Sigurnost Vijesti: 24 rujan 2025 - 7 studeni 2025

Technology News

  • BigBear.ai vs Pony AI: Which AI Stock Is a Better Buy?
    November 9, 2025, 5:26 AM EST. BigBear.ai is built around AI modules for edge networks and relies on government contracts, but revenue has been flat and it remains GAAP-unprofitable. After acquiring Pangiam, it added DHS digital ID/ biometrics work and military modernization, yet analysts expect under 1% annual revenue growth through 2027, and the stock trades at ~18x next year's sales. Pony AI bets on fleets of robotaxis and driverless logistics via partnerships with Toyota and GAC Aion, with most revenue from passenger fees. The stock has risen since its IPO, but profit visibility remains unclear. Overall, BigBear.ai's hurdles and high valuation weigh on upside; Pony AI offers optionality tied to automation adoption but faces execution risk. Investors should weigh government exposure vs commercialization risk and monitor backlog, partnerships, and monetization progress.
  • How AI Helps Meta's Product Leader with Performance Reviews
    November 9, 2025, 5:24 AM EST. In this piece, a Meta product leader explains how AI is transforming the way they conduct performance reviews. By leveraging automated feedback, sentiment and data-driven insights, managers can surface objective metrics, track progress, and tailor development plans. The approach emphasizes reducing bias in evaluations, speeding up administrative tasks, and delivering timely, actionable feedback to teams. The interview sheds light on practical workflows, tools, and guardrails that help scale thoughtful people management in a large organization.
  • Goldman Sachs: Not in an AI bubble as wealthy clients double down on AI-energy and healthcare bets
    November 9, 2025, 5:22 AM EST. Goldman Sachs told Fortune that, despite AI fever, the bank does not see an AI bubble. At the annual At the Helm gathering in Aspen, more than 100 young, wealthy clients-founders, inheritors, and tech leaders-discussed how AI is reshaping finance, healthcare, and energy. The attendees, mostly millennials and young Gen X, are already deep into AI investments and are evaluating who will win as the technology scales. Goldman noted that while there will be winners and losers, valuations in some corners may be overblown, so clients should stay diligent in their bets. The conversations covered AI breakthroughs, investment strategies, and its potential environmental impact across industries. Overall, the mood was optimistic about innovation, even as risk and market cycles are monitored.
  • Comcast Upgrades Deliver Faster Internet (2.1 Gbps Down, 300 Mbps Up) in Middlesex County, NJ
    November 9, 2025, 5:20 AM EST. Comcast has rolled out upgrades in Middlesex County and Northern New Jersey to deliver faster internet over existing connections, part of a $900 million investment over three years. The upgrades boost download speeds up to 2.1 Gbps and uploads up to 300 Mbps, with expansion in Edison to reach Raritan Center and 500 more businesses. Comcast maintains over 48,000 miles of fiber-rich network infrastructure powering homes, businesses, and millions of Wi-Fi hotspots. Company leaders tout AI-powered improvements, ultra-low lag technology, and Wi-Fi PowerBoost for gig speeds on Xfinity Mobile at home and on the go. A $10,000 donation to the Woodbridge Community Charity Fund accompanied the rollout. Learn more at Xfinity stores or Xfinity.com, with 23 Xfinity Stores in New Jersey.
  • Infusing Deep Domain Expertise into Generative AI Through Knowledge Elicitation
    November 9, 2025, 5:06 AM EST. This column revisits knowledge elicitation as a practical path to endowing generative AI and LLMs with true domain expertise. By revisiting GOFAI-era methods, it argues that surface-level documents alone often miss tacit knowledge and best practices embedded in experts' heads. The piece outlines how to surface hidden knowledge, codify it, and feed it into modern models-using strategies like retrieval-augmented generation (RAG) and other data-sourcing techniques-without waiting for exhaustive formal datasets. It explores turning a general LLM into an expert in fields such as medicine, law, or CBT in mental health and compares codified knowledge to tacit know-how. The takeaway: combine structured elicitation with current AI tools to transform LLMs into trusted, domain-smart assistants-and support ongoing coverage in AI breakthroughs.