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SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth
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WWired

SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth

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Can tech companies learn to love cheaper AI models?
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TTechCrunch

Can tech companies learn to love cheaper AI models?

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Not just Neanderthals: Ghost lineage in Africa left its mark on our DNA
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AArs Technica

Not just Neanderthals: Ghost lineage in Africa left its mark on our DNA

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UK may ban social media for children under 16
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UK may ban social media for children under 16

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What to Do in LA if You’re Here for Business (2025)
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TTechCrunch

What to Do in LA if You’re Here for Business (2025)

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312 technology stories

SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth
Technology
rocketspacexsfalcon

SpaceX’s Falcon 9 Rocket Is About to Crash Into the Moon—and It Could Be Visible From Earth

If you own a strong enough telescope, you might be able to witness history on Wednesday: A dead rocket is going to crash into the Moon.On August 5, at around 6:34 am UTC, a spent SpaceX Falcon 9 upper stage is expected to hit the Moon's sunlit western limb near Einstein crater at more than 5,400 mph. If it unfolds as predicted, the crash could throw up a plume of debris bright enough to briefly see from Earth with the right equipment.That would be a first. No impact flash has ever been recorded on the sunlit face of the Moon, and that's exactly where the Falcon 9 crash is forecast to happen, kicking up plumes of dust that could stand out against the blackness of space. The findings are based in part on two new preprint studies.That includes one posted July 27 to arXiv and led by William Jo, a doctoral candidate at the University of Texas at Austin's Cockrell School of Engineering, that forecasts just how big the impact could be. To predict the plume, Jo ran the crash through a high-resolution physics simulation that allowed him to model what would happen when 3,900 kilograms of hollow metal hit the lunar surface. That’s different from solid meteorites making impact."It's like an empty eggshell, because it had all the fuel in it, and there is a rocket engine at one end that's denser," David Goldstein, an aerospace-engineering professor at UT Austin who supervised the work, says of the Falcon 9.Rather than burrowing in like a cannonball, the shell will collapse from its edges inward, throwing up a broad, low curtain of soil spreading as far as 183 kilometers wide as well as a thin, faster spike nearly straight up. All told, the crash is forecast to displace about 12,700 kilograms of debris.Jo describes the simulation as a "best-case" model. The code is two-dimensional and axisymmetric, so it can only simulate the stage coming straight down, engine-first, basically like dropping a pin on its head. But the real object—the spent stage of a Falcon 9 that carried two landers to the Moon in January 2025—is far more likely to arrive at an angle. A glancing strike would throw up a smaller, dimmer plume, possibly without the big spike."I would view our study as the most optimistic in terms of generating sprays," Goldstein said.It’s a detailed guess at the shape of the splash, but whether a plume will actually be visible from Earth is another matter.Laurence Trafton, an astronomer at UT Austin, says it's possible, but hard to know until the moment of impact. Size isn't the problem: A plume reaching 50 kilometers past the limb would span about 28 arcseconds, astronomer-speak for an angle that’s roughly one‑sixtieth the apparent width of the Moon in the sky. At that size, "it can be easily resolved by a small telescope," Trafton writes in an email.The new paper provides an estimate of where exactly to train a telescope. But contrast in the night sky could be a confounding factor. The plume will be something like 30 to 300 times fainter than the blazing Moon beside it, and scattered moonlight will only make viewing harder. Catching it will require "a very steady mount," Trafton says.Timing will be on the observer's side. The plume should peak about 90 seconds after impact, "long enough for an observer to witness," Trafton says. Geography is not, at least depending on where you live.The flash has to be caught at night. For anyone north of a line from Massachusetts to Texas, the Moon will hang so low that they’ll be peering through more than three times the usual thickness of atmosphere. That means viewers in those locations will be looking through a murky, turbulent slice of sky that could wash out any signs of the plume generated from the crash.The best odds of seeing any lunar fireworks—or, more accurately, debrisworks—are in the US Southeast, according to Trafton.Several scientists, including Bill Gray of Project Pluto who first flagged the impact, have laid out an observation plan urging professional and amateur astronomers to try to catc

WiredAug 1
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Can tech companies learn to love cheaper AI models?
Technology
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trumpmoreindia

Can tech companies learn to love cheaper AI models?

In Brief Posted: 3:47 PM PDT · July 31, 2026 Image Credits:Samuel Boivin/NurPhoto / Getty Images Much has been made of the incident in which one of OpenAI’s agents broke out of its sandboxed test environment and proceeded to hack the AI hosting platform Hugging Face. OpenAI has since launched an investigation into how the incident occurred, which is still ongoing. Now, anonymous sources have told Reuters that more of OpenAI’s agents are believed to have escaped their sandboxes. However, one source downplayed the severity, saying that with those escapes, the agents didn’t appear to leave OpenAI’s network to hack into another company’s. TechCrunch reached out to OpenAI for more information. AI programs acting in bizarre ways has apparently become a weird almost bragging point for companies. The same week, Anthropic also announced that it had discovered not one, but three instances in which its agents had escaped test environments and hacked other organizations. AI companies have also been accused of using such incidents for marketing purposes — as they generate considerable attention and may underscore how powerful the companies’ products are. The flip side of that is that these disclosures are also ramping up discussions of government regulations. Topics Subscribe for the industry’s biggest tech news Latest in AI

TechCrunchJul 31
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Not just Neanderthals: Ghost lineage in Africa left its mark on our DNA
Technology
3updates
africajustghost

Not just Neanderthals: Ghost lineage in Africa left its mark on our DNA

introgressive Some group with no modern descendants contributed a lot to our genomes. When the history of our ancestry is written, the fact that we’ve interbred with some of our closest relatives, the Neanderthals and Denisovans, will have a central role. And it will be tempting to write it as a very tidy story: Once we got genomes from these other groups, it was possible to identify the sequences in our genomes that we shared with them. But in reality, as scientists started poking large enough collections of data, there were regular hints of some strange ancestry in our genomes. It was hard to pin down, though, at least in part because the 2 percent on average of Neanderthal DNA found in many populations does not guarantee that any two individuals will have the same 2 percent. So having the genomes of those two groups made sense of some things researchers had already been seeing. But knowing what we do about Neanderthal and Denisovan DNA is now allowing researchers to answer a somewhat different question: Is there anything else? Using recently developed analytical techniques, they find evidence of a third lineage that we apparently interbred with before any modern humans left Africa. Again, there were hints of this earlier, but so far, there’s been no genome from a modern human relative to help us understand the details—the source of this DNA remains a “ghost lineage.” Old, and yet young The new work, done by a group largely based at Berkeley, relies on developments from elsewhere in the field of genomic analysis. Any site in a given person’s genome is the product of a mixture of common descent and random mutations, and its relationship to its neighbors can be mixed up by recombination, when pairs of chromosomes swap segments of DNA. With enough genomic data, computers can be used to reconstruct what are called ancestral recombination graphs that try to reconstruct this history. For each base in the genome, ancestral recombination graphs estimate its history: How many generations back that particular base first appeared in the genome and when it has been involved with recombinations. Because of the randomness of some of these things and complexities like deletions, many of the individual inferences about history will be wrong. But those are likely to be the exceptions, and the average picture across the genome’s three billion bases should be informative. The Berkeley team made a few inferences about what these ancestral recombination graphs should look like in cases where a separate lineage contributed DNA to modern humans (a process called “introgression”). One is that there should be a cluster of sequences that look consistently old, since they shouldn’t have as many of the same variants that the modern human genomes have picked up while the lineages were separate. Normally, sequences that have been around for a while have more chances to be involved in a recombination. But these sequences were reintroduced to the human genome later in our history, so recombination should be far less frequent relative to a genome that’s been in the modern human lineage the whole time. So any part of the genome that introgressed from a separate lineage should have two properties: Many of its bases should look “old” in the sense of how far back their common ancestry can be traced, yet they should look “young” in terms of how much recombination has taken place. So the researchers developed a software tool they call TRACE to look for these sequences. Like a ghost To test the tool, they had convenient examples: the Neanderthal and Denisovan sequences we’ve already identified in the human genome. If TRACE couldn’t pick those out, it wouldn’t find anything else useful. The development of ancestral recombination graphs is still a work in progress, so the researchers used two different tools to generate them and stuck with the one that produced the best results. The combination produced a very low false discovery rate (less than a quarter of a p

Ars TechnicaJul 31
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UK may ban social media for children under 16
Technology
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socialbannedadmits

UK may ban social media for children under 16

For Arlan Rakhmetzhanov, 19, there is no middle ground. Either he builds a company as valuable as Google, he says, or he fails and ends up on the streets. He started coding at 15 in his native Kazakhstan, completed a couple of summer programs in San Francisco, and cold-DM’ed every Y Combinator founder he could find on LinkedIn until one gave him an angel check for his first company at age 17. That company, now the YC-backed Nozomio, is an API index for AI agents — a tool that helps AI agents find and use software services — and has raised more than $6 million in funding to date. “I either win or lose, and a lot of young founders have the same mindset,” he told TechCrunch. “They just want to win.” Young founders like Rakhmetzhanov are building under a new set of pressures. Investors are throwing more capital at them, yet the expectation to hit that “north star” milestone — the one big number investors are chasing — hasn’t relaxed, and every misstep along the way is now publicly dissected on social media. While Silicon Valley VCs have always famously loved backing young college dropout founders, they preferred to see them paired with technical founders, or at least to have some experience — ideally with a FAANG company (Meta, Amazon, Apple, Netflix, and Google) — on their résumés. In many ways, that is still very true. But AI tools have democratized the opportunity to build, shortening the timelines of success and enabling more young people to start successful companies without stepping foot inside a Big Tech company. Pranjali Awasthi, 19, is an example of that. She dropped out of high school to launch an AI startup, then attended Georgia Tech before dropping out of that, too, to launch Slashy, a YC-backed startup that bills itself as the “Cursor for emails” and helps consumers manage their email inboxes. After more than a year running that company, she recently announced she’s now building yet a new startup currently in stealth. When she was younger, around 14 or 15, she recalled, investors whom she would pitch often asked why she was looking to build a company. “It’s gotten more normal now,” she said, “post-18.” It seems more than ever, investors look to founders like Awasthi, whose experiences can be traced through “GitHub activity, open-source contributions, communities they’ve already built, and familiarity with all the latest tools in AI,” Ashley Smith, a general partner at the early-stage firm Vermilion, told TechCrunch. “A lot of young developers learn how to build software through contributing to open-source projects or toying around with the latest AI tooling,” she explained. “They have more time to do that while in college or younger than someone with a full-time job and a mortgage.” Smith said a “meaningful” share of her portfolio consists of companies founded by those under 30, with a handful even younger than 21, she said, adding that she’s “clearly not skeptical of youth.” “What they lack in experience, they make up for in excitement to experiment and lack of fear,” she continued. But she admits the market has become more merciless. “It doesn’t give you room to learn slowly anymore,” she said. There are more funding opportunities than ever, regardless of age — accelerators, incubators, pre-seed funds. But that money comes with strings attached: Founders like Rakhmetzhanov and Awasthi, flush with millions in cash, are expected to deliver growth in months, not years. “The forgiveness that used to exist at an early stage and the assumption you’d iterate your way to product-market fit doesn’t exist right now,” Smith continued. “Everyone is looking for the next Cursor, even though that growth trajectory is an outlier, not the norm.” For many founders — especially those building in public — the relentless strain to succeed can lead to murky ethical territory, or even predatory deal terms, since younger founders are often too new to the game to know what’s standard, yet ambitious enough to chase growth at all

TechCrunchJul 31
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What to Do in LA if You’re Here for Business (2025)
Technology
17updates
helpcitybuilding

What to Do in LA if You’re Here for Business (2025)

Rivian spinoff Also will finally start delivering its first e-bikes to customers next week, after months of delays related to unspecified supply chain issues. The company told TechCrunch on Friday that the Launch Edition of its TM-B e-bike, which retails for $4,500, has started shipping from its manufacturer to its warehouse in the U.S. Also said it expects to deliver all Launch Edition bikes between next week and September. Also began as a skunkworks project inside Rivian in 2022, after CEO RJ Scaringe started looking into making an e-bike to complement his portfolio of electric vehicles for the outdoorsy set. The company spent a few years tinkering with the idea, and even hired Jony Ive’s design firm LoveFrom to help with an early design, as TechCrunch first reported in 2025. In March 2025, Rivian spun out Also as its own company, with $105 million in backing from Eclipse. The startup revealed its first e-bike, the TM-B, in October of last year. It originally targeted a “Spring” 2026 ship date, but supply chain headaches got in the way, and the company pushed the delivery window to July. “The primary factor driving our updated summer timeline is current stress on global supply chains. A rapid, industry-wide spike in demand for raw materials and electronic components has impacted key parts required for the TM-B. This has temporarily delayed our planned manufacturing ramp-up and pushed our first delivery dates past our original spring window,” the company wrote in June on a support page. “Our engineering and production teams are working around the clock to minimize these constraints without cutting a single corner on safety or quality.” Also declined to say what components, specifically, caused the delay. Also has big plans beyond the TM-B. The startup mostly refers to itself as a “vehicle” company, and has plans to make four-wheel pedal-assist cargo vehicles for Amazon. The company is working on an autonomous delivery vehicle for DoorDash, too. But for now, Also needs to focus on delivering its first e-bikes while navigating the next set of headaches for a company shipping products like these: customer service. On Friday, the last day of July, a number of customers were venting in a thread in the r/ALSOmicromobility subreddit about the repeated delays. “I’m really frustrated by the lack of communication and the actual miscommunication/lies from Also regarding shipment timelines,” the original poster wrote. “Why do they keep making these promises about shipping timelines just to blow right past them without any communication or actual updates? It really makes no sense.” “Hey we’ve still got a few business hours left in July. Maybe we’ll get an email later this morning ☺️,” a different user responded. Not everyone was so patient. “Couldn’t wait any longer and canceled my reservation,” another wrote. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence. Sean O’Kane is a reporter who has spent a decade covering the rapidly-evolving business and technology of the transportation industry, including Tesla and the many startups chasing Elon Musk. Most recently, he was a reporter at Bloomberg News where he helped break stories about some of the most notorious EV SPAC flops. He previously worked at The Verge, where he also covered consumer technology, hosted many short- and long-form videos, performed product and editorial photography, and once nearly passed out in a Red Bull Air Race plane. You can contact or verify outreach from Sean by emailing sean.okane@techcrunch.com or via encrypted message at okane.01 on Signal. View Bio

TechCrunchJul 31
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Sam Altman isnt the only one who wants to pump the brakes on AI
Technology
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wantsaltmanonly

Sam Altman isnt the only one who wants to pump the brakes on AI

After years of pushing full speed ahead on AI, OpenAI CEO Sam Altman says maybe it’s time for the AI industry to “pace” itself. The comments came just days after one of OpenAI’s own models broke out of its test environment and got tangled up in a breach at Hugging Face — though as Equity’s hosts point out, sloppy security seems to have been just as much to blame as the model itself. And Altman’s not alone in this stance: both OpenAI and Anthropic have come out in support of a petition echoing that same message. Watch TechCrunch’s Equity podcast hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into whether the industry is ready to pump the brakes or just temporarily spooked, and who’s on the hook when a model goes rogue. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Topics Theresa Loconsolo is an audio producer at TechCrunch focusing on Equity, the network’s flagship podcast. Before joining TechCrunch in 2022, she was one of 2 producers at a four-station conglomerate where she wrote, recorded, voiced and edited content, and engineered live performances and interviews from guests like lovelytheband. Theresa is based in New Jersey and holds a bachelors degree in Communication from Monmouth University. You can contact or verify outreach from Theresa by emailing theresa.loconsolo@techcrunch.com. View Bio Subscribe for the industry’s biggest tech news

TechCrunchJul 31
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Rocket engine startup Impulse raises $500 million to hire people, not AI
Technology
36updates
helpchinaopenai

Rocket engine startup Impulse raises $500 million to hire people, not AI

Ellis AI announced Thursday its emergence from stealth with $10 million in seed funding from investors including First Round Capital, 645 Ventures, Harlem Capital, Khosla Ventures, Thrive Capital, Slow Capital, and Ariel Alternatives CEO Mellody Hobson. Ellis uses AI agents to tackle the fragmented workflow private credit managers deal with, including managing documents, spreadsheets, and correspondence. The company was founded by Ryan Williams, best known for co-creating the real estate investment platform Cadre alongside Josh and Jared Kushner back in 2014. That company raised more than $160 million in funding and, at its peak, was valued at $800 million before being sold for an undisclosed sum to the alternative investment company Yieldstreet in 2024. “At Cadre, I saw the next major constraint,” Williams said. “Even as the front end of private markets became more modern and accessible, the operating infrastructure underneath it remained fragmented.” He started working on Ellis last year. The company seeks to connect and centralize all the scattered software, accounting information, and documents a private credit firm would use into one easily accessible platform. The system can flag discrepancies in the data and uses AI agents to help perform tasks like portfolio monitoring and preparing reports. For example, Williams promises the agents can help close a fund’s books at the end of the month. “A team may have to download files from several systems, reformat the data, compare balances, investigate discrepancies, and re-enter information by hand. In many firms, Excel becomes the operating system,” he continued. “Ellis connects to the systems and documents a firm already uses rather than forcing it to rip everything out and start over.” It keeps a human in the loop, too, he says. “Material decisions and actions remain with the human experts,” he said. “I expect the human loop to become narrower, but not disappear,” he continued, when asked if he sees a day when the AI works fully autonomously. “Our goal is not to replace human judgment; it’s to help people cut through the noise and make educated decisions faster.” When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence. Dominic-Madori Davis is a senior venture capital and startup reporter at TechCrunch. She is based in New York City. You can contact or verify outreach from Dominic by emailing dominic.davis@techcrunch.com or via encrypted message at +1 646 831-7565 on Signal. View Bio

TechCrunchJul 31
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SJY Zeph Open-Back Headphones Review: Music Through Magnets
Technology
reviewmusicheadphones

SJY Zeph Open-Back Headphones Review: Music Through Magnets

The disparity is relatively subtle—like the difference between a martini that’s stirred (holes in front) as opposed to shaken (holes in the back)—but it’s definitely audible. I tend to prefer headphones with an expansive soundstage and lots of detail. Though with the SJY, I find the slightly warmer and more natural sound more inviting for long listening sessions. And these are headphones that can live comfortably on your head for long stretches.The impact of the simple switch of earpad orientation is made possible partly because of the design’s arch minimalism. The design was intended to have as few pieces as possible and to hold them rigidly in place with the goal of achieving purity of sound. The aluminum chassis, diaphragm, and driver all measure low, single-digit millimeters. The entire body that clips onto the pads combined is only as thick as a typical monthly magazine in 2026.Photograph: Martin CizmarBecause of that, these headphones feel more like a carbon steel pocketknife in the hand than a pair of ANC Bluetooth headphones. They have an impressive sturdiness and don’t feel like something you’ll worry about breaking if you fall asleep with them on. They do weigh more than a pound—at 570 grams with their cable, they’re almost 40 percent heavier than AirPods Max. They come with a padded case that has a generous layer of foam for protection and a braided cable.Despite their relative heft, I’ve had them perched on my head very consistently since the testers arrived. That’s mainly due to the detailed sound they render from the many gigs of too rarely used 24-bit Hi-Res FLACs on my desktop, as headphones like this can make old songs sound new again. And if it starts to sound old again? Just flip those earpads to have the holes on the other side, and it’s a whole new ballgame.Curve KillersThe flippable earpads are also made possible by the way they’ve been tuned. High-end wired headphones are having a bit of a renaissance, growing slowly while the rest of the audiophile market dies off around them. But they are also getting more homogenized. That’s because the major makers are aiming to tune their products along the Harman Curve, a guideline for the ideal earphone frequency response built from extensive scientific research, including blind listening.While the Harman Curve is controversial among enthusiasts on message boards, it’s been widely adopted by headphone makers who strive to get their stock tuning on target. SJY doesn’t reject the Harman Curve but has tweaked the tuning away from it and, even more interestingly, intentionally allows a listener to switch up the signature depending on the orientation of the earpads. That’s what makes them so unique in a world saturated with headphone options. After all, SJY is first and foremost an enthusiast brand, owned and operated by Jeffrey Yin, who started the company in 2020 on the day after his 18th birthday. The SJY line has four models so far, with a fifth on the way, all made by Yin himself in Houston. You don’t buy these to have just another pair of headphones. We hope that’s obvious enough.But for me, it’s as close to a perfect pair of headphones as I’ve ever owned.Power up with unlimited access to WIRED. Get best-in-class reporting and exclusive subscriber content that’s too important to ignore. Subscribe Today.

WiredJul 31
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Technology
2updates
smartglassesglass

Apple’s Smart Glasses Will Need to Overcome Meta’s Privacy Reputation

How Meta’s AI glass puts civilian privacy at risk | Explained The Hindu The 6 Best Smart Glasses, Tested By Our Tech Team Forbes Through the looking glass: smartglasses face scrutiny 1News AI devices that see, listen and record: Are we ready for the post-smartphone world? | CNN Business CNN Do you consent to being filmed by AI glasses? The Mountaineer

The HinduJul 31
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Judge says Trump admin still lacks evidence for Anthropic ‘supply chain risk’ label
Technology
4updates
trumpclaudestill

Judge says Trump admin still lacks evidence for Anthropic ‘supply chain risk’ label

Anthropic disclosed on Thursday that its AI models gained unauthorized access to the systems of three different unnamed organizations during cybersecurity testing. The company says Claude reached the internet “from within or while interacting" with a third-party evaluation environment. The announcement comes more than a week after OpenAI revealed that one of its AI agents hacked into Hugging Face during a separate cybersecurity test.The discovery came after Anthropic decided to conduct “a large-scale retrospective review of our own cybersecurity evaluations” following the OpenAI incident, according to a blog post Anthropic published Thursday. The AI lab says it first identified 141,006 tests in which it determined that Claude could have obtained internet access. It then found that three different Claude models accessed the internet in evaluations run by the third-party AI testing firm Irregular, and then hacked into the production infrastructure of three different organizations.Anthropic said that the incidents involved Opus 4.7, Mythos 5, and an internal research test model. The earliest incidents happened in April—meaning they likely went unnoticed publicly for months. Just like in the OpenAI case, Anthropic had deliberately turned off safeguards designed to constrain the AI models and prevent them from being misused. In other words, these weren’t the versions released to the public.“In all three incidents, Claude had been tasked with a capture-the-flag challenge, one of the ways we assess a model’s cyber capabilities,” Anthropic said in its blog post. The company added that in all of the cases, “Anthropic’s evaluation prompt specified to Claude that its environment was a simulation and that it had no internet access.” It attributed the oversight to a “misunderstanding” between Anthropic and Irregular.While Claude wasn’t supposed to have internet access, Anthropic said that Irregular had misconfigured the machines that it was using to test Claude, giving the AI models the ability to surf the web. “Neither we nor our evaluation partner were aware of this misconfiguration until we detected it through our additional evaluation monitoring last week,” Anthropic said in the blog post.“We now have evidence confirming that both of the two largest AI labs have not only failed to contain their agents, but also failed to detect their jailbreaks in real time,” says Jake Williams, vice president of research and development at Hunter Strategy. “It's clear that regulation and government oversight for AI testing is needed immediately.”Irregular and Anthropic did not immediately respond to requests for comment.Unlike in the OpenAI case, Anthropic said that Claude did not find or exploit any complex vulnerabilities. Instead, it relied on basic techniques, “such as exploiting weak passwords and unauthenticated endpoints.”OpenAI said that its AI agent accessed the internet by exploiting a zero-day vulnerability. But it went on to access the systems of multiple third-party organizations using the same variety of everyday cybersecurity weaknesses as Anthropic’s models. Specifically, OpenAI said the AI agent apparently found credentials that had been exposed on the open internet.Anthropic acknowledged that if the AI lab and its testing partner implemented more “defense-in-depth” measures, they could have prevented the incidents, or at least reduced the likelihood of them occurring, echoing OpenAI’s response to mounting criticism over its own incident.“I don't understand how any of these AI labs are playing this off like this is 'just something that happens,'” Williams says. “It's not. It's negligence.”The AI lab stressed that the models were told they didn’t have access to the open internet, and for the most part, Claude mistook the organizations it accessed as being part of the testing environment. Put differently, the models largely didn’t understand that they had escaped containment to begin with.But in some cases, the AI models knew that somet

WiredJul 31
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The week in telecom: OnePlus exits tough smartphone market and Apple takes on OpenAI
Technology
5updates
betsallegedafter

The week in telecom: OnePlus exits tough smartphone market and Apple takes on OpenAI

As the generative AI boom drives steep demand for hardware components, Apple and other hardware makers are facing what outgoing CEO Tim Cook calls “a hundred-year flood [on] memory pricing,” which is severely impacting the cost of producing iPhones, MacBooks, and other devices. Apple described its recent earnings report as its “strongest June quarter ever,” with iPhone and Mac sales performing better than expected, growing 22% and 29% respectively year over year. Yet the company is bracing for memory shortages, known as RAMageddon, to get even worse. Apple’s biggest challenge is securing the advanced memory nodes used in its Apple silicon chips, which power the A-Series and M-Series processors used in iPhones and Macs. “We continue to expect high levels of demand. However, with less flexibility in supply chain, we expect the impact from the supply constraints to increase significantly sequentially,” Cook said on Apple’s quarterly earnings call. “We’re seeing some very significant constraints currently with limited flexibility in the supply chain to remedy it.” Apple is evidently worried enough about supply shortages that it reported $11.1 billion in inventory, nearly double the $5.7 billion it reported last September. This marks a break from Cook’s long-held supply chain approach, which has emphasized minimizing how much inventory Apple has on hand. These constraints led Apple to “reluctantly” raise the price of Macs and iPads last month, Cook added. Other companies that have raised hardware prices include Meta, Samsung, Microsoft, and Sony. “We’re going to be scrambling on the supply side, essentially,” Cook said. For the upcoming quarter, Apple is predicting revenue growth between 9% and 11% year over year. But in the last several quarters, Apple has maintained about 16% year-over-year growth. Of course, that worries investors — Apple stock dropped 6% in after-hours trading. When Senior VP of Hardware Engineering John Ternus steps into the CEO role in September, the company could be facing a rough patch, but at least Apple isn’t alone in its supply struggles. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence. Amanda Silberling is a senior writer at TechCrunch covering the intersection of technology and culture. She has also written for publications like Polygon, MTV, the Kenyon Review, NPR, and Business Insider. She is the co-host of Wow If True, a podcast about internet culture, with science fiction author Isabel J. Kim. Prior to joining TechCrunch, she worked as a grassroots organizer, museum educator, and film festival coordinator. She holds a B.A. in English from the University of Pennsylvania and served as a Princeton in Asia Fellow in Laos. You can contact or verify outreach from Amanda by emailing amanda@techcrunch.com or via encrypted message at @amanda.100 on Signal. View Bio

TechCrunchJul 30
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Technology
28updates
helpmoreover

Everyone is navigating AI security in real time even Google

New Google Pixel 11 Pro Fold renders leak - GSMArena.com news GSMArena.com Google's new Pixel 11 Pro teaser offers a better look at the Pixel Glow feature - GSMArena.com news GSMArena.com Google confirms Pixel 11 price increase, reveals ‘dedicated’ effort to make Android more RAM-efficient 9to5Google Google Pixel 11 Explained: What Google Has Confirmed and What the Rumors Say TechRepublic Google's Pixel 11 Pro teaser taunts iPhone owners to make the switch to Android this year Deccan Herald

GSMArena.comJul 30
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