Rokid’s new AR Spatial is designed to be a companion to your attention, rather than a competitor. At 75 grams and $648, it doesn’t aim to reshape the world but to exist alongside your routines, distractions, and activities. The AR Spatial renders the 300-inch screen almost mundane, making it a tool for watching The Bear in bed, catching up on messages, or referencing recipes while cooking. It feels like a regular pair of glasses, allowing you to wear it during a commute, café, or lying down. Instead of being a productivity maximizer, it offers three floating app windows that respond to your gaze and gestures. The headset supports 3D video, Spotify, Netflix, email, and browser tabs, making life slightly more flexible. The most impressive feature is the built-in diopter adjustment, compatibility with Android apps, and the simplicity of charging while wearing.
Google’s Veo 3 video-generating model that creates realistic movements by simulating real-world physics and can create video as well as audio to go along with clips, could potentially be used for video games
Demis Hassabis, CEO of Google’s AI research organization DeepMind, appeared to suggest that Veo 3, Google’s latest video-generating model, could potentially be used for video games. World models are different from video-generation models. The former simulates the dynamics of a real-world environment, which lets agents predict how the world will evolve in response to their actions. Video-gen models synthesize realistic video sequences. Google has plans to turn its multimodal foundation model, Gemini 2.5 Pro, into a world model that simulates aspects of the human brain. In December, DeepMind unveiled Genie 2, a model that can generate an “endless” variety of playable worlds. Veo 3, which is still in public preview, can create video as well as audio to go along with clips — anything from speech to soundtracks. While Veo 3 creates realistic movements by simulating real-world physics, it isn’t quite a world model yet. Instead, it could be used for cinematic storytelling in games, like cutscenes, trailers, and narrative prototyping. The model is also still a “passive output” generative model, and it (or a future Veo generation) would need to shift to a simulator that’s more active, interactive, and predictive. But the real challenge with video game production isn’t just impressive visuals; it’s real-time, consistent, and controllable simulation. That’s why it might make sense to see Google take a hybrid approach that leverages Veo and Genie in the future, should it pursue video game or playable world development.
Tailor’s platform enables enterprises to build their own ERP stack using its composable, headless architecture that decouples the data and logic layer from the UI, allowing for highly customizable workflows and easy integration with best-of-breed SaaS tools
Tailor, a headless ERP platform for modern retail businesses, announced an additional close of its Series A round, bringing the total raised to $22 million. The new investors include JIC Venture Growth Investments (JIC VGI), a Japanese government-backed investment fund, and New Enterprise Associates (NEA). Y Combinator, which participated in Tailor’s seed round, also increased its investment. This second close reflects growing global demand for flexible, API-first business systems that help enterprises move beyond the limitations of monolithic ERPs. “Tailor’s platform serves an increasingly complex supply chain landscape and we believe Tailor has the potential to rethink the ERP systems that power global commerce and operational agility,” said Andrew Schoen, Partner Technology Investing Team, at NEA. Tailor enables mid-market and enterprise companies to build and evolve their own ERP stack with speed and flexibility. Its composable, headless architecture decouples the data and logic layer from the user interface, allowing for highly customizable workflows and easy integration with best-of-breed SaaS tools. With Tailor, companies can: Orchestrate cross-system workflows with customizable modules for inventory, purchasing, fulfillment, finance, and more; Replace or integrate with legacy systems without re-architecting core infrastructure; Give developers and AI agents programmatic access to business logic and operational data; Deliver internal tools or customer-facing experiences with custom UIs
Retailers increasing investment in payment orchestration platforms, tokenization and customer vaulting systems to enable them to own CX relationship end-to-end and gain 360-degree view of the customer for effective segmentation, retention and lifetime value extraction
Once seen as a back-end utility, payments are now central to customer experience and brand differentiation, with innovations like BNPL and embedded finance reshaping how consumers interact with retailers. Video game commerce firm Xsolla is partnering with Affirm to bring BNPL to video game storefronts. The move shows that retailers large and small, digital and brick-and-mortar, are embracing embedded finance and the potential of payments as a lever for growth. Payments are moving from a stealth driver of customer loyalty to a front-and-center strategy for customer retention and lifetime value extraction. This shift is driving greater investment in payment orchestration platforms, tokenization and customer vaulting systems, allowing merchants to deliver a seamless experience while unlocking deeper insights into purchase behavior. Outside of owning the customer relationship end-to-end, another reason retailers are turning to payments as a growth lever is due to data. By consolidating payment rails and unifying back-end systems, retailers can achieve a 360-degree view of the customer. This deep insight allows retailers to understand customer segments, such as whether they should be classified as a “luxury buyer” or a “budget buyer,” and to identify patterns including cart abandonment or cross-category spending. With the convergence of data, customer experience, FinTech innovation and loyalty programs, retailer-driven payments optionality and financial services are emerging not just as a function of commerce, but as a fundamental enabler of brand differentiation and revenue expansion.
AiOpti Media’s AI-powered attribution tech uncovers overlooked, high-intent, and fringe audience segments using first-party data and resolves anonymous website visitors into verified, privacy-compliant identities without relying on cookies
Hallucinations will persist whenever LLMs operate in ambiguous or unfamiliar territory, unless there is a fundamental architectural shift away from black box statistical models. There are essentially two options for high-risk use cases given the current state of LLM evolution: Adopt a hybrid solution: hallucination-free, explainable symbolic AI for high-risk use cases, LLMs for everything else. Leave out high-risk use cases, as suggested in #2 above, but that leaves the benefits of the AI unrealized for those use cases. However, the benefits of AI can still be applied to the rest of the organization. The following rank-ordered list is the steps you could take to limit hallucination. 1) Apply hallucination-free, explainable, symbolic AI to high-risk use cases. This is the only foolproof way to eliminate the risk of hallucination in your high-risk use cases. 2) Limit LLM usage to low-risk arenas. Not exposing your high-risk use cases to LLMs is also foolproof but does not bring the benefits of AI to those use cases. Use-case gating is non-negotiable. 3) Mandatory ‘Human-in-the-Loop’ for critical decisions. Reinforcement Learning from Human Feedback (RLHF) is a start, but enterprise deployments need qualified professionals embedded in both model training and real-time decision checkpoints. 4) Governance. Integrate AI safety into corporate governance at the outset. Set clear accountability and thresholds. ‘Red team’ the system. Make hallucination rates part of your board-level risk profile. Follow frameworks like NIST’s AI RMF or the FDA’s new AI guidance 5) Curated, Domain-Specific Data Pipelines. Don’t train models on the internet. Train them on expertly vetted, up-to-date, domain-specific corpora 6) Retrieval-Augmented Architectures (not a comprehensive solution). Combine them with knowledge graphs and retrieval engines. Hybrid models are the only way to make hallucinations structurally impossible, not just unlikely.
Temenos ranked the 4th most sustainable company in the world by TIME making it the highest-ranking Swiss company and the only core banking software provider in the top 40
Temenos has been ranked the 4th most sustainable company in the world by TIME magazine and Statista. Featured among 500 global sustainability leaders, Temenos is the highest-ranking Swiss company and the only core banking software provider in the top 40. The TIME ranking evaluates the world’s largest companies across more than 20 performance indicators, including ESG transparency, environmental impact, employee well-being, and corporate governance. Developed in partnership with Statista, the methodology places particular emphasis on companies’ climate commitments aligned with frameworks such as the Science Based Targets initiative (SBTi), as well as diversity, talent development, and the quality of sustainability reporting.
Exabeam’s multi-agent security AI generates boardroom-ready summaries that reframe technical metrics into business outcomes by integrating into the complete threat detection, investigation and response workflow
Exabeam, a global leader in intelligence and automation for security operations, has expanded its integrated multi-agent AI system, Exabeam Nova, to provide real-time strategic planning and boardroom communication tools. The Exabeam Nova Advisor Agent is the industry’s first AI capability designed to turn security data into a strategy that CISOs can defend in the boardroom. The system includes six agents designed to automate decisions, streamline investigations, and deliver continuous benchmarking of program effectiveness with clear, prioritized recommendations to drive improvement. Embedded into the New-Scale Security Operations Platform, Exabeam Nova is deeply integrated into the complete threat detection, investigation and response (TDIR) workflow. Within 90 days of launch, users reported five-times faster investigations with improved accuracy. Exabeam Nova’s seamless AI agents work together, allowing users to work smarter and prove the business impact of their security programs. Exabeam Nova is now the only agentic AI that empowers security leaders to: Build Strategic Plans: Automatically generate data-backed roadmaps using daily posture assessments, MITRE ATT&CK coverage, and organizational security data. Communicate with the Executive Team and Board: Generate boardroom-ready summaries that reframe technical metrics into business outcomes, enabling leadership to understand progress, support investment decisions, and evaluate ROI. Identify and Prioritize Gaps: Uncover issues like missing log sources, misconfigurations, and ineffective threat detection content that weakens security posture. Run What-If Analysis: Simulate adjustments or additions to security tooling and detection capabilities to evaluate how proposed actions close gaps and improve security posture. Track and Improve Maturity: Benchmark security posture daily, monitor measurable improvements, and align security operations with long-term organizational goals.
Hackers exploiting Vercel’s gen AI tool v0.dev that lets them quickly reproduce the design and branding of authentic login sites such as Okta and Microsoft 365, often hosting visual assets such as company logos, to create sophisticated phishing websites at scale
Cybercriminals are using Generative Artificial Intelligence (GenAI), specifically the v0.dev tool from Vercel, to create sophisticated phishing websites quickly and at scale. The tool allows attackers to quickly reproduce the design and branding of authentic login sites, often hosting visual assets such as company logos on Vercel’s infrastructure. The research revealed that attackers have used the Vercel platform to host phishing sites imitating not only Okta customers but also brands like Microsoft 365 and various cryptocurrency companies. Vercel responded by restricting access to suspect sites and working with Okta to improve reporting processes for additional phishing-related infrastructure. The report also noted the existence of several public GitHub repositories that replicate the v0.dev application, along with DIY guides enabling others to build their own generative phishing tools. Okta Threat Intelligence highlighted that traditional indicators of poor quality or imperfect design are insufficient for deterrence. To address these risks, Okta Threat Intelligence recommends enforcing phishing-resistant authentication policies, prioritizing the deactivation of less secure factors, restricting access to trusted devices, requiring secondary authentication if anomalous user behavior is detected, and updating security awareness training to account for AI-driven threats.
Precisely’s code-light conversational interface uses MCP to connect APIs with LLMs through natural language prompts and enables instant access to location intelligence tools and rich datasets without requiring any code
Precisely has developed a lightweight setup using the Model Context Protocol (MCP) to connect APIs with large language model (LLM) interfaces like Claude Desktop. This approach eliminates the need for writing boilerplate code and allows for intuitive exploration of services through conversational interfaces. MCP offers a standardized method for AI applications to connect with APIs, data, and tools, enabling LLMs to dynamically decide which functions to invoke in response to user prompts. This aligns with Precisely’s goal of making it easier to integrate high-integrity data with applications and workflows. An MCP server was built to wrap all available endpoints from Precisely APIs, resulting in a code-light environment where Claude Desktop can execute API calls automatically based on a user’s request. The MCP server supports natural language prompts and enables instant access to location intelligence tools and rich datasets without requiring any code. It also helps scale the impact of data programs across the organization without adding to developer workload.
Stablecoins could destabilize the global payment system by creating a dollar-alternative and becoming “quasi-banks”, letting people deposit money in a stablecoin and assume they can withdraw it at any time
Asset manager Amundi has raised concerns that a boom in dollar-backed stablecoins in the wake of the United States’ GENIUS Act could cause a major shift in money flows that destabilises the global payment system. “It could be genius, or it could be evil,” Amundi Asset Management’s chief investment officer Vincent Mortier told, voicing his concerns about the U.S. act. JPMorgan expects the amount of stablecoins in circulation to roughly double to $500 billion in the next few years, although some estimates have put it as high as $2 trillion. As stablecoins need be pegged to the dollar under the U.S. act, it will trigger buying of U.S. Treasury bonds. That has its benefits for the U.S. as it grapples with a gaping budget deficit, but could also pose problems for the U.S. and other countries. “In doing so you create an alternative to the U.S. dollar and that could lead to more weakening of the dollar,” Mortier said. “Because if a country is pushing a stablecoin, it could be perceived as pushing the message that the dollar is not that strong.” Currently, 98% of all stablecoins are pegged to the dollar, but more than 80% of stablecoin transactions happen outside the United States. Mortier said he still had not fully made up his mind about stablecoins, but the worry was that a mass uptake could impact financial stability. As well as the dollarization issue, they would become “quasi-banks” he said, as people will deposit money in a coin assuming they can take it out again whenever they want. They will also be used as a direct means of payment.