Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
Online advertising firm Adform suffered a supply-chain attack that delivered cryptocurrency-stealing scripts to websites using its ad platform, replacing wallet addresses copied to visitors’ clipboards with ones controlled by an attacker.
Adform is one of Europe’s largest adtech firms, providing a full-stack platform that includes Demand-Side Platform (DSP), Supply-Side Platform (SSP), ad servers, and management tools.
Security researcher Kevin Beaumont discovered the malicious activity, saying that it stemmed from ‘trackpoint-async.js,’ Adform’s JavaScript tracking script served from ‘s2.adform.net’ and embedded in every website using the advertising platform.
According to the researcher, the trojanized JavaScript continuously monitors the clipboard of users visiting websites that embed trackpoint-async.js.
If the script detected Bitcoin, Ethereum, or TRON wallet addresses, it replaced them with an attacker-controlled address to redirect cryptocurrency payments.

“This allows end-user devices of downstream websites to be compromised with crypto-stealing malware. Meaning if you visit example.com and they use Adform, example.com will compromise your device,” Beaumont explains.
The researcher also observed other malicious Adform-hosted scripts communicating with an attacker-controlled server at 84.32.102[.]230:7744, sending the victim’s IP address, referring website, and URL path.
Running the script through the VirusTotal scanning platform shows that it is not flagged as malicious by any of the available antivirus engines.

Beaumont notes that the malicious code was removed from Adform’s tracking script soon after his discovery.
Adform confirmed its detected suspicious activity on July 27 and discovered a “cybersecurity threat.” The company said that it removed the malicious code and “took further measures to protect website visitors, our clients, and the Adform platform.”
“To our knowledge, the code was not designed to install software on a user’s device or establish persistence. It operated only while an affected webpage was open,” Adform says.
The company states that its services are now safe to use but its investigation continues.
Individuals who visited websites that embedded the “affected Adform technology on 27 July 2026” are impacted and the recommendation is to clear browser cookies to eliminate the malicious code.
“Adform has informed affected clients through dedicated communications and provided them with relevant information and recommended actions.”
Beaumont has shared a sample of the malicious script via Pastebin for security engineers to analyze.
BleepingComputer’s analysis of a sample stored on Archive.org also confirmed that a self-executing payload had been injected into the Adform tracking library served from the company’s infrastructure.
The malicious code was appended in obfuscated form at the end of the legitimate library and included a function that replaced any string matching a crypto wallet address format.
Apart from hijacking clipboard content, the malware can also rewrite wallet addresses on web pages. This way, if a payment address is displayed, it would be the attacker’s.
Beaumont says the malicious activity delivered through Adform has been ongoing for the past week without being detected. The oldest sample BleepingComputer could find was from from the Archive.org snapshot on July 26, taken at 23:29:03 GMT.
BleepingComputer has contacted Adform to request a statement regarding Beaumont’s findings and will update the story if we receive a response.
Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
To confirm that the observed signal was indeed caused by a moon, the research team also examined other possible factors. These included apparent periods resulting from errors in corrections for Earth’s orbital motion, seasonal variations in atmospheric conditions, and the effects of the brown dwarf’s own rotation.
Furthermore, calculations of the Roche limit—the boundary beyond which a satellite would be torn apart by the brown dwarf’s tidal forces—and the Hill radius—the radius of the brown dwarf’s gravitational influence—confirmed that the satellite’s orbit falls within a range where it can exist in a physically stable manner.
According to the researchers, this is the first evidence of a satellite orbiting a brown dwarf companion obtained using this method. A few months earlier, another team had gathered clues suggesting the presence of a satellite during observations of the HD 206893 star system using the VLT Interferometer but had not yet achieved a definitive detection.
The object discovered in this study occupies a unique position that cannot be fully understood using the conventional framework for moons in our solar system. “We have a clear delineation between the planets and the Sun in the Solar System, so defining things like moons is simple,” says Alice Zurlo, an astrophysicist at Diego Portales University, in a news release. “In the CD-35 2722 system, where we are blurring the lines between stars, planets, and moons, the whole thing becomes more complicated to describe.”
It remains unclear whether this object should be called a moon. ESO also notes that there is no officially recognized definition for exomoons and the researchers use the term “exosatellite.” The paper itself acknowledges that it is uncertain whether this object will meet future criteria to be considered a moon, but that the discovery is a step toward creating a definitive detection.
Researchers believe this discovery will serve as a catalyst for identifying new directions in future theories of planet formation and celestial mechanics. Furthermore, if there are smaller, rocky moons like the one in the new paper, they could be subjected to tidal heating from brown dwarfs, potentially creating environments suitable for life even at greater distances from their stars—a development that might also have implications for the search for extraterrestrial life.
It’s also possible that once the next-generation Extremely Large Telescope equipped with a 39-meter primary mirror is completed, it will be possible to detect even smaller exomoons.
This story originally appeared on WIRED Japan and has been translated from Japanese.
For years, India was the world’s largest app download market but one of its toughest places to make money. That is beginning to change as Indian consumers spend more on AI, entertainment, and other premium apps.
India’s mobile app market generated a record $345 million in consumer spending during the second quarter of this year, up 35% from a year earlier, according to a new report by Sensor Tower. The app-market intelligence firm said the gains were increasingly driven by generative AI, streaming, and productivity apps rather than gaming, as Indian consumers became more willing to pay for digital subscriptions.
The record quarter builds on a broader trend of rising app monetization. India’s revenue per download has more than doubled over the past three and a half years, while quarterly app downloads have remained at around 6.3 billion since 2023.
“We would describe India today as a rapidly evolving mobile market with a large user base and growing willingness to pay for digital services,” Eve Chen, an insights analyst at Sensor Tower, told TechCrunch.
Chen attributed the change to the wider adoption of digital payments, including India’s Unified Payments Interface (a system that lets people pay directly from their bank accounts) and digital wallets, which have reduced friction for in-app purchases, alongside growing acceptance of app-based subscriptions and premium digital services.
The trend also stands out globally. India’s app revenue saw its fastest growth in Q2 among major app markets, generating more than $200 million in quarterly consumer spending, per Sensor Tower’s data shared with TechCrunch. In contrast, Mexico grew 30% and Turkey 25%, while U.S. app revenue actually declined 3% over the same period.
“These figures suggest that India is no longer just the world’s largest market by downloads, but is also emerging as one of the fastest-growing markets for app monetization,” Chen told TechCrunch.
India still trails more mature app markets by a wide margin. Revenue per download stands at about $4.60 in the U.S., $3.90 in South Korea, and $6.10 in Japan, compared with a small fraction of that in India. Nonetheless, Chen said the trajectory matters more than the absolute level, with India’s steadily improving monetization suggesting significant room for long-term growth.
Generative AI has emerged as one of the fastest-growing segments, with OpenAI’s ChatGPT and Anthropic’s Claude together accounting for nearly 83% of India’s AI app revenue in Q2, according to Sensor Tower’s data shared with TechCrunch.
Much of India’s app revenue growth is also being driven by non-gaming apps. Non-gaming categories, Sensor Tower said, accounted for 68% of India’s mobile app revenue in the first half of 2026, up from 58% three years earlier.
The latest data also suggests global subscription apps continue to be among the biggest beneficiaries of rising app spending in India, with Google One becoming India’s highest-grossing mobile app during the quarter. Streaming platforms such as Amazon Prime Video, Crunchyroll, Sony LIV, and JioHotstar also saw growing consumer spending. Gaming also bucked the global trend, with revenue rising 3.7% from the previous quarter despite a worldwide decline, per Sensor Tower.

App intelligence firm Appfigures also sees India’s app subscription market continuing to grow, although it says the pace has slowed after an AI-fueled surge over the past two years. Subscription revenue is still rising, but much of the initial excitement around AI has abated, Ariel Michaeli, the company’s founder and CEO, told TechCrunch.
“The numbers are still staggering,” Michaeli added. Appfigures estimates that ChatGPT generates about $60,000 a day in India and attracted around 1.8 million downloads over the past month, although that’s down from roughly $80,000 a day last October.
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Apple captured 49% of global smartphone revenue in the second quarter despite accounting for only 23% of shipments, showing how much more money the iPhone generates per device than competing smartphones.
The company’s iPhone revenue climbed 22% year over year in the second quarter, the fastest increase among the five largest brands, according to preliminary data from Counterpoint Research. Its share of global smartphone revenue reached a second-quarter record of 49%, up from 44% a year earlier.
Apple’s growth came from higher shipments and a more expensive sales mix. Counterpoint’s latest report estimated that shipments rose 13% from a year earlier, while Apple’s average selling price increased 8% to $946.
Counterpoint attributed the performance to sustained demand for the iPhone 17 lineup, particularly the base iPhone 17 and iPhone 17 Pro Max. Demand for the two models helped keep Apple’s product mix concentrated on premium devices without requiring the steep price increases imposed by some competitors.
The research firm said Apple’s largely stable pricing improved the iPhone’s value as memory costs rose across the industry. Many Android manufacturers depend more heavily on entry-level and midrange devices, where price increases can quickly weaken demand.
Apple gained a similar advantage in China, where rising Android prices made discounted iPhones more competitive. The regional results support Counterpoint’s argument that pricing helped Apple gain ground, although they do not prove that every market followed the same pattern.
Apple’s premium product mix and ability to absorb higher component costs gave it an advantage over several rivals. The company increased both estimated revenue and shipments even as the broader smartphone market shipped fewer devices.
Global smartphone shipments declined during the quarter, but total revenue increased 7% year over year to a second-quarter record of $109 billion. The industry’s average selling price rose 17% to $400 as price increases and a greater share of premium devices lifted the amount earned from each sale.
Counterpoint’s latest chart gave Apple a record 23% share of second-quarter shipments. Apple’s revenue share remained much higher because the average iPhone sold for substantially more than devices from competing manufacturers.
The shipment estimate differs from a Counterpoint report published July 13, which put Apple’s growth at 3% and its market share at 20%. Counterpoint has not explained whether the newer preliminary figures reflect revised data or a difference in methodology, so the 13% growth estimate should not be treated as settled.
Apple’s market performance came alongside a strong fiscal third quarter that ended June 27. The company’s record earnings included $54.25 billion in iPhone revenue, up 21.7% from a year earlier.
Samsung ranked second with 16% of global smartphone revenue. Its estimated revenue and shipments each increased 9%, while its average selling price remained roughly flat at $270.
Demand for Samsung’s Galaxy A-series supported shipment growth, while the Galaxy S26 lineup strengthened its premium business. Counterpoint also credited Samsung’s vertical integration and control over component sourcing with helping it limit price increases.
Xiaomi recorded the steepest shipment decline among the five largest brands, falling 26% year over year. Its revenue dropped 17% even as its average selling price rose 13%.
OPPO and vivo posted revenue declines of 10% and 11%, respectively, despite higher average selling prices. Falling shipments outweighed the additional revenue each company collected per device.
The results show the limits of relying on higher prices in cost-sensitive parts of the market. Xiaomi, OPPO and vivo shifted toward more expensive devices, but the higher average selling prices did not offset their shipment declines.
Apple remained relatively insulated from rising component costs during the second quarter, according to Counterpoint. The research firm expects Apple to raise iPhone prices in coming quarters as memory shortages continue.
Separate Counterpoint estimates suggest rising DRAM and NAND costs could add hundreds of dollars to the production cost of the iPhone 18 Pro Max. The projected increases have not translated into confirmed retail pricing, but higher component costs could make Apple’s current advantage harder to maintain.
Counterpoint also expects global smartphone shipments to decline more sharply during the second half of 2026. The firm said limited supplies are becoming a greater constraint as manufacturers face persistent memory shortages and higher costs.
The second-quarter results show that Apple benefited by holding prices steadier than several Android rivals while continuing to sell more premium models. Apple may struggle to preserve that combination if component costs eventually force broader iPhone price increases.
Looking for the best movies to stream this weekend on HBO Max? You have landed in the right place. Max holds a treasure trove of hidden gems that deserve a spot on your watchlist. This week we have a dark comedy, a heartfelt drama, and an unforgettable Studio Ghibli masterpiece. So, grab your favorite snacks and dive into these three fantastic films currently streaming on Max.
We also have guides to the best new movies to stream, the best movies on Netflix, the best movies on Hulu, the best free movies, and the best movies on Amazon Prime Video.
Genre: Dark comedy, drama
IMDb rating: 7.1/10
Rotten Tomatoes: 97%
Literature professor Agnes Ward (Eva Victor) struggles to rebuild her quiet life in Maine following a deeply traumatic incident at her university. When her pregnant best friend Lydie (Naomi Ackie) comes for an extended visit, Agnes confronts how isolated and paralyzed by grief she has become.
This underrated movie on HBO Max moves between the present and flashbacks to show how Agnes has learned to function around her trauma. I really liked how the friendship between Agnes and Lydie carries the entire film, giving Agnes an anchor without ever solving her pain for her.
You can watch Sorry, Baby on HBO Max.
Genre: Drama
IMDb rating: 7.6/10
Rotten Tomatoes: 96%
Moonee (Brooklynn Prince) is a six-year-old living with her young mother, Halley, in a budget motel just outside Walt Disney World. While Moonee spends her summer running wild with the other kids, Halley’s financial situation quietly unravels, forcing her into increasingly desperate choices to keep a roof over their heads.
Director Sean Baker shoots the film almost entirely from Moonee’s height, keeping the camera locked into a child’s perspective on an adult crisis. I liked the vibrant cinematography that captures pure childlike wonder right alongside hardship without losing its tender spirit.
You can watch The Florida Project on HBO Max.
Genre: Animated, coming-of-age, drama
IMDb rating: 7.8/10
Rotten Tomatoes: 95%
This Studio Ghibli movie follows Shizuku, a middle schooler who is also an avid reader. She notices that every library book she checks out was previously borrowed by the same boy, Seiji. Her search to find him pushes her to question what she actually wants from her own future, not just his.
Unlike most Studio Ghibli films, this one skips fantasy entirely and stays grounded in an ordinary Tokyo suburb. What really impressed me was how delicately the story captures the quiet uncertainty of teenage artistic ambition.
You can watch Whisper of the Heart on HBO Max.
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 costs. To keep up, revenue numbers start to look inflated, while content creation for social media starts to crowd out writing good code. The excessive posturing is perhaps inevitable, since getting attention is now harder than ever in a crowded AI market.
It’s all about who can convince “the most people [they] are smarter than everyone else in the space,” Smith said, “and make the most noise about it.”
“In 2004, you could quietly iterate for years without anyone watching,” Awasthi added. “Now there is this constant ambient pressure from LinkedIn and Twitter where every raise, every milestone, every pivot is public.”
That means some young founders aren’t just worried about hitting competitive revenue marks or funding valuations — they’re also under pressure to perform the appearance of being a successful founder. That pressure has always existed in startup culture, but founders say it’s grown more extreme. “If you’re a startup and you’re competing in a market, usually you worry about incumbents,” Timothy Chen, an investor at Essence Ventures, told TechCrunch. “Now you worry about your neighbors.”
For example, “everybody’s doing shiny, good-looking launch videos,” he noted. “It wasn’t even a thing three years ago.” The trend was popularized by Cluely founder Roy Lee, now around age 22, whose startup initially promised to help students cheat on exams — a premise that dazzled investors like Andreessen Horowitz and helped the company raise $20 million.
Though Cluely is now more of a note-taking tool, Lee became a face of young Silicon Valley talent. “The pressure is coming from, ‘I need to show off much better, quick,’” Chen continued.
Not hitting the bar has bred new anxiety. “When Zuck was building Facebook, there wasn’t this huge negative social ecosystem,” Aidan Guo, 20, told TechCrunch. He’s the co-founder of the AI desktop assistant startup Attention Engineering, which has raised around $1.6 million in funding to date.
Much of the strain, as he describes it, is self-imposed. “You already have a constant fear of failure on your mind. You have to steer the ship and learn all these things as you go. And everything can always go wrong at once,” he continued. “And then you have all these people piling on anything you do wrong. I think people need to be more empathetic.”
Amid all that pressure, Awasthi takes a page from the old days. “If you focus your time on what needs to get done, it’s not too hard,” she said.
“The best product that stays active and talks to customers wins,” Rakhmetzhanov added.
In the end, all the founders are describing the same thing: The fundamentals of a good startup haven’t changed — “conviction, intellectual honesty, and obsession with the customer,” as Smith put it. None of that has anything to do with age.
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Today’s Strands puzzle was kind of tough, with some really long clues to unscramble. If you need hints and answers, read on.
Today’s Strands theme is: “As if!”
If that doesn’t help you, here’s a clue: Ha ha!
Your goal is to find hidden words that fit the puzzle’s theme. If you’re stuck, find any words you can. Every time you find three words of four letters or more, Strands will reveal one of the theme words. These are the words I used to get those hints, but any words of four or more letters that you find will work:
These are the answers that tie into the theme. The goal of the puzzle is to find them all, including the spangram, a theme word that reaches from one side of the puzzle to the other. When you have all of them (I originally thought there were always eight, but learned that the number can vary), every letter on the board will be used. Here are the nonspangram answers:

Today’s Strands spangram is GETREAL. To find it, start with the G that’s the first letter on the top row, and wind diagonally down.
OFF-PREM
Cloud revenue now north of $143 billion a quarter, and growth is accelerating
Cloud infrastructure services grew at their fastest for eight years during the second quarter of 2026, thanks to the AI craze and continued demand for flexible and scalable IT infrastructure.
According to the latest figures from Synergy Research, enterprise spending on cloud infrastructure passed $143 billion in Q2, a year-on-year growth rate of 43 percent. This followed 11 successive quarters of increasing growth rates, during which the market has now doubled in size.
Synergy says that total market revenues for the preceding 12 months add up to an impressive $500 billion. Public IaaS and PaaS platforms account for the bulk of this, and these expanded by 47 percent during Q2.
While cloud-based services have been growing at quite a decent rate for some time as organizations expand their IT using this route, the introduction of AI services has given them an extra boost.
“AI has, of course, driven most of that incremental growth, and we now see year-on-year growth rates of 165 percent for AI-specific cloud services. It is the handful of leading cloud providers and neoclouds who are mostly benefiting from that market acceleration,” comments Synergy chief analyst John Dinsdale.

And the top three global players continue to dominate the market, with Amazon Web Services (AWS), Microsoft Azure and Google Cloud together accounting for 67 percent of all the cloud revenue during the quarter.
That percentage has increased since the third quarter of last year, when the triumvirate made up 63 percent of enterprise cloud infra spending.
AWS is still the largest beast in this sector of the compute arena, taking 28 percent of the market, but its lead over Microsoft is now less impressive, with the Redmond giant making up another 20 percent. Google remains in third place on the global stage, at 15 percent.
Among the tier two cloud providers, Synergy reckons those with the highest growth rates include CoreWeave, Oracle, Crusoe, Nebius, and Nscale. However, Oracle accounts for 4 percent of market share, while CoreWeave is another 2 percent.
Other firms with a market share of 1 percent (to the nearest percentage point) include IBM, Akamai, Baidu, China Mobile, China Telecom, China Unicom, Snowflake, Tencent, and SAP.
Synergy says that nine rent-a-gpu neocloud operators are now among the top 40 cloud providers, based on service revenue.
Geographically, the US remains the world’s largest cloud market by some margin, and its share is actually increasing, growing by 49 percent in Q2, well above the worldwide average. Other countries growing at above the average include India, Indonesia, Ireland, Thailand, and Malaysia. In Europe, the largest cloud markets remain the UK and Germany, but the fastest growing markets are Ireland, Norway, Denmark, and Finland.®
Every year, Apple adds a handful of camera features to the iPhone Pro line that sound impressive on paper but change almost nothing about how the phone is actually used. ProRes RAW is not one of those features.
It’s the first time a smartphone has shipped with true RAW video capture, and after spending real time pulling iPhone 17 Pro Max footage into DaVinci Resolve, I don’t think that claim is marketing spin.
Every video an iPhone has ever recorded, including previous ProRes modes, has baked-in decisions the camera made at the moment of capture: white balance, exposure curve, and color rendering.
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Once that’s baked in, pulling it back apart in the edit only gets you so far before the image starts falling apart, blocking up in the shadows or clipping in the highlights.
ProRes RAW skips that step entirely. It preserves the sensor’s raw data, including ISO, shutter speed, and white balance, as separate, adjustable metadata rather than a fixed look.
That’s the same fundamental idea behind RAW photo capture, applied to video for the first time on a phone, and it’s why cinema cameras costing tens of thousands of dollars have shot this way for years.
The real test of a RAW format isn’t whether it looks good straight out of the camera. It’s how far you can push it in the grade before it breaks.
I shot the same handheld run-and-gun setup I’d normally use with a mirrorless camera: mixed lighting, a blown-out window in the background, warm tungsten practicals in the foreground. In standard ProRes, that shot is a compromise from the moment you press record.
In ProRes RAW, I was able to pull the window back from clipping, cool down the tungsten cast, and lift the shadows on the foreground subject’s face without introducing any banding or noise that was unmanageable.
That flexibility is exactly what colorists mean when they talk about grading cinema camera footage, and it’s genuinely new territory for a phone. This isn’t a LUT slapped over Apple’s existing color science.
It’s the same underlying control a Blackmagic or RED shooter works with, just captured on a device that also makes phone calls.
ProRes RAW isn’t available in the stock Camera app. You’ll need Apple’s free Final Cut Camera app, which added ProRes RAW support alongside genlock sync in its 2.0 update, or Blackmagic’s Camera app, which has also added native support. Apple has published an API as well, so expect other third-party camera apps to add compatibility over time.
Worth knowing before you start filling a card: ProRes RAW files are large, though Apple has kept the format more compressed than ProRes HQ to keep storage demands from becoming completely unmanageable.
Apple’s answer for anyone shooting seriously is a new 2TB storage option, exclusive to the Pro Max, and if you’re planning to shoot RAW regularly, it’s worth budgeting for.
None of this makes the iPhone 17 Pro Max a replacement for a dedicated cinema camera, and it isn’t trying to be. The sensor is still a phone sensor, with the dynamic range and low-light ceiling.
That implies, and RAW footage demands, a real editing workflow rather than a quick export to social media. If you’re not already grading footage in DaVinci Resolve or Final Cut, ProRes RAW won’t mean much to you day to day.
But for anyone who already treats their iPhone as a genuine second camera body, this update changes the relationship between what the iPhone captures and what you can do with it afterward.
That’s a bigger deal than another megapixel bump or another zoom range, and it’s the iPhone 17 Pro Max feature I’ve found myself using the most.
Need some help with today’s Mini Crossword? It’s a long one today. Read on for all the answers.
1A clue: Coffee choice before bed
Answer: DECAF
6A clue: Recurring bug?
Answer: CICADA
7A clue: California’s most valuable crop, just barely edging out grapes
Answer: ALMONDS
8A clue: Fist pound
Answer: DAP
9A clue: Back of a soccer goal
Answer: NET
10A clue: Carefully thought (over)
Answer: MULLED
12A clue: Brain sparks
Answer: IDEAS
13A clue: Something that might end after “Pencils down!”
Answer: TEST

1D clue: Indentations at the end of a smile
Answer: DIMPLES
2D clue: Green: Prefix
Answer: ECO
3D clue: Film festival with the Palme d’Or
Answer: CANNES
4D clue: No ___ sugar (product claim)
Answer: ADDED
5D clue: Speedy
Answer: FAST
6D clue: Anthropic’s A.I. assistant
Answer: CLAUDE
7D clue: Own up to
Answer: ADMIT
11D clue: Back muscle, for short
Answer: LAT
Inkling-Small matches or exceeds Inkling on reasoning and agentic tasks, the company said.
Nvidia-backed Thinking Machines Lab has unveiled a new open-weights model that performs “comparabl[y]” to Inkling, but at one-quarter of its size.
The company launched its first AI model Inkling earlier this month following a mega partnership with Nvidia that gave Thinking Machines access to GB300 NVL72 systems for training. The chipmaker also made a significant investment into the AI company.
Inkling-Small comes in at 276bn total parameters, with 12bn active. Compared to its bigger predecessor, the new model achieves similar performance with much less compute, said Thinking Machines. It matches or exceeds Inkling on reasoning and agentic tasks, the company added.
Artificial Analysis scores Inkling-Small 40pc on the Intelligence Index, placing it “well above average” relative to other comparable models. Inkling hits 41pc while DeepSeek V4 Flash matches Inkling-Small at 40pc. At 93 tokens per second, the model is also faster than the average, according to the benchmark.
On Humanity’s Last Exam, the new model scored above 31pc, ahead of Inkling’s 29.7pc, and on SWEBench-Verified, it crossed 80pc. The model takes text, image, and audio inputs, and outputs text.
Thinking Machines said that Inkling-Small, much like Inkling, is suited for real-world applications such as cropping, zooming and programmatic image inspection, improving usability on documents and charts where information could be difficult to read directly.
“Inkling-Small was made in pursuit of our mission to build AI that extends human will and judgement,” the company said. “Tinker customers have seen first-hand that the right fine-tuned model can outperform closed models on a variety of tasks, and do so faster and cheaper.”
The Mira Murati-led company is focused on creating highly customisable AI systems, according to its website.
Inkling is designed to be broad, the company explained at the time of its launch. “We trained it across agentic, reasoning, coding, instruction-following, factuality, vision and audio tasks, rather than narrowly optimising for one domain,” it said earlier this month.
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