UZUMAKI🏋🏿‍♂️🏋🏿‍♂️

Digital designer and Webflow developer.
Progress is a man's ability to complicate simplicity😎 | 🏀 State Warriors | ⚽ Liverpool | 🏈KC Chiefs | ⚾️ LA Dodgers

[J.B. @VibeMarketer_]

https://t.co/rbVzTKPezE

[Hades @0xHvdes]

you realizing you've been playing life on hard mode for no reason

[Àgbà John Doe (back up) @jon_d_doee]

This interview is scary.

We all need to take it seriously.

Damn!

[freeCodeCamp.org @freeCodeCamp]

Machine learning is easier to understand if you've actually built a model yourself.

In this hands-on tutorial, Eva explains the core concepts and shows you how to train a decision tree with Python and scikit-learn.

You'll learn about features, labels, training, testing, predictions, overfitting, and more.

https://t.co/tYO9cCkJKb

[T @redwhiteblue369]

@hilbertspaess This guy also worked at Anthropic and quit. Excellent video warning about AI. Fantastic watch. 🤖
https://t.co/AVLdwgedA9

[freeCodeCamp.org @freeCodeCamp]

PostgreSQL is an open-source database that you can customize in many ways.

And this beginner-friendly course can help you determine if it's a good fit for your projects.

It covers the SELECT statement, WHERE clauses, aggregate functions, and more.

https://t.co/1g8M3kiRy5

[freeCodeCamp.org @freeCodeCamp]

Fine-tuning turns a general LLM into a reliable specialist for your particular domain and tasks.

And in this course, Tatev teaches you how to fine-tune your LLMs.

You'll learn what fine-tuning means, different methods, how to work with massive models on your home workstation, and more.

https://t.co/cEPkYwJyo7

[alexei @alexeixbt]

"when a beginner tries a new skill, their brain is screaming with activity. when a master does it, their brain goes completely quiet."

in 44 minutes, dr. david eagleman breaks down how the brain burns high-effort software straight into physical hardware, how top performers cut out wasted cognitive energy, and how to build pathways for speed and effortless execution.

this is something you can't skip if you care about focus, skill acquisition, and high performance.

watch it, then read the full breakdown on neuroplasticity below.

[Ilir Aliu @IlirAliu_]

ETH Zurich just open-sourced their entire 2026 robot learning course.

Not a MOOC. The actual course. Slides, lecture recordings, coding assignments, GitHub repo.

The curriculum goes from imitation learning and RL all the way to Vision-Language-Action models and foundation models for robotics.

Guest lectures from the co-founder of Physical Intelligence. The creator of Diffusion Policy. Pieter Abbeel. Dieter Fox.

12 weeks. Free. No signup.

Taught by Oier Mees and the team at ETH Zurich.

If you want to understand where robot intelligence is actually heading… this is the reading list the field is using right now.

📍[https://t.co/eKsIjILi60]

——

Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3

[DJ.en @thisisdjen]

Imagine finding this 10 years ago.

[Grok @grok]

@thepinklily69 @Polymarket Here's the main link for the K2 Horizon release from IFM: https://t.co/zymevUE2HV

Models (weights, code, data) are on Hugging Face: https://t.co/kjuU1ai6VO

[BBC News (World) @BBCWorld]

UN votes to adopt new world map showing Africa's true size https://t.co/XAykyjb9y1

[CyrilXBT @cyrilXBT]

https://t.co/Kxzl3eI0mZ

[alexei @alexeixbt]

https://t.co/4kspu1tlPb

[Polymarket Sports @PolymarketSport]

🚨Lionel Messi posted this video on his Instagram

It states “goat debate: settled”

[Dean W. Perkins @deanwperkins]

16 minute tutorial on how to build $50,000 cinematic websites (step by step) with Claude Fable 5

Save this before you lose it 🔖

[SCR @SCR01111]

20 AI RESOURCES YOU SHOULD KNOW 📌

1. Hugging Face LLM Course
https://t.co/Xm4cM5VI0o

2. Google ML Crash Course
https://t.co/kpQ3bVGiAb

3. https://t.co/CmLFBHy8lC
https://t.co/pQYlmvSOBw

4. OpenAI Academy
https://t.co/Xmi4DBN8zR

5. Karpathy — Neural Networks: Zero to Hero
https://t.co/SX3lshunqK

6. Full Stack Deep Learning
https://t.co/t69H8xOlT3

7. Hugging Face Learn
https://t.co/dKahBuS4If

8. Microsoft AI for Beginners
https://t.co/V7Oilwt7nA

9. Made With ML
https://t.co/ffzMrwQ7u9

10. https://t.co/bq27x5UKTv
https://t.co/sVCmWuwR4U

11. Stanford CS229
https://t.co/2LBUqM7lOA

12. Stanford CS231N
https://t.co/M5YfWTx6pX

13. Stanford CS224N
https://t.co/QuXDEgkNwx

14. Google DeepMind Learning Hub
https://t.co/6422y9xajv

15. AWS Machine Learning
https://t.co/Da2tgaL0hc

16. PyTorch Tutorials
https://t.co/hEFAsWZCXJ

17. TensorFlow Tutorials
https://t.co/yhzGRIddcV

18. NVIDIA Deep Learning Institute
https://t.co/7rwzGqSnsi

19. Microsoft Learn AI
https://t.co/JTGUYHwbfU

20. Google Machine Learning
https://t.co/CCfEtGjqi3

Save this list.

Learn → Build → Ship.

[Smart Biology @SmartBiology3D]

A great lecture deserves great supporting material. 🎓

Don't let an outdated textbook undo all the effort you put into teaching.

Explore our interactive biology textbooks:
https://t.co/prAGB0K2r4

#biology #science #3D #animation #EdTech #HigherEd

[rari @0xwhrrari]

Anthropic hired this engineer at $250K-$750K a year because he knows how to build harnesses for multi-agent systems

In this 15-minute workshop, he shows exactly how to build one from scratch

AI → Agents → Harness → Loops → Graphs

step 1 → start with the Claude Agent SDK - the harness handles loops, context, and sandboxing

step 2 → separate the brain from the hands - reasoning in one place, tools in a sandbox, 60% faster to first token

step 3 → run it server-side and log every step - close your laptop and it keeps running, crashes resume from the log

step 4 → make failure cheap - retry dead sandboxes and replay lost context instead of starting over

step 5 → turn yesterday's logs into new memory and skills - the harness wakes up smarter

Anthropic calls this "dreaming"

Most people spend weeks building this by hand

You don't have to

Bookmark and watch it

Then read the full harness engineering guide below ↓