Ghost, an AI agent hardware startup led by its 19-year-old founder, has raised $11 million in funding to build dedicated hardware tailored for autonomous AI agents. The company aims to develop physical devices designed to run agentic software continuously, enabling proactive assistance and ambient interaction beyond traditional screen-bound devices like smartphones and laptops.

Reflection AI has released Beam, an open-source large language model featuring 501 billion parameters designed to compete with top-tier proprietary systems in complex reasoning, mathematics, and software development tasks. Built with a mixture-of-experts architecture, the model allows researchers and enterprise developers to fine-tune, host, and audit its weights independently without relying on third-party API services. By making Beam's architecture and weights fully accessible under an open license, Reflection AI aims to lower cost barriers for large-scale enterprise deployments while promoting transparent safety research across the developer community.

Google and Microsoft face growing environmental criticism over their expanding AI data center infrastructure. In Finland, Google's plan to construct a data center facility in Kajaani reportedly involves clearing roughly 300 hectares of forest, sparking local concerns over deforestation and habitat loss. Simultaneously, Microsoft has presented nature-inspired architectural concepts for over 20 upcoming facilities—featuring green roofs and mass timber construction—aiming to blend with local ecosystems. However, critics have dismissed Microsoft's approach as greenwashing, arguing that decorative design elements do not address the massive energy and water demands required to operate large-scale artificial intelligence workloads.

The U.S. Nuclear Regulatory Commission has approved key safety evaluations for GE Hitachi’s BWRX-300 small modular reactor (SMR), advancing its path toward commercial deployment for data center power needs. Designed to produce 300 megawatts of carbon-free electricity, the reactor aims to meet the rapidly expanding energy demands driven by artificial intelligence workloads and cloud infrastructure. By utilizing passive safety systems and established boiling water technology, the BWRX-300 provides a reliable baseload power alternative to traditional grid connections. With early deployments already progressing in Canada and the UK, this regulatory approval allows U.S. utilities and technology firms to pursue dedicated nuclear energy solutions to support high-density computing expansion.

OpenAI's ChatGPT image generator has been found incorporating real artists' signatures into AI-generated single-panel cartoons styled after The New Yorker. When prompted to create cartoons in the iconic magazine's aesthetic, the model frequently generates scribbled signatures mimicking those of prominent contributors, such as Roz Chast and Liana Finck. Cartoonists have raised serious concerns over reputation damage, artist impersonation, and copyright infringement, as audiences may mistake low-quality or nonsensical AI imagery for their authentic work. The phenomenon highlights critical flaws in how generative AI models handle proprietary identifiers and distinct signatures scraped from training data without consent.

A mugshot circulating on social media of a woman with a striking resemblance to Jennifer Lopez sparked widespread online attention and speculation over her identity. The booking photo, which went viral across social platforms, led internet users to debate whether the image was a genuine arrest photo or an AI-generated deepfake. Reports confirmed the origin of the image as an authentic law enforcement booking photo rather than a digitally manipulated creation, illustrating how rapidly viral lookalike imagery gains traction and prompts authenticity debates online.

NetApp introduced Project Novus, a next-generation metadata architecture designed to eliminate performance bottlenecks in zettabyte-scale AI data infrastructure. As enterprise AI workloads and GPU clusters require rapid access to billions of unstructured files, conventional storage metadata management often becomes a critical bottleneck. Novus addresses this challenge by decoupling metadata operations from underlying data storage, allowing metadata processing to scale linearly and independently. This architecture reduces latency and maximizes throughput across AI training pipelines, enabling organizations to efficiently manage massive data lakes and accelerate large-scale AI deployment.

AI video platform Tavus has introduced Griffin, an ultra-realistic conversational video model capable of generating real-time AI avatars. In blind evaluation tests, 48% of participants mistook the synthetic avatar for a real human, attributed to the model's sub-second latency, natural lip-syncing, and subtle facial micro-expressions. Built for interactive applications such as virtual sales agents, digital customer support, and online coaching, Griffin significantly reduces video generation lag. However, its near-human realism also highlights escalating concerns around synthetic media authenticity and digital identity verification.

Reflection AI has introduced Beam, a 501-billion-parameter open-weight language model optimized for complex reasoning, mathematics, and software engineering tasks. Featuring a mixture-of-experts architecture, Beam delivers frontier-level performance competitive with top proprietary systems while providing open access to its weights for researchers and developers. The model utilizes advanced post-training and reinforcement learning techniques to enhance multi-step problem solving and logical accuracy. By releasing a high-capacity open model, Reflection AI aims to democratize access to state-of-the-art reasoning capabilities and foster community-driven innovation.

Securing Glastonbury Festival tickets is notoriously stressful, requiring fans to endure website crashes and manual refreshing marathons. The rise of AI web-browsing agents raises the possibility of delegating this frustrating task to software capable of navigating forms, clicks, and online queues. However, ticketing platforms rely heavily on anti-bot measures, Captchas, and explicit terms of service that prohibit automated purchasing. While AI agents can technically execute browser tasks, ticket sellers are expected to continue blocking automated tools to maintain equal access for human buyers, making official AI ticket purchasing unlikely in the near future.

At NetApp Insight, NetApp positioned sovereign storage as a foundational architectural decision for European enterprises managing stringent regulatory mandates, data privacy requirements, and hybrid cloud deployments. As organizations navigate compliance frameworks such as NIS2 and the EU Data Act, sovereign storage is evolving from a reactive compliance checkbox into a core design principle. NetApp's intelligent data infrastructure strategy aims to help European businesses maintain strict control and local ownership over sensitive data and AI workloads while seamlessly integrating with hybrid multi-cloud environments.

Meta is reportedly developing an AI assistant capability, internally known as Muse, designed to create detailed profiles on users' friends, family, and personal contacts. By analyzing user interactions and conversation histories, the system logs personal relationships, preferences, and key events to deliver more context-aware and personalized responses. While intended to improve conversational continuity, the practice raises privacy concerns regarding how Meta collects, retains, and manages detailed background data on individuals, including third parties who may not have directly consented to having their personal details stored.

Dell Technologies, private equity firm Apollo Global Management, and Japanese energy company JERA have partnered on a $140 billion initiative to build up to four gigawatts of AI data center capacity across Japan and Asia. The collaboration addresses critical power supply constraints and delays in scaling high-density compute infrastructure. Under the agreement, JERA will provide power solutions and land sites, Dell will supply server hardware and IT infrastructure, and Apollo will manage capital deployment to accelerate the construction and operational readiness of facilities dedicated to artificial intelligence workloads.

Handheld gaming consoles have evolved to serve distinct player preferences, ranging from portable PC gaming to dedicated console ecosystems. The Valve Steam Deck OLED leads as the best overall choice due to its vibrant display, strong battery life, and seamless SteamOS integration. For fans of exclusive franchises and casual play, the Nintendo Switch OLED remains the top pick, while anticipated successors like the Switch 2 promise improved performance. On the high-end Windows handheld side, devices such as the Asus ROG Ally X, Lenovo Legion Go, and MSI Claw 8 AI+ deliver PC power on the go, utilizing advanced processing chips and AI-driven performance optimization to run demanding modern titles.

US financial institutions were targeted in nearly 40,000 phishing attacks during the first half of 2026, driven by threat actors utilizing automated AI agents and offshore bulletproof hosting infrastructure. Cybercriminals are increasingly deploying AI agents to generate tailored, highly convincing phishing lures at scale, while relying on hosting services based in the Seychelles to evade law enforcement takedowns. This combination allows malicious actors to maintain persistent, high-volume campaigns against financial targets, escalating security risks and forcing organizations to reinforce defenses against automated, AI-fueled cyber threats.

Kodiak Robotics is deploying autonomous semi-trucks for long-haul freight deliveries using its proprietary Kodiak Driver system, which combines lidar, radar, and camera sensors to navigate complex highway environments. During a real-world test ride, the self-driving truck smoothly handled highway merging, lane changes, and variable traffic conditions without human intervention. While human safety drivers currently monitor operations, Kodiak is actively transitioning toward fully driverless commercial routes across major logistics corridors. The deployment aims to tackle ongoing freight driver shortages, improve operational safety, and increase the efficiency of supply chain transportation.

Following a high-profile public dispute between AI startup Factory and early investor Khosla Ventures, Menlo Ventures has stepped in to lead a $15 million Series A funding round for the company. Factory develops autonomous AI software agents, known as Droids, that automate engineering tasks such as code reviews, testing, and documentation. Despite the contentious fallout with Khosla over governance and valuation issues, Menlo expressed strong confidence in Factory's technical roadmap and team. The investment will allow Factory to accelerate product development and expand its enterprise AI features for software development teams.

Anthropic reported a Florida woman to law enforcement after safety systems flagged AI chat logs in which she wrote about committing a mass shooting. The 19-year-old had been using Anthropic's Claude chatbot as a personal journal to vent violent thoughts. After receiving the tip from Anthropic, deputies investigated and arrested her on a felony charge of making written threats to perform a mass shooting. The case highlights that consumer AI chatbots are subject to safety monitoring and lack the privacy protections of a personal diary, as platform terms allow reporting credible threats of violence to authorities.

TikTok has introduced new e-commerce features for TikTok Shop, including an AI-powered shopping assistant and a one-click checkout system. The AI assistant helps users discover products, answer product inquiries, and receive tailored recommendations directly within the app's feed and search interface. Paired with streamlined one-click checkout, the updates are designed to minimize purchasing friction by allowing users to complete transactions seamlessly without leaving the platform. The rollout highlights TikTok's effort to expand its social commerce ecosystem and drive higher conversion rates.

Nearly two-thirds of Americans oppose the construction of new AI data centers in their local communities, according to recent survey findings. Despite major tech companies investing heavily in expanding infrastructure for resource-intensive artificial intelligence models, public resistance is rising over environmental and economic concerns. Opponents primarily cite the massive electricity demands that strain local power grids, heavy water consumption required for cooling systems, potential increases in residential utility bills, and localized noise pollution. As public pushback grows, technology firms face mounting challenges in securing approval and land for the infrastructure needed to sustain AI development.