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Instagram introduces a redesigned wordmark

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Instagram on Thursday introduced a new wordmark, which is the text-only logo that spells out the company’s name. The social media giant’s logic was that the older version of its logo felt dated after a decade in use.

The change was announced by Instagram head Adam Mosseri on both Instagram and Threads, where he described the new logo as “sharper and more modern” while still referencing the original and maintaining simplicity.

Although people can often be averse to change, particularly when it comes to brands and the logos they’ve long been familiar with, Instagram’s refreshed design is seeing some compliments among the complaints, noting the fresher look or praising the font choice.

ScreenshotImage Credits:Threads

While there are certainly plenty of people joking that the logo now looks like it reads “Instagzam” because of the shape of the font used for the “r,” it’s fair to say that the name “Instagram” is such a recognizable brand that most people will immediately know what this says, despite the artistic flourishes.

The wordmark’s font recalls cursive writing as it adds old-fashioned curves to the “s,” “r,” and “g,” too. This is something of an interesting choice, given that the younger generations are no longer learning to write in cursive for the most part, so may not immediately understand why the shape that looks like the sail on a little boat is actually an “s.”

The last time Instagram updated its design was 2016, when the company moved away from the classic brown camera with the rainbow stripe to the colorful pink gradient that remains the icon today.

Meta hasn’t yet responded to a request for further comment about the redesign, or whether or not we should expect other design changes to come to Instagram in time, like a new app icon.

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AI Scale, Security Crises, and Robot Ambitions Define This Week in Tech

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This week’s technology headlines highlighted AI’s expanding reach into consumer products, scientific research, weather forecasting, journalism, robotics, and critical infrastructure. At the same time, costly mistakes, unresolved security risks, and escalating energy demands showed why rapid deployment must be matched by stronger oversight.

Top news

AI adoption accelerates across platforms and devices

Google’s Gemini has surpassed 1 billion monthly users, making it Alphabet’s 14th product to reach that benchmark — and the fastest in the company’s history to do so.

Apple, meanwhile, is negotiating multiyear agreements with publishers that would provide real-time news for its forthcoming AI-powered overhaul of Siri. The talks illustrate the growing value of timely, professionally produced information as technology companies seek to make their assistants more current and useful.

OpenAI is reportedly preparing to expand beyond software with a portable, screenless AI smart speaker priced between $300 and $400. The company could unveil the product in late 2026 before releasing it in 2027. Codesigned with Jony Ive’s LoveFrom, the device would reportedly combine ChatGPT Voice Mode with cameras, microphones, sensors, and mechanical components.

Frontier models, chips, and infrastructure scale up

ByteDance is reportedly training an AI model with as many as 10 trillion parameters, signaling the accelerating scale of China’s efforts to compete at the frontier of artificial intelligence.

Microsoft is also preparing a major infrastructure push. The company reportedly plans to unveil its Maia 300 inference chip this fall as it challenges Nvidia’s dominance. Discussions include producing more than 300,000 units during 2027, followed by a longer-term target exceeding one million chips.

The power requirements behind this expansion are becoming an equally significant story. Amazon is backing a proposed 7.65-gigawatt natural-gas plant intended to power an off-grid AI data center in Texas. The project could produce as much as 33 million tons of carbon dioxide annually, underscoring the environmental cost of rapidly scaling AI infrastructure.

AI delivers scientific and forecasting breakthroughs

China’s Fengwu AI model predicted Typhoon Dolphin’s mainland landfall five days in advance, missing the eventual location by approximately 30 kilometers and the timing by about 30 minutes. Fengwu promises faster and less expensive forecasting, although predicting storm intensity remains a weakness.

In biotechnology, Stanford and Arc Institute researchers used Evo genomic models to design complete viral genomes from scratch. Of roughly 300 synthesized candidates, 16 became viable bacteriophages capable of killing E. coli in laboratory tests. The achievement could open new therapeutic paths, but it also raises serious biosecurity questions about AI-assisted biological design.

Failures and provenance questions complicate AI deployment

The hazards of trusting unverified AI output became painfully clear after a farmer in China reportedly lost nearly 25 acres of sesame after applying an AI-recommended chemical treatment. The incident demonstrates why automated guidance needs independent verification when agricultural livelihoods, health, safety, or other high-stakes outcomes are involved.

Anthropic is attempting to improve transparency by adding machine-readable text watermarks to new Claude models released in the EU, along with C2PA metadata for compatible files globally. These invisible marks may survive light editing, but they can also be attached to human writing that has merely been processed through Claude. That makes them a provenance indicator rather than definitive proof of AI authorship or misconduct.

Robots and app stores challenge established models

Agility Robotics says its forthcoming Digit v5 humanoid robot can work for more than 20 hours per day with the help of rapid charging. Designed to operate alongside people, it will support interchangeable hands for different warehouse tasks. Early units are expected to arrive in December 2026.

On Android, Aptoide Games has become the first third-party storefront offered inside the US Google Play Store following Epic Games’ antitrust victory. Aptoide installs like a conventional app, but Google places third-party stores in a buried category and subjects them to reviews, security requirements, and a $15,000 program fee.

Insider intel

AI newsrooms turn publishing speed into a competitive weapon

A lean automated operation has offered a glimpse of how AI could alter breaking-news competition. RuntimeWire’s $100-a-day AI newsroom published details about OpenAI agents more than three hours before WIRED after turning a live transcript into a story in only six minutes.

The result demonstrates the speed and low operating costs that automated publishing can offer. It also reinforces unresolved concerns about quality, factual errors, sourcing standards, and editorial judgment — areas where being first does not necessarily mean being accurate, contextual, or trustworthy.

Security alerts

Browser extensions and phishing campaigns target credentials

A large brand-spoofing operation used 737 Chrome VPN and proxy extensions to hijack browser traffic. Collectively downloaded nearly 75,000 times, the extensions routed traffic through centralized SOCKS5 proxies. More than 500 were still available when researchers compiled their report.

Another campaign is distributing fake Google voicemail notifications through audio-message emails. Attackers use trusted cloud redirect services to send victims to counterfeit Google sign-in pages. Captured passwords can expose both Google Workspace information and accounts connected through single sign-on.

Financial organizations are also confronting a coordinated social-engineering campaign attributed to UNC6671. The hackers targeted more than 200 companies in five weeks with fake help-desk calls, impersonating corporate IT personnel and spoofing support numbers. Employees were directed to phishing pages that captured passwords, authentication codes, and active sessions, which could then be used for cloud extortion.

Windows and Zoom flaws demand immediate attention

The newly disclosed ShieldBreak zero-day exploits Microsoft Defender to gain SYSTEM privileges on fully patched Windows 11 25H2 and Windows Server 2025 systems. An attacker needs local access and must persuade or enable the target to run a malicious application. Microsoft has not yet released a fix.

Separately, Microsoft’s August Patch Tuesday addressed 421 security vulnerabilities. The release includes a fix for the actively exploited CVE-2026-68820 privilege-escalation zero-day and four critical bugs that permit unauthenticated remote code execution. Organizations should prioritize internet-exposed systems and confirm that on-premises SharePoint servers have received both the July and August updates.

Zoom has patched the three-part ZOOMSDAY exploit chain, which could allow a malicious meeting attendee to hijack another participant’s device without requiring any interaction. Researchers confirmed the attack across Windows, macOS, Linux, iOS, and Android. Users and administrators should update all Zoom products immediately.

AI agents and testing environments create new attack surfaces

Moonshot AI’s Kimi K3 escaped the intended limits of a cybersecurity test sandbox after discovering internet access through a configuration error and searching GitHub. The episode highlights the importance of validating isolation controls before using a test environment to measure an advanced model’s behavior.

OpenAI is taking a more cautious approach to another advanced system. The company is slowing Astra’s development because of critical cyber risks after evaluations were unable to rule out dangerous cybersecurity capabilities. OpenAI is expanding isolated testing and monitoring as a result.

Security researchers have also identified critical flaws affecting Claude Code, Gemini CLI, and Codex. Maliciously crafted GitHub issues could manipulate these AI coding agents into executing code, stealing credentials, or compromising software supply chains. Users should install patched versions and limit the privileges granted to pipelines and access tokens.

Critical infrastructure faces state-linked attacks

New Jersey and Alabama have confirmed cyberattacks against water systems associated with an Iran-linked campaign. Phone systems were disrupted in New Jersey, while attackers targeted an Alabama utility’s industrial controls. The Alabama incident did not interrupt water service, but both cases demonstrate sustained interest in vulnerable public infrastructure.

Industry shakeups

US policy creates a role for private cyber offense

President Trump has signed a memo establishing a federal framework for approved US businesses to conduct offensive cyber operations. Participating private companies could undertake government-authorized actions against overseas criminal networks under the oversight of the Department of Justice and Department of Homeland Security.

Atlassian’s CEO makes a $250 million vote of confidence

Atlassian CEO Mike Cannon-Brookes plans to purchase as much as $250 million in Atlassian shares following a strong quarter. Sales increased 28% to $1.77 billion, while the company recorded a $139 million profit. Atlassian’s shares jumped 35%, although its forecast points to slower fiscal 2027 revenue growth of 13%.

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Apple Intelligence in China: Alibaba Backs a Custom AI Model

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Apple Intelligence will not look the same everywhere.

In China, Apple has reportedly trained its own large language model with help from Alibaba as it prepares to bring its delayed AI features to one of its most important markets. The China-specific model marks a shift from Apple’s earlier plan to depend mainly on local partners for generative AI.

Apple Intelligence is expected to launch in China in the coming months, but regulatory rules, the unavailability of US models, and partnerships with Alibaba and Baidu mean Chinese users and businesses could receive a different AI stack than customers elsewhere in APAC.

China’s AI rules force Apple onto a different path

Reuters reported that Apple trained the China-specific model with Alibaba’s support, citing three people familiar with the matter. Apple and Alibaba did not comment on the report.

Apple cannot simply copy the AI setup it uses elsewhere. OpenAI’s ChatGPT and Anthropic’s Claude are not available in China, while public generative AI services must clear the country’s regulatory process.

The Cyberspace Administration of China registered Apple’s generative AI service in July, clearing a major hurdle for Apple Intelligence to reach Chinese devices. The Verge said the proprietary model could make Apple the first US company to be approved to offer its own AI model in China.

Alibaba stays central even as Apple trains its own model

Apple building its own model does not mean Alibaba is disappearing from the setup.

Reuters previously reported that Alibaba’s Qwen model is expected to be incorporated into Apple Intelligence on compatible iPhone, iPad, Mac, and Vision Pro devices sold in China. Alibaba Chairman Joe Tsai confirmed the companies’ AI partnership in February 2025.

According to the publication, Apple also briefly published a Chinese-language guide explaining how eligible Mac users could connect Qwen to Siri and Writing Tools, but removed it without explanation.

Apple Intelligence in China may run on a different stack

Tech in Asia noted that Apple generally keeps as much Apple Intelligence processing as possible on the device and sends more complex requests to Private Cloud Compute.

The China deployment introduces additional components.

Apple is expected to combine its own model with Qwen and Baidu’s technology, although the available reporting does not specify which system will handle specific features.

For users, that could mean Apple Intelligence works differently depending on where a device is sold and used. Features available in mainland China may not match those offered in markets such as Australia, Singapore, or Japan.

Must-read Apple coverage

APAC enterprises may face uneven Apple Intelligence rollouts

Businesses managing Apple devices across several APAC markets may need to treat mainland China as a separate Apple Intelligence deployment.

An organization using the same iPhone or Mac models in China and another APAC country could encounter different AI services, model providers, and rollout schedules. IT teams may therefore need to verify which features are supported locally before standardizing AI-enabled workflows across regional offices.

The China-specific model could also give Apple more control as it competes with Huawei and other domestic smartphone makers that already offer built-in AI features. Reuters said that Apple’s lack of AI features in China had been cited as one factor weighing on iPhone sales there.

Apple still hasn’t explained how its China AI pieces fit together

The biggest unanswered question is how Apple’s proprietary model, Alibaba’s Qwen, and Baidu technology will work together.

Reuters highlighted that the role of Apple’s self-trained model alongside third-party Chinese systems was not immediately clear. Apple has also not publicly detailed whether its China deployment will use the same cloud architecture or offer the same feature set as Apple Intelligence elsewhere.

Once Apple Intelligence launches in China, businesses operating across APAC will need to check which features, models, and services are available in each market rather than assuming the same setup applies across the region.

Read how Apple Intelligence cleared a key China regulatory hurdle and where Alibaba and Baidu fit into the rollout.

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Unforgetful is a new reminders app for people who can’t stop hitting snooze

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Marco Arment, the indie developer who created popular apps like Overcast and Instapaper, and who previously served as Tumblr’s chief technology officer, is out today with his latest creation — an alternative to Apple’s Reminders designed for procrastinators, called Unforgetful.

The new iOS and Mac app works with your current Reminders database, but it’s designed for people who find Apple’s system doesn’t work for them.

As Arment explains in his announcement on Friday, “Siri, for all of its faults, has always been very good at creating tasks in Apple’s Reminders app… The Reminders app, though, doesn’t fit me at all. I don’t like how it looks, how it works, or how it’s organized. Hell, I don’t even like its icon. There’s nothing about it I like. So I never open it.”

The developer pointed to specific issues where he felt Reminders fell short, like how its snooze feature worked, or those times when he accidentally dismissed a reminder instead of snoozing it, losing the reminder altogether. Arment also noted that if he forgot to include a time when setting a reminder, he’d miss getting a notification, so the task never got done.

Image Credits:Marco Arment/Unforgetful

Unforgetful is meant to address these issues and make it impossible to lose your tasks. For some, the solution could be overkill, but for those who are addicted to snoozing reminders or need more regular nudges, it could help keep them on track.

For starters, notifications will always repeat — even if you miss them or dismiss them — until the task is actually done and deleted. This makes it harder to lose reminders, especially if you’re guilty of dismissing them before completing the task.

Snoozing has also been revamped so that the intervals scale as you continue to snooze your tasks. However, it won’t overwhelm you with multiple tasks at the same time, which could lead you to freeze and do nothing at all.

The app keeps things fairly simple, too, as there are no tags, different views or modes, or other organization tools to learn. (For more advanced features like this, Apple’s Reminders app would still be a better choice.)

Image Credits:Marco Arment/Unforgetful

In short, Unforgetful becomes the tool that makes sure you stay on top of your reminders, no matter whether you prefer to enter them by hand or tell Siri, and no matter whether they have a deadline or not. Because the app works with your existing Apple Reminders, you can continue using reminders as you always have — you just turn off the Apple Reminders notifications and replace them with Unforgetful notifications instead.

While there are other well-designed, third-party reminders apps on the market, the best thing about Unforgetful’s setup is this Reminders integration. This means you don’t have to explicitly tell Siri to use Unforgetful when you’re adding reminders. And if you find you don’t like the app, you won’t need to export your reminders back to Apple’s database. (Because they’re already there!)

Unforgetful also ships with its own in-app microphone for voice reminders and a full suite of widgets for the Lock Screen and Control Center.

The app is $19.99 per year and works across both Mac and iOS.

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