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๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
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There are thousands of ~70% win rate degens.
But only 6 have a 100% WIN RATE, which means no losses at all...
Been copy-trading them for 4 days. My $200 is now $54K.
Here's the list of these degens and the guide on copytrading ๐งต๐
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, Iโd drop everything and go all-in on AI.
But like many busy software builders, I felt lostโoverwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasnโt alone.
So I spent my entire holiday diving deep into AI researchโreading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier.
โจ Hereโs what I learned:
- You donโt need months (or years) to catch up.
- You donโt 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 boatโwanting 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
Itโs perfect for:
- Founders expanding into AI
- Builders wanting to innovate at the frontier of AI
- Investors looking to separate the signal from the noise
๐ Want the full guide?
- Like and Share this post
- Comment "AI Guide"
- I'll send you the complete guide
(ps, Iโm 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)
for all of the criticisms you have for the AICC launch
none should be directed at the guy who spends half (or more) of his waking hours researching and producing content on the agentic future
two reports a day & a weekly newsletter, over and over again
+ he didnโt even sell
sure the project had some obvious own goals but iโm proud of @0xsammy + his contributions. he is producing best in class content and has every intention of continuing in that vein. he is a huge asset for the MM crew
onwards we go, researching, writing + clicking