_miladm_'s profile picture. PyTorch @Meta Superintelligence Labs - Ex: @Google, @Stanford, @Nvidia, @Apple

Milad Mohammadi

@_miladm_

PyTorch @Meta Superintelligence Labs - Ex: @Google, @Stanford, @Nvidia, @Apple

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It’s an honor to have received the @QEPrize along with my fellow laureates! But it’s also a responsibility. AI’s impact to humanity is in the hands of all of us.

Today, The King presented The Queen Elizabeth Prize for Engineering at St James's Palace, celebrating the innovations which are transforming our world.   🧠 This year’s prize honours seven pioneers whose work has shaped modern artificial intelligence. 🔗 Find out more:…

RoyalFamily's tweet image. Today, The King presented The Queen Elizabeth Prize for Engineering at St James's Palace, celebrating the innovations which are transforming our world.
 
🧠 This year’s prize honours seven pioneers whose work has shaped modern artificial intelligence.

🔗 Find out more:…


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Hanging out with Project Jupyter co-founder @ellisonbg. If not for him and @fperez_org we wouldn’t have the coding notebooks we use daily in AI and Data Science. Very grateful to him and the whole Jupyter team for this wonderful open-source work!

AndrewYNg's tweet image. Hanging out with Project Jupyter co-founder @ellisonbg.  If not for him and @fperez_org we wouldn’t have the coding notebooks we use daily in AI and Data Science. Very grateful to him and the whole Jupyter team for this wonderful open-source work!

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it is common knowledge but i absolutely love how torch compile is able to fuse separate function calls doing some elementwise ops into a single triton kernel. it's like witnessing magic. we don't appreciate torch compile enough.

maharshii's tweet image. it is common knowledge but i absolutely love how torch compile is able to fuse separate function calls doing some elementwise ops into a single triton kernel. 

it's like witnessing magic. we don't appreciate torch compile enough.
maharshii's tweet image. it is common knowledge but i absolutely love how torch compile is able to fuse separate function calls doing some elementwise ops into a single triton kernel. 

it's like witnessing magic. we don't appreciate torch compile enough.

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GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners. Providing high quality research tooling is one of the most effective ways to…

lilianweng's tweet image. GPUs are expensive and setting up the infrastructure to make GPUs work for you properly is complex, making experimentation on cutting-edge models challenging for researchers and ML practitioners. 

Providing high quality research tooling is one of the most effective ways to…

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Sharing our second Connectionism research post on Modular Manifolds, a mathematical approach to refining training at each layer of the neural network

Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…

thinkymachines's tweet image. Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…


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BREAKING 🚨: Meta announced Meta Ray-Ban Display AI Glasses with an EMG Wristband! Did Zuck just kill the phone industry? 👀 Honestly, a wristband is a HUGE enabler, but there are significant questions about its quality.


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Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

thinkymachines's tweet image. Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference”

We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

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.@drfeifei on why LLMs will struggle to solve spatial intelligence: "Language is fundamentally a purely generated signal." "You don't go out in nature and there's words written in the sky for you." "There is a 3D world out there that follows laws of physics... to fundamentally…

The moment is right to push forward into a new frontier for AI — one that is as fundamental as language, says @drfeifei. That frontier is visual spatial intelligence. With Justin Johnson (@jcjohnss), her cofounder at @theworldlabs, and a16z's @martin_casado, Fei-Fei explains…



🚀 PyTorch TPU proud moment: vLLM TPU 🚀 At Google Cloud Next '25 keynote, Amin Vahdat announced vLLM on TPU. This is a HUGE breakthrough moment for TPU adoption! 🔥 Thank you @woosuk_k for your awesome contribution and collaboration.

_miladm_'s tweet image. 🚀 PyTorch TPU proud moment: vLLM TPU 🚀

At Google Cloud Next '25 keynote, Amin Vahdat announced vLLM on TPU.

This is a HUGE breakthrough moment for TPU adoption! 🔥

Thank you @woosuk_k for your awesome contribution and collaboration.
_miladm_'s tweet image. 🚀 PyTorch TPU proud moment: vLLM TPU 🚀

At Google Cloud Next '25 keynote, Amin Vahdat announced vLLM on TPU.

This is a HUGE breakthrough moment for TPU adoption! 🔥

Thank you @woosuk_k for your awesome contribution and collaboration.

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Very nice results from a @GoogleAI research effort on a general purpose time-series prediction model that gives good zero-shot performance to new forecasting tasks.

TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points, that displays impressive zero-shot performance on a variety of public benchmarks from different domains and granularities. Learn more → goo.gle/480VRlm

GoogleAI's tweet image. TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points, that displays impressive zero-shot performance on a variety of public benchmarks from different domains and granularities. Learn more → goo.gle/480VRlm


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Last week, I spoke about AI and regulations at an event at the U.S. Capitol attended by legislative and business leaders. I’m encouraged by the progress the open source community has made fending off regulations that would have stifled innovation. But opponents of open source are…


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Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…

It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…

Ahmad_Al_Dahle's tweet image. It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs.

Key highlights

  • 8B and 70B parameter openly available pre-trained and fine-tuned models.
  • Trained on more…


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Please welcome MegaBlocks to the Databricks family! databricks.com/blog/bringing-…

jefrankle's tweet image. Please welcome MegaBlocks to the Databricks family! databricks.com/blog/bringing-…

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The core PCE measure of US inflation, often referred to as the #FederalReserve's preferred gauge of price pressures, was better than the consensus forecast, The 0.1% monthly #inflation print brought the annual measure down to 3.2%. At 1.9% for the last 6 months, this inflation…


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i love you all. today was a weird experience in many ways. but one unexpected one is that it has been sorta like reading your own eulogy while you’re still alive. the outpouring of love is awesome. one takeaway: go tell your friends how great you think they are.


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Sam and I are shocked and saddened by what the board did today. Let us first say thank you to all the incredible people who we have worked with at OpenAI, our customers, our investors, and all of those who have been reaching out. We too are still trying to figure out exactly…


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Really nice joint work from @GoogleResearch and @GoogleDeepMind on using deep-learning for weather forecasting. This approach produces much higher spatial+temporal resolution forecasts than traditional numerical approaches (see gif below), giving our users much more precise info!

Announcing MetNet-3, the first AI weather model to learn from sparse observations and outperform the top operational systems up to 24 hours ahead at high resolutions. A portion of its forecasts are now available across various Google products. Learn more→ goo.gle/40ljd2Y



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