When you choose to stay in a relationship that no longer serves you, you often operate from fear, and not alignment. Here are three reasons why that happens.

• Forbes Tech
• 2 gün, 12 saat, 9 dakika

Ahead of the Galaxy S26 Ultra's launch in January, Samsung's filings with the FCC reveal the answer to a long-standing community question... Exynos or Snapdragon?

• Forbes Tech
• 2 gün, 12 saat, 10 dakika

A woman is facing felony charges in Evansville, Indiana over a DoorDash delivery in which she allegedly sprayed the food with a substance that made the customers vomit.

• TechCrunch
• 2 gün, 12 saat, 17 dakika

Clive Cookson / Financial Times : A University of Cambridge analysis reveals how cheap SMS text message verification to create online accounts fuels global influence and manipulation campaigns —  Analysis reveals how cheap text message verification fuels global influence and manipulation campaigns

• Techmeme
• 2 gün, 12 saat, 19 dakika

Rivian will launch an AI assistant in 2026 for all its EVs, enabling voice-based vehicle controls, third-party app support, and deeper software integration without requiring new hardware. The post Rivian wants your truck to talk back, and it’s happening in 2026 appeared first on Digital Trends .

• Digital Trends
• 2 gün, 12 saat, 31 dakika

Orico’s PTM dock lineup introduces sliding M.2 trays and varied port layouts, creating a compact system that can behave like a NAS.

• TechRadar
• 2 gün, 12 saat, 34 dakika

If Alien: Romulus reawakened your appetite for the iconic sci-fi franchise , the good news is that a promising video game could be on the way. According to an Insider Gaming report, a new game for the Alien franchise is back in development. The report's sources mentioned that the single-player game will be set in a "decaying space station" as an arcade survival horror that can be compared to "Shadow of [the] Tomb Raider with Xenomorphs." It's not the first time we heard about this Alien game, which was first reported on in 2022 under the codename "Marathon." According to Insider Gaming , the game has cycled through several developers, but more recently landed with Eidos Montreal, which developed Shadow of the Tomb Raider and is currently working on the upcoming Fable reboot . The report added that the game's development budget was increased to less than $75 million, up from the initial $30 million budget from a few years ago. Insider Gaming 's report noted that the game is still in "early development," but could feature Ripley 8, the human-Xenomorph hybrid that was first seen in Alien Resurrection. The game's details and release date are still subject to change, but Insider Gaming 's sources said the game is "in a good place at this point" and is expected to release in 2028 on all platforms. This article originally appeared on Engadget at https://www.engadget.com/gaming/a-aaa-game-for-the-alien-franchise-is-back-in-the-works-204401214.html?src=rss

• Engadget
• 2 gün, 12 saat, 40 dakika

Welcome to Indie App Spotlight . This is a weekly 9to5Mac series where we showcase the latest apps in the indie app world. If you’re a developer and would like your app featured, get in contact . Keeping up with the news can often be exhausting. Headlines offers a clean experience that puts your favorite writers and publications front and center. It’s available on iPhone, iPad, and has a web app. more…

• 9to5Mac
• 2 gün, 12 saat, 54 dakika

Experts tell the Washington Post that workers' social media behavior is on the minds of employers.

• Gizmodo
• 2 gün, 13 saat, 1 dakika

Brooke Sutherland / Bloomberg : The AI boom is delaying US municipal projects, as ~$4T in AI infra spending through 2030 shifts skilled construction workers to AI data centers —  The data center construction boom is sucking up resources from other parts of the market.  State and local projects may face particular competition for labor.

• Techmeme
• 2 gün, 13 saat, 23 dakika

Brooke Sutherland / Bloomberg : The AI boom is delaying US municipal projects, as ~$4T in AI infra spending through 2030 shifts skilled construction workers to AI data centers —  The data center construction boom is sucking up resources from other parts of the market.  State and local projects may face particular competition for labor.

• Techmeme
• 2 gün, 13 saat, 23 dakika

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic coding : AI systems capable of planning changes, executing them across multiple steps and iterating based on feedback. Yet despite the excitement around “AI agents that code,” most enterprise deployments underperform. The limiting factor is no longer the model. It’s context : The structure, history and intent surrounding the code being changed. In other words, enterprises are now facing a systems design problem: They have not yet engineered the environment these agents operate in. The shift from assistance to agency The past year has seen a rapid evolution from assistive coding tools to agentic workflows. Research has begun to formalize what agentic behavior means in practice: The ability to reason across design, testing, execution and validation rather than generate isolated snippets. Work such as dynamic action re-sampling shows that allowing agents to branch, reconsider and revise their own decisions significantly improves outcomes in large, interdependent codebases. At the platform level, providers like GitHub are now building dedicated agent orchestration environments, such as Copilot Agent and Agent HQ , to support multi-agent collaboration inside real enterprise pipelines. But early field results tell a cautionary story. When organizations introduce agentic tools without addressing workflow and environment, productivity can decline. A randomized control study this year showed that developers who used AI assistance in unchanged workflows completed tasks more slowly, largely due to verification, rework and confusion around intent. The lesson is straightforward: Autonomy without orchestration rarely yields efficiency. Why context engineering is the real unlock In every unsuccessful deployment I’ve observed, the failure stemmed from context. When agents lack a structured understanding of a codebase, specifically its relevant modules, dependency graph, test harness, architectural conventions and change history. They often generate output that appears correct but is disconnected from reality. Too much information overwhelms the agent; too little forces it to guess. The goal is not to feed the model more tokens. The goal is to determine what should be visible to the agent, when and in what form. The teams seeing meaningful gains treat context as an engineering surface. They create tooling to snapshot, compact and version the agent’s working memory : What is persisted across turns, what is discarded, what is summarized and what is linked instead of inlined. They design deliberation steps rather than prompting sessions. They make the specification a first-class artifact, something reviewable, testable and owned, not a transient chat history. This shift aligns with a broader trend some researchers describe as “specs becoming the new source of truth.” Workflow must change alongside tooling But context alone isn’t enough. Enterprises must re-architect the workflows around these agents. As McKinsey’s 2025 report “One Year of Agentic AI” noted, productivity gains arise not from layering AI onto existing processes but from rethinking the process itself. When teams simply drop an agent into an unaltered workflow, they invite friction: Engineers spend more time verifying AI-written code than they would have spent writing it themselves. The agents can only amplify what’s already structured: Well-tested, modular codebases with clear ownership and documentation. Without those foundations, autonomy becomes chaos. Security and governance, too, demand a shift in mindset. AI-generated code introduces new forms of risk: Unvetted dependencies, subtle license violations and undocumented modules that escape peer review. Mature teams are beginning to integrate agentic activity directly into their CI/CD pipelines , treating agents as autonomous contributors whose work must pass the same static analysis, audit logging and approval gates as any human developer. GitHub’s own documentation highlights this trajectory, positioning Copilot Agents not as replacements for engineers but as orchestrated participants in secure, reviewable workflows. The goal isn’t to let an AI “write everything,” but to ensure that when it acts, it does so inside defined guardrails. What enterprise decision-makers should focus on now For technical leaders, the path forward starts with readiness rather than hype. Monoliths with sparse tests rarely yield net gains; agents thrive where tests are authoritative and can drive iterative refinement. This is exactly the loop Anthropic calls out for coding agents. Pilots in tightly scoped domains (test generation, legacy modernization, isolated refactors); treat each deployment as an experiment with explicit metrics (defect escape rate, PR cycle time, change failure rate, security findings burned down). As your usage grows, treat agents as data infrastructure: Every plan, context snapshot, action log and test run is data that composes into a searchable memory of engineering intent, and a durable competitive advantage. Under the hood, agentic coding is less a tooling problem than a data problem. Every context snapshot, test iteration and code revision becomes a form of structured data that must be stored, indexed and reused. As these agents proliferate, enterprises will find themselves managing an entirely new data layer: One that captures not just what was built, but how it was reasoned about. This shift turns engineering logs into a knowledge graph of intent, decision-making and validation. In time, the organizations that can search and replay this contextual memory will outpace those who still treat code as static text. The coming year will likely determine whether agentic coding becomes a cornerstone of enterprise development or another inflated promise. The difference will hinge on context engineering: How intelligently teams design the informational substrate their agents rely on. The winners will be those who see autonomy not as magic, but as an extension of disciplined systems design:Clear workflows, measurable feedback, and rigorous governance. Bottom line Platforms are converging on orchestration and guardrails, and research keeps improving context control at inference time. The winners over the next 12 to 24 months won’t be the teams with the flashiest model; they’ll be the ones that engineer context as an asset and treat workflow as the product. Do that, and autonomy compounds. Skip it, and the review queue does. Context + agent = leverage. Skip the first half, and the rest collapses. Dhyey Mavani is accelerating generative AI at LinkedIn. Read more from our guest writers . Or, consider submitting a post of your own! See our guidelines here .

• VentureBeat
• 2 gün, 13 saat, 24 dakika

The IO Interactive team behind the longstanding assassination sim talks Eminem and Milla Jovovich collaborations.

• TechRadar
• 2 gün, 13 saat, 24 dakika

All the ways to stream John Cena’s final match live online, with Gunther aiming to crash the farewell party at Saturday Night's Main Event XLII in Washington, DC.

• TechRadar
• 2 gün, 13 saat, 24 dakika

The Nissan Leaf was one of the first modern electric vehicles to go on sale, but Nissan has been slower to adopt plug-in hybrids. It’s only just now getting one in its lineup, and only by borrowing from another automaker. At first glance, the 2026 Nissan Rogue Plug-In Hybrid seems like a straightforward addition to […] The post How Nissan took a shortcut to a good plug-in hybrid SUV appeared first on Digital Trends .

• Digital Trends
• 2 gün, 13 saat, 24 dakika

90s and 00s kids likely grew up hearing voice actors Jim Ward, Jeff Garcia, and Julie Mayfield across the cartoons and games of their youth.

• Gizmodo
• 2 gün, 13 saat, 34 dakika