You know that feeling when you’re scrolling through your feeds and something catches your eye that seems almost too good to be true? Well, that happened to me yesterday when I stumbled across discussions about Google’s latest Gemma model release. The initial excitement was palpable - people were practically salivating over what they thought was a 270B parameter model. The reality? A humble 270M parameters.

The collective “oh” that rippled through the AI community was almost audible. One moment everyone’s planning how they’ll squeeze a 270 billion parameter behemoth onto their rigs, the next they’re sheepishly admitting they misread the specs. It’s like showing up to what you thought was going to be a massive warehouse sale only to find it’s actually a small garage sale in someone’s driveway.