This chapter delves into the significance of open source AI models, particularly BloomZ, known for its exceptional transparency. The discussion touches upon the EU's AI act, stressing the necessity for clarity on openness definitions and the ongoing discourse on safeguarding products while meeting transparency criteria.
00:31 How open are ‘open source’ AI systems?
Many of the large language models powering AI systems are described as ‘open source’ but critics say this is a misnomer, with restricted access to code and training data preventing researchers from probing how these systems work. While the definition of open source in AI models is yet to be agreed, advocates say that ‘full’ openness is crucial in efforts to make AI accountable. New research has ranked the openness of different systems, showing that despite claims of ‘openness’ many companies still don’t disclose a lot of key information.
Nature News: Not all ‘open source’ AI models are actually open: here’s a ranking
06:12 Why longer freight trains are more prone to derailment
In the US, there are no federal limits on the length of a freight train, but as companies look to run longer locomotives, questions arise about whether they are at greater risk of derailment. To find out, a team analysed data on accidents to predict the chances of longer trains coming off the tracks. They showed that replacing two 50-car freight trains with one 100-car train raises the odds of derailment by 11%, with the chances increasing the longer a train gets. While derailments are uncommon, this could change as economic pressures lead the freight industry to experiment with ever-longer trains.
Scientific American: Longer and Longer Freight Trains Drive Up the Odds of Derailment
11:44 How historic wheat could give new traits to current crops
Genes from century-old wheat varieties could be used to breed useful traits into modern crops, helping them become more disease tolerant and reducing their need for fertiliser. Researchers sequenced the genomes of hundreds of historic varieties of wheat held in a seed collection from the 1920s and 30s, revealing a huge amount of genetic diversity unseen in modern crops. Plant breeding enabled the team to identify some of the areas of the plants’ genomes responsible for traits such as nutritional content and stress tolerance. It’s hoped that in the long term this knowledge could be used to improve modern varieties of wheat.
Science: ‘Gold mine’ of century-old wheat varieties could help breeders restore long lost traits
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