Meta launched Spark 1.1, a proprietary frontier model with pricing at $1.25 per million input tokens, marking a shift from the company's three-year commitment to open-weights AI. CEO Mark Zuckerberg announced the model publicly after a three-year absence from social media, while Meta simultaneously introduced the Spark Image model and began building Meta Compute, a cloud service to sell surplus AI infrastructure. Meta is now assembling a complete vertical stack including custom chips, datacenters, cloud services, and models, positioning itself to compete directly with frontier AI labs, though structural advantages favor the company in end-user applications rather than model development.
Meta rolled out a feature allowing AI image generation using Instagram users' likenesses with an opt-out default, triggering backlash that forced the company to disable it within three days. Multiple tech companies including Google, Dropbox, and LinkedIn have adopted similar opt-out defaults for AI features, placing the burden on users to disable unwanted functionality. Privacy experts argue that opt-in defaults, as required by the EU's GDPR, would better protect user privacy and reduce the need for constant manual adjustments.
Alta Daily, a fashion app launched in 2025, uses Meta's Segment Anything Model to digitize users' wardrobes and recommend outfit combinations from photos. The app has processed more than 20 million images using SAM, reducing costs compared to external segmentation APIs that charged several cents per image. Users can now photograph their clothes and receive personalized outfit recommendations displayed on their digital avatar while tracking daily wear to avoid repetition.
Meta published an updated Advanced AI Scaling Framework that broadens safety evaluations for its most capable AI models, including new assessments of chemical, biological, and cybersecurity risks plus loss-of-control scenarios. The framework requires models to meet safety standards before deployment across all Meta AI applications, with evaluations conducted both before and after safeguards are applied. Meta will now publish Safety & Preparedness Reports for each advanced model, detailing risk assessments, evaluation results, and deployment rationale to provide transparency about how protections scale with model capabilities.
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