wisdomstudent

here to learn and share . All views are personal . RTs are not endorsements

[BookNote @BookNoteApp]

Hope you found your next book!

Retweet the first post to share with others:

[wisdomstudent @wisdomstudent1]

Daniel Goldman !!

[Leaders 𝕏 Junction @LeadersJunction]

Before you think of quitting your job do this‼️

[AstroCounselKK 🇮🇳 @AstroCounselKK]

MEDICINES EVERYONE SHOULD HAVE AT HOME FOR IMMEDIATE HEART ATTACK TREATMENT

Because in a heart emergency, every second counts.

Must watch ..
Share max..

Let this reach each and everyone in your contacts
Never shy away from sharing such a valuable knowledge that can save lives

[Isaac 🇺🇸 @returntoquality]

I discovered this guy on YouTube a few months ago and he absolutely rules

[Gunhild Johanne Reumert | AI Tools & News @shedoesai]

How to become dangerously good at AI without wasting 1000+ hours.

No useless tutorials.
No fake AI gurus.
No information overload.

I spent weeks filtering the internet so you don’t have to.
Here’s the ultimate AI learning stack for:

• LLMs
• AI Agents
• MCP
• Prompt Engineering
• RAG
• AI Engineering
• Vector Databases

🧠 Videos

LLM Introduction
https://t.co/h6ozVonQ6A
LLMs from Scratch
https://t.co/D8FQDODqNU
Agentic AI Overview (Stanford)
https://t.co/JzkZzYDEdO
Building & Evaluating Agents
https://t.co/s0xfg3yZXA
Building Effective Agents
https://t.co/TgZLOTQAS0
Building Agents with MCP
https://t.co/tOEaposX4k
🗂️ Repositories
Microsoft AI Agents for Beginners
https://t.co/mT1G6WkVrE

Prompt Engineering Guide
https://t.co/gV7DhhwOMk

Hands-On LLMs
https://t.co/DXuyVmXNWe
Made With ML
https://t.co/pCk1JOXx1d

LLM Course
https://t.co/J3iXmn4Qha
📚 Guides

Google Agent Whitepaper
https://t.co/y8cyaXNlhu
Building Effective Agents by Anthropic
https://t.co/ZcQnJMfGAV

OpenAI Practical Guide to Agents
https://t.co/y25UBCbcHA
📖 Books

Building LLMs from Scratch
https://t.co/AK5NUtOfLS
The LLM Engineering Handbook
https://t.co/CFl7CftMHz

AI Engineering
https://t.co/vO8AAPCuy9
📄 Papers

ReAct
https://t.co/autyBsoimK

Toolformer
https://t.co/DpEXu9rlTi
Generative Agents
https://t.co/Mqpdfu3tGK

🎓 Courses
HuggingFace Agents Course
https://t.co/R2pmC4Ypiw

MCP with Anthropic
https://t.co/X8PqGfoAdA
Bookmark this.

You’ll need it sooner than you think.

[Leaders 𝕏 Junction @LeadersJunction]

If you act as if god is within you..‼️

[The Sigma Mindset @thesigmamindset]

If you're an overthinker, you must watch this...

[wisdomstudent @wisdomstudent1]

How to write ?

[Jaynit @jaynitx]

https://t.co/67rAGZE7X3

[wisdomstudent @wisdomstudent1]

Addicted to your phone try these remedies

[wisdomstudent @wisdomstudent1]

.

[James @jamescoder12]

YOUR CV IS PROBABLY NOT BAD. IT IS JUST NOT POSITIONED WELL.

Claude can now rewrite it like a high end career coach and make it far more recruiter ready in minutes.

These 6 prompts do exactly that.

Save this. 🧵

[wisdomstudent @wisdomstudent1]

.

[Arti Shah @TechByArti]

During a job interview, if they ask: “Do you have any questions for us?”

USE THE GOLDEN RESPONSE:

[wisdomstudent @wisdomstudent1]

Learn deep learning AI https://t.co/0CyD7lmRDt

[wisdomstudent @wisdomstudent1]

.

[Chidanand Tripathi @thetripathi58]

JOB INTERVIEW:
"Why are you looking to leave your current role?"

Most candidates say:
"I'm looking for new challenges and a place where I can grow my career."

THE WINNING ANSWER:

[wisdomstudent @wisdomstudent1]

Richard Hamming Lecture https://t.co/mQJTQ1Bdup

[wisdomstudent @wisdomstudent1]

What are trackers and how they work ? https://t.co/u4UGS6VE4G

[wisdomstudent @wisdomstudent1]

.

[Himanshu Kumar @codewithimanshu]

Every time you accepted a salary, chose a price, or walked into a negotiation, the other person was running game theory in their head.

You were guessing.

This 1-hour Yale lecture by Professor Ben Polak will change how you read people and make decisions forever.

MBAs pay $150K to learn this. Yale posted it on YouTube for free.

Save this post. Watch it this tonight.

Follow @codewithimanshu for more high-signal content that actually changes the trajectory of your career.
↓

Here's why most people lose every negotiation they enter.
You walked into your last salary discussion hoping for the best.

They walked in with frameworks. Payoff matrices. Dominant strategies. Backward induction. Nash equilibrium.

You said "I was thinking $85K." They already knew the number you'd accept. Because they ran the game before you sat down.

That's not a skill gap. That's a universe gap.
And it's costing you $20K, $50K, $100K every single year.
↓

Game theory isn't math for MBAs.
It's the operating system of every human interaction.

Job negotiations. Pricing decisions. Business deals. Relationships.

The person who understands it wins by default. Not because they're smarter. Because they're playing a different game.

You're playing checkers thinking it's chess. They're playing chess thinking it's 4D chess.

Professor Ben Polak teaches Yale's most famous game theory course. Students pay $80,000/year for access to him. His full lecture is now on YouTube. Free.
↓

What 1 hour with Polak teaches you.

How to predict what the other side will do before they do it. When to hold your position and when to fold. Why "winning" a negotiation sometimes costs more than losing. How to structure offers the other side can't refuse. The exact math behind every pricing decision in your life.

This is what investment bankers use. What hedge fund managers use. What startup founders use to raise money. What CEOs use to run companies.

You can have it for free. In 1 hour. Tonight.
Or keep walking into negotiations unarmed.
↓

1 hour of Netflix tonight: you forget by Tuesday. 1 hour of Polak tonight: you negotiate differently for the next 40 years.

Same time. One is a distraction. The other is a compounding asset.
Save this post. Watch the lecture.

Follow @codewithimanshu for more high-signal content that actually changes the trajectory of your career.

[wisdomstudent @wisdomstudent1]

.

[Pascal Bornet @pascal_bornet]

“𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗮𝗯𝗼𝘂𝘁 𝗮𝗽𝗽𝘀… 𝗮𝗻𝗱 𝗶𝘁’𝘀 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗲𝗹𝘆 𝗻𝗼𝘁 𝗮𝗯𝗼𝘂𝘁 𝗽𝗿𝗼𝗺𝗽𝘁𝘀.”

This MIT lecture quietly does something most AI content never does.

It forces you to stop thinking about tools for a minute and ask a much harder question:
what is computation, really?

It starts like a normal lecture.

Then, before you know it, it is dismantling the way we talk about intelligence, learning, abstraction, and even what we think machines are doing when they “think.”

🎩 And just when you think MIT cannot get any more MIT…

the professor puts on a wizard hat and turns eval and apply into something that feels half computer science, half spell-casting.

Strange.
Brilliant.
Oddly unforgettable.

💡 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿?

Because too many people are building AI careers on surface-level fluency.

They know the tools.
They know the demos.
They know the buzzwords.

But the foundations?

That is often where the silence begins.

And that is risky.

We keep using labels that sound far more advanced than they really are:

→ Artificial intelligence is not truly intelligent
→ AI agents do not really have agency
→ Machines do not “learn” the way people imagine they do

That is why lectures like this matter so much.

They take you beneath the hype and back to the layer that actually lasts:

→ abstraction
→ evaluation
→ computation

To me, that is the real divide in AI now.

Some people are learning how to use the latest tools.

Others are learning how to understand what those tools are really doing.

The second group will build the future.

The first group will keep reposting it.

What do you think matters more in AI right now: mastering the tools, or understanding the foundations underneath them?

#AI #ArtificialIntelligence #ComputerScience #MIT #MachineLearning #Innovation #Technology #FutureOfWork #Learning