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Nice to see Swift continue its fast growth - interesting that Swift, C and C++ are the only traditionally statically compiled languages in the top 10.https://twitter.com/fruktorum/status/1217052579013824517 …
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Chris Lattner Retweeted
Our new SVP of Platform Engineering
@clattner_llvm shares why he’s excited to join the SiFive team and what he hopes to accomplish. Check it out here: https://www.sifive.com/blog/with-sifive-we-can-change-the-world …#ideatosilicon#riscvThanks. Twitter will use this to make your timeline better. UndoUndo -
Chris Lattner Retweeted
Indeed! Thanks for your hard work and for setting several important projects on good paths! We wish you the best.
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Sigh internet
. Clarifying: all of the projects I was involved in & driving at Google (incl. S4TF, MLIR, an incredible new TF runtime, XLA, TPU SW, etc) are in very good hands 
, have exec commitment and strong roadmaps. I c/wouldn't leave if uncertain about that! @JeffDeanThanks. Twitter will use this to make your timeline better. UndoUndo -
I am super excited to join
@SiFive today, leading the software team that builds tooling to enable 'silicon at the speed of software'. Chip design is challenging, and needs open tools that are well designed, easy to use, and state of the art. More at: https://sifive.com/blog/with-sifive-we-can-change-the-world …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Chris Lattner Retweeted
We’re thrilled to welcome
@clattner_llvm to lead SiFive Platform Engineering as SVP. Chris brings more than 15 years of experience in software engineering and#machinelearning infrastructure with@Google, Apple, and@Tesla. For more: https://www.businesswire.com/news/home/20200127005141/en/Google-Tesla-Engineer-Chris-Lattner-Lead-SiFive …#riscv#ideatosiliconpic.twitter.com/jbVpL9KCp6
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Chris Lattner Retweeted
Have you ever wondered what will be the ML frameworks of the '20s? In this essay, I examine the directions AI research might take and the requirements they impose, concluding with an overview of what I believe to be two strong candidates: JAX and S4TF.http://inoryy.com/post/next-gen-ml-tools/ …
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Excited to be sharing some Thoughts on Tensor Code Generation in MLIR, tomorrow at 10am pacific at the weekly MLIR open design meeting:https://docs.google.com/document/d/1y_9f1AbfgcoVdJh4_aM6-BaSHvrHl8zuA5G4jv_94K8/edit# …
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This is a profound and inspiring vision for Swift 6: multi platform investment, concurrency, move semantics, rust-style ownership, Automatic Differentiation and investment in developer joy

https://twitter.com/tkremenek/status/1220115468771422208 …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Construction progress, plus sock holder
for inspirationpic.twitter.com/oU8tt3PwYF
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Finished Riley’s treasure box for Xmas:
wood, sapelle & bamboo, an experiment with rounded box joint corners.pic.twitter.com/UzUi6ZthwU
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It's apparently the day when I point out why "if you ignore the engineering expense, it would clearly make sense to reimplement the mid-level LLVM optimizers on top of MLIR and replace include/llvm/IR with a dialect definition in MLIR instead":
https://groups.google.com/d/msg/llvm-dev/VnwBwF2CS9Y/w8rhkErNCQAJ …Thanks. Twitter will use this to make your timeline better. UndoUndo -
Chris Lattner Retweeted
I am so proud to announce that Swift for Good: Volume One is out now, with incredible contributions from folks around the @SwiftLang community. We raised over $40,000 from pre-orders alone, with all money going to@BlackGirlsCode. Get your copy here: https://www.swiftforgood.com pic.twitter.com/gYxb6aZBrH
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Chris Lattner Retweeted
I'm spending my evening doing the final Swift for Good editing pass ahead of release tomorrow. When
@clattner_llvm opens the book with these words you know it's going to be good…
Pre-order your copy here: https://www.swiftforgood.com/ pic.twitter.com/KQCYgZOOhh
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Chris Lattner Retweeted
Swift is used on Apple devices, servers, in machine learning... now, let's make it a thing on bare metal! Excited to open source my latest project – Swift for Embedded Systems!
https://github.com/swift-embedded/swift-embedded …
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This is such great work. LLDB integrating with modules is a long term dream - the debugger should be able to see "all the things", even if it isn't in DWARF. LLDB: If the user asks for a template you don't know, just instantiate it - you have a full compiler inside of you!
https://twitter.com/matt_dz/status/1210294138496847875 …
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Chris Lattner Retweeted
Hacking
#Swift for#TensorFlow with#CoreML to enable distributed training. Hacking towards a Swift Federated Learning solution.https://lnkd.in/gKhy4UPThanks. Twitter will use this to make your timeline better. UndoUndo -
Chris Lattner Retweeted
The MLIR project has now been imported into the LLVM monorepo https://github.com/llvm/llvm-project/commit/0f0d0ed1c78f1a80139a1f2133fad5284691a121 … See here for more info on MLIRhttps://www.tensorflow.org/mlir
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Chris Lattner Retweeted
You can now create new blank Swift Colab notebooks by going to https://colab.research.google.com/notebook#create=true&language=swift … just like other languages! (Spotted by
@bradlarson.)Thanks. Twitter will use this to make your timeline better. UndoUndo -
Chris Lattner Retweeted
So it's official: I'll be joining old friends and new at Google, on the Swift for TensorFlow team (https://www.tensorflow.org/swift ). Very happy, and super excited to learn more about ML and engage more actively with the Swift community!
This is going to be cool.Thanks. Twitter will use this to make your timeline better. UndoUndo
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