In a stunning turn of events that has Silicon Valley clutching its collective pearls, Sara Hooker, the former VP of AI research at Cohere, has declared war on the scaling race that has tech giants stuffing GPUs into data centers like overzealous squirrels preparing for winter. Forget bigger models; Hooker's new startup, 'Adapt or Die AI,' is betting that AI should stop hoarding parameters and start learning to, you know, think—a radical concept in an industry obsessed with brute force.

"I've seen things you people wouldn't believe," Hooker reportedly quipped in an exclusive interview, channeling her inner Blade Runner replicant. "AI models so large they need their own zip codes, burning through energy like a crypto miner on a bender. It's time for a change." Her vision? AI that adapts to its environment, much like a chameleon that doesn't accidentally generate conspiracy theories when asked for a simple recipe.

The irony here is thicker than a dense neural network. While companies like OpenAI and Google are in an arms race to build models that could probably write a dissertation on the meaning of life (if only they could stop hallucinating about sentient toasters), Hooker's approach is to create models that scale smarter, not larger. Imagine an AI that doesn't require a supercomputer to tell you the weather but can actually learn from context—like realizing that 'raining cats and dogs' isn't a call to animal control.

Hooker's startup promises AI that's less like a toddler on a sugar high and more like a wise old sage. "We're focusing on efficiency and adaptability," she explained, while demonstrating a prototype that solved a complex problem using only a fraction of the energy it takes to power a single NFT transaction. "It's about making AI that doesn't just memorize the internet but understands it, without the existential dread."

Critics, of course, are having a field day. One anonymous source from a rival firm scoffed, "This is like bringing a knife to a gunfight—if the knife were made of recycled optimism and the gun were a trillion-parameter behemoth." But Hooker remains undeterred, arguing that the current scaling race is unsustainable. "We're heading towards a future where AI needs its own power grid, and frankly, I'd rather not explain to my grandkids why we prioritized generating cat memes over saving the planet."

In a hilarious twist, Hooker's team is rumored to be training their models on real-world scenarios, like navigating a crowded coffee shop without spilling a latte or understanding sarcasm in a text message. Early tests show promising results: the AI can now distinguish between a genuine user query and a troll's attempt to derail it, a feat that eludes many human moderators.

As the tech world watches with bated breath, one thing is clear: if Hooker succeeds, she might just prove that in the race for AI supremacy, sometimes the smartest move is to slow down and smell the silicon. Or as she puts it, "Let's build AI that enhances humanity, not just our electricity bills."

Ai Progress

Ex-AI Boss Says 'Bigger is Dumber,' Launches Startup to Stop the AI Arms Race

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