Is it Google's responsibility to ensure employees eat well in office cafes? Food director Michiel Bakker says "we're not the food police" but can be "architects" of healthy choices on menus at #WSJFutureFest# #FutureWork#

This new Nvidia paper is huge for model routing and the future of inference: re-using the KV cache across different LLMs. One of the greatest challenge in model routing during long-horizon agent settings is that the cache does not transfer across different models. As a result, naively switching models without KV-cache-awareness will result in wasting more money. Conversely, transferring the KV cache across models significantly expands the total amount of savings that can be achieved. This paper is a great step in that direction. Congrats to Taekyung Heo, Rasoul Shafipour, Ritchie Zhao, Maximilian Golub, @MMKamani7, @Ritika_Borkar, Makesh Tarun Chandran, Pantea Zardoshti, and Bita Darvish Rouhani. Two questions: 1. Do you plan to investigate cross-family transfer? I saw this in the future work section but curious to learn more about your intuitions on the opportunities and challenges here. 2. What was the reason for focusing mostly on small to large model transfers and not large to small?

We shouldn't be chained to the past—our past shouldn't dictate the quality of our future work. Instead, all our future innovations and right decisions should actually help resolve past issues as well. #notetomyself#

I had an incredible opportunity last week. Great scope, right up my alley. For a large enterprise based here in Australia. Ultimately I had to turn it down. Why? Cost. The available budget wasn't enough for me to believe that I could deliver the quality that the customer would expect. I had two options. Undercook the outcome or take a hit and hope for future work. Neither seemed viable to me. I don't want to deliver poor outcomes and I want a sustainable studio so ultimately I had to say no. Right move?

What if your newsletters could talk to each other? "Hey — 3 different sources mentioned this company today. Might be worth your attention." That's the intelligence built into Momentum AI. We're live. Join the waitlist. #AI# #Productivity# #FutureOfWork# #MomentumAI#

AI is transforming productivity—but productivity is only part of the equation. Speaking at AI4 2026, @drfeifei highlighted a critical distinction: while AI tools can make people and businesses more productive, those gains do not automatically translate into shared prosperity. As AI continues to reshape jobs—creating new opportunities while changing or disrupting others—she argued that the conversation needs to go beyond how much more we can produce. It also needs to consider how the economic benefits of AI can be shared more broadly. Productivity ≠ Shared Prosperity. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #FeiFeiLi# #FutureOfAI# #FutureOfWork# #AIProductivity# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

AI is powerful—but access to AI alone won't eliminate the skills gap. At AI4 2026, @AndrewYNg Ng argued that even as AI capabilities advance, there will continue to be meaningful differences between people who know how to use these tools effectively and those who don't. Rather than framing AI primarily as a threat, he offered a more optimistic message—especially for young people: learn the tools, build the skills, and use AI to expand what you can accomplish. The opportunity isn't simply AI replacing human capability. It's what people can achieve when they learn to work with AI. AI Won't Eliminate the Skills Gap. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #AndrewNg# #AISkills# #FutureOfWork# #FutureOfAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

Welcome to Qwen Live – Episode 1: Agent-First, When Your Next User Isn't Human. 📅 June 30, 2026 | 10:00 AM (UTC+8) 🔔Set Reminder Now: As AI evolves at lightning speed, your next user might not be human—it could be an AI agent. In this debut episode, we are joined by Linlin Kong, Head of Qwen Cloud, alongside Qwen Cloud Product Managers Pan Gu and Xijue. Together, they will explore building cloud platform for agent from scratch, redefine developer experiences for non-human users, and uncover the new paradigms of large-scale human-agent collaboration. Ready to build for agents? Get started with Qwen Cloud Platform: #Qwen# #QwenLive# #AIagents# #AICloud# #DeveloperExperience# #FutureOfWork#