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Cohere buys Aleph Alpha to forge sovereign AI alternative to US Big Tech

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Canadian AI start-up Cohere has agreed to acquire Germany’s Aleph Alpha in a transatlantic deal aimed at giving governments and regulated industries an alternative to US tech giants.

The combined entity will be anchored in Germany and Canada, pooling engineering talent and compute resources across the two G7 nations. It will target customers in the public sector, finance, defence, energy, manufacturing, telecommunications and healthcare.

As part of the deal, Germany’s Schwarz Group, the retail giant behind Lidl and Kaufland, is leading a €500m structured financing commitment into Cohere’s upcoming Series E round. Schwarz’s sovereign cloud service Stackit will act as the technical backbone of the venture.

The market opportunity is sizeable. McKinsey projects AI services will surpass $1trn annually, with sovereign AI needs accounting for close to $600bn of that total.

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“Organisations globally are demanding uncompromising control over their AI stack,” said Aidan Gomez, co-founder and CEO of Cohere. He said the partnership would give enterprises and governments “the absolute certainty that their data remains their own”.

Ilhan Scheer, co-CEO of Aleph Alpha, said the combined company would give European institutions “access to powerful, yet controllable AI they can truly own”, and serve as a “real counterweight” for organisations that refuse to outsource AI control to a single provider or jurisdiction.

A transatlantic challenger

Forrester’s vice-president and principal analyst Thomas Husson said the deal creates “a unique transatlantic player designed to challenge the dominance of US giants”.

“While it is technically an acquisition by the Canadian firm, the real power is likely to be shared,” Husson said. “Cohere will provide cutting-edge engineering and global product and commercial leadership, while German players (and especially the Schwarz Group) provide the essential capital and political backing.”

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He described the structure as “hybrid and unusual” and said it was aimed at “capturing the sovereign AI market to offer a secure alternative for governments of highly regulated industries to avoid reliance on US cloud laws”.

Husson said the tie-up will put pressure on French AI company Mistral in particular. “This will directly challenge Mistral AI who will now face a new rival combining North American agility with European regulatory trust,” he said.

However, Husson warned that success is not guaranteed. “Ultimately, the deal’s success depends on whether this dual-headed leadership can remain unified while competing against the massive budgets of giants like Microsoft, Google or OpenAI.”

The transaction is subject to approval by Aleph Alpha shareholders and competition regulators.

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In August last year, Cohere raised $500m at a $6.8bn valuation and hired the former Meta vice-president for AI research Joelle Pineau as its first chief AI officer. Pineau, a Canadian computer scientist and a professor at McGill University, led Meta’s Fundamental AI Research team.

Cohere’s oversubscribed raise was led by Radical Ventures and Inovia Capital, with additional participation from existing investors including AMD Ventures, Nvidia and Salesforce Ventures.

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OpenAI Codex brings agent AI workflows to coding tasks

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OpenAI Codex is a coding agent powered by ChatGPT that helps developers build, test, and ship software. It can run tasks in parallel, generate and review code changes, and automate repeatable workflows, while working with existing tools and secure sandboxed environments.

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Yong Wang Turns Visualization Into Insights

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When Yong Wang recently received one of the highest honors for early-career data visualization researchers, it marked a milestone in an extraordinary journey that began far from the world’s technology hubs.

Wang was born in a small farming village in southwestern China to parents with little formal education and few electronic devices. Today the IEEE member and associate editor of IEEE Transactions on Visualization and Computer Graphics is an assistant professor of computing and data science at Nanyang Technological University, in Singapore. He studies how people can employ data visualization techniques to get more out of artificial intelligence tools.

YONG WANG

EMPLOYER

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Nanyang Technological University, in Singapore

POSITION

Assistant professor of computing and data science

IEEE MEMBER GRADE

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Member

ALMA MATERS

Harbin Institute of Technology in China; Huazhong University of Science and Technology in Wuhan, China; Hong Kong University of Science and Technology

“Visualization helps people understand complex ideas,” Wang says. “If we design these tools well, they can make advanced technologies accessible to everyone.”

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For his work in the field, the IEEE Computer Society visualization and graphics technical committee presented him with its 2025 Significant New Researcher Award. The recognition highlights his growing influence in fields including human-computer interaction and human-AI collaboration—areas becoming more important as the world generates more data than humans can easily interpret.

Growing up in rural Hunan

Wang was born in southwestern Hunan Province. China’s economy was still developing, and life in his village was modest. Most families in Hunan grew rice, vegetables, and fruit to support themselves.

Wang’s parents worked in agriculture too, and his father often traveled to cities to earn money working in a factory or on construction jobs. The extra income helped support the family and made it possible for Wang to attend college.

“I’m very grateful to my parents,” Wang says. “They never attended university, but they strongly supported my education.”

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“If we build tools that help people understand information, then more people can participate in science and innovation. That’s the real power of visualization.”

Technology was scarce in the village, he says. Computers were almost nonexistent, and televisions were considered precious, expensive household possessions.

One childhood memory still makes him laugh: During a summer vacation, he and his brother spent so many hours playing video games on a simple console connected to the family’s television that the TV screen eventually burned out.

“My mother was very angry,” he recalls. “At that time, a TV was a very valuable thing.”

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He says that despite never having used a laptop or experimenting with electronic equipment, he was fascinated by the technologies he saw on TV shows.

Discovering robotics and engineering

His parents encouraged a practical career such as medicine or civil engineering, but he felt drawn to robotics and computing, he says.

“I didn’t really understand what computer science involved,” he says. “But from what I saw on TV, it looked exciting and advanced.”

He enrolled at Harbin Institute of Technology, in northeastern China. The esteemed university is known for its engineering programs. His major—automation— combined elements of electrical engineering, robotics, and control systems.

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One of the defining experiences of his undergraduate years, he says, was a university robotics competition. Wang and his teammates designed a robot capable of autonomously navigating around obstacles.

The design was simple compared with professional systems, he acknowledges. But, he says, the experience was exhilarating. His team placed second, and Wang began to see engineering as both creative and collaborative.

He graduated with a bachelor’s degree in 2011 and briefly worked as an assistant at the Research Institute of Intelligent Control and Systems at Harbin.

In 2014 he took a position as a research intern working at Da Jiang Innovation in Shenzhen, China.

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That experience helped him clarify his future, he says: “I realized I didn’t enjoy doing repetitive work or simply following instructions. I wanted to explore ideas that interested me, and I wanted to conduct research.” The realization pushed him toward graduate school, he says.

Building tools that help humans work with AI

Wang received a master’s degree in pattern recognition and image processing from the Huazhong University of Science and Technology, in Wuhan, China, in 2016.

He then enrolled in the computer science Ph.D. program at the Hong Kong University of Science and Technology and earned the degree in 2018. He remained there as a postdoctoral researcher until 2020, when he moved to Singapore to join Singapore Management University as an assistant professor of computing and information systems. He moved over to Nanyang Technological University as an assistant professor in 2024.

His research focuses on a challenge facing nearly every business: how to make sense of the enormous amounts of data being generated.

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“We live in an era of information explosions,” Wang says. “Huge amounts of data are generated, and it’s difficult for people to interpret all of it to make better business decisions.”

Data visualization offers a solution by turning complex information into images, patterns, and diagrams that people can more readily understand.

But many visualizations still must be designed manually by experts, Wang notes. It’s a time-consuming process that creates a bottleneck, he says.

His solution is to use large language models and multimodal systems that can generate text, images, video, and sensor data simultaneously and automate parts of the process.

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One system developed by his research group lets users design complex infographics through natural-language instructions combined with simple interactions such as drawing on a touchscreen with a finger. It allows nontechnical people to generate visualizations instead of hiring professional designers.

Another focus of Wang’s research is human-AI collaboration. AI systems can analyze data at enormous scale, but people still need to be the final decision-makers, he says.

Visualization helps bridge the gap between human intention and AI’s complex calculations by making the process an AI system uses to reach a result more transparent and understandable.

“If people understand how the AI system works,” Wang says, “they can collaborate with it more effectively.”

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He recently explored how visualization techniques could help researchers understand quantum computing, a field where core concepts—such as superposition, where a bit can be in more than one state at a time—are abstract. In classical computing, the bit state is binary: It’s either 1 or 0. A quantum bit, or qubit, can be 1, 0, or both. The differences get more dizzying from there.

Visualization tools could help scientists monitor quantum systems and interpret quantum machine-learning models, he says.

The importance of IEEE communities

Teaching and mentoring students remain among the most meaningful parts of Wang’s career, he says.

Professional communities such as the IEEE Computer Society, he says, play a major role in helping him transform early-stage graduate students unsure of which lines of inquiry they will pursue into independent researchers with a solid technical focus. Through conferences, publications, and technical committees, IEEE connects Wang with other researchers working in visualization, AI, and human-computer interactions, he says.

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Those connections have helped him share ideas, collaborate, and stay up to date on innovations in the research community.

Receiving the Significant New Researcher award motivates him to continue pushing the field forward, he says.

Looking back, he says, the distance between his rural village in Hunan and an international research career still feels remarkable. But, he says, the journey reflects something larger about his chosen field: “If we build tools that help people understand information, then more people can participate in science and innovation.

“That’s the real power of visualization.”

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Today’s NYT Connections: Sports Edition Hints, Answers for April 25 #579

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Looking for the most recent regular Connections answers? Click here for today’s Connections hints, as well as our daily answers and hints for The New York Times Mini Crossword, Wordle and Strands puzzles.


Today’s Connections: Sports Edition could trip you up, unless you know your video games. If you’re struggling with today’s puzzle but still want to solve it, read on for hints and the answers.

Connections: Sports Edition is published by The Athletic, the subscription-based sports journalism site owned by The Times. It doesn’t appear in the NYT Games app, but it does in The Athletic’s own app. Or you can play it for free online.

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Read more: NYT Connections: Sports Edition Puzzle Comes Out of Beta

Hints for today’s Connections: Sports Edition groups

Here are four hints for the groupings in today’s Connections: Sports Edition puzzle, ranked from the easiest yellow group to the tough (and sometimes bizarre) purple group.

Yellow group hint: Not on top.

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Green group hint: Hoops teams.

Blue group hint: Great netminders.

Purple group hint: Good group for gamers.

Answers for today’s Connections: Sports Edition groups

Yellow group: In the lowest position.

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Green group: NBA teams, on scoreboards.

Blue group: Hall of Fame hockey goaltenders.

Purple group: Baseball video games.

Read more: Wordle Cheat Sheet: Here Are the Most Popular Letters Used in English Words

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What are today’s Connections: Sports Edition answers?

completed NYT Connections: Sports Edition puzzle for April 25, 2026

The completed NYT Connections: Sports Edition puzzle for April 25, 2026.

NYT/Screenshot by CNET

The yellow words in today’s Connections

The theme is in the lowest position. The four answers are bottom, cellar, last and worst.

The green words in today’s Connections

The theme is NBA teams, on scoreboards. The four answers are DEN, OKC, SAC and WAS.

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The blue words in today’s Connections

The theme is  Hall of Fame hockey goaltenders. The four answers are Brodeur, Fuhr, Parent and Roy.

The purple words in today’s Connections

The theme is baseball video games. The four answers are Backyard, High Heat, Slugfest and The Show.

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Why are top university websites serving porn? It comes down to shoddy housekeeping.

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With that, they have now hijacked that university’s subdomain. Given the reputations universities have, search queries then flow to the top of Google’s results.

Shakhov wrote:

The root cause is simple: organizations create DNS records and never clean them up. There is no expiry date on a CNAME record. Nobody gets an alert when the target stops responding. And most university IT departments don’t maintain a comprehensive inventory of their subdomains and where they point.

This is compounded by how universities operate—they are highly decentralized. Individual departments, labs, research groups, and student organizations can often request subdomains independently. When people leave, there is no decommissioning process for the DNS records they created.

Finding hijacked subdomains is straightforward. People need only enter site:[university].edu “xxx” or site:[university].edu “porn” for an affected institution, and scores of results will appear. In some cases, the subdomains returned no longer lead to porn sites, but as of Friday morning, many still did.

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The lesson here is clear: Any organization with a website should compile a running inventory of all subdomains along with the purpose of each one and its corresponding CNAME record. Then staff should regularly audit the list in search of “dangling” records, meaning those that remain even after the official subdomain has gone dark. Any subdomain found to be inactive should have its CNAME removed.

Clearly, many universities and other organizations are flouting this common-sense practice. Shakhov said only a handful of the affected universities have expunged dangling CNAME records since he went public with his findings earlier this month. Even then, several of them have failed to get the URLs delisted by Google. That results in the indexed remaining visible in search results. Inquiries sent to UC Berkeley, Columbia, and Washington University didn’t receive responses before publication.

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Android wants to replace email verification codes with one-tap credentials

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Google is working on a more streamlined way for app developers to authenticate users. The company has introduced a new verified email credential issued directly through Android’s Credential Manager API, with the goal of modernizing the authentication process. Users will no longer need to check their inbox for temporary authentication…
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RUN Powered by ADP software review: Simple and streamlined for small businesses

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Why you can trust TechRadar


We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

ADP is one of the largest providers of payroll, HR, and tax services in the business world, but its products are more often associated with larger enterprises – so RUN powered by ADP is a refreshing change of pace.

It’s a payroll and HR platform specifically designed for smaller businesses with fewer than 50 employees. We’ve reviewed all the best HR software, with this particular service built to make potentially complex functions faster, easier, and more reliable, so the people in charge of small businesses can concentrate on the work they really want to be doing.

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Hyundai IONIQ V Debuts at Beijing Auto Show, Sports Futuristic Wedge Design

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Hyundai IONIQ V EV Beijing Auto Show Reveal
Hyundai just revealed its IONIQ V sedan at the Beijing Auto Show, and the new vehicle shares the elegant design of the Venus concept that inspired it. The engineers and designers stayed fairly near to the wild lines that made the concept so appealing, releasing an electric machine designed from the bottom up with Chinese buyers in mind.



The IONIQ V’s design features a single flowing curve that extends from nose to tail, with no bumps in between. The frameless doors blend seamlessly into the body, and the side mirrors appear to hover above the fenders. The headlights protrude from the front like the two parts of the Hyundai logo, and a corresponding light bar spans the entire width of the rear, just above the sleek tiny tail. The overall style is low and wedge-like, paying homage to vintage 80s designs while remaining undeniably modern.

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The IONIQ V measures just under 193 inches long, 74.4 inches wide, and has a wheelbase of 114.2 inches. That all adds up to plenty of space inside for everyone, with front passengers having 42.4 inches of legroom and rear passengers having 40.1 inches, which is among the finest in its class for a car of this size. The IONIQ V is nearly as long as a Sonata, but thanks to its all-electric construction, it rides lower and glides more smoothly.

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Things under the hood are powered by an 800-volt electrical system, which allows you to take advantage of speedy charging. CATL is providing the batteries, which together provide more than 600 kilometers of range on China’s CLTC test cycle, or approximately 373 miles under local conditions. Of course, real-world driving would likely be slightly lower, but the layout appears to have been designed with long-distance comfort in mind for China’s congested highways.

Hyundai IONIQ V Interior
Hyundai IONIQ V Interior
Inside the driver’s cockpit, there’s a very clean dashboard with a single large 27-inch screen operating at 4K resolution. The steering wheel contains the only physical controls, while the typical gauges are located on the horizon-style head-up display. The software is powered by Qualcomm’s Snapdragon 8295 chip, and Hyundai’s onboard AI voice assistant is ready to listen for natural voice requests to modify music, navigation, climate, or seat settings. Orange and blue interior tones add a touch of modest color without overwhelming the serene and peaceful cabin.

Hyundai IONIQ V EV Beijing Auto Show Reveal
Hyundai executives characterize their strategy as producing cars in China for Chinese drivers before exporting the best parts to other markets. The IONIQ V is already hinting at several new stylistic elements that could make their way into future Hyundais all over the world, whether in next-generation crossovers or sedans. You can get in on the fun later this year, and all of the cars will come with specialized staff to assist with servicing, as well as a one-price policy aimed to make purchasing much easier.
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Want a premium Pixel for less? The Pixel 10 Pro XL is now under $850

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The jump from a good smartphone camera to a genuinely great one comes down to how the hardware and software work together, and no manufacturer has pushed that integration further than Google has with the Pixel 10 Pro XL.

The Google Pixel 10 Pro XL is a fantastic phone, and with $250 knocked off the asking price, it’s now available for $849 — a figure that starts to look very reasonable once you understand what the hardware is actually capable of.

Google Puxel 10XL on a blue backgroundGoogle Puxel 10XL on a blue background

Right now you can buy a Google Pixel 10 Pro XL for under $850

The Google Pixel 10 Pro XL is the best premium Pixel phone you can buy right now, and at $849, that case has never been easier to make.

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The headline camera number is 100x Pro Res Zoom, powered by a combination of the upgraded telephoto lens and Google’s AI imaging pipeline, which means the kind of reach that used to require a dedicated camera is now sitting in your pocket at a fraction of the cost.

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The Pixel 10 Pro XL‘s camera system is built on top of the Google Tensor G5 chip, which Google describes as the biggest chip upgrade in the Pixel lineup yet, with an improved TPU and CPU designed specifically to handle the kind of on-device AI processing that makes features like Pro Res Zoom and real-time video stabilisation possible.

Gemini Live also adds another layer to the camera experience — point the camera at something you’re curious about and have a natural spoken conversation about what you’re seeing, whether that’s an exhibit at a museum or a dish on a menu you can’t read.

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The 6.8-inch Super Actua OLED display reaches 3,300 nits of peak brightness, which puts it ahead of the standard Pixel 10‘s Actua panel and makes outdoor visibility a genuine strength rather than a tolerated limitation, even in direct sunlight.

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Build quality comes from durable aluminium and Corning Gorilla Glass Victus 2, and the phone is water resistant, so the hardware matches the ambition of everything running on top of it.

Seven years of software and security updates, 256GB of storage, and a 5,200mAh battery rated for 24-plus hours cement the Google Pixel 10 Pro XL as the best premium Pixel phone you can buy right now, and at $849 with $250 off, that case has never been easier to make.

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4 easy ways to stay on top of cybersecurity in the workplace

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As cyberthreats advance, so too must workforce cyber defences to avoid making what are often preventable and costly mistakes.

Cybersecurity measures in the workplace never grind to a halt, in that employees and employers must always strive to ensure that their skills and systems are as advanced, if not more so, than those wielded by people with malicious intent.

A lot of cybersecurity is arguably common sense – don’t click suspicious links, don’t share sensitive information and so on – but it doesn’t hurt to have a refresher course now and then to keep it all fresh in the mind. To that point, here are some of the most helpful tips to follow if you want to improve or maintain your company’s cybersecurity efforts. 

Silo your systems

This one is specifically for anyone who works from home. It goes without saying that we feel comfortable in our own properties and have tried and tested ways of doing things. But there is such a thing as being too comfortable and employees may forget that their systems should never overlap with the organisations.

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If you are using company software, keep all activity tied to the workplace. That is to say, don’t download anything not approved by the organisation, or anything you are using in a personal capacity. 

Furthermore, if you move around and work between locations – for example at home, a cafe, a work hub – do your due diligence first and ensure that the network you are using is secure. This can be easier said than done, as using public Wi-Fi in general can be risky. With that in mind, shared office spaces and hubs tend to be a more secure option. If you are using what could be a potentially non-secure network in a public place, always use a VPN as an added layer of protection. 

Get AI ready 

Advancements in technology unfortunately bring risk. AI has unlimited potential and it is certainly the way forward for a lot of organisations looking to advance, scale and grow, but as we have seen recently, it also presents significant risk, as threat actors can use it to launch highly sophisticated scams. The companies and employees that are serious about avoiding and navigating threats are the ones that will adopt AI upskilling as a core aspect of the organisation – not just as a once a year box-ticking exercise.   

Useful skills to consider include an understanding of AI and ML models, data science for cyber defence, AI-specific threats and broad digital literacy. You can’t defend against a threat that you don’t understand and if your organisation has knowledge gaps, then you are automatically in a weak position. So make sure everyone on a system understands the ins and outs of how it works and how to keep it secure. 

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Simple simply isn’t good enough

We have all picked a password because it was simple and easy to remember, making our own lives simpler and easier, in theory. But when you choose an obvious password, or take shortcuts online, it can expose you to malicious people who can easily bypass the protections you put in place. 

That doesn’t mean that every password has to be 80 characters long, or so obscure that you yourself can’t recall it without physically writing it down. But it should be something with a diverse set of characters, that someone else couldn’t guess. For example, avoid using easily obtained information like the names of pets, loved ones, birthdays or other significant dates. Implementing multifactor authentication adds another critical layer and biometric verification tools, such as fingerprint or facial recognition software, can also be useful. 

Stay current

It is important to note that all of the above is effectively useless if you are operating off of a system that is old or is not updated frequently. In the same way that innovators are constantly coming up with new ways to enhance a system, bad actors are also constantly coming up with ways to break and exploit weaknesses in systems. If you don’t regularly update your devices then you are basically holding a door open for threat actors and welcoming them in. 

If your approved system or device is due an update or if there is a trustworthy patch to be applied, don’t put it on the long finger. The longer you leave an update the more vulnerable you leave yourself, your co-workers and the organisation. So, don’t leave it on the to-do list for too long. 

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When it comes down to it, cybersecurity measures are arguably the most important policies in place at a company. When they are breached or weakened, either accidentally, or on purpose, there is no one in an organisation that won’t feel the impact. Externally, it also places the consumers and partners of a business at risk. Especially financially, or if that business deals with complex or sensitive information.  

So we all have to do our bit to ensure practical, robust and consistent cybersecurity engagement.

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Meta signs multibillion-dollar deal to use Amazon’s Graviton chips for agentic AI

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An AWS Graviton chip. (Amazon Photo)

Facebook parent Meta signed a deal to use Amazon’s Graviton chips for agentic AI, the latest indication of growing demand for the tech giant’s growing silicon business.

Bloomberg reports that the deal is worth billions of dollars over multiple years. It comes one day after Meta said it would lay off roughly 10% of its workforce, or about 8,000 employees, as companies across the industry cut headcount while pouring billions into AI infrastructure.

The deal gives Meta access to tens of millions of Graviton5 processor cores, running in AWS data centers, making Meta one of the largest Graviton customers in the world, the companies said. It builds on Meta’s existing use of Amazon Bedrock, the company’s platform for AI models.

Amazon CEO Andy Jassy said in a LinkedIn post that agentic AI is “becoming almost as big a CPU story as a GPU story.” In other words, while graphical processing units (mostly from Nvidia) have dominated the AI hardware conversation, agentic systems need traditional central processing units to handle the reasoning and coordination that happens between steps.

The deal comes just after Intel reported a big quarter, with data center revenue up 22%, driven in part by surging demand for CPUs for agentic AI workloads — the same trend Amazon is riding with Graviton. Intel stock is up more than 22%; Amazon stock rose 3% after the Meta news.

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Meta has taken a broad approach, signing deals with Nvidia and AMD, recently agreeing to use Google’s custom processors, and developing its own in-house silicon with Broadcom.

“As we scale the infrastructure behind Meta’s AI ambitions, diversifying our compute sources is a strategic imperative,” said Santosh Janardhan, head of infrastructure at Meta, in a release.

Amazon is establishing itself as a major chipmaker in its own right. CEO Andy Jassy disclosed in his annual shareholder letter that Amazon’s custom silicon business is generating more than $20 billion a year in revenue, saying it’s “quite possible” Amazon will sell racks of its chips to third parties in the future. That would mean competing more directly with Nividia.

Its roster of chip customers is growing. Anthropic committed to running its models on Amazon’s Trainium processors as part of a $25 billion expanded partnership announced this week, and OpenAI agreed to use Trainium as part of a $100 billion cloud deal earlier this year

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