Cybersecurity firm CrowdStrike is laying off 500 employees—5% of its workforce—as it shifts towards an AI-led operating model to boost efficiency and hit a $10 billion annual revenue goal.
In a letter to staff, CEO George Kurtz described AI as a ‘force multiplier’ meant to reduce hiring needs instead of expanding headcount.
The restructure, expected to cost up to $53 million through mid-2026, will still see hiring in customer-facing and engineering roles.
Yet despite its optimism, the company’s regulatory filings flag notable risks in depending on AI, such as faulty outputs, legal uncertainty, and the challenge of managing fast-moving systems. Analysts have also linked the shift to wider market pressures, not merely strategic innovation.
Principal analyst Sofia Ali warned that the AI-first approach may backfire if transparency, governance, and human oversight are not prioritised. Over-reliance on automation—especially in threat detection or customer support—could erode user trust instead of reinforcing it, particularly during critical incidents.
CrowdStrike’s move mirrors a broader tech trend: over 52,000 tech jobs were cut in early 2025 as firms embraced AI to replace automatable roles. For cybersecurity leaders, the challenge now lies in balancing AI’s promise with the human expertise essential to trust and resilience.
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Apple may soon reshape how users search the web on iPhones and other devices by integrating AI-powered search engines directly into Safari instead of relying solely on Google.
According to Bloomberg, the company is ‘actively looking at’ expanding options in its browser to include AI systems such as OpenAI’s ChatGPT and Perplexity, potentially disrupting Google’s long-held dominance in online search.
Currently, Google pays Apple around $20 billion a year to remain the default search engine in Safari — about 36% of the search ad revenue generated through Apple devices. But that relationship may be under pressure, especially as AI tools gain popularity.
Apple has already partnered with OpenAI to bring ChatGPT into Siri, while Google is now pushing to include its Gemini AI system in future Apple products.
Alphabet’s shares dropped 6% following the news, while Apple saw a 2% dip. Apple executive Eddy Cue, testifying in an ongoing antitrust case, noted a recent decline in Safari searches and said he expects AI search tools to eventually replace traditional engines like Google.
Apple, he added, plans to introduce these AI services as built-in alternatives in Safari in the near future.
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Nearly 60,000 Bitcoin addresses linked to LockBit’s ransomware operations have been exposed following a major breach of the group’s dark web affiliate panel.
The leak, which included a MySQL database dump, was shared publicly online and could assist blockchain analysts in tracing LockBit’s financial activity instead of leaving such transactions untracked.
Despite the scale of the breach, no private keys were leaked. A LockBit representative reportedly confirmed the incident in a message, stating that no sensitive access data was compromised.
However, the exposed database included 20 tables, such as one labelled ‘builds’ that contained details about ransomware created by affiliates and their targeted companies.
Another table, ‘chats,’ revealed over 4,400 messages from negotiations between victims and LockBit operators, offering a rare glimpse into the inner workings of ransomware extortion tactics.
Analysts believe the hack may be connected to a separate breach of the Everest ransomware site, as both featured identical messages, hinting at a possible link.
The incident has again underscored the central role of cryptocurrency in the ransomware economy. Each victim is typically given a unique address for payments, making tracking difficult.
Instead of remaining hidden, these addresses now give law enforcement and blockchain experts a chance to trace payments and potentially link them to previously unidentified actors.
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Netflix is trialling an AI chatbot inside its iOS app, offering a new way for users to find content by simply typing natural phrases instead of relying on standard searches. In this small, opt-in beta, users might say things like ‘I want something funny and upbeat; to receive tailored recommendations.
The company believes the AI chatbot could soon become a core part of its app on both iOS and Android, and perhaps even land on TVs in future.
Alongside this, Netflix is reshaping the user experience by surfacing helpful labels like ‘Emmy Award Winner’ and ‘#1 in TV Shows’ to help viewers choose faster instead of scrolling endlessly.
Search and My List are moving to the top of TV screens for better visibility, and the homepage is getting a cleaner, more modern design.
Netflix says recommendations will also shift dynamically based on a viewer’s mood or interests, although it hasn’t explained exactly how this will work.
On mobile, Netflix plans to roll out a vertical feed of show and movie clips in the coming weeks. You’ll be able to tap to watch, save, or share immediately—turning content discovery into a quick and interactive experience instead of a chore.
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French startup Mistral AI is making waves with the launch of its Medium 3 model family and a business chatbot called Le Chat Enterprise, aiming to disrupt a market long dominated by OpenAI, Google, Microsoft, and Anthropic.
The company claims its new models outperform rivals while needing fewer computational resources, giving businesses a more efficient and affordable AI alternative.
The Medium 3 family consists of Small, Standard and Large variants, with the Standard version described as the ideal balance between power and efficiency.
Capable of handling context windows up to 128,000 tokens, these models can process long documents and complex inputs without the costs typically associated with top-tier AI systems.
Meanwhile, Le Chat Enterprise offers companies a privacy-focused, ready-to-deploy chatbot tailored for business use instead of consumer settings.
Backed by €385 million in funding and a team of former DeepMind and Meta researchers, Mistral continues to set itself apart by combining open-source releases with commercial offerings.
If its performance claims hold in independent benchmarks, Mistral may force the AI industry to compete not only on raw capability but also on value—a shift that could benefit enterprises seeking practical, cost-effective AI solutions instead of hype-driven tools.
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An Irish startup, Equal1, has unveiled the world’s first silicon-based quantum computer designed to integrate smoothly into existing data centres instead of requiring entirely new infrastructure.
Named Bell-1, the compact six-qubit device is built to slot directly into standard server racks, weighing just over 200 kilograms and roughly matching the size of a conventional GPU server.
Its standout feature is a self-contained cooling unit that maintains a temperature of 0.3 kelvin without external cryogenics, making it far more practical to deploy than traditional quantum machines.
Bell-1 relies on silicon-based spin qubits instead of more common trapped-ion or superconducting qubits, allowing it to take advantage of existing semiconductor fabrication methods. This choice results in smaller, more scalable components and paves the way for greater qubit density.
The UnityQ chip at the system’s core combines quantum processor units (QPUs), Arm CPUs, and neural processing units (NPUs), eliminating the need for complex coordination between classical and quantum systems — it can be plugged into a power outlet and used like conventional hardware.
The platform includes built-in error correction and AI-powered controls developed in partnership with Arm, helping reduce errors and increase operational speed. Even though this first-generation chip supports just six qubits, Equal1 plans to scale up future versions.
Instead of replacing the entire system, early adopters will be able to upgrade existing installations, ensuring long-term relevance and smoother adoption of more advanced models.
Equal1’s breakthrough builds upon performance records it set in late 2024, where its silicon qubit arrays demonstrated the highest gate fidelity and speed ever recorded.
Bell-1 marks a significant leap forward by offering quantum capabilities without the barriers typically associated with quantum hardware, bringing the technology closer to practical use in traditional computing environments.
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OpenAI plans to reduce the share of revenue it gives Microsoft as part of its long-term partnership, according to a report by The Information.
The AI firm has told investors it expects to share just 10 per cent of its revenue with Microsoft and other commercial partners by 2030, instead of the 20 per cent originally agreed under its current deal.
The change comes as OpenAI scales back a broader restructuring effort. The company’s nonprofit parent will now retain control, a move likely to limit CEO Sam Altman’s influence. Despite ongoing collaboration, this shift signals a recalibration of financial and governance dynamics between the two companies.
Microsoft, which recently altered parts of its agreement with OpenAI while pursuing major AI data centre projects, has not commented on the latest report. OpenAI, meanwhile, said it remains committed to working closely with Microsoft and expects to finalise the details of its recapitalisation soon.
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Microsoft is bringing more AI to Windows 11 with a new AI assistant built into the Settings app. This smart agent can adjust system settings like mouse precision, help users navigate the interface, and even troubleshoot problems—all by request.
With the user’s permission, it can also make changes automatically instead of relying on manual adjustments.
The AI assistant will first roll out to testers in the Windows Insider programme on Snapdragon-powered Copilot+ PCs, followed by support for x86-based systems.
Although Microsoft has not confirmed a release date for the general public, this feature marks a major step in making Windows settings more intuitive and responsive.
Several other AI-powered updates are on the way, including smarter tools in File Explorer and the Snipping Tool, plus dynamic lighting in the Photos app.
Copilot will also gain a new ‘Vision’ feature, letting it see shared windows for better in-app assistance instead of being limited to text prompts alone.
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Amazon’s latest innovation, the Vulcan robot, is set to revolutionise the company’s warehouse operations. These cutting-edge robots are designed with an advanced ‘sense of touch,’ enabling them to perform tasks such as picking and packing, which were previously exclusive to human workers.
It could significantly reduce the number of jobs required in Amazon’s fulfilment centres worldwide, potentially displacing lower-skilled workers, particularly those in temporary or younger roles.
Vulcan’s technology allows it to navigate complex tasks, including placing items into precise spots and handling a vast array of products with care, a challenge that was previously difficult for robots.
Amazon argues that the robots will improve workplace safety by reducing the physical strain on employees and minimising injuries, while also boosting operational efficiency.
However, the shift towards automation raises concerns about the future of employment within Amazon’s warehouses.
Though Amazon emphasises that robots like Vulcan will complement human workers, the growing use of automation, including drone deliveries and AI-powered machines, could diminish the need for human labour in certain roles.
A move like this, combined with the company’s broader tech investments, prompts significant questions about the future of work and the potential societal impacts of widespread automation.
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We are confronted with this phenomenon through photos, video and audio recordings that can easily confuse us and force us to question our perception of reality.
And while the public often focuses on deepfakes, at the same time we are witnessing inventions and patents emerging around the world that deserve admiration, but also spark important reflection: are we nearing, or have we already crossed, the ethical red line?
For these and many other reasons, in a world where the visual and functional differences between science fiction and reality have almost disappeared, the latest inventions come as a shock.
We are now at a point where we are facing technologies that force us to redefine what we mean by the word ‘reality’.
Neuralink: Crossing the boundary between brain and machine
Amyotrophic lateral sclerosis (ALS) is a rare neurological disease caused by damage and degeneration of motor neurons—nerve cells in the brain and spinal cord. This damage disrupts the transmission of nerve impulses to muscles via peripheral nerves, leading to a progressive loss of muscle function.
However, the Neuralink chip, developed by Elon Musk’s company, has helped one patient type with their mind and speak using their voice. This breakthrough opens the door to a new form of communication where thoughts become direct interactions.
Liquid robot from South Korea
Scenes from sci-fi films are becoming reality, and in this case (thankfully), a liquid robot has a noble purpose—to assist in rescue missions and be applied in medicine.
Currently in the early prototype stage, it has been demonstrated in labs through a collaboration between MIT and Korean research institutes.
ULS exoskeleton as support for elderly care
Healthcare workers and caregivers in China have had their work greatly simplified thanks to the ULS Robotics exoskeleton, weighing only five kilograms but enabling users to lift up to 30 kilograms.
This represents a leap forward in caring for people with limited mobility, while also increasing safety and efficiency. Commercial prototypes have been tested in hospitals and industrial environments.
Another example from China that has been in use for several years. Robots equipped with AI perform precise crop spraying. The system analyses pests and targets them without the need for human presence, reducing potential health risks.
The application has become standardised, with expectations for further expansion and improvement in the near future.
The stretchable battery of the future
Researchers in Sweden have developed a flexible battery that can double in length without losing energy, making it ideal for wearable technologies.
Although not yet commercially available, it has been covered in scientific journals. The aim is for it to become a key component in bendable devices, smart clothing and medical implants.
Volonaut Airbike: A sci-fi vehicle takes off
When it comes to innovation, the Volonaut Airbike hits the mark perfectly. Designed to resemble a single-seat speeder bike from Star Wars, it represents a giant leap toward personal air travel.
Functional prototypes exist, but testing remains limited due to high production costs and regulatory hurdles related to traffic laws. Nevertheless, the Polish company behind it remains committed to this idea, and it will be exciting to follow its progress.
NEO robot: The humanoid household assistant
A Norwegian company has been developing a humanoid robot capable of performing household tasks, including gardening chores like collecting and bagging leaves or grass.
These are among the first serious steps toward domestic humanoid assistants. Currently functioning in demo mode, the robot has received backing from OpenAI.
Lenovo Yoga Solar: The laptop that loves sunlight
If you find yourself without a charger but with access to direct sunlight, this laptop will do everything it can to keep you powered. Using solar energy, 20 minutes of charging in sunlight provides around one hour of video playback.
Perfect for ecologists and digital nomads. Although not yet commercially available, it has been showcased at several major tech expos.
https://www.youtube.com/watch?v=px1iEW600Pk
What comes next: The need for smart regulation
As technology races ahead, regulation must catch up. From neurotech to autonomous robots, each innovation raises new questions about privacy, accountability, and ethics.
Governments and tech developers alike must collaborate to ensure that these inventions remain tools for good, not risks to society.
So, what is real and what is generated?
This question will only become harder to answer as time goes on. But on the other hand, if the technological revolution continues to head in a useful and positive direction, perhaps there is little to fear.
The true dilemma in this era of rapid innovation may not be about the tools themselves, but about the fundamental question: Is technology shaping us, or do we still shape it?
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