183199105
submission
BrianFagioli writes:
Google has unveiled âoeGooglebook,â a new AI focused laptop platform that blends Android and ChromeOS into what the company calls an âoeintelligence systemâ built around Gemini. The hardware is designed to work closely with Android phones while leaning heavily on AI features and cloud services. Google says the move represents a rethink of the laptop itself, more than 15 years after the launch of Chromebooks. Early devices are expected to focus on premium hardware, Gemini integration, and Google Play app support.
While the branding may sound awkward at first, it is probably the biggest shift in Googleâ(TM)s laptop strategy since ChromeOS debuted. The company appears eager to move beyond the Chromebook name entirely as AI becomes the centerpiece of its ecosystem. Whether consumers actually want laptops built around AI assistants is another question, but the unusually direct âoeGooglebookâ branding suggests Google is betting big that folks are ready for something new.
183183640
submission
BrianFagioli writes:
Kingston says it has shipped more than 100 million A400 SATA SSDs globally since the budget drive launched back in 2017. While the storage industry keeps pushing ever-faster NVMe hardware, the milestone is a reminder that millions of people still rely on humble SATA SSDs to keep older desktops and laptops alive. The A400 became especially popular with repair shops, budget PC builders, schools, and Linux users looking to breathe new life into aging hardware without spending much money.
The Kingston A400 was never marketed as a high-end enthusiast product, but replacing a mechanical hard drive with even a basic SATA SSD can still make a dramatic difference in real-world performance. In an era dominated by AI hype and increasingly expensive PC hardware, the continued success of a straightforward, inexpensive storage upgrade says a lot about what regular computer users actually need. SATA may not be glamorous in 2026, but it clearly is not dead either.
183177022
submission
BrianFagioli writes:
NVIDIA CEO Jensen Huang delivered the commencement speech at Carnegie Mellon University this weekend, telling graduates they are entering âoean extraordinary momentâ as artificial intelligence reshapes science, computing, and industry. Huang described AI as a tool that will expand human knowledge and create opportunities for the next generation, encouraging students to âoerun, donâ(TM)t walkâ toward the future. NVIDIA, of course, sits at the center of the AI boom, supplying many of the GPUs powering modern machine learning systems.
But the speech also carried an awkward irony. Many graduates entering the workforce today are already wondering whether AI will shrink opportunities in coding, writing, customer support, and other white-collar fields. While tech executives continue presenting AI as empowering and productivity-enhancing, companies are increasingly experimenting with automation as a cost-cutting measure. Listening to AI billionaires hype the future of work can sometimes feel a bit like motivational speeches at a hamburger factory.
183159746
submission
BrianFagioli writes:
Micron says it is now shipping the worldâ(TM)s highest-capacity commercially available SSD, and the numbers are honestly hard to wrap your head around. The new Micron 6600 ION packs 245TB into a single drive and is aimed squarely at AI infrastructure, hyperscalers, and cloud providers dealing with exploding data growth. According to the company, the SSD can reduce rack counts by 82 percent compared to HDD deployments offering similar raw capacity, while also cutting power usage and cooling requirements. Micron says the drive tops out at roughly 30W, which it claims is about half the power draw of comparable hard drive setups.
The announcement also feels like another warning sign for spinning disks in the enterprise. Hard drives still dominate bulk storage because of lower cost per terabyte, but SSD capacities keep climbing into territory that used to belong exclusively to HDDs. Micron is also touting major performance gains, claiming up to 84 times better energy efficiency for AI workloads and dramatically lower latency versus HDD-based systems. While nobody is dropping one of these into a home NAS anytime soon, the idea of a quarter petabyte on a single SSD no longer sounds like science fiction.
183157678
submission
BrianFagioli writes:
OpenAI is rolling out a new optional ChatGPT feature called Trusted Contact that allows users to nominate a friend, family member, or caregiver who may be alerted if conversations suggest a serious self-harm risk. The company says the system combines automated detection with trained human reviewers before any notification is sent. Alerts reportedly will not include chat transcripts or detailed conversation history, but instead encourage the trusted person to check in with the user directly.
The feature is already sparking debate about privacy, emotional dependency on AI, and how far chatbot companies should go when users discuss mental health struggles. OpenAI says Trusted Contact is opt-in and designed to complement crisis hotlines and professional care, not replace them. Still, the move highlights how AI chatbots are increasingly drifting into roles once reserved for therapists, counselors, and real-world support systems, which will likely make a lot of users uneasy.
183130854
submission
BrianFagioli writes:
IBM, working with Cleveland Clinic and RIKEN, says it has simulated a biologically relevant protein with 12,635 atoms using a hybrid quantum and classical computing approach. The protein, trypsin, is not just a synthetic benchmark, and that is what makes this interesting. The team split the workload so classical supercomputers handled breaking the molecule into smaller pieces, while IBMâ(TM)s quantum processors took on the quantum mechanical calculations before everything was recombined. According to IBM, this represents a major jump from earlier work that handled systems with around 10 atoms, and it points to steady progress in scaling quantum-assisted simulations.
Still, this does not mean quantum computers are ready to take over drug discovery. The heavy lifting is clearly still being done by classical systems, with quantum hardware playing a supporting role in specific parts of the workflow. IBM also claims large gains in accuracy, but those results are coming from controlled research conditions rather than production environments. It is progress, no doubt, but more of the incremental kind. For now, quantum computing looks less like a replacement for traditional methods and more like an experimental add-on that may eventually earn a permanent place in high performance computing workflows.
183123742
submission
BrianFagioli writes:
Google has launched a new âoeMaking of the Nation — America at 250â experience through its Arts & Culture platform, tying into the upcoming 250th anniversary of the United States. Built in collaboration with the National Archives, the National Park Service, and a White House task force, the project aggregates historical documents, artifacts, and stories into a single interactive hub. Users can explore founding era materials, including letters from figures like George Washington and Abigail Adams, along with lesser-known stories such as Revolutionary War espionage efforts and behind the scenes contributors to independence.
The experience leans heavily on AI, with tools like NotebookLM used to make primary sources more accessible and interactive. There is also a virtual Founders Museum rendered as a 3D gallery, plus AI generated âoeOne Minute Guidesâ for national parks like Yosemite and the Grand Canyon. The result is a mix of digital archiving and modern presentation, raising the usual questions about whether this kind of tech driven storytelling meaningfully improves access to history or simply repackages it under a big tech umbrella.
183111616
submission
BrianFagioli writes:
Ask.com has quietly shut down after nearly 30 years, ending the run of one of the webâ(TM)s earliest attempts at natural language search. Originally launched as Ask Jeeves in 1996, it stood out by encouraging users to type full questions instead of keywords, wrapping the experience in the now-iconic butler persona. That approach never fully kept pace with the rise of algorithm-driven search engines, and once Google took over the space with faster and more relevant results, Ask gradually faded into the background.
Still, the idea it pushed never really died. Asking computers questions in plain English is now the default, whether through voice assistants or modern AI tools. In that sense, Ask Jeeves was early rather than wrong. Its shutdown wasnâ(TM)t loud or controversial, just a quiet reminder of how quickly the web moves, and how even widely recognized names can drift into obscurity once the underlying technology leaves them behind.
183072628
submission
BrianFagioli writes:
A new report from KnowBe4 suggests phishing has entered a different phase, with 86 percent of attacks now driven by AI. That shift is showing up in how these campaigns look and where they land. It is no longer just email. Attackers are targeting collaboration tools like Microsoft Teams, sending malicious calendar invites, and using multi-channel approaches that feel coordinated and legitimate. The days of spotting a scam by bad grammar alone are fading, as AI helps generate cleaner, more convincing messages that blend into everyday workflows.
There is also a noticeable increase in more advanced techniques, including reverse proxy attacks aimed at capturing Microsoft 365 credentials in real time. Combined with a rise in internal impersonation, these attacks are getting harder to detect even for cautious users. If this trend continues, organizations may need to rely more heavily on automated defenses to keep up. Human awareness still matters, but when attackers are scaling with AI, defending without similar tools could leave companies increasingly outmatched.
183060568
submission
BrianFagioli writes:
A newly disclosed Linux kernel vulnerability called Copy Fail (CVE-2026-31431) allows an unprivileged user to gain root access using a tiny 732-byte script, and it works with unsettling consistency across major distributions. Unlike older exploits that relied on race conditions or fragile timing, this one is a straight-line logic flaw in the kernelâ(TM)s crypto subsystem. It abuses AF_ALG sockets and splice to overwrite a few bytes in the page cache of a target file, such as /usr/bin/su. Because the kernel executes from the page cache, not directly from disk, the attacker can inject code into a setuid binary in memory and immediately escalate privileges.
What makes this especially concerning is how quiet it is. The file on disk remains unchanged, so standard integrity checks see nothing wrong, while the in-memory version has already been tampered with. The same primitive can also cross container boundaries since the page cache is shared, raising the stakes for multi-tenant environments and Kubernetes nodes. The underlying issue traces back to an in-place optimization added years ago, now being rolled back as part of the fix. Until patched kernels are widely deployed, this is one of those bugs that feels less like a theoretical risk and more like a practical, reliable path to full system compromise.
183002236
submission
BrianFagioli writes:
Aven has launched a Bitcoin-backed Visa card that lets users borrow against their BTC instead of selling it, offering credit lines up to $1 million with rates starting around 7.99 percent APR. The pitch is simple. Keep your bitcoin, avoid triggering a taxable event, and still get access to spendable cash. The company is also leaning on more traditional loan terms, including fixed-rate options for up to 10 years, which is a notable shift from the shorter, more volatile lending structures typically seen in crypto.
Still, this is not really a normal credit card. It is a loan secured by an asset that can swing wildly in value, and that risk does not go away just because it comes in a familiar card form. If bitcoin drops, borrowers could be forced to add collateral or reduce their balance, which can turn into a problem quickly. For long-term holders who are confident in the asset, this might look like a useful tool. For everyone else, it raises the same question crypto lending always does. Is the upside worth the risk of getting caught on the wrong side of volatility?
182990838
submission
BrianFagioli writes:
Notepad++ has finally made its way to macOS, and this time it is not through a compatibility layer. A new community-driven port brings the long-standing Windows text editor over as a fully native Mac application, built with Cocoa and compiled for both Apple Silicon and Intel systems. Instead of relying on Wine or similar tools, the project replaces the Windows-specific interface with a macOS-native one while keeping the core editing engine intact, allowing longtime users to retain the same workflow, shortcuts, and overall feel.
The port is independent from the original Notepad++ project but tracks upstream changes closely, with development happening in the open. It is code-signed and notarized, and notably avoids telemetry or ads. Plugin support is being rebuilt for macOS and is still evolving, but the groundwork is in place. While macOS already has several established editors, this effort is aimed squarely at users who want the familiar Notepad++ experience without relearning a new tool.
182986694
submission
BrianFagioli writes:
Ransomware activity jumped again in Q1 2026, with 2,638 victim posts on leak sites, up 22 percent year over year, according to ReliaQuest. But the bigger shift is how messy the ecosystem has become. Established groups like Akira and Qilin are still active, while newer players like The Gentlemen surged into the top tier with a 588 percent spike in activity. At the same time, questionable leak sites such as 0APT and ALP-001 are muddying the waters by posting possibly fake breach claims, forcing companies to investigate incidents that may not even be real.
Meanwhile, actors like ShinyHunters are showing that ransomware does not always need encryption anymore. By targeting identity systems and SaaS platforms, attackers can steal data using legitimate access, often through phishing or even phone-based social engineering, and then extort victims without deploying traditional malware. With a record 91 active leak sites and faster attack timelines, the report suggests defenders should focus less on tracking specific groups and more on stopping common tactics like credential theft, remote access abuse, and large-scale data exfiltration.
182976778
submission
BrianFagioli writes:
Sam Altman has published a new set of guiding principles for OpenAI’s approach to AGI, framing the future as a choice between concentrated control by a few companies or broader access for everyone. The document leans heavily on ideas like democratization, empowerment, and “universal prosperity,” while also acknowledging that governments may need new economic models to distribute AI-driven value. OpenAI continues to justify its aggressive spending on compute and infrastructure as part of a long-term push to make AI cheaper and more widely available.
The piece also highlights risks, including cybersecurity threats and the potential misuse of advanced models, and calls for collaboration with governments and other organizations when necessary. Altman admits the company deserves intense scrutiny given its growing influence, and says OpenAI expects to adapt its positions as the technology evolves. Still, critics will likely question whether a company building increasingly powerful, centralized systems can realistically deliver on promises of decentralization and shared benefit.
182274554
submission
BrianFagioli writes:
United Imaging Intelligence has released an open source medical video AI model along with a large dataset and benchmark aimed at surgical and clinical video understanding. The project, called uAI NEXUS MedVLM, includes MedVidBench, a dataset with more than 531000 video instruction pairs spanning multiple medical scenarios, plus a public leaderboard for evaluation. Instead of focusing on general purpose AI, the work targets a narrow but complex problem space where spatial precision, timing, and clinical context all matter.
The results claim that relatively small models can outperform larger general purpose systems on these tasks, which is not as surprising as it sounds. Those bigger models are not trained for frame by frame medical analysis, and the research itself points to domain specific tuning as the key advantage. Still, the combination of open data, benchmarking, and a reproducible training approach makes this more notable than the typical AI release, especially in a field like healthcare where most work stays closed.
