Tag: AI Development
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AI continues to gain importance in everyday business
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A recent McKinsey survey of 1,719 professionals and executives across 97 countries shows that the wider use of AI has so far had only a limited impact on company profits. Nevertheless, around 37% of respondents report a positive effect on operating profit, roughly the same proportion as last year. Companies also report benefits in areas…
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Time Magazine seeks to influence AI models: Perplexity pushes back
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Time Magazine is experimenting with a new advertising model aimed not at human readers but specifically at AI crawlers such as ClaudeBot, OAI-SearchBot and PerplexityBot. The publisher is also making its articles available in simplified Markdown versions that are easier for AI systems to process. These versions include sponsored content designed to influence which information…
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AI jobs and AI skills: Germany diverges from the international trend
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A recent article in Tagesspiegel warns of a growing gap between the rapid advance of AI and the development of the skills needed to use it effectively. According to the latest “AI Jobs Barometer”, both the number of AI-related job vacancies and companies’ demand for AI skills are increasing worldwide. In Germany, however, the picture…
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Soofi S: an AI model from Munich
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Soofi S is the first foundation model developed by the Munich-based open-source project “Sovereign Open Source Foundation Models”. It is intended to provide a technical basis for industrial AI applications, allowing companies, public authorities, research organisations and start-ups to build their own solutions on top of it. The project is funded by the German Federal…
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LinkedIn as a hotspot for AI slop
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An analysis by AI detection provider Pangram shows the extent to which generative AI is shaping professional networks. Of more than one million social media posts examined, 41% of longer LinkedIn posts were classified as entirely AI-generated. Although only around a third of the posts analysed came from LinkedIn, the platform accounted for almost two…
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DiscoBench: how AI agents handle ambiguity
The biggest weakness of AI search agents appears to lie not in the research itself, but in recognising ambiguous requests early enough and asking users targeted follow-up questions. This is the conclusion of a new benchmark developed by researchers from Tencent Hunyuan and Tsinghua University. As AI agents increasingly take on complex information tasks involving…
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Anthropic survey: expectations and concerns about artificial intelligence
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A representative Anthropic survey of almost 52,000 people in the United States paints a mixed picture of expectations surrounding artificial intelligence. The greatest hope is for medical progress: 48% of respondents would like AI to help cure serious diseases such as cancer or Alzheimer’s in the future. 36% hope it will provide better support for…