SK HYNIX’S SOLIDIGM COULD BECOME THE BIGGEST U.S. CHIP IPO EVER Solidigm is weighing a 2027 U.S. listing that could raise about $15B at a valuation of up to $150B. That would put it far above Arm’s roughly $54B valuation at its 2023 debut and Cerebras’s roughly $56B valuation in its 2026 IPO. Solidigm was built from Intel’s former NAND and SSD business, which SK Hynix acquired for about $9B, and now supplies enterprise storage used across cloud and AI data centers. The company has already started meeting with banks for potential IPO roles. Source: Reuters

Skild AI says it trained a robot to play football by letting it play against itself for 140 years inside a simulation. ⚽️ The clip is labeled autonomous, 1x. No pilot, no speed-up. Two things are doing the work here. First, time compression which is thousands of robot instances running in parallel physics sims, so what would be a century & a half of practice takes days of wall-clock training. Skild builds these on NVIDIA's Isaac Lab & Omniverse & describes gaining millennia of experience in days. Second is self-play. Nobody scripted a dribble or a shot. The system plays opponents that are copies of itself, & because the opponent improves whenever it does, the difficulty curve is generated automatically - never so easy the policy gets lazy, never so hard it learns nothing. It's the same mechanism that produced superhuman Go. The hard part is the last step. A policy trained in simulated physics usually falls apart in a real body, where friction, motor lag & a slightly wrong mass estimate break everything. Getting it to transfer is the actual result & Skild has shown related generalization before with its models recovering from a stuck wheel in seconds, or walking with a broken leg after a few attempts. DeepMind did knee-height soccer robots this way in 2024. This is the full-size version.

Skild AI says S1 plays soccer against humans and robots after 140+ years of simulated self-play. “This method scales, and we will scale it,” says CEO Deepak Pathak. How it works—and where human guidance comes in:

Sky duo vs Toronto: Taylor: Jaquez: 18 PTS 18 PTS 6 REB 8-10 FG They've scored 15+ in the same game three times, the most by any rookie duo in franchise history.