Boris Cherny, the creator of Claude Code at Anthropic, just explained how to write prompts that actually work
CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns all in one video and completely free
Regarding the OpenAI case, the judge & jury never actually ruled on the merits of the case, just on a calendar technicality.
There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question is WHEN they did it!
I will be filing an appeal with the Ninth Circuit, because creating a precedent to loot charities is incredibly destructive to charitable giving in America.
OpenAI was founded to benefit all of humanity.
David Rubin served as President of the Academy of Motion Picture Arts and Sciences from 2019 to 2022.
In 2020, under his leadership, the Academy launched the “Representation and Inclusion Standards” for Best Picture eligibility. These rules, still in effect, require films to meet at least 2 of 4 diversity criteria involving race, ethnicity, gender, sexual orientation, or disability in on-screen roles, creative leadership, or crew.
Rubin publicly backed the changes and helped appoint the task force co-led by producer DeVon Franklin.
He shifted the Oscars from “best movie wins” to race/gender engineering. A film can now be ineligible for the top prize purely for failing demographic quotas, regardless of quality or audience impact.
Instead of focusing purely on talent and storytelling, the Academy under Rubin institutionalized identity preferences.
Oscars prestige and viewership have tanked. Many see it as performative politics over art. Classics with non-diverse casts would be disqualified.
He helped install the DEI machinery that turned awards into checkboxes and accelerated Hollywood’s quality decline.
Elon Musk just put the entire university system on trial.
Not the curriculum. Not the professors. The premise.
Musk: “You don’t need college to learn stuff. Everything is available basically for free. You can learn anything you want for free.”
For a thousand years, universities held one monopoly. Access. You paid the toll or you stayed ignorant.
The internet erased that in a decade.
Every lecture. Every framework. Every textbook. Free. From any screen on Earth.
The six-figure tuition is no longer buying knowledge. It is buying a signal.
Musk: “There is a value that colleges have, which is seeing whether somebody can work hard at something, including a bunch of annoying homework assignments, and still do their homework assignments.”
That is the product. Not intelligence. Not creativity. Not vision. Compliance.
You are paying $200,000 to prove you can tolerate bureaucracy on a schedule.
Musk: “Colleges are basically for fun and to prove you can do your chores. But they’re not for learning.”
The entire system is a sorting machine for corporate HR. It does not measure what you can build. It measures whether you can sit still, follow directions, and deliver on command.
Four years of obedience dressed as education.
Musk: “If you’re trying to do something exceptional, you must have evidence of exceptional ability. I don’t consider going to college evidence of exceptional ability.”
The system optimizes for average. It rewards the compliant. It certifies the patient. It quietly filters out everyone who refuses to wait for permission.
The ones who reshaped the modern world never finished the test.
Musk: “Gates is a pretty smart guy, he dropped out. Jobs is pretty smart, he dropped out. Larry Ellison, smart guy, he dropped out.”
They did not drop out because it was too hard. They dropped out because the speed limit was too low.
The most dangerous thing a university does is convince a generational talent that finishing the syllabus is the achievement.
It is not. It is the floor.
A degree is a receipt for compliance. The future has never belonged to people who finish their homework. It belongs to the ones who never needed the assignment.
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This is way too fun! Follow and like if you appreciate this share. Keep adding lines to adjust the action in the image. Much better than doom scrolling as you will improve your skills at prompting. At least you will be exercising your own imagination. Keep it clean though!
Stop wasting hours trying to learn AI. 📘📚
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📹 Videos:
1. LLM Introduction: https://t.co/MfZHtEFSZC
2. LLMs from Scratch: https://t.co/kfPUVOpIxp
3. Agentic AI Overview (Stanford): https://t.co/YwfdVehhsO
4. Building and Evaluating Agents: https://t.co/6S8FGJRYbE
5. Building Effective Agents: https://t.co/pDTKM04SbE
6. Building Agents with MCP: https://t.co/5tXUZo9Xri
7. Building an Agent from Scratch: https://t.co/BtDWY0u0Du
8. Philo Agents: https://t.co/A4bj3gDOAg
🗂️ Repos
1. GenAI Agents: https://t.co/XbindjiOGu
2. Microsoft's AI Agents for Beginners: https://t.co/6Yaapil6AA
3. Prompt Engineering Guide: https://t.co/9JyzmoITLO
4. Hands-On Large Language Models: https://t.co/cuFS03HiXZ
5. AI Agents for Beginners: https://t.co/6Yaapil6AA
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/vDNcCdZ8Ni
8. Hands-On AI Engineering:https://t.co/GZs4q8rSYc
9. Awesome Generative AI Guide: https://t.co/EdJ1eGDF0m
10. Designing Machine Learning Systems: https://t.co/Nf1szfXGWK
11. Machine Learning for Beginners from Microsoft: https://t.co/gEdhvs78o3
12. LLM Course: https://t.co/4ISw9XBGWe
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/fQ64JT8Hru
2. Google's Agent Companion: https://t.co/NHt05sw0Sx
3. Building Effective Agents by Anthropic: https://t.co/VjaqhSl1jz.
4. Claude Code Best Agentic Coding practices: https://t.co/yBGMtyeWTg
5. OpenAI's Practical Guide to Building Agents: https://t.co/kmqQgcvvwL
📚Books:
1. Understanding Deep Learning: https://t.co/cgSSJ1U1d6
2. Building an LLM from Scratch: https://t.co/IUVA1tpJJ2
3. The LLM Engineering Handbook: https://t.co/G5HGLfTTq9
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/kehojr3v2p
5. Building Applications with AI Agents - Michael Albada: https://t.co/QHaJEitMMN
6. AI Agents with MCP - Kyle Stratis: https://t.co/POn6waJ2w7
7. AI Engineering: https://t.co/rU9HES8VEU
📜 Papers
1. ReAct: https://t.co/q4zflGWTVT
2. Generative Agents: https://t.co/GK5QswcPQ2.
3. Toolformer: https://t.co/mhDey5PGJL
4. Chain-of-Thought Prompting: https://t.co/3kwFbejFqA.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/jIyZzuScoQ
2. MCP with Anthropic: https://t.co/ph5cM4zgx1
3. Building Vector Databases with Pinecone: https://t.co/VtA6lSCaQd
4. Vector Databases from Embeddings to Apps: https://t.co/mr9rePzbc3
5. Agent Memory: https://t.co/hjWM88dY2h
Repost for your network ♻️