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Rust 1.65.0 is now available. 🦀
Today's release brings generic associated types (GATs), let-else statements, std::backtrace, and more.
See the announcement and release notes for details:
blog.rust-lang.org/2022/11/0…
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The Transformer is a magnificient neural network architecture because it is a general-purpose differentiable computer. It is simultaneously:
1) expressive (in the forward pass)
2) optimizable (via backpropagation+gradient descent)
3) efficient (high parallelism compute graph)
I like the use of the event reducer and partial implementation of an ecs in this article
"Making a turn-based multiplayer game in Rust" herluf-ba.github.io/making-a…
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Transformers are robust reasoners, but frustratingly lack the ability for accurate math, navigation, & other easily coded tasks. In our new work "Behavior Cloned Transformers are Neurosymbolic Reasoners", we show you can have the best of both worlds. 1/3
cognitiveai.org/wp-content/u…
blenderbot.ai is a fascinating project from @meta, the developing persona from the AI's long term memory as a way to reduce the vector search space while also developing a model of the person interacting with it
“My hope is someday, when the next Aristotle is alive, we can capture the underlying worldview of that Aristotle - in a computer. And someday, some student will be able not only to read the words Aristotle wrote, but ask Aristotle a question - and get an answer!"- Steve Jobs,1985
It is remarkable how coherent this interview is. The cadence of Steve Jobs voice however doesn’t sound great, perhaps due to the available training data mostly comes from his presentation voice. Impressive nonetheless! podcast.ai/
If #AlphaTensor can effectively bootstrap itself into greater efficiency in discovering a more efficient matrix multiplication algorithm, what is the upper limit to this method? What else can we push it to discover
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ICYMI: On the cover of @Nature - #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication.
Learn more ⬇️
dpmd.ai/dm-alpha-tensor
dpmd.ai/nature-alpha-tensor
Researchers at DeepMind have shown that AI can find shortcuts in a fundamental type of mathematical calculation go.nature.com/3ylZXWh
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With some recent [1][2] fixes, passthrough nvme support for io_uring is now able to reach ~105M IOPS. Need to get the tag batching sorted, then we should get it very close (or better) than raw bdev.
[1] lore.kernel.org/io-uring/202…
[2] lore.kernel.org/linux-block/…
So this would be cool. B-Tree lookups without round-trips to userspace using kernel eBPF modules, much closer to NVMe devices asafcidon.com/uploads/5/9/7/…
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We’ve removed the waitlist for DALL·E. Sign up and start creating immediately! openai.com/blog/dall-e-now-a…
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This is insane: @drfeifei and team are about to publish a robotics paper that enables robots to perform 1000 common human tasks just from observation of humans.
Get ready
youtube.com/watch?v=9B02MzWw…
Large language models are going much further than I think anyone can even imagine. It's entirely plausible that LLM are the key to training autonomous systems on completely unlabeled data
AI capabilities are accelerating unbelievably fast it's absolutely mind exploding. DL being layered as a way to completely predict entire frames, SER shader scheduling. I am close to believing the simulation theory with this stuff youtube.com/watch?v=PWcNlRI0…
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Great walkthrough of NVIDIA CEO Jensen Huang's keynote at GTC.
Several crazy projects in the works, from generative video game engines, digital twins in the Omniverse platform, and a video-to-3D geometry pipeline.
Watch on YouTube here: youtube.com/watch?v=PWcNlRI0…
6/15
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We're thrilled to announce the release of Rust 1.64.0, featuring the IntoFuture trait, C-compatible types in libcore and liballoc, and many more changes! Check out the highlights on our blog: blog.rust-lang.org/2022/09/2…