We’re back. The AI race has been dominated by one metric: scale. We believe the next breakthrough won't come from bigger models. It will come from models that adapt, learn, and evolve continuously. The future of intelligence is adaptive.

Tested @adaptionlabs AutoScientist today by fine-tuning a 31B model on a tiny dataset for HBR-style compliance pitches. The base model actually won 54% to 46%. But digging into the telemetry, this "failure" is a great learning moment. 1/3

How to position for @adaptionlabs ▫️ Funding: $50m ▫️Backers: Emergence Capital Partners (lead investor), Mozilla Ventures, Fifty Years, Threshold Ventures, Alpha Intelligence Capital, E14 Fund, Neo. Adaption Labs is building AI systems that can adapt and learn during use instead of staying fixed after initial training. Their work focuses on allowing models to adjust to new data and changing needs without repeated, heavy retraining. Their core focus areas are: ▫️ Adaptive Data ▫️ Adaptive Intelligence ▫️ Adaptive Interfaces There is an open waitlist. 👇 uc9yb.share.hsforms.com/2jNQ… It’s an early project . Keep close tabs on them.🫵🏾

Adaption Labs: Building extremely adaptive systems that evolves with our world through adaptability @adaptionlabs raised $50 million to build adaptive AI system which focuses on: "Everything intelligent adapts, so should AI" Early access program to Adaptive Data went live where community of builders, researchers and operators shapes the adaption from day 1 Adaptive data is a new way to optimize, evolve and command large-scale data in real time: - Your data becomes a living, shapeable asset - Expand into new markets by building on what you already have - Reduce the cost and effort of building high-quality datasets Are you adaptive too in the era of AI? Let me know in comments 👇