Emerald AI Raises $25 Million to Align Data Center Energy Use with Grid Capacity - ESG Today
Hello, little superstar! ✨
Imagine your favorite toys, like robots and talking animals, live inside big, special computer houses called "data centers." These houses need lots and lots of electricity to make your toys work! ⚡
Sometimes, there's not enough electricity for everyone, like when too many friends want to play on the same swing.
Emerald AI is like a smart helper for these computer houses. They got a big pile of money (like $25 million!) to teach the computer houses how to be smart with electricity. They help them use less power when there's not much, and more when there's plenty.
It's like making sure everyone gets a turn on the swing, and no one runs out of energy! Yay for smart computers! 🤖💡
<a href="https://news.google.com/rss/articles/CBMizAJBVV95cUxOOEpoSHluc1paNDYxd3JWSE1JcHlaTXI5UmdMS0xlQXQxUjQzSUltSWxOLTRXSzI4ZnZmR2R5dG9vRlhvcVFRcGRwNl9FQTN0NlBHRlZXaGdjdEt2UEh1YW80OGdSQlRtYlAxaUNaQ29DTnJZUmp0VjdpVkRMZm5nTzJVdWFLakE4Q2xURlpFX3VTUXNSTC0tNmVxa0NKaVRER25vOHRuZkM1M2I0aVZ6eUZIT1BxRG8zVUZMQVRIQXZaSlZ0SEg3cXAzV3VPWTNaNUd4TERrTE8xQXBjMjJHSnR6ZEFzOVVwV3hpYUFHSlhJRlQwX0hkLWlmRHBpZXI5N21icUlOUDNxbFJsTXNEQjh1akR1WkVnSjd1eHhaY1ptNnMzbkZia1BCdE0tOVJhb0FOcHUyVlJ3YlU4aEtnY3lWUG85UmhFeHFHdw?oc=5" target="_blank">Emerald AI Raises $25 Million to Align Data Center Energy Use with Grid Capacity</a> <font color="#6f6f6f">ESG Today</font>
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We aren’t even close to AGI
Supposedly we’ve reached AGI according to Jensen Huang and Marc Andreessen. What a load of shit. I tried to get Claude code with Opus 4.6 max plan to play Elden Ring. Couldn’t even get past the first room. It made it past the character creator, but couldn’t leave the original chapel. If it can’t play a game that millions have beat, if it can’t even get past the first room, how are we even close to Artificial GENERAL Intelligence? I understand that this isn’t in its training data but that’s the entire point. Artificial general intelligence is supposed to be able to reason and think outside of its training data. submitted by /u/CrimsonShikabane [link] [comments]
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