Luke DeWitt (@whatadewitt) header
Luke DeWitt (@whatadewitt) profile picture

Sports fan. Director of Web Services @theredspace. Tweetin all kinds of nonsense about those and more! Tweets are my own (and sometimes my wife's)

Halifax, NS, Canada
Joined January 2008
Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)Photo by Luke DeWitt (@whatadewitt)
Bat crack followed by silence will never not give me chills
happy anniversary to the best baseball moment of my life
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Imagine being a Pirates fan who’s watched years of awful baseball and your org lucks into Skenes and Griffin and then the org is forced to choose one or the other because of a cap Nutting can’t keep them both even if he wanted to. This is not a better system. It’s a fuckin mess
“The NBA has a salary cap” Says the people who ignore the Celtics having to gut their championship team because they *drafted too well* and could barely build a roster around two home grown draft picks that turned into super maxes Great system there lmao
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11 Years Ago Today: The Bat Flip Heard Around The World 🐐👑 #JoeyBats
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Nobody: Frontier AI researchers:
BREAKING: Palantir’s CTO says some AI researchers are now smoking cigarettes because they expect AI to eventually cure cancer.
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Good Will Hunting GPU Edition Ep. 2: My Boy's Wicked Smaht
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that. “With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor. “You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something. “That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’ “I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
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Of course, that’s your contention. You’re a first-year machine-learning engineer. You just got finished readin' Attention Is All You Need, probably watched a Karpathy video too. So now you’re convinced everything is just transformers and scaling laws. That's gonna last until next month when you discover convolution, and then you're gonna be talkin' about inductive biases and locality and how CNNs were actually incredibly compute-efficient for vision. Then you're gonna read the FlashAttention paper, and suddenly everything's about IO complexity and SRAM and how FLOPs don't matter because the whole goddamn thing is memory-bandwidth bound. That'll last until somebody shows you an MoE model, and then you're gonna be in here regurgitating DeepSeek, talkin' about expert parallelism and active parameters and how dense models are economically obsolete. Then six months from now you'll write one shitty Triton kernel, look at an Nsight trace for the first time, and start telling everybody Python isn't actually the bottleneck because the GPU is asynchronous. And by next year you're gonna be standing right here explaining to me that your 400-billion-parameter model is fast because you turned on CUDA graphs.
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that. “With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor. “You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something. “That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’ “I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
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“You’re absolutely right, a team with one of MLB’s highest payrolls should make the Postseason. Let’s try that again.”
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This season has been tough. Today has been awesome. #bluejays
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The Head of Engineering when he sees PMs pushing vibe slop to production but also has a mortgage to pay
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… I don’t love the whole Vlad thing going on but this just showed up on my feed and I think it’s important to realize that these players likely think about contracts way different than fans do…
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Open Gameday, "wow, Max with 3ks LFG"... the next 3 runners all reach 🫤
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Luke DeWitt retweeted
Jev is INSANE. I built this in an evening and morning. A real-time trading bot ingesting onchain+offchain data to make rapid decisions about trades. Fully autonomous. So far it has lost me $31,680.
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We might be cooked, gang…
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JUST IN: Anthropic says they’re highly profitable if you take out some of their biggest expenses.
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This morning’s chat with Claude hasn’t exactly filled me with confidence.
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Almost looked like a complete miss and it got out. Keep it rollin
Vladimir Guerrero Jr. hits his first homer at Rogers Centre this season, following George Springer's solo shot B5, came in home game No. 75 for the Blue Jays. It was his ninth overall this year.
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We are so back, baby!
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Okamoto the only one worth a damn right now
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