vishal @sirsystems2
Interests: Information retrieval, Systems for Deep learning Experiences: IIT Kharagpur, Microsoft Turing team, UMass Amherst Bangalore Joined March 2019-
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Brand new, fresh out of a French printer
Why is this move brilliant?
Much like humans, CPUs heal in their sleep. CPUs are *technically* replaceable / wear items. They don’t last forever. Yet, the moment stress is removed, transistor degradation (partially) reverses. It's called Bias Temperature Instability (BTI) recovery:
GPU MODE is the best place to dive deeper and deeper into GPUs.
> be Yang Zhilin, absolute legend > creates XLNet at Google, basically teaches BERT a lesson in "hold my beer" > leaves to start own thing, calls it "Moonshot" because of course he did, the man is 100% Pink Floyd-pilled > 2024: Drops an LLM with a 2 MILLION context window, even…
> be Yang Zhilin, absolute legend > creates XLNet at Google, basically teaches BERT a lesson in "hold my beer" > leaves to start own thing, calls it "Moonshot" because of course he did, the man is 100% Pink Floyd-pilled > 2024: Drops an LLM with a 2 MILLION context window, even… https://t.co/Utz55knEQ0
Being a professor Selling courses.
Productivity is driven either by curiosity or by fear. If you think you are highly unproductive, pick up something you are curious about or induce an artificial fear - ex deadlines, irrelevance, or failure. It's not always comfortable, but fear can be a powerful motivator.
Dear rich people, Invest in deep tech, hardware and manufacturing startups. Live a little.
at this point, I wouldn’t even be surprised if some tiny chinese startup from a completely unheard of field suddenly dropped a near-sota moe model.
at this point, I wouldn’t even be surprised if some tiny chinese startup from a completely unheard of field suddenly dropped a near-sota moe model.
>3,375 commits to rust >4,000 commits to firefox >was staff eng at mozilla surprised that he hasn’t found a job yet
at least in finance working an 80 or even 100 hour week is more about being available essentially all the time and thus never really "not working" but also you're not literally working the whole time
at least in finance working an 80 or even 100 hour week is more about being available essentially all the time and thus never really "not working" but also you're not literally working the whole time
We tried this for edge inference at Microsoft. It didn't work well even if it was fast so we dropped it.
We tried this for edge inference at Microsoft. It didn't work well even if it was fast so we dropped it.
We are looking to hire an intern who can work on our RL environment curation and data curation stack. Prior experience with post-training is a must, as well as great software engineering skills. DM me or email your resume to hiring at bespokelabs dot ai. In addition, we are…
📚 Is Parallel Programming Hard, And, If So, What Can You Do About It? The classic "perfbook" is a comprehensive guide to practical parallel programming, associated challenges, and more, and is a foundational resource in parallel programming. mirrors.edge.kernel.org/pub/linux/kern…
📚 Is Parallel Programming Hard, And, If So, What Can You Do About It? The classic "perfbook" is a comprehensive guide to practical parallel programming, associated challenges, and more, and is a foundational resource in parallel programming. mirrors.edge.kernel.org/pub/linux/kern… https://t.co/WrBO5S9lb1
🏓🤖 Our humanoid robot can now rally over 100 consecutive shots against a human in real table tennis — fully autonomous, sub-second reaction, human-like strikes.
@cvkrishnan RIL, their R&D in chemicals & petrochemicals itself is tiny. Despite their gigantic size, they have little strategic leverage. All processes, layouts, designs, chemical catalyst, new age processes come from foreign license holders. Was reading into this, insane how dependent we r
i have tasted unemployment. i have tasted cheap dopamine. i highly recommend locking in on discipline.
One of the most important condition for doing a really good research work is first rate health. In absence of that, one can’t think hard for a really long time. I categorise mathematicians based on how long they can do concentrated thinking. A decent is 5000 hours in 3-4 years.
We are ending strong with GPU Programming 🚀! 2 talks today back to back! First @exists_forall for intro to CUDA and then @simran_s_arora for Thunder Kittens 🐈! Today at: 1:00pm EST / 11:00am PT - scale-ml.org/bootcamp
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