Menik (RAI)

Today we're announcing LevelUp: a free, four-week training program that takes people with no prior experience and prepares them to work as fiber technicians on data center construction sites across the US. We built this program with CBRE because the fiber technician field, and the broader construction industry, is facing a nationwide shortage at a time when data center demand is higher than ever. How it works: 🔧 Classroom instruction, hands-on labs + team activities covering transferable technical skills 🎓 Graduates have the opportunity to work at Meta's US construction sites through our contractor network 🤝 Open to everyone from recent high school grads to mid-career professionals Since 2010, Meta's data center projects have supported 30,000+ skilled trade jobs during construction + 5,000+ permanent operational roles. LevelUp is about building the pipeline to keep that going. Learn more: go.meta.me/0eb3f6

Recently we had an amazing conversation with @chilltulpa and @verse_leyla about my new trilogy: Rêveries, Lost Memories from Latent Space, and Visions. This is summary, but I highly recommend you reading my pinned thread & attached interview. This series is my most personal and ambitious body of work, an exploration of how machines dream, remember, and distort cultural memory through neural networks. Instead of showing finished images, I wanted to reveal the process inside the machine, visualizing activations, heatmaps, and layers as the AI forms its own internal hallucinations. Lost Memories, for example, isn’t about recreating Renaissance art, it’s about how AI remembers it. How 16,000+ images merge in latent space, and how the network pays attention to specific patterns, shapes, and symbols as it constructs new realities. I trained custom models for each cluster of images. Each output isn’t just a picture, it’s a forensic trace of AI thinking. Where it “looks,” how it “moves,” what it forgets and exaggerates. And for the first time, I generated sound directly from the visual activity inside the model. If the blob is bigger, the tone is deeper. Fast movement creates sharper sounds. The result: you hear the network’s attention. This trilogy has been years in the making. Driven by my lifelong obsession with how memory works, how it breaks down, and how AI mirrors that fragility. We’ll show the full trilogy in immersive exhibitions across digital art festivals, gallery and museum shows. To all collectors, curators, and supporters: thank you for being part of this evolving memory experiment. The work is not about nostalgia, it’s about what comes next when machines start remembering for us. This is just the beginning. 🧠✨