Explore this huge curated collection of some of the best mathematics books ever written — spanning classical foundations, probability, analysis, geometry, and problem-solving texts used by mathematicians, scientists, engineers, and AI researchers: https://t.co/7ixaFw1vfi
The list is organized by these topics:
Math
Machine Learning
Physics
Econometrics
Optimization
Information Theory
Signal Pprocessing
History
Probability
When you can't see the whole staircase, you learn to trust the next step. And the next. And the one after that.
God rarely hands us a floodlight that illuminates the entire path. More often, He gives us a lamp — just enough light for this step, this decision, this day. His Word doesn't always answer the question we're asking, but it always gives us what we need to keep walking forward in faith.
What's the one promise you're holding onto in this season?
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."
This 47-minute lecture is the best thing I saw about AI in the last few months.
It will definitely help you understand how it actually works and where it's going.
Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it.
The part nobody wanted to hear:
> AI is already developing abilities its creators didn't intend
> in most cognitive tasks it's already ahead of us
> the question is no longer if it surpasses us but when
> the only decision left is which side of that line you're on
Right now the average person opens Claude, types something, gets an answer, closes the tab.
They think they're using AI. they're using maybe 10% of it.
I went through his entire lecture, built a practical system from what he was describing.
18 steps to actually use Claude the right way, with copy-paste prompts that work today.
Full guide in the post below.
🚨 Absolute GOLD here.
The Anthropic engineer who wrote "Building Effective Agents" just dropped a 14-minute masterclass.
This will literally save you hours of headaches trying to build this stuff from scratch.
bookmark this + don't miss @Av1dlive's ace guide below! ↓
40% of the code Claude writes for you is wasted. you're paying for the rewrite.
a 65-line markdown file fixes it. 120,000 developers have starred it.
the author tested it on "30 codebases over 6 weeks" and reported a mistake rate drop from 41% to either 11% or 3%
depending on whether you read the headline or the body.
the irony is that the article is right.
CLAUDE.md is the most under-leveraged file in your stack.
65 lines of behavioral rules outperform a 4,000-token preferences dump.
"be careful" is useless. testable imperatives are gold.
"be senior" doesn't work Claude already thinks it is.
the 4 rules that ship the most leverage:
/ state assumptions, never guess silently
/ minimum code, nothing speculative
/ surgical changes, don't refactor adjacent code
/ define success, loop until verified
compliance: ~80%. mistake rate: from ~40% to single digits.
no human caught the contradicting numbers in the title.
nobody had to.
📁 Fei-Fei Li, former Google Chief Scientist, says the industry is dangerously fixated on language models.
Most of the real economy is physical, perceptual and spatial.
Once AI fully understands the visual world, it stops being a chatbot and starts becoming infrastructure.
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc
The fastest company in history to $1B did it with no VC money and fewer than 100 people.
@HelloSurgeAI has become the secret weapon behind Anthropic and Google's best models. Founder Edwin Chen (@echen) built it without playing the Silicon Valley game—no viral posts, no fundraising treadmill.
In my powerful conversation with Edwin Chen, we discuss:
🔸 How Claude got so good at coding and writing
🔸 Why the AI industry is optimizing for "dopamine instead of truth"—and delaying AGI
🔸 The problems with AI benchmarks and leaderboards
🔸 Why RL environments are the next frontier in AI training
🔸 Why taste and human judgment determine which AI models win
🔸 Why Edwin believes we’re still a decade away from AGI
Listen now 👇
• YouTube: https://t.co/RkA8ONNsKE
• Spotify: https://t.co/gluDhTNssd
• Apple: https://t.co/lSM0XIxCM2
Thank you to our wonderful sponsors for supporting the podcast:
🏆 @TrustVanta — Automate compliance. Simplify security: https://t.co/JHcQhNsK42
🏆 @WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://t.co/XH3bKmeEkH
🏆 @coda_hq — The all-in-one collaborative workspace: https://t.co/sP4vEcSaUY
Sharing a fun recipe for building a highly autonomous, moderately capable, and very UNreliable agent using the open source aisuite package that Rohit Prasad and I have been working on.
With a few lines of code, you can give a frontier LLM a tool (like disk access or web search), prompt it with a high-level task (such as creating a snake game and saving as an HTML file, or carrying out deep research), and let the LLM loose and see what it does. Example in image.
Caveat: This is not how practical agents are built today, since most need much more scaffolding (see my Agentic AI course to learn more), but is still interesting to experiment with.
Longer write-up here: https://t.co/BdS8tGhnIy
The Amish have just a 4% obesity rate—9x lower than most Americans.
They're less anxious and live longer than most of us.
Their secret? Not restrictive diets, gyms, or fitness trackers.
But 10 simple habits that let them age without decline:🧵
Arnie Gunderson worked on Pratt and Whitney J 58 engines for most of his career. Around six months ago, he was interviewed by Air Zoo about the engines. His enthusiasm is contagious. People like Arnie are the real heroes of the SR 71 program.
To watch the full 25 minutes, here is the link. https://t.co/07801reyMv
Getting Started With Claude 3 Opus That Just Destroyed GPT-4 and Gemini
Anthropic has released a new series of large language models and an updated Python API to access them.
https://t.co/OKJHEOCliU
I am going to share with you conversations that I had with several remarkably successful people about principles for success https://t.co/yrYlIKq8rX. Since I released my book Principles: Life & Work, I have been contacted by several extraordinarily successful people who want to brainstorm about my and their principles for success which it turns out are almost identical across domains - sports, music, entrepreneurship, philanthropy, geopolitics, etc. I asked them if I could record these so that I can pass them along to you because I want you to have the best principles for success from the most successful people.
I am now excited for you to hear my conversation with Bill Belichick who, having just earned his 300th career win, is unquestionably one of the greatest football coaches of all time. After he read Principles: Life and Work, he called me and said, “Mine are remarkably similar. Can we talk?” I, of course, was excited to have that conversation and wanted to share it so that many people could benefit from it. He agreed. It’s a very interesting conversation about how to build winning teams. Our conversation about how failure is the most valuable part of the path to achieving great success is especially interesting as this season has been a challenging one so far. After sharing my conversation with Bill, I will share my conversation with @DeepakChopra about principles for dealing with life and death in the best possible way. I think you will find these interesting and valuable.
My conversation with Bill was edited down to a 45-minute piece, which I also broke up into short clips that I will pass along separately. The full conversation is now available on YouTube. Please give me feedback after you view it. And, Bill, congratulations on 300 wins!