{"id":5881,"date":"2025-04-06T12:58:35","date_gmt":"2025-04-06T10:58:35","guid":{"rendered":"https:\/\/site.nord.no\/didaktiskebetraktninger\/?page_id=5881"},"modified":"2025-11-07T10:30:26","modified_gmt":"2025-11-07T09:30:26","slug":"tester-av-andre-samtaleroboter","status":"publish","type":"page","link":"https:\/\/site.nord.no\/didaktiskebetraktninger\/tester-av-andre-samtaleroboter\/","title":{"rendered":"Tester av andre samtaleroboter"},"content":{"rendered":"\n

«No matter how much LLMs sound like a human, the truth is that they really don\u2019t really understand language, despite being quite good at stringing words together. This proficiency in language can create the illusion of broader intelligence, leading to more elaborate responses. So basically, research shows what we suspected: LLMs are great at bullshitting you into thinking they know the answer. Many people buy this illusion because they either simply want to believe or because they just don\u2019t use critical thinking\u2014something that Microsoft\u2019s researchers discovered in a new study looking at AI\u2019s impact on cognitive functioning<\/em>.\u00bb
– Jesus Diaz, 2025 (1<\/a>)<\/p>\n\n\n\n

«There are few areas where AI has seen more robust deployment than the field of software development. From «vibe» coding to GitHub Copilot to startups building quick-and-dirty applications with support from LLMs, AI is already deeply integrated. However, those claiming we’re mere months away from AI agents replacing most programmers should adjust their expectations because models aren’t good enough at the debugging part, and debugging occupies most of a developer’s time. That’s the suggestion of Microsoft Research<\/a>, which built a new tool called debug-gym to test and improve how AI models can debug software.<\/em>\u00bb
– Samuel Axon, 2025 (2<\/a>)<\/p>\n\n\n\n

«Although AI companies have started talking about \u201creasoning models,\u201d the technology is largely the same as it was when ChatGPT was released in November 2022. LLMs are still word-prediction algorithms: They piece together responses based on works written by authors, scholars, and bloggers. With casual use, ChatGPT does appear to be \u201cfiguring out\u201d the answers to your queries. But is that what\u2019s happening, or is it just very hard to come up with questions that aren\u2019t in its unfathomably massive training corpora?<\/em>\u00bb
– Alex Reisner, 2025 (3<\/a>)<\/p>\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n

I denne samlingen vil det komme tester av ulike samtaleroboter som ikke vil bli inkludert i sammenligningsgrunnlaget i f\u00f8rste omgang. Testene beskrevet her er korte og ment som Work in progress gjennom 2025.<\/p>\n\n\n\n

    \n
  1. Test av den kinesiske Deepseek R1<\/strong><\/a><\/li>\n\n\n\n
  2. Test av Grok<\/strong><\/a><\/li>\n\n\n\n
  3. Test av Kompas AI<\/strong><\/a><\/li>\n\n\n\n
  4. Test av NorskGPT<\/strong><\/a><\/li>\n\n\n\n
  5. Test av OpenAI sin ChatGPT Study mode<\/strong><\/a><\/li>\n\n\n\n
  6. Test av OpenAI ChatGPT-5<\/strong><\/a><\/li>\n<\/ol>\n\n\n
    \n
    \"\"<\/figure>\n<\/div>\n\n\n

    Leseliste<\/h4>\n\n\n\n
      \n
    1. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens<\/a><\/li>\n\n\n\n
    2. OpenAI is launching a version of ChatGPT for college students<\/a><\/li>\n\n\n\n
    3. Kompas AI: Deep Research & Report Generation for Comprehensive Insights<\/a><\/li>\n\n\n\n
    4. Comparing Leading AI Deep Research Tools: ChatGPT, Google, Perplexity, Kompas AI, and Elicit<\/a><\/li>\n\n\n\n
    5. Comparing Elicit, ChatGPT Deep Research, and Kompas AI: UX, Capabilities & Use Cases<\/a><\/li>\n\n\n\n
    6. Grok, Gemini, ChatGPT and DeepSeek: Comparison and Applications in Conversational Artificial Intelligence<\/a><\/li>\n\n\n\n
    7. A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok<\/a><\/li>\n\n\n\n
    8. Why Chatbots Are Not the Future<\/a><\/li>\n\n\n\n
    9. Takk for n\u00e5, ChatGPT, dette gidder jeg ikke mer<\/a><\/li>\n<\/ol>\n\n\n\n
      \"\"<\/figure>\n\n\n\n

      <\/p>\n\n\n\n

      < Tilbake til samlesiden for testene<\/a><\/p>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      «No matter how much LLMs sound like a human, the truth is that they really don\u2019t really understand language, despite being quite good at stringing words together. This proficiency in language can create the illusion of broader intelligence, leading to more elaborate responses. So basically, research shows what we suspected: LLMs are great at bullshitting … Fortsett \u00e5 lese \u00abTester av andre samtaleroboter\u00bb<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"coauthors":[2],"class_list":["post-5881","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/pages\/5881","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/comments?post=5881"}],"version-history":[{"count":19,"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/pages\/5881\/revisions"}],"predecessor-version":[{"id":7163,"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/pages\/5881\/revisions\/7163"}],"wp:attachment":[{"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/media?parent=5881"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/site.nord.no\/didaktiskebetraktninger\/wp-json\/wp\/v2\/coauthors?post=5881"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}