PLEASED TO SAY IS THE CEO OF NOVO NORDISK, MIKE DOUSTDAR. GREAT TO HAVE YOU WITH US. JUST TO SET THE SCENE WHEN IT COMES TO THE U.S. MARKET, YOU HAVE BEEN LOSING SHERRY TO ELI LILLY FOR A COUPLE YEARS NOW. WITH THIS APPROVAL, YOU HAVE AN IMPORTANT FIRST MOVER ADVANTAGE WHEN IT COMES TO ORAL GLP-1'S.GIVEN THAT YOU EXPECT TO SELL THE PILL VERSION OF WEGOVY IN JANUARY AND ELI LILLY IS NOT DUE UNTIL MARCH, HOW DO YOU PLAN TO MAKE THE MOST OF THIS HEAD START. MIKE: THANK YOU FOR HAVING ME. AS THEY SAY, CHRISTMAS ...

A family trust linked to South African tycoon Koos Bekker sold 2.5 billion rand ($150 million) of Naspers shares to finance the construction of hotels in South Africa, the UK and Italy https://t.co/qzJJRjFaUj ...

Quote of the day. #qotd https://t.co/FijBHYAdUb ...

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NEW: Franklin Templeton’s spot $XRP ETF (Ticker: XRPZ) has surpassed 100M $XRP in holdings for the first time ...

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The Year in Ethereum 2025: Institutions Embrace ETH as the 'Ivory Tower' Crumbles► https://t.co/mLrCnNtasg https://t.co/mLrCnNtasg ...

AI Coding & Productivity - AI is considered a significant technological wave with the potential to create substantial economic impact and productivity gains [3] - The development of effective agentic solutions, particularly in software and coding, has become visible, with widespread adoption of AI assistance in coding since the introduction of GitHub Copilot [4][5] - The industry anticipates that the paradigm of AI assistance will extend to other areas of software development and various industries beyond coding [5] Challenges & Solutions - Generating more AI code without addressing subsequent steps can be a liability, increasing incidents and making code maintenance harder [12][13] - The industry believes the solution lies in applying AI to monitor, maintain, and troubleshoot AI-generated code to improve overall velocity [14][15] - Resolve AI focuses on building AI solutions that prioritize trust for software engineers, allowing AI to investigate and propose solutions, with human oversight before full automation [17][18] Future of AI in Software Engineering - The industry predicts that within a year, AI will become the primary driver of software, with humans overseeing at a higher level, and within two to three years, AI will make most decisions [20] - The industry emphasizes the importance of deep agentic applications that understand the domain and customer context, requiring innovation in models to handle more data and longer task horizons [27] - Multi-agent systems with various layers of guardrails, checks, and validations are crucial for reliable AI performance, with an orchestrator agent managing other agents [31][32][33] AI Model Specialization - The most capable and expensive AI models are typically used at the top level for reasoning and planning, while specialized or open-source models can handle underlying tasks [34][36] - The industry anticipates that domain-specific large models will emerge for areas like software and customer service due to their significant economic impact [36] Adoption & Cultural Impact - While engineers are early adopters of AI, there is some resistance to change and concerns about job security [38][39] - The industry believes the goal is to produce technology faster, benefiting the world, and engineers will operate at a higher level of abstraction, with AI handling low-level tasks [40][44]