AI for Science & AlphaFold Overview - AI systems can accelerate scientific discovery and enable new breakthroughs, particularly in healthcare [1] - AlphaFold, a system developed for protein structure prediction, has been cited approximately 35,000 times, demonstrating its impact on scientific research [1] - The speaker's guiding principle is to build tools that enable scientists to make discoveries [1] Protein Structure Prediction & Biological Significance - Proteins, numbering around 20,000 different types in humans, perform nearly every function in a cell [1] - Determining protein structure is exceptionally difficult, often requiring years of effort and significant resources, costing around $100,000 [2] - There are approximately 200,000 known protein structures, with roughly 12,000 new structures being added annually [2] - Protein sequence discovery is happening approximately 3,000 times faster than protein structure determination [2] AlphaFold Development & Key Factors - AlphaFold's success was driven by data (200,000 protein structures), compute (128 TPU V3 cores for two weeks), and, most importantly, research and innovative ideas [2] - Research and novel ideas were approximately 100 times more valuable than the data used in training AlphaFold [3] - Mid-scale ideas, rather than just scaling transformers, are crucial for building transformative AI systems [2][3] Impact & Applications of AlphaFold - AlphaFold has enabled scientists to make discoveries in areas like vaccine and drug development, and understanding how the body works [1] - The release of the AlphaFold database, containing approximately 200 million protein structure predictions, significantly increased its adoption and impact [3] - Researchers are using AlphaFold in unexpected ways, such as predicting protein interactions and engineering proteins for targeted drug delivery [5][6] - AlphaFold is estimated to have accelerated the field of structural biology by approximately 5-10% [9]

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Archaeological Findings - Recent research highlights the diversity of the ancient city of Dido [1]

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Cruise Tourism Industry Growth & Trends - Global travel reached 14 billion (140 亿) people last year, approximately equivalent to China's population [1] - Cruise tourism is a niche market but is rapidly expanding [1] - In 1980, cruise passengers were 14 million (140 万); by 2006, they reached 15 million (1500 万); in 2011, 20 million (2000 万); and last year, 30 million (3000 万) [1] - Cruise ship capacity has increased from 400 to over 5,000 people plus crew [1] - Cruise durations have decreased to 5-7 days, turning ships into "floating cities" [1] Impact on Local Communities - Research indicates that 40% of cruise tourists surveyed spent nothing in the local community [1] - The remaining 60% spent around €10-€20 on small items [1] - Limited time in port leads to rushed experiences and missed opportunities to engage with local culture and products [1] Recommendations for Sustainable Tourism - Reduce the number of mega-ships arriving in destinations [3] - Increase compassion for local communities [3] - Establish a quota and fund for the community [3] - Involve diverse stakeholders, including women, in tourism planning [3]

I think about the volatility involved with some of the stocks that that you own and I still think you sleep pretty well at night. Am I right. Yes.And and the reason is our research. Uh we're doing original research, white sheet of paper. How are these new technologies uh going to scale.And what's so interesting about this time in market history is many people equate it to the late 90s. it that couldn't be further from the truth. In the in the 20 years that ended in the late 90s, the seeds the seeds uh for w ...