Resilience has a team and it’s the @RefugeeOlympicTeam. Watch as they take the biggest sporting stage and show the world that it’s not about where you’re from. It’s about what you do. Watch the film 🤩 #wkams# #newwork# #nike#

In summer of 2023, a t-shirt disrupted @HuisMarseille's museum shop, and the ripple effect of its appearance can still be felt. Read the full story and @wkamsterdam’s involvement in it here >>

Imagine being a striker who has never touched a ball or a gymnast who has never taken a leap. Potential is a terrible thing to waste. So, what if you can? There's only one way to find out. Read more 💫 #wkams# #newwork# #nike# #JustDoIt#

A survey paper on World Action Models. WAMs are moving robotics from reacting to the present toward predicting consequences before acting. A model only counts as a WAM when its predicted future directly helps produce, score, verify, or train the action. The trend is “dream less, act more”: full video generation is often too slow and memory-heavy for real control loops. Many newer systems skip rendered video and use latent features, geometry, affordance maps, or motion representations instead. Photorealistic futures are not necessarily the most useful; flow, masks, tactile signals, and physically grounded latents may constrain action better. There is no single winning architecture because every design trades predictive richness against latency, memory, action-label cost, and physical reliability. The biggest open question is whether robots can spend heavy predictive compute only when uncertainty, contact, or irreversible error makes it necessary. – arxiv. org/abs/2606.20781 Title: "World Action Models: A Survey"

"This is somewhat of a near-term problem when you think about the trajectory of gross margins," says Bank of America's Wamsi Mohan following Apple earnings.