J. Murali

[Anatoli Kopadze @AnatoliKopadze]

Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."

This 47-minute lecture is the best thing I've seen about AI in the last few months.

Hinton built the neural networks behind every AI alive, then quit Google to warn us it's already ahead of us on most cognitive tasks.

Despite that, most people open Claude, type one thing, close the tab and think they're using AI, but they're using maybe 10%.

I turned his talk into 17 Claude features 99% of users never find.

Watch the lecture, then read the article below.

[J. Murali @jMurali]

https://t.co/g9dA9vVtQU

[Rash_TechAI @irashathadani]

10 RESEARCH WEBSITES THAT PHDS DO NOT WANT YOU TO FIND.

Bookmark this. Academia is gatekept by paywalls and you should not be paying.

1. https://t.co/w5aGmsEO8t
The largest open library on earth. Almost any textbook your professor assigned is here for free.

2. https://t.co/bgokJYdop3
The search engine for academic papers. Sort by citations to find the most influential research.

3. https://t.co/iF6YXpIhEj
AI powered paper search built by the Allen Institute. Highlights every citation in context.

4. https://t.co/5xwH9lD6tl
Plug in one paper, see every related study mapped as a graph. Reveals what experts actually read together.

5. https://t.co/1pMqKlnIWZ
An AI research assistant. Ask any question and get a structured table of papers with key findings.

6. https://t.co/loNjo3UikE
Aggregates the conclusions of thousands of papers into one answer. Stops cherry picking.

7. https://t.co/zoFxYq3kOi
The Spotify of papers. Recommends new research based on what you have already read.

8. https://t.co/SwdhbpHOQt
Visualizes citation chains. Shows how an idea spread across decades of research.

9. https://t.co/RmAmyVOCV7
Tells you which papers support, contradict, or mention any claim. Saves hours of fact checking.

10. https://t.co/D8H3COvPXj
200 million open access papers in one searchable index. The world's largest free academic archive.

Most students pay $40,000 to access what these sites already make free.

[J. Murali @jMurali]

https://t.co/Jc2x4kD2nB

[Andrew Bolis @AndrewBolis]

NVIDIA is offering free online courses to learn AI.

They’re practical, well-structured, and easy to follow.

Here are 9 NVIDIA courses with official links included:

[ bookmark 🔖 this thread for later ]

[Matthew Honnibal @honnibal]

I still see a lot of people discussing LLMs as next-token predictors, which is by now quite a misunderstanding. A related opinion is that LLM progress will probably plateau. This post explains why I don't think the "plateau" argument holds up. https://t.co/fJPBoWs2aX

[Philosophy Of Physics @PhilosophyOfPhy]

This is the beauty of calculus. Wish someone had taught it like this to me.

( 🎥 Dm fro credit)

[Big Brain Business @BigBrainBizness]

Mark Zuckerberg in 2004 casually building what would become the world's largest social network:

[Carlos E. Perez @IntuitMachine]

How social media is rewiring human thought.

[Imtiaz Mahmood @ImtiazMadmood]

One of Einstein’s students asked him: “What does logic mean?”

Einstein said: “I will answer you with a question.”

“Suppose two workers enter a chimney to clean it. One comes out with a dirty face and the other with a clean face. Who will go wash their face?”

The student immediately and without hesitation replied, “Of course, the one with the dirty face.”

Einstein said: “Your answer is incorrect. The one who will wash their face is the one with the clean face, because he looked at his colleague’s face and assumed that his own face was as dirty as his colleague’s. The one with the dirty face will not wash his face, thinking it is clean like his colleague’s.”

The student said: “That is correct and logical.”

Einstein replied: “No, it is not correct, because the question itself is illogical. It is not logical for two men to enter the same chimney at the same time and for one to come out clean and the other dirty.”

In a few words, logic itself can collapse, so sometimes the problem is not in the answer but in the flawed question itself.

- @GlobalIJournal

[Dhairya @dkare1009]

Stop wasting hours trying to learn AI. 📘📚

I have already done it for you.

With one list. Zero confusion. And no fluff

📹 Videos:

1. LLM Introduction: https://t.co/Qja4lkPWlY

2. LLMs from Scratch: https://t.co/DAtGeO5if3

3. Agentic AI Overview (Stanford): https://t.co/APcq2oulIY

4. Building and Evaluating Agents: https://t.co/UeCQBskKUS

5. Building Effective Agents: https://t.co/B2tpQHaVoz

6. Building Agents with MCP: https://t.co/CwVBIVUjd0

7. Building an Agent from Scratch: https://t.co/u2jhiZy6UV

8. Philo Agents: https://t.co/lFMIus5CpQ

🗂️ Repos

1. GenAI Agents: https://t.co/yoTno6RBAb

2. Microsoft's AI Agents for Beginners: https://t.co/EGGYhcMq7b

3. Prompt Engineering Guide: https://t.co/fSCoEaFtNf

4. Hands-On Large Language Models: https://t.co/TvpkfJN2sR

5. AI Agents for Beginners: https://t.co/EGGYhcMq7b

6. GenAI Agentshttps://lnkd.in/dEt72MEy

7. Made with ML: https://t.co/cCWWXKh2wW

8. Hands-On AI Engineering:https://t.co/fiLwjmXR8B

9. Awesome Generative AI Guide: https://t.co/MEhtfRlhiu

10. Designing Machine Learning Systems: https://t.co/l21VO4rRBK

11. Machine Learning for Beginners from Microsoft: https://t.co/d3EPcDJWmz

12. LLM Course: https://t.co/xXxETt90eS

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/rVDu4EyPB5

2. Google's Agent Companion: https://t.co/IWjvSpSE2q

3. Building Effective Agents by Anthropic: https://t.co/0wK5pe5DD6.

4. Claude Code Best Agentic Coding practices: https://t.co/fu7GHgvnAi

5. OpenAI's Practical Guide to Building Agents: https://t.co/sXpo72PxpI

📚Books:

1. Understanding Deep Learning: https://t.co/YRV9Kz78Gy

2. Building an LLM from Scratch: https://t.co/naslph9aCF

3. The LLM Engineering Handbook: https://t.co/BwmUJ6OgHe

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/ZIDeOOamnz

5. Building Applications with AI Agents - Michael Albada: https://t.co/409SxePxhA

6. AI Agents with MCP - Kyle Stratis: https://t.co/3k9lFG3ByM

7. AI Engineering: https://t.co/tHfgc3wNKQ

📜 Papers

1. ReAct: https://t.co/8yV9k9RjOK

2. Generative Agents: https://t.co/PpaAbCvWmj.

3. Toolformer: https://t.co/mSfjjT6urU

4. Chain-of-Thought Prompting: https://t.co/uGktDnFBOb.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/4MLjHKcWSI

2. MCP with Anthropic: https://t.co/EnUWTrvaK4

3. Building Vector Databases with Pinecone: https://t.co/AmQzrCVweX

4. Vector Databases from Embeddings to Apps: https://t.co/HZbr4UBlw2

5. Agent Memory: https://t.co/TxvrpeBMFj

Repost for your network ♻️

[Probability and Statistics @probnstat]

Statistics by Professor Leonard!

[J. Murali @jMurali]

How to learn?
https://t.co/VsHnnvpo1F

[J. Murali @jMurali]

@JayAlammar A collection Bees

[Adithya @im_adithya_v]

@VTikke https://t.co/3H4smAWIAw

[Swapna Kumar Panda @swapnakpanda]

The Channel: ProfRobBob

❯ Algebra
https://t.co/gzfhCVDFqM

❯ Calculus
https://t.co/POSShsNJeP

❯ Geometry
https://t.co/MH3Az6YDfw

❯ Trigonometry
https://t.co/ZAkuArxztc

❯ Statistics
https://t.co/BSwJob9tSY

❯ Vector Math
https://t.co/kofzStnF2f

❯ Linear Algebra
https://t.co/68FRoAF2Sk

[J. Murali @jMurali]

@TTechFusionist Python101

[J. Murali @jMurali]

@selinatasnim1 FREE

[J. Murali @jMurali]

@Zephyr_hg NEWS

[J. Murali @jMurali]

@recap_david Blueprint