Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%:
0% → 1:45 - LLM from scratch - that made Google
30% → 17:22 - how to actually use AI models
65% → 30:03 - prompt engineering
100% → 52:35 - one human coordinating 100 agents
this is 27 years of AI in Google compressed into one hour, by the person who lived it
watch it today - then read how to build graphs in the article below ↓
Mississippi officials say a fake toxicology report about Nolan Xavier Wells has been circulating online, while the official report has not yet been publicly released. Misinformation only deepens this grieving family's pain. We must remain focused on the facts and ensure Nolan’s family receives the truth they have been waiting for. https://t.co/vm8LWJEXi0
This brother @isaiahrmartin putting on a CLINIC on how to force MAGA to defend their dumb talking points. STOP letting them get away with it.
"What do you mean 'Open Border' policy?"
He stood on business, did not let go.
THIS. IS. HOW. IT'S. DONE.🔥🔥
A fully masked ICE agent pepper sprayed a woman in New York yesterday merely for videotaping
He approached her. She was standing still. That guy needs jail time.
If this goes viral, the city will seek charges.
Korry is 17 years old and he just scored a perfect 1600 on the SAT. Fewer than 0.05% of all test takers ever reach that score. His mother said it best. In a world where it can go a different way for a young Black male, it's refreshing to see him celebrated. Korry wants to study engineering at Yale and then go to law school. The sky holds no limit for this young king! 👏🏿
Working hard on CCNA, particularly for the V1.1 blueprint? You'll definitely want to catch @hfpreston and @PatrickGargano for their next two CCNA Prep episodes, coming up in August. Always useful, frequently entertaining! :-)
THIS GUY MAKES COMPLEX AI AGENT CONCEPTS RIDICULOUSLY EASY TO UNDERSTAND.
No jargon wall. No assuming you already know what a reward model or an evaluation harness is.
Just a straight line from "I have no idea how agents actually work" to "oh, that's genuinely simple."
The best explainers do not simplify by cutting corners. They simplify by finding the one analogy that makes the whole thing click.
Dr. Ike Prentiss didn't just join All Saints he changed the entire show. Morris Chestnut's arrival as the tough, no-filter war vet brought a new intensity, straight talk, and leadership that shifted Nurse Jackie forever.
Essential Python Libraries Every Developer Should Know 🐍
Python has a rich ecosystem of libraries that simplify everything from data analysis to AI. Choosing the right library depends on the problem you're solving. Here's a quick overview of the major categories shown in the infographic:
1. Data Manipulation: Libraries like Pandas, Polars, CuPy, and Modin help clean, transform, and process structured data efficiently. These are the foundation of most data projects.
2. Data Visualization: Matplotlib, Seaborn, Plotly, Bokeh, and Altair turn raw data into meaningful charts and interactive dashboards for analysis and reporting.
3. Statistical Analysis: SciPy, Statsmodels, PyMC, and related libraries provide statistical tests, probability models, optimization, and scientific computing.
4. Machine Learning: Scikit-learn is ideal for classical ML, while TensorFlow, Keras, JAX, and XGBoost are widely used for deep learning and high-performance AI applications.
5. Natural Language Processing (NLP): NLTK, spaCy, TextBlob, and BERT help build applications for sentiment analysis, text classification, translation, chatbots, and language understanding.
6. Big Data & Distributed Computing: PySpark, Ray, Dask, Kafka, and Hadoop process massive datasets across multiple machines, making them essential for large-scale analytics.
7. Time Series Analysis: Prophet, Darts, sktime, and tsfresh are designed for forecasting trends, anomaly detection, and feature extraction from time-based data.
8. Web Scraping: BeautifulSoup, Scrapy, Selenium, and Octoparse automate data collection from websites, making them useful for research, price monitoring, and data gathering.
CLAUDE + OBSIDIAN = A SELF-IMPROVING SECOND BRAIN WITH UNLIMITED MEMORY
If you’re using Claude Code with Obsidian, you’ve probably run into one of two problems: either Claude forgets everything between chats, or it creates files that don’t work properly in your Obsidian vault
In this video, the creator showcases three GitHub repositories that solve both issues and turn Obsidian into a true second brain that gets smarter over time
> Obsidian Mind - Instead of loading your entire vault into the context, Claude intelligently retrieves only the notes that are actually relevant to your current task
> Obsidian Skills (created by Obsidian’s CEO) - Teaches Claude the correct file formats and note structure, so everything it creates fits seamlessly into your vault. No more broken notes or formatting issues
> Obsidian Second Brain - This is where things get really interesting. Claude can save new discoveries, update existing notes, create links between them, and keep your entire Obsidian vault organized and up to date in the background - even while you’re away
The result is a memory system that continuously improves itself. Your second brain literally gets smarter while you sleep.
Best of all, it’s completely free and open source
If you’re new to the idea of a second brain, I’ve explained everything in much more detail in the article linked below
🚀 Want to master AI in 2026 without spending a dime?
Anthropic has released some incredible FREE courses covering AI fundamentals, Claude, agents, APIs, MCP, and much more.
📚 TOP FREE AI COURSES TO TRY IN 2026:
✅ AI Fluency: Frameworks & Foundations
🔗 https://t.co/sLsPaJLSNU...
✅ Introduction to Agent Skills
🔗 https://t.co/yOll5Po9el...
✅ Building with the Claude API
🔗 https://t.co/zrdNBPAtWP...
✅ Claude Code in Action
🔗 https://t.co/aabHd5ktnd...
✅ Intro to Model Context Protocol (MCP)
🔗 https://t.co/yOll5Po9el...
✅ MCP: Advanced Topics
🔗 https://t.co/3GxdedIO6y...
✅ AI Fluency for Students
🔗 https://t.co/qH9zncs600...
✅ AI Fluency for Educators
🔗 https://t.co/qH9zncs600...
✅ Teaching AI Fluency
🔗 https://t.co/y7lr1OnBSw...
✅ AI Fluency for Nonprofits
🔗 https://t.co/qH9zncs600...
✅ Claude with Amazon Bedrock
🔗 https://t.co/kHII0Nvd0F...
✅ Claude with Google Cloud's Vertex AI
🔗 https://t.co/XXmOvmEk1A...
💡 Whether you're a student, developer, educator, or creator, these courses can help you understand and build with AI.
📌 Save this post and start learning today.
Follow @mahim_aibrief for more AI ideas, tools, and resources. 🔥
NVIDIA CEO, Jensen Huang:
"Nobody writes prompts anymore. The new job is to write and handle loops."
This is the shift that's going to define the rest of 2026.
53 minutes of pure insight from one of the richest men on earth.
Watch it, then read the full guide on how to actually use loops below.
i'm sorry, Claude can WHAT?
it can take your website link, find people who need your product, email them and book the calls?
since when?? i've been doing this by hand for a YEAR.
ok. testing it: $30 free 👇
https://t.co/HJnxherchf
THIS DEVELOPER REWIRED CLAUDE CODE INTO A 6-AGENT WORKFORCE THAT OPERATES HIS ENTIRE BUSINESS WHILE HE SLEEPS.
Claude Code is an incredible instrument, but it still requires a human to hold and direct it. The system visualized here, named "Zero", completely removes the human driver from the equation.
The architecture functions as a synchronized company of six independent agents running parallel jobs on their own schedule. Instead of simply editing text files, Zero is hardwired directly into 32 different business tools. It possesses full read and write access to the CRM, the company finances, the email inbox, and the open web.
Zero transcends simple code generation. It actively operates the company infrastructure.
The ultimate leverage of this system is its persistent memory matrix. Standard language models lose context the moment a project ends.
Zero retains a permanent, compounding understanding of both the founder and the entire business model. Every piece of context is saved permanently, meaning the system never asks the same question twice.
The era of typing prompts into a text box is over. You are now deploying a continuous digital workforce that runs your operations autonomously in the background.
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture, which will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
2 hours. 0 lines of code. From an empty folder to a live app:
00:00 - vibe coding from zero: what you actually type by hand
19:02 - plan and document the build before you touch code
43:05 - wire a real AI API into your app
1:01:45 - hand the build to Claude Code and let it ship
1:20:23 - push the whole thing live on the web
These 2 free hours will replace 10 paid vibe-coding courses.
The model was never the moat. The setup is.
Watch today, then read the article above.