Peter Gray
@peteryugray.bsky.social
AI / ML comms person (formerly Meta, Linden Lab). Guitar in Butterfly Knives. Vespa enthusiast.
MLX + the Neural Accelerators in the M5 GPU = up to 4x faster LLM inference🚀 machinelearning.apple.com/research/exp...
Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU
Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the…
machinelearning.apple.com
November 21, 2025 at 10:06 PM
MLX + the Neural Accelerators in the M5 GPU = up to 4x faster LLM inference🚀 machinelearning.apple.com/research/exp...
Reposted by Peter Gray
Apple’s new language model can write long texts incredibly fast
Apple’s new language model can write long texts incredibly fast
In a new study, Apple researchers present a diffusion model that can write up to 128 times faster than its counterparts. Here’s how it works.
more…
9to5mac.com
October 14, 2025 at 2:29 AM
Apple’s new language model can write long texts incredibly fast
Reposted by Peter Gray
Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction
Apple researchers develop SimpleFold, a lightweight AI for protein folding prediction
Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI to predict the 3D structure of proteins, and it shows promise. Here are the details.
more…
9to5mac.com
September 24, 2025 at 9:44 PM
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...
The
A recent paper from Apple researchers,
machinelearning.apple.com
August 21, 2025 at 6:13 PM
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...
FastVLM: Efficient Vision Encoding for Vision Language Models
Vision Language Models (VLMs) enable visual understanding alongside textual inputs. They are typically built by passing visual tokens from a…
machinelearning.apple.com
July 23, 2025 at 6:35 PM
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...
machinelearning.apple.com/research/app...
Apple Intelligence Foundation Language Models Tech Report 2025
We introduce two multilingual, multimodal foundation language models that power Apple Intelligence features across Apple devices and…
machinelearning.apple.com
July 17, 2025 at 8:45 PM
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...
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...
July 11, 2025 at 5:12 PM
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...
Updates to Apple's On-Device and Server Foundation Language Models
With Apple Intelligence, we're integrating powerful generative AI right into the apps and experiences people use every day, all while…
machinelearning.apple.com
June 9, 2025 at 8:49 PM
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...
An LLM-Based Approach to Review Summarization on the App Store
Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have…
machinelearning.apple.com
April 24, 2025 at 5:19 PM
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...
Apple Machine Learning Research at ICLR 2025
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the world’s understanding of this…
machinelearning.apple.com
April 21, 2025 at 6:20 PM
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...
Controlling Language and Diffusion Models by Transporting Activations
Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these…
machinelearning.apple.com
April 10, 2025 at 5:28 PM
New Apple #ML Research Highlight: "Controlling Language and Diffusion Models by Transporting Activations” machinelearning.apple.com/research/tra...
Reposted by Peter Gray
Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.
Inside arXiv—the Most Transformative Platform in All of Science
Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.
wrd.cm
March 27, 2025 at 10:04 AM
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
Nature research paper: Mapping cells through time and space with moscot
https://go.nature.com/40pqpvw
https://go.nature.com/40pqpvw
Mapping cells through time and space with moscot - Nature
Moscot is an optimal transport approach that overcomes current limitations of similar methods to enable multimodal, scalable and consistent single-cell analyses of datasets across spatial and temporal dimensions.
go.nature.com
January 23, 2025 at 6:27 PM
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
Reposted by Peter Gray
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...
www.nature.com/articles/s41...
January 22, 2025 at 10:18 PM
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...
www.nature.com/articles/s41...
Aging hipster targeted marketing
December 29, 2024 at 9:03 PM
Aging hipster targeted marketing
Supermarket bot on patrol in suburban NJ
December 22, 2024 at 1:24 PM
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
Accelerating LLM Inference on NVIDIA GPUs with ReDrafter
Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and…
machinelearning.apple.com
December 18, 2024 at 10:15 PM
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
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
Apple Machine Learning Research at NeurIPS 2024
Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and…
machinelearning.apple.com
December 7, 2024 at 2:03 AM
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
Reposted by Peter Gray
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.
November 27, 2024 at 2:47 AM
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...
November 22, 2024 at 10:26 PM
New from Apple ML researchers: AIMv2 - scalable and open autoregressive vision encoders: machinelearning.apple.com/research/mul...
Reposted by Peter Gray
The National Weather Service is urging the public to take precautions during intense flooding.
📝: www.sfgate.com/weather/arti...
📝: www.sfgate.com/weather/arti...
November 22, 2024 at 9:43 PM
The National Weather Service is urging the public to take precautions during intense flooding.
📝: www.sfgate.com/weather/arti...
📝: www.sfgate.com/weather/arti...
Reposted by Peter Gray
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/...
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/...
November 22, 2024 at 8:32 AM
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/...
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 👊
Thanks to Meta's Yann LeCun, Joelle Pineau, Nick Clegg and Ahmad Al-Dahle for representing 👊
🚨 New @fortunemag story alert! 🚨 I’ve spent 6 wks digging into how Mark Zuckerberg is betting Meta’s future on open-source AI with the Llama platform.
fortune.com/2024/11/19/z...
fortune.com/2024/11/19/z...
November 20, 2024 at 6:01 PM
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