IT and technology

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Latest

  • Redakcja

    🔒 How far are we from AGI? It depends on who’s measuring

    AGI has long been the goal of the world’s biggest AI labs. The problem is that OpenAI, Google DeepMind, Anthropic and Chinese players don’t always mean the same thing when they talk…

    🔒 How far are we from AGI? It depends on who’s measuring

  • prof. dr hab. Dariusz Jemielniak

    🔒 Get to work

    A robot will bring you coffee. Just make sure you know who you’re going to drink it with, because drinking alone, as we all know, isn’t good for you.

    🔒 Get to work

  • Redakcja

    🔒 A World Cup with an algorithm. Artificial intelligence takes the field

    At the 2026 World Cup, artificial intelligence is no longer an add-on to the tournament and becomes its technological foundation. Advanced analytics is also no longer a privilege of the wealthiest.

    🔒 A World Cup with an algorithm. Artificial intelligence takes the field

  • prof. dr hab. Dariusz Jemielniak

    🔒 Whose is your twin?

    Imagine a scene from the near future. You go to the doctor with chest pain. Instead of immediately referring you for additional tests, the doctor runs a simulation on your “digital twin”…

    🔒 Whose is your twin?

  • prof. dr hab. Dariusz Jemielniak

    🔒 Mythos versus logos: about fear and the sickle

    On April 7, Anthropic announced something unusual. A new AI model called Mythos is reportedly so dangerous that the company has chosen not to make it publicly available. Access is being granted…

    🔒 Mythos versus logos: about fear and the sickle

  • Krzysztof Mirończuk

    🔒 The Productivity Paradox 2.0. Where is AI generating profits in 2026?

    Enthusiasm for AI is giving way to hard-nosed reckoning. Data from logistics and procurement show that outsized returns on investment appear only where algorithms take autonomous control of processes, not where they…

    🔒 The Productivity Paradox 2.0. Where is AI generating profits in 2026?

  • Krzysztof Mirończuk

    🔒 AI 2026: a maturity test?

    Practical implementation, tighter cost tracking and better quality. We’re heading into a year where what matters isn’t AI’s technological promises, but whether it makes sense to use it and whether organizations can…

    🔒 AI 2026: a maturity test?

  • Krzysztof Mirończuk

    🔒 AI 2025: the year when promises came due

    2025 was the year the AI “fairy tale” ended. This technology moved into homes and businesses for good, bringing challenges around scale, costs, regulations and usage in ways far from what its…

    🔒 AI 2025: the year when promises came due

  • Kamil Polak

    🔒 The Dead Internet Theory in reality

    What if most of what you read online wasn’t written by a person? Bots and AI models are flooding the web faster than anyone realizes. This isn’t some apocalyptic vision of the…

    🔒 The Dead Internet Theory in reality

  • Krzysztof Mirończuk

    🔒 NVIDIA’s Apollo. A giant leap for mankind?

    NVIDIA is rolling out Apollo — AI models that can predict complex physical phenomena in seconds instead of hours. It promises a huge speed boost for engineers, though the technology still has…

    🔒 NVIDIA’s Apollo. A giant leap for mankind?