No hype, no breathless marketing claims. Just clear, high-signal editorial breakdowns of what's actually changing in machine intelligence.
AI models have moved beyond passive next-token prediction to autonomous planning, browser control, and terminal execution loops.
Google DeepMind's flagship architecture achieves breakthrough test-time compute efficiency and near-perfect needle-in-a-haystack retrieval.
Everything announced: programmable test-time thinking budgets, voice-to-voice streaming websockets, and browser agent runtimes.
Distillation breakthroughs mean anyone can run 70B parameter models matching proprietary intelligence on consumer workstation hardware.