Tag: Business

Apple’s new Siri AI, unveiled yesterday at Apple's annual Worldwide Developers Conference (WWDC 2026), may look like a consumer product story on the surface. But for enterprise developers and IT leaders, the bigger news from WWDC26 is that Apple is turning Siri into a systemwide AI interface for apps, data and workplace actions across iPhone, iPad, Mac, Apple Watch and Vision Pro, as revealed in the WWDC26 Apple Intelligence developer guide.In other words, if your company offers an application on Apple devices, whether it's served on iOS mobile device or Mac, the new Siri AI may force you to change how that application is discovered, served, and its contents and workflows made available to end users. Enterprise developers can expose app content throu

Engineering teams building agentic coding pipelines now have a concrete open-source alternative to managed models like Claude Fable 5 — one that runs on a single H100. The tradeoff: Cohere's North Mini Code, which launched Tuesday, generated three times the output tokens of comparable models in independent testing, a verbosity cost that compounds in high-volume production workloads.The new open-source model is a 30 billion parameter mixture-of-experts (MoE) model with 3 billion parameters active per token, built for agentic software engineering including sub-agent orchestration, architecture mapping, code review and terminal work. The model supports a 256,000 token context window with a 64,000 token maximum generation length, and is available on Hugging

On-device AI models have stayed small because the entire weight set has to live in DRAM, capping practical parameter counts well below what server-side deployments use. Enterprise architects evaluating agentic workloads have had to choose between capable cloud-dependent models and limited on-device ones. Apple's third-generation foundation models, announced at WWDC26, break that constraint by moving the weight set off DRAM entirely.The AFM 3 family was developed in collaboration with Google and spans five models: two on-device and three server-based, all running within Apple's Private Cloud Compute boundary. The server-side models, including AFM 3 Cloud Pro for agentic tool use and complex reasoning, run on Nvidia GPUs in Google Cloud. The on-device architecture is Apple's own. AFM 3 Core Advanced is a 20-billion-parameter model that stores weights in NAND flash rather than DRAM."Instead of forcing the entire model into DRAM, the ful

Anthropic today launched two new AI models — Claude Fable 5 and Claude Mythos 5 — marking the company’s first broad release of the powerful “Mythos-class” AI capabilities it previously made available only to participating organizations in its restricted cybersecurity program, Project Glasswing, which it announced two months ago.The company says Fable 5, which is the version most users and developers will get starting today, exceeds every Claude model it has previously made generally available — featuring stronger performance across software engineering, knowledge work, vision, scientific research and long-running tasks. It smashes the existing benchmarks and comes atop on nearly all of them, though the prior Claude Mythos Preview version of the model still takes the

Presented by Norton For 39 days this summer, the planet will be doing roughly the same thing at the same time. The 2026 World Cup spans 104 matches across 16 cities in the United States, Canada, and Mexico, with billions of people likely to watch over the course of the tournament. It could very well be one of the largest shared events the internet has ever been asked to carry. What’s changed since the last tournament isn’t the scale, it’s the screen. For a growing share of that audience, the match won’t come through television. It’ll come through a browser tab. The problem is the browser you have today simply does not give you a frictionless and reliable way to watch the World Cup for free.In the U.S., a majority of viewers now expect to stream the tournament digitally rather than watch on cable or satellite. It only works when you have a paid subscription. But there is a challenge — for example, fans coming from Europe for who want to w

A joint research collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC), UC Berkeley, and the open source AI-native vector database platform Chroma unveiled Harness-1, a 20-billion parameter open-source search agent built atop OpenAI's gpt-oss-20B open source model that fundamentally redesigns how AI executes complex retrieval tasks. Harness-1 achieves a massive leap in performance, scoring 73% average on its ability to recall relevant information correctly from a curated dataset, outperforming even GPT-5.4 (70.9%) and the next, most accurate open source search agent, Tongyi DeepResearch 30B, by 11.4 percentage points. (While

In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Forty-three percent said a central team owned AI governance; 23% couldn't agree on who owned it at all; and 31% named vendor opacity as the single biggest obstacle.This new wave of research asks the next question: Once you've admitted the governance problem, what breaks first when you try to fix it? The answer from our respondents is unambiguous. The failure point is not the model. It's the runtime.Enterprises are discovering that AI agents built on stateless infrastructure — Python scripts, LangChain chains, ad hoc orchestration — cannot survive the operational realities of production. Container restarts er