Advantest Corporation disclosed that its corporate network has been targeted in a ransomware attack that may have affected customer or employee data.

Preliminary investigation results revealed that an intruder gained access to certain parts of the company’s network on February 15.

Tokyo-based Advantest is a global leader in testing equipment for semiconductors, measuring instruments, digital consumer products, and wireless communications equipment.

The company employs 7,600 people, has an annual revenue of more than $5 billion, and a market capitalization of $120 billion.

On February 15, the firm detected unusual activity in its IT environment, prompting a response in accordance with incident response protocols, including the isolation of affected systems.

As part of its response, the company contracted third-party cybersecurity specialists to help isolate the threat and investigate its impact.

“Preliminary findings appear to indicate that an unauthorized third party may have gained access to portions of the company’s network and deployed ransomware,” Advantest states.

“If our investigation determines that customer or employee data was affected, we will notify impacted persons directly and provide guidance on protective measures.”

Currently, no data theft has been confirmed, but Advantest noted that this may change as more information emerges from the ongoing investigation.

Should customers or staff be determined to be impacted, Advantest will notify them directly and provide instructions on mitigating the associated risks.

At the time of writing, no ransomware groups have claimed the attack on the Japanese tech giant.

BleepingComputer has contacted Advantest directly to request more details about the attack, but we have not heard back by publishing time.

Multiple Japanese companies have been the target of cyberattacks recently, as several high-profile entities suffered data breaches and operational disruptions. Notable examples include Washington Hotel, Nissan, Muji, Asahi, and NTT.

Advantest says that the investigation continues and that it will provide updates on the incident when new details emerge.

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• Cybernews found misconfigured database in “Video AI Art Generator & Maker” app
• Leak exposed 8.27m media files, including 2m private user photos and videos
• Developers secured database after disclosure; similar flaws seen in another Codeway app

Yet another misconfigured database leaking sensitive user data was found, but this one is even more worrying since the data being leaked is – user-uploaded photos and videos.

Researchers from Cybernews recently discovered an Android app called “Video AI Art Generator & Maker” contained a misconfigured Google Cloud storage bucket which was accessible to anyone who knew where to look.

We’ve been rigorously testing work-from-home gear for years—even prior to the Covid-19 remote work boom—and that includes dozens of office chairs and desks. Branch furniture has made standouts that are highlighted in our guides over and over again. Its Presidents’ Day deals have been extended, bringing some of the better discounts we’ve seen on essentials we’ve tested like chairs and desks.

Check out our other deals coverage for additional discounts on gear we’ve tried and would recommend to a friend.

Branch Ergonomic Chair Pro for $449 ($50 off)

This price matches the best we usually see for our very favorite office chair. Out of the dozens we’ve tried, this chair strikes the best balance of features for the price. It’s comfortable, adjustable, and easy to dial in so you can get your perfect ergonomic fit. It also has a solid warranty and isn’t too terribly expensive compared to similar chairs. There are different fabric finishes and colors to choose from, all of which are on sale right now.

Branch Ergonomic Chair for $323 ($36 off)

The best budget office chair is even more affordable right now thanks to this deal. It’s easy to assemble, it has some adjustable elements, it’s comfortable and breathable, and it looks nice with or without the optional headrest. The upholstery is available in several colors, though the fabric does pill and attract pet hair. We still think this is a chair worth checking out if you’re on a tight budget.

Branch Four Leg Standing Desk for $854 ($95 off)

Photograph: Julian Chokkattu

Branch

Four Leg Standing Desk

This is editor Julian Chokkattu’s favorite desk he’s tried. At first glance, it looks like a standard desk, but it’s actually a standing desk that can be raised or lowered with the little control panel. Assembly was easy, the controls are simple, and the shape is elegant. If you want a desk that looks great no matter how tall it is, this is worth checking out, especially at this price.

Branch Duo Standing Desk for $494 ($55 off)

Photograph: Julian Chokkattu

We like this compact, affordable standing desk, which gets you a lot of value for how little you’ll pay. It’s compatible with a lot of add-ons, and the paddle controls are easy to use. There’s even a preset mode so you can press the paddle twice to raise it to your preset height. This desk is compact, but if you don’t need a ton of room for your working setup, it’s a good option even at full-price. (Luckily, right now, you can snag it for less.)

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The summit is the fourth in an annual series that began in UK in 2023, before moving to Korea, and then France.

Global business leaders and heads of states all flocked to New Delhi this week to attend India’s AI Impact Summit 2026, which just concluded today (20 February).

The summit is the fourth in an annual series that began in UK in 2023, before moving to Korea, and then France last year.

India has huge aspirations to become a leader in AI – and overall, the billions in investments announced from Big Tech leaders this past week could mean that the fast-growing economy might be on the right track.

But as The New York Times puts it: “India brims with tech talent but not the companies that command it.” While slow to develop on the technology itself, India offers a very large AI user base (100m weekly ChatGPT users alone are from India) and huge under-employed workforce.

Outside the summit, however, disorganisation was rife. Blocked roads forced delegates to walk kilometres to reach the summit and wait in long queues. Meanwhile, dozens of New Delhi’s poorest accused state leaders of forcibly displacing their makeshift homes to ‘beautify’ the streets for the incoming international guests.

Though as that went on, AI leaders including OpenAI, Microsoft and Nvidia made some big announcements.

Microsoft’s $50bn ‘global south’ pledge

Microsoft said it is on its way to invest $50bn in the “global south” – a term used to refer to the world’s developing countries. Research from the company finds that AI usage in the “global north” is roughly twice that of the “global south”. The company said that the investment will be used to help increase AI usage in the region.

The Bill Gates-founded company wants to build the infrastructure needed for better AI diffusion in the country, help develop multilingual and multicultural AI capabilities, enable local AI innovations, and be able to measure AI diffusion better to guide future policies and investments in the tech.

Last year, the company announced plans for around $17.5bn worth of AI investments in India.

Adani adds $100bn to AI data centre pot

Billionaire business mogul Gautam Adani’s company, the Adani Group, announced direct investments of $100bn to create the “world’s largest integrated data centre platform” in India.

The new investment adds to AdaniConnex’s already existing 2GW national data centre, and expands it to a 5GW target. These AI data centres will be powered with renewable energy, the company claimed.

Its plans for the mega data centre comes with existing partnerships with Google and Microsoft. The company said it is discussing plans for more large-scale campuses in India with other major players.

According to the Adani Group, the $100bn investment is expected to generate an additional $150bn across manufacturing, advanced electrical infrastructure and sovereign cloud platforms in the country by 2035. Together, it projects to create a $250bn AI infrastructure ecosystem in India over the decade.

Telco leader drops $110bn for compute

Indian telecommunications giant Reliance Industries and Jio – its digital business – announced 10trn rupees (around $110bn) in new investments to build AI computing infrastructure in the country.

Owner Mukesh Ambani said that the investment would fund what he described as India’s sovereign compute infrastructure, which would include multi-gigawatt-scale data centres, a nationwide edge computing network and new AI services integrated with Jio.

“This is not speculative investment, this is patient capital to build India,” Ambani said at the summit in New Delhi.

OpenAI becomes a TCS customer

Tata Consultancy Services (TCS) announced that OpenAI will become its first customer in its recently announced data centre business, Hypervault, with an initial commitment of 100MW of AI capacity. The capacity, it said, can be eventually scaled up to 1GW.

The project is a part of OpenAI’s Stargate venture, a $500bn privately-funded initiative to build AI data centres across the globe.

Alongside infrastructure, the partnership will also deploy ChatGPT Enterprise across parent company Tata Group’s other subsidiaries over the next several years.

“Through OpenAI for India and our partnership with the Tata Group, we’re working together to build the infrastructure, skills, and local partnerships needed to build AI with India, for India, and in India, so that more people across the country can access and benefit from it,” OpenAI CEO Sam Altman claimed.

L&T teams up with Nvidia

Larsen & Toubro (L&T), on the other hand, claimed to be building India’s “largest gigawatt-scale AI factory” using Nvidia’s AI infrastructure, which includes its GPUs, CPUs networking and accelerated storage platforms.

The venture will scale Nvidia GPU clusters at the company’s data centres in Chennai and Mumbai.

“AI is driving the largest infrastructure buildout in human history – everyone will use it, every company will be powered by it and every country will build it,” said Jensen Huang.

Its venture with L&T is “enabling AI factories at national scale”, he added, “ready to serve global and domestic AI demand”.

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CreationDose’s Alessandro La Rosa discusses AI and the creator economy, and why a balance between automation and humanity is needed to preserve authenticity.

The rise of social media and influencers into the mainstream – and the subsequent monetisation that eventually emerged out of the field – has made the ‘creator economy’ an extremely buoyant market in the last decade.

In fact, a Goldman Sachs report from 2023 predicted that the creator economy could be worth as much as $480bn by 2027.

As the creator economy continues to grow, one company is working on using artificial intelligence (AI) to help content creators and brands manage collaboration strategies and campaigns.

CreationDose, a media-tech company based in Sicily, Italy, has developed an AI-powered platform called Vidoser, which aims to help manage the collaboration life cycle between influencers and brands, assisting in tasks such as content production and marketing campaigns.

“I’ve always had a deep passion for communication and for the ways people express themselves through the media,” says founder and CEO Alessandro La Rosa. “When I realised that creators were redefining the language of brands, I decided to build a platform that put them at the centre.

“That’s how Vidoser was born – with the mission to unite technology, creativity and new generations.”

Risk and trust

‘Make sure your ambition is always greater than your fears.’

According to La Rosa, this is the best piece of career advice he has ever received, as it pushed him to “never stop in front of risk, to believe in my projects and to build something concrete even when conditions seemed impossible”.

La Rosa held this advice to heart when founding CreationDose in 2018 and launching Vidoser in 2019, which he describes as the biggest risks he has ever taken, as at the time, talking about the creator economy “still sounded almost utopian”.

“We started with a small team and a big vision in an environment where the start-up ecosystem was still underdeveloped,” he says. “Today, I can say it was the biggest – and most rewarding – risk of my life.”

As CreationDose’s CEO, La Rosa leads the company’s strategic direction, overseeing product development, revenue growth and partnerships, with his main focus being defining the company’s long-term trajectory, ensuring technological innovation remains at the core of its culture, and aligning all business units toward common objectives.

As a business leader, La Rosa says he believes in giving trust and responsibility to his team.

“I try to build an environment where people feel part of the vision and can express themselves freely. I focus more on results than on hours worked, promoting a culture of listening and continuous growth. When people understand that their contribution has real impact, they give their best.”

Balanced automation

The advent of advanced AI technology has sparked concern in multiple industries – especially creative industries such as art and entertainment.

In the aftermath of the rise of generative AI, kicked off by OpenAI’s ChatGPT, professionals from creative industries – ranging from film, TV and literature to music and video games – have voiced worry about the technology encroaching on their sectors and work without restraint.

La Rosa recognises the concern that creatives may have about the technology, and emphasises that a balance is needed between automation and the human in the process.

“It’s natural that people feel apprehensive about AI, especially in creative fields where personal identity carries great value,” he says.

“AI should be used as a creative partner, not a replacement. It can help improve quality, analyse creator performance, suggest optimisations, review content or speed up editing – but the final decisions should always remain in human hands.

“Transparency in the use of AI, data protection and respect for the intellectual property of creators are essential principles.”

La Rosa says that the speed at which the creator economy is evolving means that one of the biggest challenges is maintaining that balance between automation and humanity.

“On one hand, artificial intelligence allows us to scale and optimise content production; on the other, it’s essential to preserve the authenticity of creators and support the people behind this industry,” he says.

“The main advantages are the ability to analyse millions of data points, predict trends and optimise campaigns in real time. The downside is the risk of losing authenticity if everything becomes too automated.”

La Rosa believes that the right balance comes from combining AI with human sensitivity. “Data can guide decisions, but the relationship between brand and creator must remain deeply human.

“I believe AI represents an extraordinary opportunity to free up time, enhance productivity and make tools accessible that were once available only to a few,” he says. “The difference will always depend on how it’s used: as a lever to elevate human ingenuity, not to replace it.”

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OpenAI is about to give ChatGPT an adults-only option. At almost the same moment, the company has parted ways in disputed fashion with one of the executives responsible for deciding how far the system should be allowed to go, as first reported by The Wall Street Journal. OpenAI CEO Sam Altman’s promise of a responsible, safe adult mode for ChatGPT is now at risk of looking hollow.

Ryan Beiermeister led product policy at OpenAI, shaping the rules and enforcement mechanisms governing ChatGPT’s behavior, at least until last month. The timing is notable as WSJ says it happened soon after she raised concerns about the adult mode plans.

A recent Amazon Web Services (AWS) outage that lasted 13 hours was reportedly caused by one of its own AI tools, . This happened in December after engineers deployed the Kiro AI coding tool to make certain changes, say four people familiar with the matter.

Kiro is an agentic tool, meaning it can take autonomous actions on behalf of users. In this case, the bot reportedly determined that it needed to “delete and recreate the environment.” This is what allegedly led to the lengthy outage that primarily impacted China.

Amazon says it was merely a “coincidence that AI tools were involved” and that “the same issue could occur with any developer tool or manual action.” The company blamed the outage on “user error, not AI error.” It said that by default the Kiro tool “requests authorization before taking any action” but that the staffer involved in the December incident had “broader permissions than expected — a user access control issue, not an AI autonomy issue.”

Multiple Amazon employees spoke to Financial Times and noted that this was “at least” the second occasion in recent months in which the company’s AI tools were at the center of a service disruption. “The outages were small but entirely foreseeable,” said one senior AWS employee.

The company and has since . Leadership set an 80 percent weekly use goal and has been closely tracking adoption rates. Amazon also sells access to the agentic tool for a monthly subscription fee.

These recent outages follow a more serious event from October, in which a like Alexa, Snapchat, Fortnite and Venmo, among others. The company for that one.

Late last year, Google briefly took the crown for most powerful AI model in the world with the launch of Gemini 3 Pro — only to be surpassed within weeks by OpenAI and Anthropic releasing new models, s is common in the fiercely competitive AI race.

Now Google is back to retake the throne with an updated version of that flagship model: Gemini 3.1 Pro, positioned as a smarter baseline for tasks where a simple response is insufficient—targeting science, research, and engineering workflows that demand deep planning and synthesis.

Already, evaluations by third-party firm Artificial Analysis show that Google’s Gemini 3.1 Pro has leapt to the front of the pack and is once more the most powerful and performant AI model in the world.

A big leap in core reasoning

The most significant advancement in Gemini 3.1 Pro lies in its performance on rigorous logic benchmarks. Most notably, the model achieved a verified score of 77.1% on ARC-AGI-2.

This specific benchmark is designed to evaluate a model’s ability to solve entirely new logic patterns it has not encountered during training.

This result represents more than double the reasoning performance of the previous Gemini 3 Pro model.

Beyond abstract logic, internal benchmarks indicate that 3.1 Pro is highly competitive across specialized domains:

• Scientific Knowledge: It scored 94.3% on GPQA Diamond.

• Coding: It reached an Elo of 2887 on LiveCodeBench Pro and scored 80.6% on SWE-Bench Verified.

• Multimodal Understanding: It achieved 92.6% on MMMLU.

These technical gains are not just incremental; they represent a refinement in how the model handles “thinking” tokens and long-horizon tasks, providing a more reliable foundation for developers building autonomous agents.

Improved vibe coding and 3D synthesis

Google is demonstrating the model’s utility through “intelligence applied”—shifting the focus from chat interfaces to functional outputs.

One of the most prominent features is the model’s ability to generate “vibe-coded” animated SVGs directly from text prompts. Because these are code-based rather than pixel-based, they remain scalable and maintain tiny file sizes compared to traditional video, boasting far more detailed, presentable and professional visuals for websites and presentations and other enterprise applications.

Other showcased applications include:

• Complex System Synthesis: The model successfully configured a public telemetry stream to build a live aerospace dashboard visualizing the International Space Station’s orbit.

• Interactive Design: In one demo, 3.1 Pro coded a complex 3D starling murmuration that users can manipulate via hand-tracking, accompanied by a generative audio score.

• Creative Coding: The model translated the atmospheric themes of Emily Brontë’s Wuthering Heights into a functional, modern web design, demonstrating an ability to reason through tone and style rather than just literal text.

Business impact and community reactions

Enterprise partners have already begun integrating the preview version of 3.1 Pro, reporting noticeable improvements in reliability and efficiency.

Vladislav Tankov, Director of AI at JetBrains, noted a 15% quality improvement over previous versions, stating the model is “stronger, faster… and more efficient, requiring fewer output tokens”. Other industry reactions include:

• Databricks: CTO Hanlin Tang reported that the model achieved “best-in-class results” on OfficeQA, a benchmark for grounded reasoning across tabular and unstructured data.

• Cartwheel: Co-founder Andrew Carr highlighted the model’s “substantially improved understanding of 3D transformations,” noting it resolved long-standing rotation order bugs in 3D animation pipelines.

• Hostinger Horizons: Head of Product Dainius Kavoliunas observed that the model understands the “vibe” behind a prompt, translating intent into style-accurate code for non-developers.

Pricing, licensing, and availability

For developers, the most striking aspect of the 3.1 Pro release is the “reasoning-to-dollar” ratio. When Gemini 3 Pro launched, it was positioned in the mid-high price range at $2.00 per million input tokens for standard prompts. Gemini 3.1 Pro maintains this exact pricing structure, effectively offering a massive performance upgrade at no additional cost to API users.

• Input Price: $2.00 per 1M tokens for prompts up to 200k; $4.00 per 1M tokens for prompts over 200k.

• Output Price: $12.00 per 1M tokens for prompts up to 200k; $18.00 per 1M tokens for prompts over 200k.

• Context Caching: Billed at $0.20 to $0.40 per 1M tokens depending on prompt size, plus a storage fee of $4.50 per 1M tokens per hour.

• Search Grounding: 5,000 prompts per month are free, followed by a charge of $14 per 1,000 search queries.

For consumers, the model is rolling out in the Gemini app and NotebookLM with higher limits for Google AI Pro and Ultra subscribers.

Licensing implications

As a proprietary model offered through Vertex Studio in Google Cloud and the Gemini API, 3.1 Pro follows a standard commercial SaaS (Software as a Service) model rather than an open-source license.

For enterprise users, this provides “grounded reasoning” within the security perimeter of Vertex AI, allowing businesses to operate on their own data with confidence.

The “Preview” status allows Google to refine the model’s safety and performance before general availability, a common practice in high-stakes AI deployment.

By doubling down on core reasoning and specialized benchmarks like ARC-AGI-2, Google is signaling that the next phase of the AI race will be won by models that can think through a problem, not just predict the next word.