Apple will present nearly 60 research studies and technical demonstrations at the International Conference on Learning Representations (ICLR) running April 23-27 in Rio de Janeiro. Demos include the SHARP model that reconstructs photorealistic 3D scenes from a single image in under one second, running on iPad Pro with M5 chip.
Twelve major technology companies—including Apple, Google, Microsoft, Amazon, and Nvidia—have launched Project Glasswing, a coordinated effort to identify and patch critical software vulnerabilities using Anthropic's unreleased Mythos Preview model. The initiative discovered thousands of zero-day vulnerabilities in mission-critical software, including a 27-year-old bug in OpenBSD and a 16-year-old vulnerability in widely-used video software that automated testing tools had missed.
Apple has secured full access to Google's Gemini models within its data centers and is using knowledge distillation to generate training data for smaller, on-device AI models. The approach allows Apple to create lightweight versions that replicate Gemini's reasoning patterns while running directly on Apple devices, requiring significantly less processing power.
Apple researchers developed RubiCap, a framework for training dense image captioning models that achieve state-of-the-art results at 2B, 3B, and 7B parameter scales. The 7B model outperforms models up to 72 billion parameters on multiple benchmarks including CapArena and CaptionQA, while the 3B variant matches larger 32B models, suggesting efficient dense captioning doesn't require massive scale.
Apple has asked Google to set up servers specifically for hosting a new Gemini-powered version of Siri that meets Apple's privacy requirements, according to The Information. This represents a deeper infrastructure partnership beyond the January announcement that Google's Gemini models would power upgraded Siri features.
Apple researchers have identified a fundamental limitation in speech-adapted large language models: they consistently underperform their text-based counterparts on language understanding tasks. The team terms this the 'text-speech understanding gap' and documents that speech-adapted LLMs lag behind both their original text versions and cascaded speech-to-text pipelines.
Apple Intelligence, which automatically summarizes notifications and messages on hundreds of millions of devices, systematically generates stereotyped and hallucinated content according to an independent AI Forensics investigation. The analysis of over 10,000 AI-generated summaries reveals bias baked into the feature that pushes problematic assumptions to users unprompted.