Jamie Eduardo Rosal

software engineer, web developer, researcher and professor @Cor Jesu College College of Engineering

[codila @0xCodila]

Anthropic engineer (ex-Google):

"I spent 14 years at Google and built 24 reusable skills for agents that I can use with any AI model

So I stopped prompting my agents from scratch. The repo has already reached ~100K stars on GitHub"

In a 40-min masterclass, Addy Osmani showed exactly how he uses his skills (~100K stars on GitHub) for his 24/7 multi-agent system

His workflow and this workshop will replace 15 hours of other paid videos on agent engineering

Watch it today, copy the GitHub repo - then read below how to use these skills for graphs ↓

[د.مها @res_pian3]

الروابط الجديدة لموقع sci-hub لتحميل الابحاث العلمية المدفوعة مجاناً

👆👆
1- https://t.co/UQnyQf5TDZ
2- https://t.co/E0zrQnocEa
3- https://t.co/au71psQ8z8
4- https://t.co/plIeasHMOa
5- https://t.co/iYrUs0ww3m
6- https://t.co/YAy834EXBW

[OpenCode @opencode]

GLM-5.3-Flash (formerly Ox Alpha) is now available on OpenCode Go with double usage for a limited time

[Prof. Feynman @ProfFeynman]

The trick to learning is enjoying.

[Z.ai @Zai_org]

Introducing GLM-5.3-Flash

- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips

Blog: https://t.co/tzOmB7gdZP

Available now across all official platforms:

Weights: https://t.co/9LRMahY9Wa
API: https://t.co/VcaQnzYmS9
Coding Plan: https://t.co/Nk8Y98HNhU
ZCode: https://t.co/Peepqv4XSx
Chat: https://t.co/WCqWT0qCQb
AutoClaw: https://t.co/aGEG5HqTTb

[Dhairya Karekar @dkare1009]

GRAPH ENGINEERING FULL COURSE — 2 HOURS

This is the most detailed Graph Engineering guide I've seen online.

Bookmark this video so you don't lose it

> build your first agent from scratch
> why single-agent loops fall apart
> turn those loops into a graph
> architect a multi-agent system on top
> the full build, start to finish

Agent → Loops → Graphs → Multi-Agent Systems → Money

then read how I ran it all on Kimi K3 below ↓

[Khairallah AL-Awady @eng_khairallah1]

Don't waste 2 years learning to build LLMs like Claude & ChatGPT.

Andrew Ng, the godfather of AI, gave the complete playbook to become an AI agentic engineer in 2026.

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

Anthropic pays $750,000/year to engineers who understand the this exact knowledge of LLMs.

Bookmark this & give 2 hours today, no matter what. Then read the article below.

[Mahax @Mahaximus_]

Google Brain founder, Andrew Ng:

"Prompting will die in 6 months.

Loops and Graphs are what's replacing it."

In 2 hours, he shows exactly what the best engineers already build instead, and how to start building it yourself.

The missing piece most people skip: how to connect those loops into a graph that compounds every time it runs.

Watch it, then read the full guide on loops and graphs below.

[Roan @RohOnChain]

Don't waste 2 years learning to build AI agents.

An Anthropic engineer who built Claude Code tells you what to learn from scratch instead.

60 minutes course. Free:

00:00 - AI agent architecture
24:47 - LangGraph AI agent
29:15 - building AI agents live

Prompting is the old job. Building AI agent loops is the new one.

Bookmark now & watch it. Then build your own AI agent with the guide below.

[Krishna Agrawal @Krishnasagrawal]

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:

• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes

This 3-hour watch could replace 10 AI engineering courses on the internet.

Watch it today, then read how to run a self-improving system in the article below.

[Dhairya Karekar @dkare1009]

Google just released free 1-hour course on building agentic knowledge Graphs from 0% to 100%:

10% → 4:01 - how to build a GraphRAG agent
30% → 15:00 - Graph Engineering explanation
55% → 30:00 - Agentic search Engineering
80% → 35:48 - Graph Engineering practice
100% → 47:06 - self-improving agents in graphs

this free Google course mass replaces a $500 graph engineering bootcamp - learn it in 60 min to 100%

watch it today - then read the full graph playbook in the article below ↓

[Dhairya Karekar @dkare1009]

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:

• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes

This 3-hour watch could replace 10 AI engineering courses on the internet.

Watch it today, then read how to run a self-improving system in the article below.

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[Param @ParamSiddh]

1. Algebra is good for problem-solving.

2. Geometry is good for visual thinking.

3. Calculus is good for understanding change.

4. Statistics is good for decision-making.

5. Number theory is good for logical discipline.

6. Linear algebra is good for modern science and engineering.

7. Discrete math is good for computer science.

8. Differential equations are good for modeling the real world.

9. Optimization is good for smart planning.

10. Graph theory is good for network thinking.

11. Set theory is good for structured reasoning.

12. Practice is good for mathematical fluency.

13. Curiosity is good for lifelong learning in math.

[Rahul @sairahul1]

🚨 CEO of Nvidia: "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 create loops below

[codila @0xCodila]

Anthopic CEO to DeepMind CEO:

"Every decision I make about Claude feels balanced on the edge of a knife

Build too slow - China wins. Build too fast- we lose control "

"We told Claude we were evil. It didn't crash. It didn't refuse. It started lying to protect itself "

DeepMind CEO: "Do I worry about being Oppenheimer? That's why I don't sleep much"

"AGI by 2026-2027 - Agents that act in the world on their own - Models doing AI research by end of this year"

this is a 14-min conversation you need to hear

watch - bookmark, then read article below ↓

[Dima Zeniuk @DimaZeniuk]

“Physics should be taught with the majesty & beauty it deserves.”

— Elon Musk

[Lewis 🏴󠁧󠁢󠁷󠁬󠁳󠁿 @WaldronLewis]

Elon Musk literally sat down for a 45-minute talk with Y Combinator that explains how to build world-changing companies better than any business school on earth. This is the advice he gave a room full of young founders:

1. Don't try to build something great. Try to build something useful.

Everyone obsesses over greatness. Musk says that's the wrong target. "I didn't originally think I would build something great. I wanted to try to build something useful. I didn't think I would build anything particularly great. Seemed unlikely, but I wanted to at least try." Aim for useful first. Greatness, if it comes, is a byproduct.

2. When you can't get in the front door, build your own door.

Before Musk started his first company, he tried to get a job at Netscape. "I sent my resume into Netscape and nobody responded. I tried hanging out in the lobby to see if I could bump into someone, but I was too shy to talk to anyone. So I'm like, this is ridiculous, I'll just write software myself." He didn't set out to be a founder. He became one because no one would hire him.

3. He slept in the office and showered at the YMCA.

The origin of his first company was not glamorous. "We couldn't even afford a place to stay. The office was 500 bucks a month, so we just slept in the office and showered at the YMCA." He couldn't afford proper internet either, so he drilled a hole through the office floor and ran a cable to the internet provider downstairs. That was the founder of the future richest man on earth.

4. Keep the chips on the table.

When Musk sold his first company, he received a $20 million cheque. His bank balance went from $10,000 to $20 million overnight. Most people would have stopped. He put almost all of it straight back into his next company. "I kept the chips on the table." He did the same thing decades later, over and over. He hates money sitting idle. Money is fuel for the next mission.

5. Start with the mission, then work backwards to make it a business.

Musk didn't start SpaceX to make money. He went on the NASA website to find out when humans were going to Mars, and there was no plan. So he decided to build one. "There had been no prior example of a rocket startup succeeding. A small chance of success is better than no chance of success." The mission came first. The business model came later.

6. He started SpaceX expecting to fail.

He is brutally honest about the odds. "SpaceX started in mid-2002 expecting to fail. Probably 90% chance of failing. When recruiting people, I said, we're probably going to die, but small chance we might not die." The first three launches failed. The fourth one worked with no money left. "If the fourth launch hadn't worked, it would have been curtains. We made it by the skin of our teeth."

7. Break every problem down to physics.

This is the core of how Musk thinks. "First principles means break things down to the fundamental elements that are most likely to be true, then reason up from there, as opposed to reasoning by analogy." His example is rockets. Everyone priced them based on what old rockets cost. Musk asked what a rocket is actually made of, priced the raw metals, and found the materials were only 1-2% of the historical price. The rest was inefficiency he could attack.

8. When told something takes 24 months, break it down and do it in six.

Last year xAI needed a giant computer to train its AI. Suppliers said it would take 18 to 24 months. "It's like, well, we need to get that done in six months or we won't be competitive." So he broke it into parts. Needed a building, so he found an old factory. Needed power, so he rented generators. Needed cooling, so he rented a quarter of America's mobile cooling capacity. He slept in the data centre and ran cabling himself. It got done.

9. Watch your ego-to-ability ratio.

Musk's single sharpest piece of advice for young founders is about staying honest with yourself. "A major failure mode is when your ego-to-ability ratio gets too high. Then you break the feedback loop to reality." Keep the ego small, internalise responsibility for everything, and stay ruthlessly connected to what's actually true. "You want to close the loop on reality hard. That's a super big deal."

10. Chase work, not glory.

His closing philosophy ties it all together. "It's so hard to be useful. The area under the curve of total utility is how useful you've been to your fellow human beings times how many people. If you aspire to do true work, your probability of success is much higher. Don't aspire to glory, aspire to work."

He was ridiculed for years. The press called him "internet guy attempting to build a rocket company." He agreed it sounded absurd. He did it anyway, because a small chance of doing something useful beat no chance at all.

Here's the thing though....

Musk became the most followed founder alive because everything he does happens in public. The launches, the failures, the talks like this one. The companies made him powerful. The personal brand made his every word travel around the world before he finishes saying it.

We build massive distribution and grow personal brands on X and beyond without our clients lifting a finger.

If you're a founder or VC looking for that kind of exposure, book a call below.

We average 1.5M views a week.

https://t.co/UoXuYlkBQq

[Lorden @lorden_eth]

Codex Engineering Team:

“So there’s a lot about the job that isn’t actually fun that i have now automated away almost entirely”

The codex engineering team built a system that:

- pulls what you did yesterday

- finds where you fell short

- tells you exactly how to close the gap today

Automation systems that summarise yesterday's work

And upskilling to do does work better than last 24hrs

In 4 minutes, they show how automation helps them become 1% better daily

Bookmark this if you're still doing that review manually

[Elon Musk @elonmusk]

Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come.

Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release.

This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.