I am seeking applicants for a fully-funded PhD student position in my lab. The student will join the Cognition track in the Psychology PhD program at UNH. Please spread the word if you know someone who might be interested.
(RTs appreciated)
I am incredibly proud to share my first, first-author paper as a postdoc with Ben Hayden. How does the human hippocampus, known for encoding concepts, represent the meanings of words while listening to narrative speech? https://t.co/4mOU2lL9FK
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)
A friend asked me to explain DNA, RNA, and epigenetics. he said that others had tried before, but it didn’t click for him.
I happen to play the piano, so I gave him a simple, albeit imperfect, analogy.
After this analogy, he finally understood! Here’s the piano analogy.
🧵
Join for free: a virtual conf with 1000+ LPs, Family Offices, Funds of Funds, & GPs of VC, PE, RE, & Hedge Funds – Nov 26 on Zoom. $100M+ & $1B+ Single FOs, LPs, FoFs & other investment firms have confirmed their participation. Like & reply "+" to get the invite in DM (we're at 1200+ regs now).
Our previous event attracted attendees with a combined AUM of $1.6 trillion, including: 270 Single Family Offices, 90 Multi Family Offices, 180 Funds of Funds, 300 LPs, 570 angels, & hundreds of GPs.
For the first time, we're adding a virtual Private Networking Lounge with LPs, FoFs & FOs in addition to speakers' Zoom panels & presentations (US, EU, & UAE):
1) $1B+ Family Office panel: In what and how are we investing? RE, PE, VC & other alternatives – Shubhra Jain @ Tarsadia SFO ($2B); Neetu Puranikmath @ Cooper Family Office.
2) 2x+ DPI Club: How to return your LPs more than expected? – Justin Stebbins @ Northgate Capital ($5B); Douglas Mellinger @ Clarion Capital Partners ($1.8B)
3) Family Office Trends 2025 – Uli Maybach @ Maybach Foundation; Christian D Evans @ Pax Fortis Multi-Family Office. Moderated by Valerie Bertele @ Yellow Rocks.
4) 1st-generation UHNWI strategies: 1. Launch a SFO, or 2. Join a Multi-Family Office, or 3. Other ways to preserve & grow capital? – Shane Neman @ SFO / Neman Ventures; Lisa Morris @ AKS Single Family Office.
5) How to Grow AUM of a Fund in 2025: Best Fundraising Practices for PE, VC, RE, & Hedge Funds – David Butler @ Argosy Real Estate Partners ($3.6B); Jaclyn Baumgarten @ IDC Ventures ($650M AUM, IDC Network $2.5B); Ed H. @ Arena LP ($3.4B).
6) Why FoFs exist, and why LPs accept double-layer fees? – Chuck Tedeschi @ Top Tier Capital Partners ($8B); Scott Sherman @ Mesa Lane Capital Partners.
7) How to harness AI for sourcing, evaluation, and reporting? – Logan Allin @ Fin Capital.
8) How Governments Can Attract Capital, Innovations & Talent by Focusing on Venture Studios? – Preslav Panayotov @ VentureWaves Innovation Network
9) State of Venture Q3 2024 – Benjamin Lawrence @ CB Insights.
10) $2T growing Private Credit Market & what it means for Private Credit Secondaries – Brett Hickey @ StarMountain Capital ($4B+).
11) Collaboration between Family Offices, Venture Studios, VC Funds, & Corporations – Ahmed Nasser Al Nowais @ Annex Investments; Daniela Plattner @ Palm Venture Studios; Marc Wesselink @ venturerock.
12) What do our private banking clients want to invest in? Our portfolio construction – Orley J. Pacheco @ Wells Fargo ($2T)
@margauxmaccoll @ @TechCrunch, @SaacksAttack @ @BusinessInsider, Abby Schultz @ @barronsonline, @theMetz will moderate some of the panels
More speakers/moderators on the website.
New preprint up! We sequenced hundreds of samples from across one of Earth's oldest living organisms - the Pando aspen clone - to understand how mutations accumulate and spread in long-lived clonal organisms. Our results were…surprising. 1/30
𝗖𝗮𝗻 𝗮 𝗯𝗼𝗼𝗸 𝗯𝗲 𝟰𝟱 𝘆𝗲𝗮𝗿𝘀 𝗮𝗵𝗲𝗮𝗱 𝗼𝗳 𝗶𝘁𝘀 𝘁𝗶𝗺𝗲??
Listening to Varela's Principles of Biological Autonomy (1979) and it's absolutely remarkable. So many of the current issues on principles of biological systems are outlined with such clarity and depth.
So after @elonmusk laid out the plan for 5 Starships to Mars in 2026, I went to crunch the numbers. Happily I was already working on this, but now I’ve got a specific number to work with. So 🧵 time…
Here are the three upcoming Mars windows. 2026, 2028/29 and 2031.
Mind blowing: An AI-generated podcast about our generative AI model of blood glucose levels. The podcast is fluent, accurate, interesting, and explains well most major aspects of the research
Listen here: https://t.co/YH4mloYJSV
By Google's Notebook ML