Pavan Pitiwaduge

RnD 🚀 | Undergrad @ CSE UOM

[Devnith Wijesinghe @devnithw]

4 years of university went by crazy fast

[Pavan Pitiwaduge @_pavan0001]

@SuveenE Impressive work Suveen!! The insights were very interesting, and I must say your composed delivery made the talk even more impactful 💯

[Pavan Pitiwaduge @_pavan0001]

@SuveenE @claudeai 400 Bad Request feels off for a straight-up geo-restriction. Maybe a 403 Forbidden, or I assume, a 451 Unavailable For Legal Reasons would be way more accurate here :)

[Andrej Karpathy @karpathy]

Thank you Jensen and NVIDIA! She’s a real beauty! I was told I’d be getting a secret gift, with a hint that it requires 20 amps. (So I knew it had to be good). She’ll make for a beautiful, spacious home for my Dobby the House Elf claw, among lots of other tinkering, thank you!!

[Zed @zeddotdev]

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[Adi Oltean @AdiOltean]

We have just used the @Nvidia H100 onboard Starcloud-1 to train the first LLM in space!

We trained the nano-GPT model from Andrej @Karpathy on the complete works of Shakespeare and successfully ran inference on it.

We have also run inference on a preloaded Gemma model, and we plan to try more exciting models in the future.

Getting the first H100 to work in space required a lot of innovation and hard work from the incredible Starcloud team to make this breakthrough.

This is a significant first step toward moving almost all computing off Earth to reduce the burden on our energy supplies and take advantage of abundant solar energy in space! 🚀

[Dad Jokes @Dadsaysjokes]

Took my car to the mechanic because it was making a terrible noise.

He removed the Mariah Carey Christmas CD, and now it’s fine.

[Pavan Pitiwaduge @_pavan0001]

@SuveenE 🔥🎉

[Mathieu @miniapeur]

Mathematicians handling linear algebra to the machine learning community.

[Pavan Pitiwaduge @_pavan0001]

@devnithw Yeahh, NGL, after I got Gemini Pro, I haven't used chatgpt at all. (Latex compiled PDFs ftw) 🙂‍↕️

[Sundar Pichai @sundarpichai]

Our TPUs are headed to space! 

Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100 trillion times humanity’s total electricity production).

Like any moonshot, it’s going to require us to solve a lot of complex engineering challenges. Early research shows our Trillium-generation TPUs (our tensor processing units, purpose-built for AI) survived without damage when tested in a particle accelerator to simulate low-earth orbit levels of radiation. However, significant challenges still remain like thermal management and on-orbit system reliability. 

More testing and breakthroughs will be needed as we count down to launch two prototype satellites with @planet by early 2027, our next milestone of many. Excited for us to be a part of all the innovation happening in (this) space!

[Jia-Bin Huang @jbhuang0604]

how a computer vision researcher sees the world (and solves most problems in vision).

[Pavan Pitiwaduge @_pavan0001]

@SuveenE The minute I saw the post, I knew it was gonna go viral 🌚🔥

[Zed @zeddotdev]

It's finally here. Zed is available on Windows.

Built from scratch, and rendering at 1 million pixels/millisecond.

Download it today 👇

[Ahad 🥑 @a_hahahahad]

*in a system design interview*

> what type of database would you use while designing a dating app

( don't say it )
( don't say it )
( don't say it )
.

me: Relational Database

[Pavan Pitiwaduge @_pavan0001]

@DamsithAdikari

[Pavan Pitiwaduge @_pavan0001]

@SuveenE @ChatGPTapp Why 🤔

[Marques Brownlee @MKBHD]

Re-discovering a song you used to jam to when you were younger has to be a top 5 human feeling