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Beyond AI
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The following article complements a video published on the Beyond AI channel, which explores fascinating topics related to the development of artificial intelligence. If you are interested in the details of the issues discussed and want to stay up to date with the latest technological developments, visit the Beyond AI channel.
Watch this video on YouTube:
Slowdown in the development of artificial intelligence – is there anything to fear?
Sundar Pichai, CEO of Google, has announced that no major breakthroughs in artificial intelligence should be expected in 2025. According to him, all the ‘low-hanging fruit’ has already been picked, and further progress will require much more time and effort. This information confirms earlier leaks from Google, OpenAI and Anthropic employees, who suggested that new AI models are not yet meeting expectations. Does this mean that we are facing a period of stagnation in this dynamic industry?
Why do AI models have bizarre names?
The issue of naming artificial intelligence models seems to be surprisingly important. Unlike products such as smartphones or cars, where the numbering of successive versions is clear, AI model names can be chaotic. For example, we may encounter names such as ‘New Sonet 3.5’ or ‘Gemini 1.5’, which do not clearly indicate their hierarchy or technological advancement. This is due to the unique process of model creation: they are trained, improved, and sometimes released in different versions that do not necessarily reflect the linear evolution of technology.
A breakthrough in weather forecasting thanks to AI
One of the latest developments in artificial intelligence is the Gencast model, developed by DeepMind, a subsidiary of Google. Gencast is revolutionary in many ways:
- Accuracy of forecasts: The model predicts the weather for 15 days with greater precision than traditional methods, achieving 99% better results in long-term forecasts.
- Efficiency: Forecasts are generated on a single computer within minutes, eliminating the need for expensive supercomputers.
- Diffusion networks: Gencast uses technology previously used in image generation, which enables more accurate prediction of severe weather events such as storms.
Google plans to integrate Gencast with Google Maps, which could significantly improve daily access to accurate weather forecasts.
Can AI have character?
One of the interesting issues raised by experts is the ‘character’ of AI models. Each model is trained according to a specific set of values and design decisions that influence how it responds. An example of this is AI's approach to medical issues – should the model encourage the user to trust the doctor, or provide arguments to support the patient's own concerns?
Amanda Askell of Anthropic, responsible for the development of the Claude model, emphasises the importance of these decisions, which affect billions of interactions with users around the world. Ultimately, the nature of AI reflects the values and beliefs of the people and organisations that create it.
Poland's response to global trends
Finally, it is worth mentioning initiatives on the Polish home front. The announcement of the creation of the Artificial Intelligence Fund, whose resources are to be allocated to the development of a Polish AI model, is a promising step forward. Local models can better take into account cultural specifics and national values, making them more relevant to local users.
FAQ
1. Will the development of AI really slow down?
Experts say that further progress will require more time and resources, but this does not mean the end of innovation.
2. Why do AI models have such strange names?
The model names reflect the complex process of their creation and improvement, which does not always proceed in a linear fashion.
3. What distinguishes the Gencast model from DeepMind?
It is faster, more accurate and uses advanced diffusion network technology, making it a breakthrough in weather forecasting.
Glossary
- Artificial intelligence (AI) – a branch of computer science concerned with creating systems capable of performing tasks that require human intelligence
- Diffusion networks – algorithms trained on the principle of noise reduction, used, among other things, in image generation and data forecasting
- Embedding – a method of representing data in the form of numerical vectors, used in language models
- LLM (Large Language Model) – an advanced language model capable of understanding and generating text
