Marc Gris

@TimothyKassis @k_dense_ai DM'ing you.

I'm hiring AI engineers and software engineers. If you've been following our journey on @k_dense_ai please DM me if you are interested. We're looking for both remote and onsite in Palo Alto.

@stylewarning DM'ing you right now :)

I'm looking for someone who wanted to get into Common Lisp (or Coalton) and maybe even learned some, but got turned off by the setup process and quit when they realized they'd have to learn Emacs. If willing, I'd like some feedback on some things. Please DM me! 🙇🏼‍♂️

@kepano Oh... 🥹 If only I had enough experience to fit your requirements. I'm so in love with both the product, philosophy & mission... Someday, maybe 🤩

This is a rare opportunity. We only add about one person to the team each year and only plan to ever have 10-12 full-time people on the team total.

@yminsky Thx Yaron. Coming from you, this is of course very 'strong signal' that many of us will pay attention too. If its not too much asking from you (or not enough 'homework doing' from me), could you maybe tell us 'just a bit more' ? Thx

I've started using exe.dev for doing some personal vibe-coding, and it's kinda great. Just exactly what I wanted as a place to conveniently and safely run my agents. It's simple and very intuitive for someone who grew up on the command-line.

Really enjoyed reading that one back in the days ! Thanks @ChristophMolnar for writing it & for the reminder via this post ! Might read it again soon :)

bayesian or frequentist? stats or ml? supervised or unsupervised? association or causation? Math and methods overlap, but mindsets differ. We often focus on teaching technicalities and the big picture falls short. That motivated me to write Modeling Mindsets, a big-picture book

@davidsenra @pmarca What a narrow definition of greatness... 😔 Socrates, Shakespeare, Mozart... All lesser men by this standard ... 😅

Great men of history had little to no introspection. The personality that builds empires is not the same personality that sits around quietly questioning itself. @pmarca and I discuss what we both noticed but no one talks about: David: You don't have any levels of introspection? Marc: Yes, zero. As little as possible. David: Why? Marc: Move forward. Go! I found people who dwell in the past get stuck in the past. It's a real problem and it's a problem at work and it's a problem at home. David: So I've read 400 biographies of history’s greatest entrepreneurs and someone asked me what the most surprising thing I’ve learned from this was [and I answered] they have little or zero introspection. Sam Walton didn't wake up thinking about his internal self. He just woke up and was like: I like building Walmart. I'm going to keep building Walmart. I'm going to make more Walmarts. And he just kept doing it over and over again. Marc: If you go back 400 years ago it never would've occurred to anybody to be introspective. All of the modern conceptions around introspection and therapy, and all the things that kind of result from that are, a kind of a manufacture of the 1910s, 1920s. Great men of history didn't sit around doing this stuff. The individual runs and does all these things and builds things and builds empires and builds companies and builds technology. And then this kind of this kind of guilt based whammy kind of showed up from Europe. A lot of it from Vienna in 1910, 1920s, Freud and all that entire movement. And kind of turned all that inward and basically said, okay, now we need to basically second guess the individual. We need to criticize the individual. The individual needs to self criticize. The individual needs to feel guilt, needs to look backwards, needs to dwell in the past. It never resonated with me.

Math, Inc. is proud to announce an all-star group of Veritas Fellows: Renowned professor Kevin Buzzard, alongside Fields Medalists Maryna Viazovska and Terence Tao. They will lead teams to build formal mathematics at unprecedented scale. 🧵

Pure FP is about “reducing the state a developer has to hold in their head” to 0.

Announcing our fully open source code agent to support development in @leanprover. This has been a labor of love by our team at @MistralAI and we look forward to seeing what the #LeanProver community does with it!

@sspaeti @wesmckinn Nice TUIs list by the way 😍

@MarcGris2 @wesmckinn You mean msgvault? I saw that! It's not my use-case, but I have it on my TUI lists for emails :) #emails" target="_blank" rel="nofollow noopener">ssp.sh/brain/tuis/#em…

Hey @dhh - did I miss something? Or did you just gift us with an email TUI without saying anything? It looks amazing. Might replace my hacky Neomutt HEY screener 😅

@sspaeti there is also an interesting email related project by @wesmckinn ;)

Very relatable :) x.com/sspaeti/status…

@WonderingApp Hey ! Would love to try out. Could i please get a beta access code ? :) Thx

We’re letting a limited number of people in daily. Today's code: ‘mastery’ If today’s full, stay tuned for tomorrow’s code! You can Download the app on App Store: apple.co/4beZmIA If you are on Android or Web, you can join the journey at: wondering.app

Wondering is now available in early access, on iOS and web. It's Duolingo for anything: turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule. But you don't sacrifice depth/effectiveness for convenience.

@Krever01 with ... the Max 20x ??? ;-)

Me waiting for Claude quota to reset. (I reached it four times in the last 24h)

@slimjimmy @DominikTornow Thanks Slim Jimmy !!! 🙏 😃

@MarcGris2 @DominikTornow hillel wayne's blog and his books are valuable resources on this: hillelwayne.com

Unexpected side effect of agentic coding: I have never written more detailed specifications.

@DominikTornow Thx for answering Dominik. I'll keep diggin' then 😉

@MarcGris2 Unfortunately I don't have a curated reading list for formal methods

very interesting .. Programming in System Fω using Dhall - leanpub.com/f-omega (from the author's LI page 👇)

We’re excited to release TorchLean which is the first fully verified neural network framework in Lean. The Lean community has largely focused on pure mathematics. TorchLean expands this frontier toward verified neural network software and scientific computing. With the recent release of CSlib, we see this as another step toward a fully verified ML stack. We support features: 1. Executable IEEE-754 floating-point semantics (and extensible alternative FP models) verified tensor abstractions with precise shape/indexing semantics 2. Formally verified autograd system for differentiation of NN programs Proof-checked certification / verification algorithms like CROWN (robustness, bounds, etc.) 3. PyTorch-inspired modeling API with eager-style development + export/lowering to a shared IR for execution and verification Project page: leandojo.org/torchlean.html Paper: [2602.22631] TorchLean: Formalizing Neural Networks in Lean Work done @Robertljg, Jennifer Cruden, Xiangru Zhong, @huan_zhang12 and @AnimaAnandkumar. #MachineLearning #ScientificComputing #Lean

@DominikTornow Sir ! Yes, Sir !

Anybody interested in a live stream?! We go from zero to production-grade durable executions with Claude Code, a formal specification, and verification. Yes or no?!