me, emotionally writing an essay on the use of force by federal agents: ok but what if i packaged this in the most insane way possible www.theverge.com/policy/86857...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, understanding, and multi-turn web searches with cropped images.

A great primer - and ICYMI: a *single* parameter (among billions) - a "super weight" can determine if an LLM's output will be coherent or nonsense machinelearning.apple.com/research/the...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model that can turn 2D images into 3D scenes in a second.

Heading to #NeurIPS2025 next week? Check out this post for some highlights of the work Apple researchers will present: machinelearning.apple.com/research/neu... - across topics including... 1/7

MLX + the Neural Accelerators in the M5 GPU = up to 4x faster LLM inference🚀 machinelearning.apple.com/research/exp...

Apple’s new language model can write long texts incredibly fast

Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction

New Apple #ML Research Highlight: The "Super Weight:" How Even a Single Parameter can Determine an #LLM's Behavior machinelearning.apple.com/research/the...

New Apple #ML Research Highlight: "FastVLM: Efficient Vision Encoding for Vision Language Models" machinelearning.apple.com/research/fas...

New paper: 'Apple Intelligence Foundation Language Models Tech Report 2025' provides technical details for two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and services: machinelearning.apple.com/research/app...

Next week at #ICML2025, Apple researchers will present many new papers across a range of topics in #AI & #ML - check out this post for some highlights: machinelearning.apple.com/research/icm...

New post: "Updates to Apple's On-Device and Server Foundation Language Models" - details the architectures, training data and recipes, inference optimization techniques, and evaluation results compared to comparable models: machinelearning.apple.com/research/app...

New Apple #ML Research Highlight: "An LLM-Based Approach to Review Summarization on the App Store" - details the multi-step #LLM workflow for generating high quality summaries from diverse crowdsourced reviews in a dynamic environment: machinelearning.apple.com/research/app...

New post: "Apple Machine Learning Research at #ICLR 2025" - highlighting a selection of the many Apple #ML research papers to be presented at @iclr-conf.bsky.social this week: machinelearning.apple.com/research/icl...

New Apple #ML Research Highlight: "Controlling Language and Diffusion Models by Transporting Activations” machinelearning.apple.com/research/tra...

Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

Very cool work from an international team of researchers including @www.helmholtz-munich.de and Apple: applying optimal transport to give scientists a new ability to observe millions of cells simultaneously, as they develop across time and in space

Today is a great day for optimal transport 🎉! Lots of gratitude 🙏 for all folks who contributed to ott-jax.readthedocs.io and pushed for the MOSCOT (now @ nature!) paper, from visionaries @dominik1klein.bsky.social, G. Palla, Z. Piran to the magician, Michal Klein! ❤️ www.nature.com/articles/s41...

Aging hipster targeted marketing

Supermarket bot on patrol in suburban NJ

New #Apple Machine Learning research highlight: “Accelerating LLM Inference on #NVIDIA GPUs with ReDrafter” - a story of impactful, production-relevant #ML research: machinelearning.apple.com/research/red... 1/5

Apple Machine Learning Research at NeurIPS 2024 machinelearning.apple.com/research/neu...

New post: Apple Machine Learning Research at #NeurIPS2024 - highlighting a handful of the many papers #Apple’s #ML researchers will present next week, across a variety of topics: machinelearning.apple.com/research/neu... 1/3

The multimodality space is now evolving in a much better way. The focus has shifted to finding the bottlenecks and fixing things on the fundamental level. This paper from **Apple** introduces **AIMv2**, and effort is in a similar direction, except that they only do it for the autoregressive models.

New from Apple ML researchers: AIMv2 - scalable and open autoregressive vision encoders: machinelearning.apple.com/research/mul...

The National Weather Service is urging the public to take precautions during intense flooding. 📝: www.sfgate.com/weather/arti...

𝗗𝗼𝗲𝘀 𝗮𝘂𝘁𝗼𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲 𝗽𝗿𝗲-𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗼𝗿𝗸 𝗳𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻? 🤔 Delighted to share AIMv2, a family of strong, scalable, and open vision encoders that excel at multimodal understanding, recognition, and grounding 🧵 paper: arxiv.org/abs/2411.14402 code: github.com/apple/ml-aim HF: huggingface.co/collections/...

Really good read on the background of Llama & Meta's approach. Surprised that Clegg's response to criticism of "open source" nomenclature feels so clunky though - would've thought he'd be armed with a stronger analogy

I really, really, REALLY had hoped to speak to Zuckerberg directly but I think he had a jam-packed rapping schedule 🎙️🎵 Thanks to Meta's Yann LeCun, Joelle Pineau, Nick Clegg and Ahmad Al-Dahle for representing 👊

Tough night on the home front: 6 year old requested a Red Hot Chili Peppers song. Then my wife joked about her entering a grunge phase.