PrismML has compressed a 27-billion-parameter AI model to under 4 GB, small enough to run on an iPhone. In the company's own benchmarks, the smallest version keeps 90 percent of the original performance, with math and coding scores barely affected. Apple is reportedly already testing the compression technology, which could help it close the gap in on-device AI.<br /> The article Bonsai 27B is a full open reasoning model that fits on an iPhone appeared first on The Decoder. [...]
The biggest AI model release of the past few days, at least among the developers and AI power users on social media, wasn't a frontier cloud model from OpenAI, Anthropic or Google.It was a 27-bil [...]
Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while co [...]
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on clou [...]
Perplexity is launching Portable Computer today, a version of its agentic "Computer" platform that runs entirely on hardware users already own — starting with Nvidia's DGX Spark deskt [...]
Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning.The framewo [...]
Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has e [...]