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Dennis Hulsebos

Forfatter

Technology Integration Specialist

Profil

Påmeldingsdato: 4. des. 2024

Om

Dennis Hulsebos is the Technology Integration Specialist at DVJ Insights, where he focusses on improving workflows and integrating new technologies into the company’s research processes. He works on automating repetitive tasks, implementing AI tools, and developing solutions to make market research projects more efficient. Dennis takes a practical approach to technology integration, balancing automation with user-friendly systems that help the team work smarter. His interests lie in emerging technologies like large language models and natural language processing (NLP), which he uses to enhance DVJ’s ability to analyse and interpret data. By leveraging his technical skills and hands-on problem-solving, Dennis helps the team stay adaptable in an industry where technology evolves quickly.

Oversikt

E-postadresse

dennis.hulsebos@dvjresearchgroup.com

LinkedIn

https://www.linkedin.com/in/dennis-hulsebos-47b2ba208/

Innlegg (14)

19. feb. 2026 ∙ 4 min

When AI Starts Acting, Chat Stops Being the Interface

For a brief moment, chat felt like the natural endpoint of human–AI interaction. It was intuitive, flexible, and forgiving. You asked a question, the system responded, and you decided what to do with the answer. As long as AI remained an instrument for producing text, chat worked remarkably well. That logic breaks down the moment AI stops responding and starts acting. Once an AI system is capable of changing records, triggering workflows, deploying code, or modifying production systems, the...

11. des. 2025 ∙ 3 min

The New Logic of Intelligence

Gemini 3 and the Move From Curation to Connection In recent weeks, Gemini 3 has sparked a quiet but meaningful shift in how we think about artificial intelligence. The conversation is no longer focused only on scale or multimodality, or benchmark performance. It is increasingly centred on something more subtle: the emergence of models that behave less like pattern recognisers and more like systems that can genuinely reason.

20. nov. 2025 ∙ 5 min

Garbage In, Intelligence Out: Why Reason Beats Curation

Humans learn slowly. We spend years studying, specialising, and narrowing our field of vision until we can say we truly know something. A good physicist often knows little about law, and a great lawyer rarely writes code. This limitation shapes how we think about intelligence. We divide people into generalists and specialists because our minds are bounded. There is only so much we can hold and process. When artificial intelligence arrived, we extended this same mental map to machines.We spoke...

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