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The next frontier isn't bigger models—it's collective intelligence systems where agents evolve in groups, share experiences, and dynamically adapt their computation.
ReadFrom left-to-right autoregression to parallel latent reasoning—a fundamental architectural shift is reshaping how AI systems think, plan, and solve problems.
ReadThe most exciting AI breakthroughs aren't coming from bigger models—they're coming from smarter ones that do more with less.
ReadA new wave of research shows AI systems optimizing their own prompts, managing compute resources, and refining outputs without human supervision. We're witnessing the transition from tool to agent.
ReadThe field is abandoning the 'bigger is better' mantra for something far more powerful: reasoning-first architectures that do more with less. Here's why capability-per-watt is becoming the only metric that matters.
ReadThe shift from prompt engineering to agent contracts represents the most significant architectural change since transformers. Here's why the infrastructure layer is finally catching up to the model capabilities.
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