Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Everyone is learning JS/React. Everyone is learning AI tools. Almost no one is learning: > Kernel internals > Storage engines > Consensus algorithms > CPU architecture > Scheduling > Observability > Load balancing > Caching internals > RPC systems > Event-driven architecture The UI crowd is saturated. The systems... show more

Satyam

3,482 subscribers

32,901 views • 2 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Most AI tools stop at generating text. The real test is whether they understand *systems, workflows, and developers*. I tested GLM-4.7 from a builder’s perspective — UI, architecture, apps, and core logic.

Most AI tools stop at generating text. The real test is whether they understand systems, workflows, and developers. I tested GLM-4.7 from a builder’s perspective — UI, architecture, apps, and core logic.

Dipti Sharma

122,577 views • 5 months ago

The only one learning is ChatGPT

The only one learning is ChatGPT

gianmarco

48,496 views • 7 months ago

The crowd is erupting upon learning #Ohio has just passed an amendment that enshrines abortion into the Constitution

The crowd is erupting upon learning #Ohio has just passed an amendment that enshrines abortion into the Constitution

Jo Ingles

107,940 views • 2 years ago

Scooter (The question is what is the question) x Pump making up new bangers. Everyone get learning for Friday🕺🏼🇱🇻

Scooter (The question is what is the question) x Pump making up new bangers. Everyone get learning for Friday🕺🏼🇱🇻

Craig

97,592 views • 3 years ago

One is learning how to question Second is learning how to beg 🤡 Difference 🙏🏻

One is learning how to question Second is learning how to beg 🤡 Difference 🙏🏻

aree_shuklajii

11,968 views • 5 months ago

WE GOT THE FIREFLIES ENTRANCE FOR JEY USO 🔥 AMERICAN CROWD IS FINALLY LEARNING 😂 THANK YOU, FRANCE. #WWERaw

WE GOT THE FIREFLIES ENTRANCE FOR JEY USO 🔥 AMERICAN CROWD IS FINALLY LEARNING 😂 THANK YOU, FRANCE. #WWERaw

EliteRockerz 𝕏

274,151 views • 2 years ago

What if AI isn’t learning to think… but intelligence is learning to use AI?

What if AI isn’t learning to think… but intelligence is learning to use AI?

Morissa Schwartz 📚 (Dr. Rissy)

96,190 views • 1 year ago

This 1-hour crash course is exactly how Envoy works under the hood - what the Atlassian engineer used instead of expensive enterprise load balancers Hussein Nasser covers the real internals: > Listeners → Clusters → Network Filters - Envoy's core architecture > L7 routing and L4 TCP load balancing > TLS from scratch: Let's Encrypt, HTTP/2, blocking TLS 1.0/1.1 - SSL Labs A rating > why thread-per-connection breaks round-robin by default the YAML is painful. the architecture is genius watch this before reading the post above

This 1-hour crash course is exactly how Envoy works under the hood - what the Atlassian engineer used instead of expensive enterprise load balancers Hussein Nasser covers the real internals: > Listeners → Clusters → Network Filters - Envoy's core architecture > L7 routing and L4 TCP load balancing > TLS from scratch: Let's Encrypt, HTTP/2, blocking TLS 1.0/1.1 - SSL Labs A rating > why thread-per-connection breaks round-robin by default the YAML is painful. the architecture is genius watch this before reading the post above

Mr. Buzzoni

51,160 views • 23 days ago

Stanford just released a 1.5-hour lecture on “LLM Architecture.” This is the exact thing systems engineers at Anthropic and OpenAI require to understand at a deep level. Give it some time. This might be the highest-ROI learning you do this month.

Stanford just released a 1.5-hour lecture on “LLM Architecture.” This is the exact thing systems engineers at Anthropic and OpenAI require to understand at a deep level. Give it some time. This might be the highest-ROI learning you do this month.

Atal

468,207 views • 1 month ago

The new humanoid whole-body teleop & policy learning demo from Boston Dynamics & Toyota Research Institute (TRI) is so impressive. The telelop system includes BD's MPC system as controllers, VR headset, base stations, and trackers on chest & feet. The policy learning architecture is similar to TRI's LBM. Source:

The new humanoid whole-body teleop & policy learning demo from Boston Dynamics & Toyota Research Institute (TRI) is so impressive. The telelop system includes BD's MPC system as controllers, VR headset, base stations, and trackers on chest & feet. The policy learning architecture is similar to TRI's LBM. Source:

Guanya Shi

36,591 views • 9 months ago

Nations fall without coordination. Systems follow. Web3 is learning that the hard way. EPOCH MAINNET IS LIVE!!! Express your intent- we execute across chains, instantly, with real value. No more testnet. This is production.

Nations fall without coordination. Systems follow. Web3 is learning that the hard way. EPOCH MAINNET IS LIVE!!! Express your intent- we execute across chains, instantly, with real value. No more testnet. This is production.

EPOCH🦇🔉

14,065 views • 1 month ago

AI is so smart, why are its internals 'spaghetti'? We spoke with Kenneth Stanley and Akarsh Kumar (MIT) about their new paper: Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. Co-authors: Jeff Clune Joel Lehman

AI is so smart, why are its internals 'spaghetti'? We spoke with Kenneth Stanley and Akarsh Kumar (MIT) about their new paper: Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. Co-authors: Jeff Clune Joel Lehman

Machine Learning Street Talk

84,385 views • 11 months ago

AI is learning 🤦‍♂️🤭🫵🏾

AI is learning 🤦‍♂️🤭🫵🏾

𝕺𝖒𝖔𝕺𝖌𝖆𝕿𝖊𝖆𝖈𝖍𝖊𝖗

231,043 views • 4 months ago

Tesla is continuously improving the deep learning neural networks that power our real-world AI. Data labeling is vital to our autonomous systems. We're seeking passionate, detail-oriented minds to train the future of physical AI. Join us.

Tesla is continuously improving the deep learning neural networks that power our real-world AI. Data labeling is vital to our autonomous systems. We're seeking passionate, detail-oriented minds to train the future of physical AI. Join us.

Ryan Donnelly

161,564 views • 1 year ago

Hey everyone! Registration for my art class is almost closing! Follow the link down at the comments below to join in and start learning from me!

Hey everyone! Registration for my art class is almost closing! Follow the link down at the comments below to join in and start learning from me!

Philtomato 🍅

20,371 views • 1 year ago

As AI advances towards mainstream adoption, security and privacy in machine learning models must be prioritized Our founder Dawn Song shares why security in machine learning systems is crucial as we begin to use AI for everyday purposes

As AI advances towards mainstream adoption, security and privacy in machine learning models must be prioritized Our founder Dawn Song shares why security in machine learning systems is crucial as we begin to use AI for everyday purposes

Oasis Labs

20,264 views • 3 years ago

Mental map of Markov Chain Monte Carlo (MCMC) algorithms, and analogous machine learning (ML) algorithms [dashed = especially loose analogy]. Grey boxes are basic tools, and each arrow is annotated with the "delta" between algorithms.

Mental map of Markov Chain Monte Carlo (MCMC) algorithms, and analogous machine learning (ML) algorithms [dashed = especially loose analogy]. Grey boxes are basic tools, and each arrow is annotated with the "delta" between algorithms.

Keenan Crane

100,602 views • 1 year ago

The baby flamingo is learning to stand on one leg.

The baby flamingo is learning to stand on one leg.

Manoco

28,841 views • 22 days ago

Pride Is The Enemy Of Learning.

Pride Is The Enemy Of Learning.

Chris Williamson

19,566 views • 8 months ago

Pasta is learning the hard way!

Pasta is learning the hard way!

Terroriser

48,831 views • 1 year ago