Clinton Jones (克林顿 琼斯)

~ 100k Bee Cheng Hiang customers had their email addresses exposed after an employee used an AI tool to generate code for a mass marketing email - reportedly Singapore's first AI-related data breach notified to the Personal Data Protection Commission (PDPC) The incident took place on April 25. Bee Cheng Hiang notified the PDPC two days later. https://lnkd.in/e4Q2EuEU

Hello Network! MulberryGroup.io are looking for a Senior Solutions Architect. A good fit is someone who is independent of technology, AI-centric, a strong communicator, likes working close to the business, is comfortable dropping into the detail, thrives in complexity and ambiguity, and is outcome-driven. Experience from retail, energy, large transformation and enterprise ecosystems will help. What matters most is a commercial technology-agnostic mindset and the ability to see architecture through the lens of the broader ecosystem, not only through individual platforms, products or teams. If this sounds like a good fit for you, reach out! Dimitrios Bairaktaris PhD Don Puckridge Don Elliott Jonathan Gardiner Adam Smith Yulia Chaplina Alexander Håkansson Andrea Jallong

𝗟𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗲𝗿𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗙𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽 If you’re in STEM and exploring a transition into AI research, please consider joining us to push the frontier of intelligence systems! 𝗙𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽: https://lnkd.in/gbfqmS6n 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: https://lnkd.in/gWukqAF3 Applications are rolling, apply by 𝟵/𝟯𝟬 for priority consideration for the November 2026 or January 2027 cohorts. Fellows will join through our R&D program team and work with researchers, engineers, and technical executives to deliver public research across the entire stack: search, training, inference, infra, security, orchestration, harness, eval, economic impact, and more. We have abundant data, compute, and most importantly, hard problems that could benefit from diverse perspectives. Bring yours. 𝗢𝘂𝗿 𝘄𝗼𝗿𝗸: https://lnkd.in/gtSQhqnW 𝗦𝗹𝗶𝗱𝗲𝘀 𝗳𝗼𝗿 𝗮𝗻 𝗥&𝗗 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄: https://lnkd.in/gQPZbVGx 𝗧𝗵𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 - Background: Early-career STEM talent. ML experience helps, but not required. - Commitment: Three months, full-time, in our San Francisco, Palo Alto, or NYC office. - Tracks: Predoctoral and postdoctoral. - Comps: $15K-18K+ monthly stipend. - What’s next: Opportunities to extend or convert to a full-time role. The goal is to develop our fellows so that by the end of the program they can - Develop a working understanding of the fundamentals across the full AI stack. - Deliver high-quality scientific artifacts that contribute to the broad research community. - Drive small-scale research or engineering projects independently. 𝗪𝗵𝗮𝘁 𝘄𝗲’𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 Strong intelligence systems, whether natural or artificial, share a few core components. - System prompt: Your operating principles. Motivated to pursue important questions and rigorous answers. Take initiative without waiting for detailed instructions. - Context: Genuine excitement about AI and a habit of keeping up on recent developments. - Pre-training: Strong technical foundations. The core knowledge and skills stay the same no matter where you apply them. - Post-training: Refine that foundation and adapt your base to new problems. - Prefill: Digest new topics quickly and build a clear understanding. - Decode: Turn that understanding into output. Use clear arguments and precise writing to make complex ideas easy to grasp. Good research needs good communication. -https://lnkd.in/gbfqmS6n 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: https://lnkd.in/gWukqAF3 Applications are rolling, apply by 𝟵/𝟯𝟬 for priority consideration for the November 2026 or January 2027 cohorts. Fellows will join through our R&D program team and work with researchers, engineers, and technical executives to deliver public research across the entire stack: search, training, inference, infra, security, orchestration, harness, eval, economic impact, and more. We have abundant data, compute, and most importantly, hard problems that could benefit from diverse perspectives. Bring yours. 𝗢𝘂𝗿 𝘄𝗼𝗿𝗸: https://lnkd.in/gtSQhqnW 𝗦𝗹𝗶𝗱𝗲𝘀 𝗳𝗼𝗿 𝗮𝗻 𝗥&𝗗 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄: https://lnkd.in/gQPZbVGx 𝗧𝗵𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺 - Background: Early-career STEM talent. ML experience helps, but not required. - Commitment: Three months, full-time, in our San Francisco, Palo Alto, or NYC office. - Tracks: Predoctoral and postdoctoral. - Comps: $15K-18K+ monthly stipend. - What’s next: Opportunities to extend or convert to a full-time role. The goal is to develop our fellows so that by the end of the program they can - Develop a working understanding of the fundamentals across the full AI stack. - Deliver high-quality scientific artifacts that contribute to the broad research community. - Drive small-scale research or engineering projects independently. 𝗪𝗵𝗮𝘁 𝘄𝗲’𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 Strong intelligence systems, whether natural or artificial, share a few core components. - System prompt: Your operating principles. Motivated to pursue important questions and rigorous answers. Take initiative without waiting for detailed instructions. - Context: Genuine excitement about AI and a habit of keeping up on recent developments. - Pre-training: Strong technical foundations. The core knowledge and skills stay the same no matter where you apply them. - Post-training: Refine that foundation and adapt your base to new problems. - Prefill: Digest new topics quickly and build a clear understanding. - Decode: Turn that understanding into output. Use clear arguments and precise writing to make complex ideas easy to grasp. Good research needs good communication. - Tool use: Take an AI-native approach to your work. Use AI tools fluently and responsibly. - Eval: Challenge your own work and others’. Test assumptions, measure carefully, catch mistakes, ask tough questions, and follow the evidence. Learn more about the program: https://lnkd.in/gbfqmS6n, our work: https://lnkd.in/gtSQhqnW, and apply here: https://lnkd.in/gWukqAF3

We are looking for a CRM & Loyalty Executive to join our amazing team at NET-A-PORTER. Please share the link below if you know anyone. 🙏🏻