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Learn the latest tech-stories updates in the tech world.

  1. 7h ago

    AI Can Remember Your Chats. Remembering Your Life Is Much Harder.

    This story was originally published on HackerNoon at: https://hackernoon.com/ai-can-remember-your-chats-remembering-your-life-is-much-harder. Building useful AI memory takes more than chat history and RAG. Explore four key challenges in creating AI that understands and recalls real-world experiences. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #aritificial-intelligence, #wearable-technology, #personal-ai, #ai, #future-of-ai, #ai-architecture, #wearables, #ai-wearable, and more. This story was written by: @bocong-looki. Learn more about this writer by checking @bocong-looki's about page, and for more stories, please visit hackernoon.com. For AI to become truly useful in everyday life, it needs memory that goes beyond chat history. Building that memory means solving four key challenges: deciding what to remember, retrieving the right experience, connecting moments over time, and learning from corrections as people and circumstances change. At Looki, we’re exploring how visual evidence, supported by audio, chat, location, and other context, can create AI memory that is grounded in what actually happened—and remains understandable, verifiable, and correctable.

    AI Can Remember Your Chats. Remembering Your Life Is Much Harder.

  2. 7h ago

    Stop Blaming AI. Start Holding Data Center Operators Accountable

    This story was originally published on HackerNoon at: https://hackernoon.com/stop-blaming-ai-start-holding-data-center-operators-accountable. How voters, communities and elected representatives can shape data centre regulation and make AI infrastructure work in the public interest. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #data-centers, #environment, #elections, #technology-and-democracy, #sustainability, #ai-environmental-policy, #data-center-planning, #hackernoon-top-story, and more. This story was written by: @chribonn. Learn more about this writer by checking @chribonn's about page, and for more stories, please visit hackernoon.com. - AI's environmental and social effects are the result of political and planning decisions, not the technology itself. - Data centres should face enforceable rules covering energy, water, emissions, noise, infrastructure costs and community impact. - Planning approvals should include transparency, independent regulation, meaningful penalties and regular permit reviews. - Communities should have formal rights to information, consultation, oversight and fair economic benefits. - Elections matter because elected representatives and public bodies ultimately determine what gets approved and on what terms. - Citizens can act by checking planning applications, questioning candidates publicly and voting for representatives who support stronger safeguards.

    Stop Blaming AI. Start Holding Data Center Operators Accountable

  3. 1d ago

    Building Real-Time Speaker Diarization With JavaScript and the Web Audio API

    This story was originally published on HackerNoon at: https://hackernoon.com/building-real-time-speaker-diarization-with-javascript-and-the-web-audio-api. How can drones be identified by sound? Explore acoustic fingerprints, machine learning classifiers, and the signal processing behind UAV detection. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #speaker-diarization, #acoustic-drone-detection, #drone-acoustic-fingerprint, #speaker-identification, #audio-fingerprinting, #web-audio-api, #mfcc-algorithms, #drone-sound-recognition, and more. This story was written by: @geluvac. Learn more about this writer by checking @geluvac's about page, and for more stories, please visit hackernoon.com. How can drones be identified by sound? Explore acoustic fingerprints, machine learning classifiers, and the signal processing behind UAV detection.

    Building Real-Time Speaker Diarization With JavaScript and the Web Audio API

  4. 1d ago

    500 Blog Posts To Learn About Chainwire

    This story was originally published on HackerNoon at: https://hackernoon.com/500-blog-posts-to-learn-about-chainwire. Learn everything you need to know about Chainwire via these 500 free HackerNoon blog posts. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #chainwire, #learn, #learn-chainwire, and more. This story was written by: @learn. Learn more about this writer by checking @learn's about page, and for more stories, please visit hackernoon.com.

    500 Blog Posts To Learn About Chainwire

  5. 2d ago

    From Global Allowlist to RCE: Breaking Down CVE-2026-50023 in yt-dlp

    This story was originally published on HackerNoon at: https://hackernoon.com/from-global-allowlist-to-rce-breaking-down-cve-2026-50023-in-yt-dlp. How a shortcut-extension exception in yt-dlp's CVE-2024-38519 fix opened the door to CVE-2026-50023, and what the follow-up bug teaches us. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #vulnerability-research, #cve-2026-50023, #yt-dlp, #remote-code-execution, #filename-sanitization, #hls-subtitles, #security-patch-bypass, #allowist-security, and more. This story was written by: @pavanchow. Learn more about this writer by checking @pavanchow's about page, and for more stories, please visit hackernoon.com. A fix for filename sanitization kept dangerous extensions on a global allowlist. I bypassed it by crafting an HLS manifest that forced yt-dlp to write a malicious .desktop file during a standard subtitle download. The patch moved the exception to the feature boundary, but a follow-up CVE proved the class was not fully closed.

    From Global Allowlist to RCE: Breaking Down CVE-2026-50023 in yt-dlp

  6. 2d ago

    When MPLS/SR Makes More Sense Than a Conventional VXLAN Fabric

    This story was originally published on HackerNoon at: https://hackernoon.com/when-mplssr-makes-more-sense-than-a-conventional-vxlan-fabric. VXLAN-EVPN is the data center default, but MPLS/SR can still make sense for telco fabrics requiring traffic engineering, fast reroute, and low overhead. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #data-center-networking, #vxlan-evpn, #mpls, #sr-mpls, #evpn, #network-overlays, #traffic-engineering, #nfv-infrastructure, and more. This story was written by: @vijayananda. Learn more about this writer by checking @vijayananda's about page, and for more stories, please visit hackernoon.com. VXLAN-EVPN is a strong default for general-purpose data center fabrics, but MPLS/SR architectures can offer advantages in telco and NFV environments where encapsulation overhead, explicit traffic engineering, and rapid local failure recovery matter. The comparison, however, depends on the complete underlay and control-plane architecture, not simply whether packets use VXLAN or MPLS encapsulation.

    When MPLS/SR Makes More Sense Than a Conventional VXLAN Fabric

  7. 3d ago

    The Swarm Is the Threat: Why Massed Drones Are Defense's Defining Problem

    This story was originally published on HackerNoon at: https://hackernoon.com/the-swarm-is-the-threat-why-massed-drones-are-defenses-defining-problem. How coordinated swarm drone is going to be the next major threat in aerial warfare Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #drones, #drone-technology, #drone-swarm-technology, #swarm-intelligence, #swarm-robotics, #cyber-warfare, #drone-warfare, #war-tech, and more. This story was written by: @vishwagw. Learn more about this writer by checking @vishwagw's about page, and for more stories, please visit hackernoon.com. Drone swarms are defense's defining threat not because drones are new, but because they attack the structure of modern defense. The cost math is already broken — $20K–$50K drones against $1M–$4M interceptors, with over 1,000 Patriots spent in ten days of the 2026 Gulf conflict — but the deeper problem hits earlier in the kill chain: dense swarms overwhelm target tracking, RF-silent (fiber-optic, vision-guided) drones defeat the cheapest detection and jamming layers, and no human can triage hundreds of tracks in the seconds available. Offensively, swarms are professionalizing fast (decentralized control, inter-agent coordination, full autonomy — each engineered to beat a specific countermeasure), and they've already left the battlefield: ~144 gray-zone incursions over Europe, airport shutdowns costing millions against drones costing nothing. A swarm doesn't need to destroy anything to succeed. The winners won't be whoever builds the best interceptor — they'll be whoever solves the tracking-and-decision layer first, because that's where the swarm actually wins.

    The Swarm Is the Threat: Why Massed Drones Are Defense's Defining Problem

  8. 4d ago

    Muse, Instinct, Wajo, and OpenAI's Dots: Four AI Assistants That Do the Work for You

    This story was originally published on HackerNoon at: https://hackernoon.com/muse-instinct-wajo-and-openais-dots-four-ai-assistants-that-do-the-work-for-you. Four well-funded products from Meta, OpenAI, and fast-growing startups now compete on completed tasks: bills lowered, contracts negotiated, tables booked. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #ai-assistant, #muse, #wajo-ai, #instinct-ai, #dots, #future-of-ai, #future-of-work, #openai, and more. This story was written by: @hacker-Antho. Learn more about this writer by checking @hacker-Antho's about page, and for more stories, please visit hackernoon.com. Four AI assistants, Muse, Instinct, Wajo, and Dots, now take the next step in tasks, reading email, filling out forms, and negotiating, then reporting back for approval. Each assistant has its unique features, such as Wajo's ability to make phone calls and Instinct's hands-off experience.

    Muse, Instinct, Wajo, and OpenAI's Dots: Four AI Assistants That Do the Work for You
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