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Samuel Watts
Product at Transak
Samuel Watts is a highly accomplished individual with a strong educational background in Mathematics and Mathematical Finance.
He pursued his studies at prestigious institutions, obtaining a Master of Mathematics with First Class Honours from the University of Warwick and a Master of Science in Mathematical Finance from the University of Oxford.
Samuel has gained valuable professional experience through various roles in top organizations. He is currently contributing to the Product team at Transak.
Prior to his current position, Samuel held a key role as a Product Manager focusing on Data at Chainalysis Inc., showcasing his expertise in product management and data analysis.
His entrepreneurial spirit is evident as he co-founded and led CodeREG as the CEO. Additionally, Samuel has displayed his talent in consulting as a Senior Consultant at d-fine GmbH.
Furthermore, he has contributed to nurturing new business ventures as an Entrepreneur In Residence at Entrepreneur First and shared his knowledge as an English Language Teacher at the British Council.
Samuel's diverse experiences have equipped him with a well-rounded skill set and a wealth of knowledge across various industries.
Highlights
🚀🚀 We've raised a $20m Series A!!! 🚀🚀 We've already shown through Gandalf (https://gandalf.lakera.ai/) that anyone can hack GenAI, and through Lakera Guard that we can stop this. Now with this funding we can help more enterprises and startups in securing their GenAI applications, and build the infrastructure to secure the AI-powered agent future.
The round was led by Atomico and was joined by two of our customers, Dropbox and Citi, as a fantastic sign of their confidence in us.
Read more here: 👉 Our blog: https://lnkd.in/eu8UyCmS 👉 Fortune: https://lnkd.in/e3Jzx3in 👉 TechCrunch: https://lnkd.in/eNpkTJy3 👉 Sifted: https://lnkd.in/ek5hdJzG #SeriesA #AISecurity #Lakera #GenAI #LLMs
The UK's AI safety institute has released an open source evaluation tool today called Inspect. "Inspect can be used to evaluate models in a range of areas, including their core knowledge, ability to reason, and autonomous capabilities".
This could be super helpful for AI safety. Everyone agrees that we need better data and understanding of risks from AI rather than arguing over pure hypotheticals. I literally told someone this week that the AISI should be building something like this.
