N8n
βIf you're manually doing any repetitive task right now, there's probably an n8n template for it.β
What the smart people are recommending. 7786 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βIf you're manually doing any repetitive task right now, there's probably an n8n template for it.β
βpeople that know the language of computers, be able to understand coding will be able to do that much more effectively than people that don't... I think we look back on that as some of the worst careeβ¦β
βIf your agent needs to read the internet, this is the standard.β
βIf you're the type who thinks better visually, and the idea of writing orchestration code makes you want to close your laptop, this is your tool.β
βI don't know if you read Sam Altman's blog that was out this week called The Gentle Singularity. Uh I would encourage everybody to actually go read it.β
βI love for coding I love cloud code and open increasingly using um OpenAI uh codecs as well.β
βI use AI as a brainstorming companion much more than even my friends know... of a brainstorming I use multiple models.β
βToday we are sharing another conversation from this year's Masters of Scale Summit.β
βActually go and build stuff. I think every one of you this is a wonderful time to build... There's so much cool stuff you can now build that just was not possible before.β
βI was watching this movie recently called the Gladiator. -Russell Crowe. Have you seen it?β
βIf you've ever sat there watching a single agent think for 10 minutes while you have four other things that need doing, this solves the problem immediately.β
βafter that came uh the NIST data set which we modified and it became Amnest which you know every student now has to deal with in the machine learning course.β
βInstall this before it happens again.β
βan editor from nature approached me and said like would you write a review paper on uh on on the topic to introduce the topic to the larger scientific community and that's how this paper came about.β
βthere's a paper you know famous paper u the that that sort of proposes this idea resnet um the lead author was coming her from at the time Microsoft research in Beijing. This is the most cited paper iβ¦β
βIf you want to explore beyond what I covered today, start here. It's regularly updated, and the community contributes to it.β
βHow are you communicating your AI strategy? π€ https://twitter.com/i/broadcasts/1nAKEgQPYYeJLβ
βthe dream machine is uh like hands up here who feels like they really have a good understanding um of the history of the internet... the dream machine is the best history of the um of the uh of the inβ¦β
βthe one I read uh reasonably recently that I that that kind of blew my mind was um um the demon under the microscopeβ
βIf you want to learn how to make your own, read through their examples first.β
βSkills MP, over 500,000 skills, largest catalog by far.β
βOne of them is called Physical Intelligence. Um they've raised billions of dollars over the past several years. And the reason is that you can actually take a large language model... put it inside a rβ¦β
βSkill hub, 30,000 plus skills that are AI-rated, so you can actually sort by quality instead of just guessing.β
βYou all can check it out and you can learn what it's like to be mayor and to see all the small businesses that are amazing in San Francisco, the restaurants, the bars.β
βI will put a cheap ad for our Duke Quantum Center in downtown Durham where we actually have several systems that we run full stack research from software all the way down to atomic physics.β
βmore recently it's been taken on by the quantum system accelerator a DOE center and the NSF stack program that allows us to co-design algorithms to this machine.β
βOxford Ionics, I mentioned them before. They have very promising plans to put hundreds or many tens of thousands of ionic cubits on a single chip.β
βthe company Quantinium which spun off from Honeywell a couple years ago they've taken this the furthest where they have very complex ion traps where the ions can be shuttled around.β
βThe company Lightsync aims to change P squared in this architecture... P squared becomes P over two and the company Lightsync is using silicon vacancies in diamond very well coupled to optical fibers.β
βJungsang Kim, Ken Brown, Luming Duan, Peter Maunz and I published sort of this architecture paper... 2013 or 2014 how you might build a scalable modular quantum computer.β
βthe national quantum initiative was a result of that and it's going strong and we have I guess it's under renewal now. Uh all signs are that it will be passed and these centers will continue.β
βWe propose a novel framework for one-shot visual imitation learning via world-model-guided trajectory generation... Our method is evaluated on two simulated benchmarks and three real-world robotic plaβ¦β
βThe code is available at https://github.com/raktimgg/osvi-wm.β
βit actually kind of reminds me of this movie Rainman, which I actually really recommend people watch. It's an amazing movie. I love this movie.β
βI recommend people watch these two movies uh Momento and 51st dates. In both of these movies, the protagonists, their weights are fixed and their context windows gets wiped every single morningβ
βthis is a really cool tool called map of GitHub. Um this is kind of like all the software that's written.β
βIf you want to stay on the bleeding edge without spending your morning scrolling GitHub trending, bookmark this.β
βFirst up, Yi Combinator President Gary Tan has open- source GStack, an AI coding workflow system for cla code.β
βI also vipcoded this app called Menu Genen. And this is live. You can try it in menu.app.β
βwhen you just change the URL from GitHub to get ingest then uh this will actually concatenate all the files into a single giant text and it will create a directory structure etc.β
βWe are fortunate to partner with Serville at the series A and they have been on an absolute tear.β
βYou want the team to be able to try cursor and then and then decide that they're not going to use it anymore and then try something else. And β¦β
βThe Mind Body Problem by Rebecca Goldstein, um you know, is an amazing novel, uh that sort of sort of asks all these these philosophical questions that are very close to my heart.β
βher husband Steven Pinker who has also written amazing books that I could strongly recommend uh uh you know how the mind worksβ
βher husband Steven Pinker who has also written amazing books that I could strongly recommend uh uh you know how the mind works uh the blank slateβ
βin computational complexity uh the the textbook by Papa Ditrio uh was uh revoly for meβ
βthere's another one called gems of theoretical computer science that I really love.β
βfor people who want the basics of of quantum mechanics, uh, uh, Richard Fineman has this wonderful popular book called QED.β
βLeonard Suskin has a really nice book called the theoretical minimum.β
βMaybe some of you know three blue one brown. He makes beautiful animation videos on YouTube... he wrote uh Manon and I wanted to make my own and uh there's extensive documentations on how to use manonβ
βSean Carroll has a has a really really nice book called Something Deeply Hidden.β
βBuilding deep learning models that can reason about their environment requires capturing its underlying dynamics. Joint-Embedded Predictive Architectures (JEPA) provide a promising framework to model β¦β
βsome of my all-time favorites would be, uh, Real Genius from the 1980s, uh, with Val Kilmer... That's a, that's a classic.β
βyou can have maybe lm.txt txt file which is just a simple markdown that's telling LLMs what this domain is about and this is very readable to a to an LLM.β
βcouldn't couldn't be happier with the decision department partner with the folks at Redpointβ
βI'm just a I'm a sucker for musicals, you know, The Sound of Music, uh Fiddler on the Roof.β
βCode, data and checkpoints are available at https://github.com/facebookresearch/jepa-wms.β
βAnd I have a book, Quantum Computing Since Democratus. I almost forgot. A fantastic book. I highly recommend it.β
βSean Carroll has a has a really really nice book called Something Deeply Hidden... they're all role modelsβ
βher husband Steven Pinker who has also written amazing books that I could strongly recommendβ
βscottarensson.comblog. That's my blog.β
βSo our early customers end up being β¦ Perplexityβ
βgo take all of Harrison's courses. I think the recent Langraph one had the clearest explanation I have seen myself of a bunch of agent concepts.β
βjust this morning we released with Anthropic short courses on MCP... let's create a really good short course on MCP that explains it clearly.β
βSo our early customers end up being β¦ Merkorβ
βIn this case, we start with the assumption that our charting library (`recharts`) doesn't support server-rendering.β
βuse the LLM as a judge and well and just go through that process to get it done much faster.β
βYou can use tools like Otterly, there's profound, there's manual testing.β
βI think everyone should learn to code... everyone in AI fund actually knows how to code... it's actually driving meaningful productivity improvements across all of these job functions.β
βdevelopers that use AI assistance in our coding is so much faster than developers that don't... I just hate to ever have to code again without AI assistance.β
βI mention one thing that people have talked a lot about, but I think is so underrated is the voice stack... I'm actually very excited about voice applications.β
βThen these AI agents tools like GitHub copilot cursor or anthropics claude code they ingest that plain English prompt and just generate the functional underlying code for you.β
βone should have between five and 15% of their portfolio in gold because of the fact of how it works with the other components. In other words, it's a diversifier when when the hits the fanβ
βIn the book I describe the pattern that's happened over and over again. And when you get to this position when there are a bad finances combined with large wealth and values gaps and irreconcilable diβ¦β
βI think maybe the main thing is I would say read history. Read history and know these things and try to get that balance right.β
βSo our early customers end up being β¦ Clayβ
βIf I'm a marketer or a designer or a healthcare professional listening to this right now and I have a brilliant idea for an app, can I really just log onto a platform like lovable or Bolt, type in my β¦β
βThere's a French writer geographer who has I think the best analysis on this um and who's written a great book on it called Twilight of the Elites.β
βif you ever have the misfortune of finding yourself in San Francisco, take a Waymo. I recommend having the experience at least once.β
βThere's this new book out called Abundance um from uh from Ezra Klein... I think this book is really good.β
βIf I'm a marketer or a designer or a healthcare professional listening to this right now and I have a brilliant idea for an app, can I really just log onto a platform like lovable or Bolt, type in my β¦β
βWe combine our findings to propose a model that outperforms two established baselines, DINO-WM and V-JEPA-2-AC, in both navigation and manipulation tasks. Code, data and checkpoints are available at hβ¦β
βAnd I couldn't do it without uh Back Blaze and Render, two of our great sponsors. And I I'll thank them a bunch of times, but uh and also Jetro, who's helping me uh launch Foundry University in Japan,β¦β
βOur work addresses the problem of learning latent actions world models on in-the-wild videos, expanding the scope of existing works that focus on simple robotics simulations, video games, or manipulatβ¦β
βI really encourage people to go out there and try Tesla self-driving and and Γ€h see for yourself. And it's you can just go to any Tesla they'll show it to you. You know it's not a secret.β
βBy the way, Graedia is awesome. Okay, great. I mean, just phenomenal.β
βAnd I couldn't do it without uh Back Blaze and Render, two of our great sponsors. And I I'll thank them a bunch of times, but uh and also Jetro, who's helping me uh launch Foundry University in Japan,β¦β
βinvesting in open source and open way models. Building these models is so expensive. What most nations need is to make sure that no one else can control your infra. But when there's open-source openweβ¦β
βwe put out GPT3 in the API and the world didn't care, but sort of Silicon Valley did. They're like, 'Oh this is kind of cool. This is pointing at something.'β
βif you think you're like way smarter than 03 then maybe you have a little bit of a ways to go but 03 is already pretty smart.β
βWe apply an Information Bottleneck framework to compare human conceptual structure with embeddings from 40+ LLMs using classic categorization benchmarks.β
βAnd I couldn't do it without uh Back Blaze and Render, two of our great sponsors. And I I'll thank them a bunch of times, but uh and also Jetro, who's helping me uh launch Foundry University in Japan,β¦β
βback in 2019 before the rise of LLMs I released an AI benchmark to highlight this difference. it's called the abstraction reasoning corpus or ark1. And from that time back in 2019 to now...it really rβ¦β
βthat tool is ARGI 2 which released in March this year...ARK 2 challenges reasoning systems...The benchmark format is still the same. There's a much greater focus on probing compositional generalizatioβ¦β
βwe're going to launch this in early 2026 and next month in July we're going to release a developer preview so you can start playing with it.β
βThen add gbrain straight from the GitHub repo.β
βwe propose Guillotine, a hypervisor architecture for sandboxing powerful AI models -- models that, by accident or malice, can generate existential threats to humanity.β
βI know most this company called Oaklo but there's other companies I think doing great work and like that's a huge win.β
βRead the recommended schema.β
βThe repo link is on screen and it is worth reading the readme, the skill pack, the schema and the verify runbook together.β