There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really.
I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI.
But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone.
So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.
✨ Here’s what I learned:
- You don’t need months (or years) to catch up.
- You don’t need a PhD or decades of ML experience.
- You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today.
It's because the technology is extremely nascent and most techniques that came before are no longer relevant:
- ChatGPT is barely 2 years old and Transformers are only 7 years old.
- Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication.
The biggest secret?
Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine).
I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start.
I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were:
- Curated list of only the most important papers
- Simple explanations of key concepts
- Clear pathway to understanding the frontier of modern AI
It’s perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise
👇 Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide
(ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)
This 34-tweet thread simplifies @Polkadot $DOT and @KusamaNetwork $KSM crowdloans and parachain slot auctions.
What is a crowdloan? How is it different/better than ICOs? How do I participate? How do parachain auctions work?
Comment your questions & please share. Let's go ⤵️
$BTC
16.3k key HTF support level.
HTF believe price eventually heads lower to fill out some of the inefficient moves.
Looking for HTF buy the dip opportunities lower down.
I'm going LIVE on YouTube right now to review what happened in the economy this week, what to expect next week, and answer as many viewer questions as possible.
Come join us and ask me anything!
https://t.co/xHwdhMHYBY
If you put 10,000 hours practicing the piano, you will almost certainly become a great pianist.
If you put 10,000 hours into your business, it doesn’t necessarily translate to anything!
The first kind has a predictable relationship to effort. The second kind doesn’t.
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For popular books, read the text, not the footnotes.
For scholarly books, read the footnotes, not the text.
For social science books, read neither text nor footnote.
Thank you to all who have expressed condolences.
Now let’s see if we can stop this outbreak. It will take hard work and dedication. Together we can do it.
To celebrate breaking $6M sent to creators last month, we're going to give $6,000 to a random person who retweets this tweet!
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We had a constructive meeting tonight with the #BitcoinPrivate Development team. We are so close to announcing a fork date, we can almost taste it. Only two issues left to solve! Stay tuned for the fork date announcement because it is coming soon...