https://xitter.cf/t.co/Z4lzrsDC99 $3K/m, 100K users, Bootstrapped https://xitter.cf/t.co/Xs7gtHEu4D $10/m, 200 users Researcher @MSFTResearch: LLM inference, GPU kernels; views my own
Mumbai, India
Joined October 2015
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the exact moment Indilingo.ai crossed 100K users 🥳🥳🥳
grateful to everyone who’s been a part of this journey and the team i’m building this with
did anyone's audit agent find something actually scary this weekend or was it all "consider adding input validation"
the only language we don’t teach at indilingo.ai 😢
wtf, who made this indilingo.ai
wtf, who made this techreferrals.in
Jay | Building Indilingo retweeted
Practising without feedback is just guessing.
After each speaking session, Indilingo shows how you did and what to work on next.
indilingo.ai/download
ALT Indilingo's session analytics: Overall Performance card showing Beginner and a 6.0 out of 10 score, lifted out of an iPhone.
just had an amazing call with a user. showed him what we’ve been cooking, and he was absolutely mind-blown.
can’t wait for you all to see what’s coming in the next 1-2 weeks
Love him or hate him, you have to admit that Elon Musk is pushing the boundaries of physics, engineering, and what’s considered possible.
We’re literally watching rocket propulsion make its way into a car.
It’s hard not to be excited about the future he’s trying to build 🚀
Mira calls me every tuesday at 10.35 am without fail to practice my French.
You can set up your recurring calls too for practising any language at mira.indilingo.in
Had great fun presenting @Indilingo and Mira at the @OpenAI DevDay Exchange in Mumbai!
Loved the energy, conversations, and meeting so many people building exciting things in AI 🚀
Ben Affleck really is Bruce Wayne
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.”
