For people who don’t have a clear sense of the future they want, AI is just another mechanism of control
But in the hands of someone with agency, AI is the breaker of chains, something that lets you do things no humans can do alone.
AI can be a liberator if you choose agency.
Unreal Engine 5.8 ships today with experimental MCP server support:
Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together: https://t.co/cDITLWWv2F
This 18-minute MrBeast breakdown will teach you more about getting views, growing on YouTube, and going viral than most creators learn in years.
Bookmark it and give it 18 minutes today, no matter what.
We built an AI that can draw on your screen.
It's a true personal tutor.
Using Claude Opus we're able to draw polygons, point with pixel perfect accuracy, and walk users through complex steps directly on their screen.
Here's me learning Pythagorean Theorem + FL Studio.
Demo:
This is why smart people rarely build businesses
Jensen Huang stood in front of a room of Stanford graduates and told them he hopes they suffer.
He wasn't being cruel. He was being precise.
His argument: people with very high expectations have very low resilience. And resilience, not intelligence, is what decides who actually makes it. A Stanford grad has spent their whole life as the smartest person in the room. They've rarely been tested by real failure. So when something finally breaks, they break with it.
Then he said the line every founder should sit with: "Greatness is not intelligence. Greatness comes from character. And character isn't formed out of smart people, it's formed out of people who suffered."
He would know. At nine, Huang was scrubbing toilets at a Kentucky boarding school his family hadn't realized was a reform school. As a teenager he bussed tables at Denny's. In 1993 he started NVIDIA in a Denny's booth, and nearly lost it more than once in the years that followed. The character was built decades before the valuation showed up.
This is why he uses the words "pain and suffering" inside NVIDIA with what he calls great glee. He isn't trying to shield his best people from the hard part. He's trying to give it to them on purpose.
Talent gets you into the room. The people who stay are the ones who were broken once and learned they could rebuild.
A robotic phone farm with rigs that continuously tap, swipe, and scroll through short videos. The system simulates human activity around the clock, generating artificial views, watch time, likes, and other engagement signals.
Elite admissions select for one trait: getting the known answer faster than anyone else. 18 years of optimizing against an answer key someone already wrote.
AI just made the answer key free. Everyone has it instantly now.
So the kids trained hardest to win spent their whole lives mastering the one thing that's now a commodity. The premium moved to the questions with no answer key yet.
We need a new training.
The new training is about one thing:
How to be the first person standing in a new land, exploring it, preparing it for the coming billion people who will need it. The future will be built by these people.
And there is a lot to build.
In AI most people are still trying to use old maps on a new territory.
Throw the maps away. It's time to draw new ones. The only way you can do it is walking the land.
Subscription plans are massively subsidized.
And by massively, I mean absurdly:
Claude Max 20x: $200/month, with usage reportedly worth around $8,000
ChatGPT Pro 20x: $200/month, with usage reportedly worth around $14,000
🚨 ANOTHER MASTERCLASS FROM @3BLUE1BROWN
The compressibility of language isn’t just a math curiosity, it’s the hidden engine behind every LLM you use.
Grant’s new video reframes Shannon’s entropy through one elegant lens:
Prediction IS compression.
→ The better you predict the next word, the fewer bits you need to store it
→ Shannon measured English at ~1 bit per character: astonishingly compressible
→ This is exactly what GPT-style models optimize
→ Intelligence, in this framing, is compression
FUN FACT: Von Neumann told Shannon to name it “entropy” because nobody truly understands it anyway 😄
Decades later, that same concept became the bedrock of modern AI.
Deep-dive resources in the 🧵 ↓
Step-By-Step LLM Engineering Projects Roadmap
- Build a tokenizer
- Learn embeddings
- Implement RoPE / ALiBi
- Hand-wire attention
- Build MHA
- Build a Transformer block
- Train a mini-former
- Compare objectives
- Build sampling
- Speculative decoding
- KV cache
- MQA / GQA / MLA
- Long context
- FlashAttention
- Hardware budgets
- Toy MoE
- Sparse model trade-offs
- State-space / linear attention
- Diffusion language models
- Data pipelines
- Synthetic data
- Scaling laws
- SFT / DPO / RLHF / GRPO
- Quantization
- Serving stacks
- Eval harnesses
- RAG
- Tool use / agents
- Vision-language adapters
- Interpretability
- Red-team suite
- Full capstone model system
One request:
Choose an Opensource AI lab when you make it
Opensource is where humanity gets to keep the tools
DM me when you've made it ;)
Building https://t.co/iN0C38bpNJ with some fellow volunteers as a non-profit civic technology platform designed to legitimize public policy discourse online. Hmu if you're curious or would like to help :)