Mark Cuban on the next job wave:
"Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them..."
The answer is people who know how to fine-tune small LLMs on private data.
Not prompting. Not API wrappers.
Actual custom models trained on your business.
And almost nobody knows how to do it yet.
This is the complete guide ↓
Bookmark this. This is the one.
Prediction: within 12 months, top three models will be open source.
Economic winners will be the American clouds that serve them:
Nebius
Iren
Baseten
Together
Fireworks
Full Claude Course
Master Claude to automate repetitive tasks, build apps without coding, create real portfolio projects, and become more valuable at work.
50 legendary internet rabbit holes you can spend hours exploring 📩
1. https://t.co/b5SBLaGQV1 — Watch the world via live satellite imagery
2. https://t.co/jnwTMhag7e — See every plane currently in the sky
3. https://t.co/xHa80uDH1m — Track all ships at sea in real time
4. https://t.co/FGDaeaU5Em — Live map of winds and storms
5. https://t.co/eIDu7R4sy8 — Watch lightning strikes hitting Earth in real time
6. https://t.co/6rFSF1zrpO — Live list of recent earthquakes
7. https://t.co/CGYZQkebbi — Ocean cables carrying the internet
8. https://t.co/OppV29C4rR — Watch forests disappear from space
9. https://t.co/rHyVpqRz5p — The world's statistics, second by second
10. https://t.co/TaF47T5vCB — Current number of tweets and searches being posted
11. https://t.co/Rf2bSlBRwi — Compare the true sizes of countries
12. https://t.co/04wu7wmWBu — Maps from centuries ago
13. https://t.co/gTK4w8An33 — Archive of 150,000 historical maps
14. https://t.co/jAWtbO5WPd — World map drawn by volunteers
15. https://t.co/cxjImE6EZL — Look out the window of a random person around the world
16. https://t.co/1CjzYKCTzf — Virtual walks through cities
17. https://t.co/uNIPhnwR7t — Teleport to a random spot on Earth
18. https://t.co/NdnjpfPZrO — Catalog of the world's strangest places
19. https://t.co/kd2y0XYh5q — Interactive knowledge experiences
20. https://t.co/F7ugSoBTVs — Scale journey from atom to universe (Updated HTML5 link)
21. https://t.co/HPDMmYnN0p — Explore the solar system in 3D
22. https://t.co/ufusbFtNlj — Real sky map in your browser
23. https://t.co/dwdM45seEM — NASA's astronomy picture of the day
24. https://t.co/dffUurnOid — NASA's entire visual archive, free
25. https://t.co/vAp2FI36fJ — Visual articles told through data
26. https://t.co/X92Recqwke — The state of the world with real data
27. https://t.co/XHs0hqO6HY — What we mistakenly think we know about the world
28. https://t.co/i7KXiv2P8s — Visualizing complex data
29. https://t.co/Rj6gWA26fE — World Bank's open data
30. https://t.co/aN8jGgsu51 — Turkey's official statistics database
31. https://t.co/ApNx1Wwrn1 — Archive of millions of books, films, and software
32. https://t.co/RbRiDBa6Xr — 70,000 free books whose copyrights have expired
33. https://t.co/lE7QGKsfCN — Record of every book in the world
34. https://t.co/wWAYRmFS2V — U.S. Library of Congress digital archive
35. https://t.co/JR1oMzNXYk — Europe's cultural heritage archive
36. https://t.co/k6QMPiJNZ8 — America's digital library collection
37. https://t.co/jmjeo55fFX — Tour museums from home
38. https://t.co/TH5nfKRI5j — Download artworks in high resolution
39. https://t.co/NKSBWu1bp0 — Archive of 250,000 artworks
40. https://t.co/HYmNec0qMY — Forgotten visual treasures of history
41. https://t.co/vR9JOX7ZpP — Free archive of culture and education
42. https://t.co/jqxzniu2cc — Met Museum's open collection
43. https://t.co/QeDnKRWxF8 — Family tree of music genres
44. https://t.co/w7xet4sdwE — Pick a country and decade to listen to that era
45. https://t.co/eeZDFVm61w — Turn Wikipedia edits into audio
46. https://t.co/OVj3vwIEsI — Random knowledge well
47. https://t.co/UqBaX2YpBX — Time, sunrises, and sky events
48. https://t.co/Cd2GfXr5UK — Live stream of science news
49. https://t.co/CC4DZtCKyJ — Free preprints of scientific papers
50. https://t.co/bW0w8HImUc — Visualize data with live code
Save this. You’ll definitely need some of these later.
Best accounts to follow from each frontier lab to stay constantly up to date
Anthropic
@karpathy- must-follow account for AI; recently joined Anthropic
@bcherny - Claude Code creator, always shares great tips
@trq212- also a Claude Code developer; writes amazing articles on CC
OpenAI
@polynoamial - works on reasoning research, shares a lot of technical details
@gabriel1 - Sora developer, great career path
@jxnlco - works on dev experience, shares a lot about Codex
Google AI
@OfficialLoganK- all the major Google Gemini and AI Studio updates
@ammaar - product and design; shares great things about vibe-coding in Google AI Studio
@fofrAI - cool use cases for generative models
Cursor
@leerob- the loudest voice behind Cursor updates
@ericzakariasson- shares great insights on using Cursor
@mntruell - Cursor’s CEO; major releases and usage updates
xAI
@milichab - recently joined xAI, shares updates on Grok
@skcd42 - also covers major Grok releases
@ai_explorer25- covers all ai content and free resources
Three SpaceXAI employees are building a company in 3 days with Grok Bot. This is Day 1.
Matt Palmer (@mattyp), Lauren Tan (@poteto), and Roshan Sadanani (@roshan_s) start with research, a plan, and a product.
Live now, plus sessions for engineering, product, and founders.
https://t.co/eV3Tfd5Bf2
She is 18 built an AI agent with live memory and Anthropic bought it for $2.2M - and at Stanford shared how to repeat it from scratch:
00:40 - how Opus 5 builds an agent with live memory from scratch in 60 minutes
18:44 - the live memory system replaced 500 Anthropic engineers
39:42 - from first agent to $2.2M from Anthropic
after watching I gave Opus 5 one prompt - an agent with live memory appeared in an hour I sent an invoice to Anthropic and got a check for $120k.
save & watch - the article below shows how to build an AI agent with live memory and sell it to Anthropic for $2.2M.
Anthropic just dropped a 13-page PDF on Agent Memory - 5 layers that cut token cost 90% and make your agent actually learn:
here's the 5-layer memory architecture:
layer 1 → working memory - the context window. everything the agent sees right now. when it fills up, old context dies. most agents stop here and wonder why they're broken
layer 2 → episodic memory - what happened. full interaction logs with timestamps. the agent recalls that the deploy failed Tuesday at 3am because the migration script had a typo
layer 3 → semantic memory - what is true. facts, entities, relationships stored as a knowledge graph. "user prefers TypeScript" lives here. doesn't expire when the session ends
layer 4 → procedural memory - how to do things. the agent tried 3 approaches, one worked. that method becomes a reusable skill. next time it skips straight to what worked
layer 5 → forgetting - what to delete. an agent that never forgets accumulates contradictions. old preferences override new ones. the user moved cities but the agent still recommends restaurants in the old one
the result: Mem0 stores 1,800 tokens per query instead of 26,000. Snowflake added one ontology layer - 20% better accuracy, 39% fewer tool calls. memory pays for itself on day one
this 13-page PDF is what separates a chatbot from an agent that actually learns
don't scroll past this one ↓
Ex-Google Jeff Dean just released the best 1-hour lecture on AI engineering: from basics to Graphs
1:45 - LLM from scratch
17:22 - How to use AI models
30:03 - Prompt engineering
52:35 - One human coordinating 100 agents
27 years of building AI at Google, compressed into one hour.
Watch it, then read the full guide on Graph engineering below.
Quant Bible:
a 51-page guide written by an MIT Sloan Business Club member, covering probability, statistics, market making, and real interview questions from Jane Street, Citadel, Two Sigma and more
all for free
Bookmark this (before they take it down):
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Blockchains have been around for more than a decade, and more will launch. In this piece, Lorenzo offers a digestible (!) framework for understanding the different business models, trade-offs, and go-to-market strategies chains are using to scale, monetize, and acquire users.
My friend applied to 200 tech jobs in two years. No MIT. No Stanford.
Last month SpaceXAI offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. A 1 hour course on "Complete AI Engineering in 2026".
Matt Pocock shows you how to architect & build AI agents like Grok Bot from scratch.
The exact AI-assisted coding workflow that lets agents ship code while you sleep.
I watched it last night.
Halfway through, I realized I could break into an AI lab in days, not years.
Bookmark this and read the article below.