A new technique significantly improves weather forecasting beyond two weeks. Researchers developed a machine-learning model that learns to correct errors in existing forecasting models to make their output more accurate over the two-to-six-week time frame, a key window for emergency planning.
I hate that they repurposed Ai and started using GenAI.
GenAI is marketing genius (if marketing can be called genius) because its a useful abbreviation for GenerativeAI AND General AI.
Artificial Intelligence also never meant actual intelligence. Just computing tasks typically associated with human intelligence.
AI requires input. Its just like every other mathematical function in existence. You provide data to the function and you get data back. Lots of data is used to build the function. The more complex the function is, the more effort is required to calculate the result.
Its INFURIATING to me that they used terms like “thinking” for LLMS. They don’t think, they calculate. Text prompt goes in -> processed into token represented numbers -> numbers are entered into the function -> the algorithm calculates the best response token -> the algorithm continues to calculate the likelihood of subsequent tokens until pre-configured bounds are met.
This is why raw LLMs consistently respond with acknowledgement of the prompt, followed by praise of something in the prompt. The models are trained on (neurotypical) human social interactions.
They can’t even be called synthetic intelligence.
We also don’t have an agreed upon definition for intelligence either. Most serious attempts at discussion about AI are doomed from the get go as we don’t even agree on the meaning of terms.