Philippines Technology News API

{
    "totalArticles": 172596,
    "articles": [
        {
            "id": "cf65e337507eeeffafa857865d499acf",
            "title": "LG OLED TV: The Brightest Screen at an Unbeatable Price for Black Friday",
            "description": "Playing Call of Duty: Black Ops 6 is a whole different experience with the eye-popping LG OLED G5 -- and you can snag it for $1,000 off during early Black Friday season.",
            "content": "Black Friday deal alert: The LG OLED G5 is currently on a steep sale at Best Buy and Amazon ahead of Black Friday. Out of all the TVs I've tested at CNET, this one is the brightest, and you can snag it for a steal right now.\nCNET's key takeaways\nThe ... [3829 chars]",
            "url": "https://www.cnet.com/deals/lg-oled-tv-the-brightest-screen-at-an-unbeatable-price-for-black-friday/",
            "image": "https://www.cnet.com/a/img/resize/a7ab4b71c02e697d092a445477605f8f4e8a5f79/hub/2025/11/21/447f5753-b744-43e4-b024-c697cc7110ce/lg-oled-g5-black-friday.png?auto=webp&fit=crop&height=675&width=1200",
            "publishedAt": "2025-11-22T14:00:00Z",
            "lang": "en",
            "source": {
                "id": "f262b4e25cc8e3206db7723c77d4fd60",
                "name": "CNET",
                "url": "https://www.cnet.com"
            }
        },
        {
            "id": "240223cb507b8cec29a48db26bf6a68d",
            "title": "These power banks prove that you're probably due for an upgrade",
            "description": "You might be due for a power bank upgrade, especially if you don't mind dropping some serious cash for a life-changing power solution.",
            "content": "If you’re anything like me, you probably have a pile of aging external batteries. Up through this year, I’ve had countless 10,000mAh bricks — the classic “big battery” size through most of the 2010s — along with a handful of smaller cells designed to... [4619 chars]",
            "url": "https://9to5google.com/2025/11/22/these-anker-power-banks-prove-that-youre-probably-due-for-an-upgrade-i-certainly-was/",
            "image": "https://i0.wp.com/9to5google.com/wp-content/uploads/sites/4/2025/11/anker-battery-1.jpg?resize=1200%2C628&quality=82&strip=all&ssl=1",
            "publishedAt": "2025-11-22T12:00:00Z",
            "lang": "en",
            "source": {
                "id": "193b7d40ab663e4d261c3f650b07dbbf",
                "name": "9to5Google",
                "url": "https://9to5google.com"
            }
        },
        {
            "id": "5024a09b8982a96dc556bb5412e8abfd",
            "title": "Limitations of knowledge competency and error patterns in large language models based on orthodontic licensing examinations",
            "description": "This study aimed to evaluate the limitations of large language models (LLMs) in orthodontics by comparing their performance on licensing exam questions categorized by knowledge domains and error types. Deepseek-R1(DS) and ChatGPT-4(GPT) were evaluated using 396 text-based questions from the Chinese National Orthodontic Specialist Licensing Examination. Questions were classified through dual taxonomies: (1) \"knowledge domains\" including foundational biomechanical principles, cross-disciplinary medical integration, specialized orthodontic theory, and clinical decision-making skills; (2) \"error types\" including factual inaccuracies, logical deficits, and semantic misinterpretations. DS demonstrated significantly higher overall accuracy than GPT (80.3% vs 52.3%, p < 0.001), with statistically significant differences in foundational knowledge (79.8% vs 43.4%) and cross-disciplinary domains (81.0% vs 53.0%). Factual errors were predominant in both models (DS:57.7%, GPT:69.3%), though DS exhibited higher logical error rates (24.4% vs 16.4%). While DS outperforms GPT in general orthodontic knowledge assessment, both models show limitations in specialized domains requiring clinical reasoning. The superior performance of DS in standardized exams suggests potential for AI-assisted decision support in orthodontic training and licensing evaluation. However, the persistent factual errors and domain-specific limitations highlight the necessity for clinician verification in real-world applications. Integrating domain-specific knowledge refinement with logical reasoning modules could enhance LLMs' clinical utility in orthodontic practice.",
            "content": "Objectives\nThis study aimed to evaluate the limitations of large language models (LLMs) in orthodontics by comparing their performance on licensing exam questions categorized by knowledge domains and error types.\nMaterials and methods\nDeepseek-R1(DS)... [2519 chars]",
            "url": "https://bmcoralhealth.biomedcentral.com/articles/10.1186/s12903-025-07236-z",
            "image": "https://media.springernature.com/full/springer-static/cover-hires/journal/12903",
            "publishedAt": "2025-11-22T11:28:20Z",
            "lang": "en",
            "source": {
                "id": "98b02f246f5327a016246153fcb3b161",
                "name": "BMC Oral Health",
                "url": "https://bmcoralhealth.biomedcentral.com"
            }
        }
    ]
}