedly decided that the large language model (LLM) principles behind OpenAI’s chatbot could give the iPhone’s virtual assistant a much-needed shot in the arm. So Apple will reportedly roll out a new version of Siri powered by generative AI at its WWDC keynote on June 10.

Apple Senior Vice Presidents Craig Federighi and John Giannandrea reportedly tested ChatGPT for weeks before the company realized that Siri looked outdated. (I would argue that the epiphany came about a decade late.) What followed was what The NYT describes as Apple’s “most significant reorganization in more than a decade.”

The company sees generative AI as a once-in-a-decade tentpole area worth shifting heaps of resources to address. You may recall the company canceled its $10 billion “Apple Car” project earlier this year. Apple reportedly reassigned many of those engineers to work on generative AI.

Apple executives allegedly fear AI models could eventually replace established software like iOS, turning the iPhone into “a dumb brick” by comparison. The clunky, awkward and overall unconvincing first wave of dedicated AI gadgets we’ve reviewed, like the Human AI Pin and Rabbit R1, aren’t good enough to pose a threat. But that could change as software evolves, other smartphone makers incorporate more AI into their operating systems and other hardware makers have a chance to innovate.

So, at least for now, it appears Apple isn’t launching direct competitors to generative AI stalwarts like ChatGPT (words), Midjourney (images) or ElevenLabs (voices). Instead, it will start with a new Siri and updated iPhone models with expanded memory to better handle local processing. In addition, the company will reportedly add a text-summarizing feature to the Messages app.

Apple’s John Ternus standing in front of a digital slide of the M4 chip.Apple’s John Ternus standing in front of a digital slide of the M4 chip.

Apple’s M4 chip (shown next to VP John Ternus) could help process local Siri requests. (Apple)

Apple’s first foray into generative AI, if The NYT’s sources are correct, sounds like less of an immediate threat to creators than some had imagined. At its May iPad event, the company ran a video plugging the new iPad Pro that showed various creative tools crushed by a hydraulic press. The clip accidentally served as the perfect metaphor for the (legitimate) fears of artists, musicians and other creators, whose work AI models have trained on — and who stand to be replaced by those same tools as they become more normalized for content creation.

On Thursday, Apple apologized for the ad and said it canceled plans to run it on TV.

Samsung and Google have already loaded their flagship phones with various generative AI features that go far beyond improving their virtual assistants. These include tools for editing photos, generating text and enhancing transcription (among other things). These features typically rely on cloud-based servers for processing, whereas Apple’s approach will allegedly prioritize privacy and handle requests locally. So Apple will apparently start with a more streamlined approach that sticks to improving what’s already there, as well as keeping most or all processing on-device.

The New York Times’ sources add that Apple’s culture of internal secrecy and privacy-focused marketing have stunted its AI progress. Former Siri engineer John Burkey told the paper that the company’s tendency to silo off the information various divisions share with each other has been another primary culprit in Siri’s inability to evolve far past where the assistant was when it launched a day before Steve Jobs died in 2011.

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Star Wars should learn from Andor and stop making Disney Plus shows that are so obsessed with the Jedi

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I very much enjoyed the Obi-Wan Kenobi, and stuck it out with Star Wars: Ahsoka, when this highly anticipated Star Wars TV duo landed on Disney Plus. But, by the time the credits had rolled on the latter in mid-2023, I think I’ve had my fill of Jedi-led stories in Lucasfilm’s iconic galaxy far, far away. 

Sure, seeing these series’ Force-wielding protagonists clash with their Sith counterparts and other overtly villainous folks – amid the crackle and buzz of lightsabers – is always highly enjoyable. But the bits in between – channelling the Force and so on – have become rather stale in my eyes. Blah blah “concentrate”, blah blah “use your feelings”… you get the idea.

Even in Disney Plus shows that initially don’t revolve around the Jedi, such as The Mandalorian and The Book of Boba Fett, still tread old ground and eventually lead to the telekinetic hot-glow-stick wielders showing their faces. While I was entertained by the Kill Bill-style battle between Ahsoka and Morgan Elsbeth at the end of The Mandalorian, other appearances from the Jedi have either been a tad underwhelming or overbaked. Yes, I know ‘Baby Yoda’ is cute and all, but seeing Grogu train with a digitally recreated Luke Skywalker in season 2 of The Mandalorian (one of the best Disney Plus shows, in many people’s eyes) wasn’t the dose of nostalgia and role-reversal I think Disney hoped it would be. 

A screenshot of Ewan McGregor as Obi-Wan Kenobi in the Jedi's Disney Plus TV show

Obi-Wan Kenobi’s self-titled Disney Plus series wasn’t as good as it could’ve been. (Image credit: Lucasfilm/Disney Plus)

Andor, though, showed me and many other Star Wars fans that you can make a great Star Wars show without a single Jedi appearance. In fact, I’d argue that Andor is the most interesting piece of Star Wars content that Disney has done to date – something that TechRadar’s senior entertainment reporter Tom Power also claimed in his Andor season 1 review

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Life Style

Who’s making chips for AI? Chinese manufacturers lag behind US tech giants

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Jensen Huang, co-founder and chief executive officer of Nvidia Corp., displays the new Blackwell GPU chip, left, and the Hopper GPU chip, right, during the Nvidia GPU Technology Conference (GTC) in San Jose, California.

Nvidia chief executive officer Jensen Huang shows off the new Blackwell GPU chip (left) at an 18 March event in San Jose, California.Credit: David Paul Morris/Bloomberg via Getty

The rapid advance of generative artificial intelligence (AI) has sparked a global technological race to produce computer chips that power the models. A US ban on selling high-quality computer chips to China is stifling the country’s progress in key technologies, according to researchers both inside and outside the country.

The chips have become increasingly crucial to power the latest advances in generative artificial intelligence (AI). “Generative AI could change society,” says Yiran Chen, an electrical and computer engineer at Duke University in Durham, North Carolina. “If China is isolated, it’s not able to catch up.”

In the past few years, interest in AI has exploded as a result of progress in generative AI tools — large language models that can produce original text, video or audio content based on human-generated input. Such models underlie technology including OpenAI’s chatbot ChatGPT and Microsoft’s digital assistant Copilot.

The AI boom has also sparked a global race to produce increasingly powerful computer chips that can cope with the large data sets needed to train and execute models. Nvidia, one of the leading developers of such chips, based in Santa Clara, California, has seen its market value shoot past US$2 trillion for the first time last March. “The US is ahead of almost every single country because of companies like Nvidia and AMD,” says Ahmed Banafa, an engineer at San Jose State University in California.

Export controls imposed by the US Department of Commerce in October 2022, and subsequently tightened a year later, prohibited the sale of certain technologies to China, including chips that can operate above speeds of 300 teraflops, or 300 trillion operations per second. It also limited the sale of state-of-the art manufacturing equipment that could be used to produce such chips. The United States was acting because China “has poured resources into developing supercomputing capabilities and seeks to become a world leader in artificial intelligence by 2030. It is using these capabilities to monitor, track, and surveil their own citizens, and fuel its military modernization,” said a statement from the US government accompanying the export controls.

The ban has “dramatically limited” China’s progress with training AI models, says Chen.

“We cannot get high-end Nvidia chips in China and we cannot fabricate high-end chips,” says Yu Wang, an electronic engineer at Tsinghua University in Beijing.

Supply stagnation

Many suppliers outside the Chinese mainland, such as the Taiwan Semiconductor Manufacturing Company (TSMC) in Hsinchu, which produces chips for Nvidia and other US developers, will not sell its most advanced chips to China to avoid falling foul of US sanctions. “For China, TSMC can only fabricate chips below the bar of the regulations”, meaning the 300-teraflop limit set by the Biden administration, says Wang. “So China can only do their own high computing-power chips inside China.”

China’s leading competitor to Nvidia, Huawei, has sought to develop its own AI chips, but Banafa says China is still “at least five to ten years” behind the United States, partly because it cannot get access to the most advanced equipment needed to produce such chips.

Generations of chip design are labelled according to nanometre ratings, with smaller numbers denoting more advanced chips. Nvidia’s latest chip — the GB200 Blackwell, intended to sell at $30,000–$40,000 per chip according to chief executive Jensen Huang — has gaps of just four nanometres, approaching the width of a strand of human DNA.

Nvidia and other US companies, such as Intel, along with Samsung in South Korea, are now transitioning to 3 nm technology and even pushing down towards 2 nm. “When you go down, you can add more transistors and more power,” says Banafa.

China’s best efforts, from Huawei, are still at around 7 nm, meaning that Chinese companies have to use more chips to achieve the same computing power as one advanced chip. “Until they have a technology breakthrough that will take them lower, they’re [playing] catch-up to the US,” says Banafa.

Other avenues

Jenny Xiao, a partner at the research-focused AI investment fund Leonis Capital in San Francisco, California, says a “black market” for high-end chips has developed in China. “If you say ‘I want to buy 5,000 chips,’ it’s hard not to get noticed,” she says. “But if you’re a smaller start-up, it doesn’t really affect you.”

There has been some good news for Chinese chip development — using AI itself to design computer chips. Yunji Chen, a computer scientist at the Chinese Academy of Sciences Institute of Computing Technology in Beijing, and his colleagues said in the past year that they have developed the first chip to be designed by AI without human input1, called Enlightenment-1. “I believe that in five or ten years, AI can design chips as good as human beings,” says Chen. “If you want to design an AI chip, traditionally you need three years and 1,000 people. But if you use AI, you just need several hours. If this cycle becomes real, how AI evolves will be much faster.”

But for the time being, China is finding itself increasingly isolated as AI chip development continues apace elsewhere. “Who’s going to use a chip fabricated by China?” says Yiran Chen. “It’s a commercial war.”

A lack of competitiveness in AI could exacerbate what some describe as a brain drain in the country. “The broader issue is the economy,” says Xiao. “Most ambitious Chinese students want to go abroad and stay. They’re not thinking about being in China.”

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‘Inspired by the human brain’: Intel debuts neuromorphic system that aims to mimic grey matter with a clear aim — making the machine exponentially faster and much more power efficient, just like us

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Neuromorphic computing is about mimicking the human brain’s structure to deliver more efficient data processing, including faster speeds and higher accuracy, and it’s a hot topic right now. A lot of universities and tech firms are working on it, including scientists at Intel who have built the world’s largest “brain-based” computing system for Sandia National Laboratories in New Mexico.

Intel’s creation, called Hala Point, is only the size of a microwave, but boasts 1.15 billion artificial neurons. That’s a massive step up from the 50 million neuron capacity of its predecessor, Pohoiki Springs, which debuted four years ago. There’s a theme with Intel’s naming in case you were wondering – they’re locations in Hawaii.

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Inside the company making 35-year-old Game Boys look and work like new

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It might surprise you to know that becoming a sustainability warrior doesn’t necessarily take a calling. Sometimes, it just needs to start as a hobby that you can share with someone you love. That’s how Retrospekt, a Milwaukee, Wisconsin-based technology refurbishment firm got its start – and how, somewhat improbably, I’m now playing with what is essentially a 35-year-old Game Boy that looks as if it was made yesterday.

“It’s actually quite fun being able to stay in the midwest and bring something unique to the midwest,” Retrospekt co-owner and CEO Adam Fuerst told me during a lengthy conversation, adding that partner and licensee companies are often surprised at their location.

Sustainability Week 2024

This article is part of a series of sustainability-themed content we’re running to observe Earth Day and promote more sustainable practices. Check out all of our Sustainability Week 2024 content.



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Samsung is making its top executives work six days a week

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Samsung has shifted to “emergency mode” and is now asking executives to work six days per week.

The news, revealed in a report by The Korea Economic Daily, comes as the company battles ongoing business challenges. The company-wide policy affects executives and top managers across Samsung’s various divisions.

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IBM is making some big changes to its storage portfolio — but it could be OK, so long as you have a memory for names

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In a bid to simplify its product range for customers, IBM has announced changes to the names of some of its popular storage solutions. 

The tech giant’s latest product rebrand is designed to better communicate their functions and capabilities, and do away with some of the confusion that came about following the previous renaming round.

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Google Pixel 8 Pro review: making more out of your phone

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Editor’s Note

• Original review date: October, 2023
Google adds circle to search and Gemini to Pixel 8 Pro
• Launch price: $999 / £999 / AU$1,699
• Lowest price on Amazon: $749 / £670 / AU$1,699

Update: April 2024. We’re only in the first of Google’s seven years of promised updates for the Pixel 8 Pro, but the phone has already seen considerable new features. When the Samsung Galaxy S24 was launched in January, 2024,  Google added circle to search and other new AI features to the Pixel 8 Pro, and eventually the Pixel 8. Since then, we’ve seen Google’s Gemini LLM with the Gemini Nano model, capable of producing written text using only the phone’s onboard resources. Google has also launched its Find My Mobile network, and the Pixel 8 Pro has the hardware to find Google’s new Nest location tags. 

Philip Berne

Philip Berne

Google Pixel 8 Pro: Two-minute review

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No light without dark : making the most of ‘shadow IT’

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In the last few decades, technology has created a modern digital workforce that is technically skilled and adept at finding innovative solutions that would help them succeed at work. However, with 95% of employees struggling with digital friction in the workplace – including a lack of access to the right tools – ambitious employees who are hungry for results have often needed to explore fixes outside the scope of existing systems provided by their employers.

On top of that, the popularity of cloud-based apps has resulted in business processes often ending up fragmented across various systems, requiring workers to devote time to manual maintenance. This has accelerated the spread of (the unnecessarily ominous sounding) ‘shadow IT’, or applications that savvy workers use without official authorization to help them bypass limitations and get work done. In a perfect world, a balance can be struck between giving these technically skilled workers freedom to integrate and optimize processes while ensuring IT remains in charge of technology at the architectural level.

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Business Industry

Samsung is reportedly making a Galaxy Watch FE

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Samsung has a pretty good lineup of Wear OS smartwatches. The Galaxy Watch 6 and the Galaxy Watch 6 Classic are among the best-equipped smartwatches for Android phones. However, they’re quite costly, and not everyone would be able to buy them. So, Samsung could be making a cheaper Galaxy Watch.

Galaxy Watch FE could be Samsung’s cheapest Wear OS smartwatch

While the Galaxy Fit 3 is extremely affordable, it doesn’t run Wear OS. For those who want a Wear OS-based Galaxy Watch but don’t want to spend more than $150 on a wearable, Samsung is developing the Galaxy Watch FE. According to a report from Android Headlines, the Galaxy Watch FE has model number SM-R866. It reportedly has at least three variants: SM-R866F (International), SM-R866U (USA LTE), and SM-R866N (Korea).

Samsung Galaxy Watch FE Model Number Leak

When you notice the Galaxy Watch FE’s model number, it looks like it could be a slightly modified version of the Galaxy Watch 4 (SM-R860). So, Samsung could be repackaging the Galaxy Watch 4 with possibly a newer processor. The remaining features could remain similar to those of the original Galaxy Watch 4.

Since the Galaxy Watch 4 is already selling for as low as $150 on Amazon, it would be great if Samsung can launch the Galaxy Watch FE for the similar or even lower price.

Watch our hands-on experience with the Galaxy Watch 4 in the video below.

Author’s Note: The Galaxy Watch 4 already has many of the features found on most Wear OS smartwatches. It has an accelerometer, barometer, GPS, gyro, and a heart rate sensor. It can track heart rate, sleep, stress levels, and workouts. It has an IP68 rating and features a microphone and a loudspeaker.

It has NFC for mobile payments via Samsung Pay and also features wireless charging. On a single charge, it usually lasts a day. The only things that Samsung needs to improve on the Galaxy Watch FE compared to the Galaxy Watch 4 would be its processor and battery life. A newer processor and a slightly bigger battery would help a long way in achieving that.

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