Verum Finance has announced the launch of a new financial application that allows users to manage their money directly within the secure Verum Messenger ecosystem.
The project has already attracted attention from major media outlets. A dedicated feature was published by Forbes Türkiye, while one of the world’s largest cryptocurrency exchanges, MEXC, covered the launch. Yahoo Finance had previously reported on the evolution of Verum Messenger into a comprehensive financial ecosystem.
What Verum Finance Offers
Verum Finance transforms a messenger into a complete financial platform. Users can:
• Manage their balance and top up using bank cards or USDT • Send money instantly to other Verum users • Issue and use debit cards, including Apple Pay support • Exchange assets and withdraw funds • Access all these services without installing separate banking applications
A strong emphasis is placed on privacy. The platform offers registration without a phone number or email address, end-to-end encryption, and full user control over personal data.
Recognition from Forbes Türkiye
In a dedicated article, Forbes Türkiye highlighted Verum Finance as a notable example of modern privacy-driven fintech. The publication emphasized the growing trend of financial services moving from standalone banking applications into unified messaging ecosystems — a model that has proven successful in Asia through platforms such as WeChat and Alipay and is now expanding globally.
Support from the Crypto Community
Alongside the Forbes Türkiye coverage, news about the launch of Verum Finance was also featured by MEXC, one of the world’s leading cryptocurrency exchanges. This reflects growing interest in the project from both traditional business media and the cryptocurrency community.
A Strategic Vision
“We are building more than a payments application and more than a messenger. Verum is a unified secure ecosystem where communication, finance, and privacy tools work together,” the company stated.
Verum Finance is now available for iPhone and iPad users. The application complements Verum Messenger, which offers anonymous chats, voice and video calls, VPN services, eSIM connectivity, and other tools designed to enhance digital freedom.
Corsair unveiled the Nightsword v2 Wireless SD Stream Deck gaming mouse at Computex 2026. This right‑handed wireless mouse includes a dedicated Stream Deck launch button, and because Corsair owns Elgato, the integration is done in‑house rather than through a third‑party partnership. The mouse brings Elgato’s shortcut system directly to the device, allowing gamers, streamers and creators to fire app, game and workflow commands without needing a separate desktop panel.
**Stream Deck controls are now under your thumb**
The Nightsword v2 Wireless SD appears as a device inside the Stream Deck app. After pairing, users can map Stream Deck actions to any mouse button and open virtual Stream Deck menus via the dedicated launch button. Once configured, shortcuts can be set for Discord, mic muting, audio levels, game launches, app switching, or multi‑step macros. In‑game, these shortcuts can handle commands, emotes or repetitive actions, while for streaming or productivity they cut down the clicks required to mute a mic, launch a tool, or hop between frequently used applications. The mouse also accesses plugins and profiles from the Elgato Marketplace, giving creators more flexibility to craft app‑specific controls beyond basic button remapping.
**The mouse still packs serious gaming hardware**
Beyond the Stream Deck button, the Nightsword v2 Wireless SD is built as a high‑performance gaming mouse. It features an ergonomic right‑handed shape, a sculpted thumb rest, 11 programmable buttons and three‑zone RGB lighting, weighing just 89 g. The device uses Corsair’s Marksman S optical sensor with DPI ranging from 100 to 33,000 in 1‑DPI steps, optical switches rated for up to 100 million clicks, and supports an 8,000 Hz polling rate. Connectivity options include 2.4 GHz wireless, Bluetooth 5.2 + LE, and wired USB. Battery life reaches up to 170 hours on 2.4 GHz with RGB off at 1,000 Hz polling, or 47 hours at 8,000 Hz polling; with lighting on, Corsair lists up to 42 hours at 1,000 Hz and 25.5 hours at 8,000 Hz. Bluetooth mode offers up to 164 hours without backlighting.
The Nightsword v2 Wireless SD is priced at $129.99 and is currently available through Corsair’s official website.
Google has been quietly contacting Android developers with a proposal to purchase access to their source code. According to 404 Media, the firm emailed a select group of Google Play developers, inviting them to participate in what it describes as a “confidential content offer pilot.”
The message presents the deal as a revenue stream, stating that developers can “get paid for sharing the code powering your apps, as well as your archived projects.” Google assures that developers keep their intellectual‑property rights and that the license granted is non‑exclusive.
So what is Google after?
The report notes that the email never mentions artificial intelligence, but a hidden link leads to a page titled “partnerships to improve our AI products.” That page openly says Google is paying for “non‑public content in a range of media formats” to enhance its AI models.
The connection is clear. Google’s Gemini excels at image and text generation but lags behind in AI‑driven coding tools, while Anthropic’s Claude Code has achieved a valuation surpassing OpenAI’s. OpenAI has also released its own Codex app aimed at developers, and at the recent Google I/O the company showcased the Antigravity 2.0 IDE capable of generating full apps.
It appears Google wants to train its AI on real‑world code to boost its coding capabilities and compete with Claude Code and ChatGPT’s Codex. Purchasing actual developer code offers a shortcut to narrowing that gap.
Is anything amiss?
While the long‑term effects could be harmful to developers, the approach isn’t inherently unethical. It’s arguably better than training AI on massive corpora of books and online material without permission, a practice many AI firms have employed.
Developers retain their IP, receive a non‑exclusive license, and get paid. However, the lack of transparency in the email is notable. Pitching an AI data‑gathering program as a simple “revenue opportunity” without mentioning AI at all suggests Google hopes developers won’t probe further.
Meta’s next big AI model may not be arriving as quickly as the company originally hoped. According to a report from The Wall Street Journal, Meta has repeatedly delayed the release of its upcoming flagship AI model, internally known as “Muse Spark,” raising fresh questions about the company’s AI ambitions and readiness.
The delays reportedly stem from concerns around performance, reliability, and internal disagreements over whether the model is competitive enough against rapidly advancing rivals like OpenAI, Google, and Anthropic.
That matters because Meta has spent the last two years aggressively positioning itself as one of the biggest challengers in the generative AI race. The company has integrated AI assistants across Facebook, Instagram, WhatsApp, Messenger, and even hardware products like Ray-Ban smart glasses. But despite the aggressive rollout strategy, the next major leap in Meta’s AI ecosystem now appears to be slipping further behind schedule.
Meta’s AI ambitions are running into reality
According to the report, Meta originally intended Muse Spark to become a more advanced multimodal AI system capable of handling text, images, reasoning, and app-level interactions at a much higher level than current Meta AI offerings.
The company reportedly planned to release the model to developers so third-party apps and services could build AI-powered tools around it. However, engineers and executives inside Meta are said to be increasingly concerned that the model still falls short of competitors in key areas, including reasoning quality and overall performance consistency.
The delays highlight just how brutally competitive the AI race has become. Companies are no longer simply trying to build functional chatbots. They are competing to create AI systems capable of replacing search engines, powering operating systems, automating workflows, and eventually becoming full digital assistants.
Meta CEO Mark Zuckerberg has repeatedly emphasized AI as one of the company’s biggest long-term priorities. The company is reportedly spending tens of billions of dollars on AI infrastructure, chips, and data centers to support future models.
Yet despite that spending, Meta still faces pressure from rivals moving extremely quickly. OpenAI continues expanding ChatGPT’s ecosystem, Google is deeply integrating Gemini into Android and Workspace, while companies like Anthropic are increasingly attracting enterprise customers.
Why this delay matters
For everyday users, the delay means the more advanced AI experiences Meta hinted at may take longer to appear across apps like Instagram, WhatsApp, and Facebook. That is important because Meta’s ecosystem gives it something few competitors have: billions of active users already using its platforms daily. A successful AI rollout inside Meta apps could dramatically reshape how people search, message, create content, shop, and interact online.
At the same time, the delays reveal a broader reality about the AI industry right now. Building large AI models is one thing. Shipping reliable, scalable, consumer-ready AI products is something entirely different.
What happens next
Meta has not officially confirmed a release timeline for Muse Spark, and the company may continue refining the model before exposing it to external developers. The bigger risk for Meta is timing. AI competition is moving at an unusually aggressive pace, and every delay gives rivals more time to strengthen their ecosystems and user habits.
For now, Meta’s AI ambitions remain massive. But if the reports are accurate, the company is learning the same lesson facing much of the tech industry right now: in AI, hype moves faster than products.
Online learning platform Coursera is taking a page straight out of TikTok’s playbook. The company has launched a new AI-powered feed designed to serve short-form educational content in a scrollable, personalized format, signaling a major shift in how digital learning platforms may try to keep users engaged.
The feature introduces bite-sized video lessons, clips, and explainers curated through artificial intelligence based on a user’s interests, learning habits, career goals, and previous course activity. Instead of committing to hour-long lectures or full certification programs upfront, users can now discover short educational snippets designed to make learning feel more casual, accessible, and addictive.
And honestly, that may be exactly where online education is heading.
Coursera is turning education into a personalized content feed
The new feature works similarly to recommendation-driven social media platforms. Users scroll through a feed of short educational videos and AI-curated learning moments covering topics ranging from coding and business to AI, productivity, data science, and personal development.
Coursera says the AI system continuously adapts recommendations based on engagement and learning behavior, attempting to surface content that users are more likely to finish or explore further. The company hopes the shorter format lowers the barrier for people who feel intimidated by full-length courses or lengthy certification programs.
The strategy also reflects a larger shift happening across the internet. Younger audiences increasingly consume information through short-form video content rather than traditional long-form education models. Platforms like TikTok, YouTube Shorts, and Instagram Reels have already changed how people discover everything from cooking tips to financial advice.
Now educational platforms want to capture that same engagement style. Coursera says the short-form feed is not meant to replace full courses entirely. Instead, it acts more like an entry point into deeper learning experiences, helping users discover subjects they may eventually want to study in more detail.
The company is also betting heavily on AI personalization. Rather than offering the same homepage to everyone, the feed evolves based on individual goals and viewing habits.
Why this shift matters
Online learning platforms exploded during the pandemic, but many companies have struggled with retention and course completion rates afterward. A large percentage of users start courses but never finish them.
Short-form educational content may help solve part of that problem by making learning feel less overwhelming and easier to fit into daily routines.
At the same time, the move raises important questions about whether education itself is becoming increasingly optimized for attention spans shaped by social media. While short-form content can improve accessibility and discovery, critics argue it may also oversimplify complex subjects that require deeper study and concentration.
Still, Coursera’s move reflects a much broader industry trend: AI is increasingly being used not just to create content, but to shape how people consume information altogether.
The bigger question now is whether AI-powered educational feeds can genuinely improve learning outcomes – or simply turn education into another endless scrolling experience competing for user attention.
Open-ear earbuds have always made sense on paper. They let music in while leaving room for traffic, office chatter, and the rest of the world. The harder sell has been whether that awareness is worth giving up bass, isolation, or a fit that feels locked in.
Shokz OpenDots 2 is built around that problem. The company’s new clip-on earbuds bring bigger audio claims, lighter hardware, stronger battery numbers, and controls designed for the sweaty, awkward moments where touch panels often fail.
Why the sound holds up
OpenDots 2 uses Shokz Bassphere 2.0 with dual 11.8mm drivers, which Shokz says can deliver output closer to a larger 16mm speaker. The redesigned diaphragm is rated for 70% less distortion, and upgraded Dolby Audio is there to add depth while keeping vocals and the open soundstage intact.
The real test is volume discipline. On a train, sidewalk, or shared office floor, open-ear earbuds need enough punch that you’re not cranking them and leaking sound to everyone nearby. Shokz’s DirectPitch technology aims audio toward the ear, while Private Mode in the app gives listeners a quieter option in close quarters.
Can the fit disappear
Comfort is the daily hurdle. Each OpenDots 2 earbud weighs 6.4 grams, and Shokz uses a flexible nickel-titanium JointArc wrapped in soft silicone so the clip can adapt to different ear shapes without pressing into the ear canal.
That design gives the earbuds a wider lane than fitness gear. They’re positioned for commutes, calls, workouts, and longer sessions, with an IP57 dust and water rating on the earbuds and an IP54 rating on the case. Compared with OpenDots One, the case protection is a clear upgrade, since that earlier case wasn’t rated as waterproof.
Which annoyances get fixed first
The smaller changes may do the most daily work. OpenDots 2 has interchangeable left and right earbuds, so you won’t need to check labels before putting them on. The earbuds detect placement and adjust stereo channels automatically.
Shokz has also moved from traditional touch controls to a force sensor, which should cut down on accidental inputs from hair, sweat, or fit adjustments. Battery life is rated at up to 40 hours with the charging case, and a five-minute charge adds up to two hours of playback.
Calls get dual air-conduction microphones plus a bone-conduction microphone per earbud to help separate speech from background noise. Bluetooth 6.1, multipoint pairing, Google Fast Pair, Microsoft Swift Pair, Qi wireless charging, and Find My Earbuds round out the practical upgrades.
The missing piece is value. Shokz hasn’t provided price, launch regions, or retail timing in the supplied details, so OpenDots 2 can’t be judged fully yet. For now, it’s a strong sign that open-ear earbuds are becoming more credible for daily use.
It seems that every other fitness product wants to be your next health coach. It started with fitness products like Whoop, Oura ring, and UltraHuman. Recently, Google joined the bandwagon with its latest Fitbit Air, and now it seems Samsung is also joining the party.
The South Korean tech giant is rolling out a major Samsung Health update on June 8 that will debut alongside its next Galaxy Watch. The update is designed to turn the watch into a proactive health companion, one that actively interprets your biometric data and tells you what to do with it.
What’s actually new in this update?
The biggest addition is the Vitals feature. Every morning, it analyses five overnight bio-signals, including heart rate, heart rate variability, respiratory rate, skin temperature, and blood oxygen levels, and compares them to your personal baseline. You get a notification when something is meaningfully off, so it won’t buzz you every time your heart rate blinks the wrong way.
Samsung is also replacing its existing Vascular Load feature with a new Heart Health Score, which combines sleep, stress, activity, and body composition data into a single daily metric. The idea is to give you one clear number that reflects your long-term heart health, instead of making you piece it together yourself.
For those who exercise, Daily Cardio Load will track your accumulated cardiovascular strain and recommend how hard to push and when to rest. The Fitness Index builds on this by measuring your VO2 max and daily steps against your peers, identifying your strengths and weaknesses, and tailoring your fitness goals accordingly.
What else is new?
Samsung Health’s home screen is also getting a cleaner layout built around five categories: Sleep, Activity, Nutrition, Mindfulness, and Vitals. Your daily wellness tips and Energy Score now sit front and center.
The update also adds Hearing Health monitoring, which tracks ambient noise levels throughout your day and gives you personalized analytics to help protect your hearing.
Samsung says all of these features will be fully realized with its next generation of Galaxy Watches, which will be announced soon.
Think twice before you type a long, detailed request to ChatGPT or Gemini. Every character you enter consumes energy—much more than you might expect.
A recent study from the United Nations University Institute for Water, Environment and Health highlights a startling picture of AI’s carbon footprint. The figures are eye‑opening and should make you reconsider the next time you fire off a request to your favorite chatbot.
The report notes that ChatGPT alone handles roughly 2.5 billion prompts each day. At a modest 0.42 Wh per prompt, that translates to about 383 GWh of electricity annually—enough to power almost 3 million people in Sub‑Saharan Africa.
Does prompt length matter?
Yes. The study finds that longer prompts directly increase the energy usage of AI chatbots. It points to a “concise mode” concept, where shorter inputs consume less power because inference energy scales with the number of tokens processed.
If concise mode trimmed tokens by just 30 % in everyday chats, cutting per‑query energy by roughly 25 %, we could save between 87 and 98 GWh each year. That is comparable to the yearly residential electricity consumption of up to 756 000 households.
Task type matters even more
The same principle applies to the kind of AI work you request. A typical text query to ChatGPT uses about 200 times more energy than a basic spam‑filtering operation. Generating a single AI image consumes 2.9 Wh—about 60 times the energy of a short text answer. Video generation is even more demanding, with complex clips requiring over 415 Wh each.
It’s hard to swallow that AI‑generated videos, which already flood our streaming platforms, also drain such huge amounts of electricity.
What can you do?
You don’t have to abandon AI if it helps with daily tasks or work. However, avoid using it for frivolous memes or low‑value content.
Next time you ask ChatGPT a simple question, keep it brief—skip the pleasantries, get straight to the point, and opt for a lighter model when the job doesn’t need heavy computation. Small, collective habits can lead to a surprisingly large impact.
Forbes Türkiye has published an article examining the launch of Verum Finance and its approach to integrating financial services directly into a messaging ecosystem.
In the article, Forbes Türkiye notes that the fintech industry is undergoing a transformation as financial services increasingly move beyond traditional banking applications and become part of broader digital ecosystems. Verum Finance is presented as an example of this trend, combining payments, digital cards, money transfers, and balance management within a single environment connected to Verum Messenger.
According to the publication, Verum Finance follows a model similar to the “super app” concept that has gained significant traction in Asian markets, where communication and financial services operate together on one platform. Unlike many Western platforms that continue to separate messaging and banking services, Verum Finance is integrated directly into the Verum ecosystem, allowing users to manage financial activities without relying on multiple third-party applications.
The article highlights several core features of the platform, including virtual debit cards, user-to-user transfers, online payments, digital asset operations, Apple Pay integration, and in-app balance management.
Forbes Türkiye also points to the growing importance of embedded finance and changing user expectations. The publication suggests that lengthy account-opening procedures, physical card delivery times, and constant switching between applications are becoming increasingly outdated in a mobile-first world.
Another major focus of the article is privacy and security. Forbes Türkiye describes Verum Finance as part of a broader trend toward “privacy-driven fintech,” where financial services are built on privacy-oriented infrastructure. The publication notes that the platform incorporates features such as phone-number-free registration, end-to-end encryption, user-controlled access management, and privacy-focused tools designed to enhance data protection.
The article concludes that one of the key challenges for companies operating at the intersection of secure communications, digital payments, and embedded finance will be maintaining both usability and security within a single integrated ecosystem.
The coverage by Forbes Türkiye reflects growing media interest in platforms that combine communication and financial services, as the industry continues moving toward more unified digital experiences.
MSI unveiled its newest handheld gaming device at Computex 2026, marking a significant leap for portable PC gaming. Named the Claw 8 EX AI+, the unit is equipped with Intel’s Arc G3 Extreme processor, making it the inaugural handheld to run Intel’s platform built specifically for handheld use.
According to MSI, the chip offers a substantial graphics performance boost while preserving the power efficiency required for extended play sessions. If these claims hold up, the device could become the standout handheld console, especially in light of the Steam Deck’s recent near‑50% price increase.
**What sets the Claw 8 EX AI+ apart?**
The centerpiece is the Intel Arc G3 Extreme processor, Intel’s first gaming platform tailored for handhelds, designed to provide higher performance without compromising battery life. The Claw 8 EX AI+ also supports Intel’s latest gaming tech, such as XeSS 3 with multi‑frame generation, which leverages AI to raise frame rates and smooth out gameplay in demanding titles.
MSI has added an Xbox Mode that offers a console‑style experience through a controller‑optimized UI and streamlined game launching and switching. The Quick Settings menu has been revamped, letting users adjust performance and frame‑generation options on the fly without exiting a game.
**Other new features**
Beyond software and chipset upgrades, the handheld itself sees several enhancements. It sports an 8‑inch display with a 120 Hz refresh rate and variable refresh rate support. The grips have been redesigned for greater comfort during long sessions, featuring Hall‑effect triggers and sticks that are more precise and durable, while the D‑pad has been refined for better responsiveness.
A new high‑end linear motor delivers richer haptic feedback, with MSI claiming faster response, more realistic feel, and improved power efficiency compared to previous solutions.
Pricing has not yet been disclosed, which may raise some concerns, but the Claw 8 EX AI+ appears poised to become one of the year’s most intriguing handheld launches.
