talk-data.com

In a talk that has the potential to be irritating for both environmentalists and AI-optimists, we will tackle the growing concern about generative AI's environmental impact. We'll explore the energy costs of AI in an accessible way, look at what companies reveal (and don’t) and try to answer the question: is AI's energy cost an overblown issue, or should we be worried?

With o1, OpenAI ushered a new era: LLMs with reasoning capabilities. This new breed of models broadened the concept of scaling laws, shifting focus from train-time to inference-time compute. But how do these models work? What does "inference-time compute" exactly mean? What data do we use to train these new models? And finally - and perhaps more importantly: how expensive can they get, and what can we use them for?

Python 3.14, a brave new version of the language, tries to embrace perfection. It moves us one step forward into the free-threaded era where nothing is (globally) locked anymore. Let's see together where we are so far and where we can go further!