you are currently viewing::How DeepSeek has changed artificial intelligence and what it means for EuropeMarch 20, 2025--By mid-2024, artificial intelligence large language models (LLMs) were running into diminishing returns to scale in training data and computational capacity. LLM training began to shift away from costly pre-training to cheaper fine-tuning and allowing LLMs to 'reason' for longer before replying to questions. Fine-tuning uses chain-of-thought (CoT) training data that includes questions and the logical steps to reach correct answers. This increases the efficiency of learning for smaller AI models, such as DeepSeek. CoT data can be extracted from large 'teacher' LLMs to train small 'student, models. These changes shift the cost structure of AI models from high pre-training costs to lower fine-tuning costs for model developers and more inference costs for users. Source: bruegel.org |
March 3, 2025—On 2 April 2025 - his self-proclaimed 'Liberation Day' - President Donald Trump once again announced new tariffs. This time, all US trade partners will face a minimum 'discounted reciprocal tariff' of 10%. For countries with trade surpluses deemed guilty of 'currency manipulation and trade barriers', tariffs could rise to nearly 50%. Southeast Asian export-driven economies will particularly be affected. Major trading partners-such as China (34%), the EU (20%) and Japan (24%)-will face intermediate rates, although they are extremely high by historical standards.
February 17, 2025-New data on bilateral trade in services covering over 200 economies from 2005 to 2023 was released by the WTO and the Organisation for Economic Co-operation and Development (OECD) on 17 February.
February 12, 2025- Abstract
The OECD Services Trade Restrictiveness Index (STRI) provides annually updated, comparable information on regulations affecting trade in services across 51 countries and 22 sectors from 2014 to 2024.
January 24, 2025--Summary
Beyond its environmental damage, climate change is predicted to produce significant economic costs. Combining novel high-frequency geospatial temperature data from satellites with measures of economic activity for the universe of US listed firms, this article examines a potentially important channel through which global warming can lead to economic costs: temperature uncertainty.