Pramod Toraskar

Engineer

[Elon Musk @elonmusk]

SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible.

The potential speed improvement vs JAX for large training runs is over an order of magnitude.

[xAI @xai]

Grok Build is now available in Beta for all SuperGrok and X Premium+ users.

Use Plan Mode, create images and videos with Imagine, and build automations or orchestrators with the CLI.

Visit https://t.co/bpTHpjivWD to get started.

[Pramod Toraskar @PramodToraskar]

@karpathy @ehsanik Congratulations 🎉

[Pramod Toraskar @PramodToraskar]

Magic is real engineering

[Elon Musk @elonmusk]

Engineering is real magic

[Pramod Toraskar @PramodToraskar]

Step towards Type I - Planetary 10^16

[Elon Musk @elonmusk]

SpaceXAI + Tesla TERAFAB Project

Goal is a trillion watts of compute/year

Most must necessarily go to space, as US electricity is only 0.5TW

[SpaceX @SpaceX]

Announcing TERAFAB: the next step towards becoming a galactic civilization https://t.co/xTA70LOU0e

[Tesla Owners Silicon Valley @teslaownersSV]

Starship is the first rocket ever designed to go to the Moon and Mars. It’ll have 42 engines.

[Pramod Toraskar @PramodToraskar]

probabilities describe possibilities

[Math Files @Math_files]

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

[Math Files @Math_files]

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

[Tesla AI @Tesla_AI]

Teslas now drive themselves from their birthplace at the factory to their designated loading dock lanes without human intervention

One step closer to large-scale unsupervised FSD

[Elon Musk @elonmusk]

Success is uncertain, but entertainment is guaranteed! ✨

[Pramod Toraskar @PramodToraskar]

@elonmusk HNY 2025

[Starbase Surfer @cnunezimages]

If you want to go there. Start here - December 29, 2023

[Pramod Toraskar @PramodToraskar]

That’s True ☺️.. Look back because love the car..
#tesla

[TechOperator @TechOperator]

Did you remember to turn off the vehicle by stopping the combustion process, apply the parking brake, and lock the doors before walking away from your exhaust fumes? With a Tesla, you look back because you love the car, not because you may have forgotten something.

[SpaceX @SpaceX]

Falcon 9’s first stage has landed on the A Shortfall of Gravitas droneship

[Pramod Toraskar @PramodToraskar]

@B__Lahane Shri Swami Samantha 🙏🏼

[SpaceX @SpaceX]

Watch Falcon 9 launch 24 @Starlink satellites to orbit from Florida https://t.co/h4PZEJWa94

[Pramod Toraskar @PramodToraskar]

@elonmuskTN Yes.

[Parul Gautam @Parul_Gautam7]

60 AI Tools to start your $7,000/m profitable online business in 2024:

1. Video
→ Eightify : https://t.co/zx8PGKOotQ
→ InVideo
→ HeyGen
→ Runway
→ Morphstudio .xyz

2. Website
→ Dora
→ 10Web
→ Framer
→ Unicorn
→ Hostinger

3. Ideas
→ Claude
→ ChatGPT
→ Bing Chat
→ Perplexity
→ HuggingChat

4. Research
→ Sourcely .net
→ Studentai .tools

5. Writing
→ Yomu
→ Jasper
→ Longshot
→ Textblaze
→ Copymate

6. Meeting
→ Tldv
→ Krisp
→ Otter
→ Fathom
→ Airgram

7. Chatbot
→ SiteGPT
→ Chatbase
→ ChatSimple
→ CustomGPT
→ Mutual .info

8. Automation
→ Make
→ Levity
→ Zapier
→ Xembly
→ Bardeen

9. UI/UX
→ Uizard
→ UiMagic
→ InstantAI
→ Galileo AI
→ Photoshop

10. Image
→ Leap AI
→ Nex .art
→ Midjourney
→ Bing create
→ Stable Diffusion

11. Design
→ Canva
→ Flair AI
→ Clipdrop
→ Booth AI
→ Autodraw

12. Marketing
→ Pencil
→ Ai-Ads
→ AdCopy
→ Simplified
→ AdCreative

13. Twitter
→ Typefully
→ Tweetlify
→ Tribescaler

Bookmark/ RT if you find this helpful ❤️