Generalist AI's new GEN-1 robot model is achieving a 99% success rate on physical tasks like folding clothes and packaging items, up from 64%, while operating three times faster and requiring only one hour of training data per task on any hardware.
Meta is releasing its first AI models from its new superintelligence team, led by former Scale.AI CEO Alexandr Wang, adopting a hybrid strategy that blends proprietary and open-source licensing as it pivots toward consumers rather than competing directly with OpenAI and Anthropic in the enterprise market.
Nvidia is reframing AI as foundational infrastructure — like electricity or the internet — as industry leaders declare the world is witnessing the largest infrastructure buildout in human history, with personalized AI models potentially surpassing the transformative impact of any technology before it.
Meta is set to release hybrid AI models under Alexandr Wang, prioritizing broad consumer distribution across WhatsApp, Facebook, and Instagram over top benchmark performance, while offering open-source options to democratize AI access as an alternative to enterprise-focused rivals like OpenAI and Anthropic.
Nvidia launches Nemotron 3 Super, a fully open-source 120-billion-parameter AI reasoning model, strategically designed to expand the AI ecosystem, reduce dependence on proprietary AI customers, and ultimately drive greater demand for its GPUs, which already power 90% of generative AI workloads.
Google launches two new Gemini API tiers — Flex and Priority — giving developers a powerful choice between 50% cost savings for background tasks or maximum reliability for critical real-time applications, all through a single unified interface.
Microsoft AI CEO Mustafa Suleyman is shifting his full focus to pursuing superintelligence, redefining it in business terms as delivering product value, as Microsoft restructures its enterprise and consumer teams under the Copilot banner following a renegotiated OpenAI contract.
Microsoft launches three in-house AI models — MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 — claiming best-in-class performance across speech and image generation while undercutting rivals like OpenAI and Google on price, built by teams of fewer than 10 engineers using half the GPUs of competitors.
Google launches Gemma 4, its most powerful open-source AI model family yet, offering four sizes that run on everything from Android phones to IoT devices, with top models ranking in the global top 10 for open AI, supporting 140 languages, and available free under an Apache 2.0 license.
Microsoft launches three powerful AI models — MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 — undercutting Google and OpenAI on price while reaffirming its multi-billion dollar OpenAI partnership.