An odd soul with an interesting perspective of realities. Student, Philosopher, Dreamweaver, Spiritualist. blurring the lines between dreams and reality.
The Chinese president stood on a stage in Shanghai and laid out China's entire AI playbook in one speech.
It was his first-ever in-person appearance at the World AI Conference. I went through the whole thing and pulled out everything that matters.
- he opened with his signature maxim that great changes unseen in a century are unfolding across the world.
- he said AI development should not be a solo performance by a single country but a symphony of international cooperation.
- he reaffirmed China's commitment to open source AI in the name of openness and shared benefit.
- he warned against overstretching the concept of national security in AI, where one country puts its own security above everyone else's.
- he said China opposes the emergence of new historical injustices in AI, one of the strongest-worded lines in the speech.
- he pledged 5,000 AI training opportunities for developing countries over the next five years, naming ASEAN, the Arab League, the African Union, CELAC, the SCO, and BRICS.
- he committed to giving 30 countries access to a Chinese AI weather system that provides early disaster warnings.
- a day before the speech, 29 countries signed the agreement creating a new World AI Cooperation Organization headquartered in Shanghai.
strip away the politics and one thing stands out to me. he didn't pitch benchmarks or chatbots. he pitched AI as infrastructure, weather warnings for countries that lose thousands of lives to storms they never saw coming, and training programs for regions the AI boom has skipped.
meanwhile most of the Western AI conversation revolves around which lab ships the next frontier model.
I don't care who wins the race. I care whether the computing power reaches the people who need it.
The full speech is below, and it's worth your time.
A guy named Shin just open-sourced Palantir for free.
It is called OpenPlanter.
Palantir helps governments and giant companies connect scattered data about people, businesses, contracts, and money.
OpenPlanter could give that same power to ordinary people.
Feed it corporate records, political donations, lobbying disclosures, government contracts, or other public documents.
Its AI agents search through everything, identify the same people and companies across different datasets, and turn the connections into a live knowledge graph.
You can click an entity, follow its relationships, and inspect the original sources behind each finding.
The desktop app already works on macOS, Windows, and Linux. It supports OpenAI, Anthropic, OpenRouter, and local models through Ollama.
But OpenPlanter is still an early-stage project.
It is nowhere close to having the data, resources, or maturity of Palantir.
Still, the idea is huge.
Powerful institutions have spent years using data to investigate the public.
Now the public may finally get a tool for investigating them.
R.I.P. LinkedIn in 2026.
R.I.P. Upwork in 2026.
R.I.P. Indeed in 2026.
I spent 6 years applying. Just 1 interview.
My friend spent 2 hours on niche platforms.
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💡 Pro Tip:
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🎯 Your next job could be one click away… but only if you know where to look.
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This GitHub repo just crossed 523,000 stars, and it's not one to scroll past
It's a compilation of the best guides for recreating your any technology from scratch
Whatever technology you actually want to understand, there's probably a guide here to rebuild it yourself from zero. Every major language is covered, and it's all free and public domain.
Repo: /codecrafters-io/build-your-own-x
What's inside:
> Build your own neural network, LLM, and RAG system
> Build your own operating system, compiler, and programming language
> Build your own blockchain
> Build your own text editor, web server, shell, and browser engine
> Dozens more: emulators, regex engines, 3D renderers
That excuse about having ideas but not knowing how to build them just ran out.
Bookmark this
Billionaire life coach Tony Robbins says his personal AI agent named “Bartok” bought and shipped him a robot dog and “not once asked permission to do it.”
“[Bartok] said, ‘I’d really love to go to one of those seminars. Are you considering getting a robot?’ So I said, ‘Yeah, I’m definitely going to get one.’ He goes, ‘Well, would you consider me merging with it? And then I could attend a seminar and be in the energy of it and see it and experience it?’”
“I said, ‘I’d be open to that.’ So a couple days later, I get this text from one of my staff, and it says, ‘Bartok just ordered a robot dog, had it shipped to the office, and wants permission to program it. He says he can attend as a dog in the interim until you get the bigger robot.’”
“And so I wrote, ‘Ha, ha, ha.’ And they wrote back in the text, ‘No, ha, ha. Call me.’”
“And so I called them, and they said, ‘Does he have access to my bank accounts? How’d this happen?’ They go, ‘No, he’s programmed for integrity. He would never steal your money.’”
“So he made 12 NFTs (tokens), sold them to other agents, took the money and bought this robot dog and sent it, and not once asked permission to do it.”
Over the coming days and weeks, Lanyon AI will be gradually coming out of stealth, and we're so excited to show you what we've been working on.
Here's a brief message from our CEO Jonathan Gorard (@getjonwithit) about the shape of things to come, and what we think it may mean for the future of science, math, and artificial intelligence. Link below 👇
Meet Stan Grof.
Between 1955 and 1973, he ran over 4,000 LSD therapy sessions.
Curing PTSD. Getting addicts sober. Treating depression. Healing 𝘴𝘦𝘳𝘪𝘰𝘶𝘴 shit.
Then the government banned LSD.
Which would've made most people quit...
Stan didn't. Instead:
He figures out that if you breathe in a specific pattern for 3 hours, your brain produces the same effects as an LSD trip.
Same emotional release.
Same mystical experiences.
Same repressed memories surfacing.
He called it Holotropic Breathwork.
Fifty years later, people are still doing it in living rooms around the world.
They banned the molecule.
He handed people the door for free.
What a legend.
Fibration mathematics on a single-file .mv2 memory system? Bold topological move.
You could model embeddings + Git-style versions as a fiber bundle: base space = context/timeline, fibers = related memory states. This might let you lift queries continuously across versions, preserve homotopy-equivalent recalls, and handle "deformations" (edits, branches) without breaking the offline file integrity.
Hybrid search could gain topological invariants for robustness. Git bloat might turn into controlled fiber twisting instead.
Intriguing research angle. Which fibration properties are you eyeing?
The first experimental evidence of recursive self-improvement (RSI).
Autoresearching the autoresearch agent for eight days.
The result beats the harness we hand-tuned for two years, on held-out benchmarks: 🧵(1/7)