{"id":21225,"date":"2026-10-13T12:05:13","date_gmt":"2026-10-13T12:05:13","guid":{"rendered":"https:\/\/news.theck1.no\/?p=21225"},"modified":"2026-10-13T12:05:13","modified_gmt":"2026-10-13T12:05:13","slug":"open-models-have-real-benefits-do-they-outweigh-the-risks","status":"publish","type":"post","link":"https:\/\/news.theck1.no\/?p=21225","title":{"rendered":"Open models have real benefits. Do they outweigh the risks?"},"content":{"rendered":"

AI-rewritten:<\/strong> This is a summary of an article from MIT Technology Review, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story.<\/p>\n

MIT Technology Review • Grace Huckins • October 13, 2026<\/strong><\/div>\n\n

Late last month, Anthropic released a report arguing that the GLM-5.3 model poses a major cyberattack risk. This powerful model was released in August by the Chinese company Z.ai and is freely available for anyone to download and modify. The core concern is that because it is open, bad actors could easily misuse it. This assertion highlights an ongoing debate about whether frontier AI models should remain locked behind labs or be made open.<\/p>\n

<\/p>\n

Commercial interests heavily influence this discussion. Nvidia CEO Jensen Huang advocates for the United States to develop more open models, as people buying their own hardware benefits his company. Conversely, Anthropic’s Dario Amodei supports a cautious approach, fearing that cheap, powerful models could undermine his company. Despite these incentives, experts like David Gray Widder note that disagreements about openness are influenced by broader views on AI safety versus practical potential.<\/p>\n

Open models differ from closed ones like those powering ChatGPT because their internal structure, known as model weights, is publicly available. While closed models are currently more capable, open models allow researchers to observe the "chain of thought" and businesses to run systems locally for security or cost savings. However, open models also risk being exploited without filters, unlike closed models which can detect harmful requests before execution.<\/p>\n

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Source:<\/strong> MIT Technology Review • Grace Huckins • October 13, 2026<\/p>\n

Read the original article at MIT Technology Review →<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

AI-rewritten: This is a summary of an article from MIT Technology Review, rewritten by AI (Qwen, running locally) to make it easier to read. The facts come from the original article – read it for the full story. MIT Technology Review • Grace Huckins • October 13, 2026 Late last month, Anthropic released a report<\/p>\n

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