Mojo Lang… a fast futuristic Python alternative 

I love how fast the industry jumps on the trains and looks for Mojo devs with 10+ years of experience.... :D

I have 10 years of watching “Watch Mojo” experience, so I think I’ll apply for that job!

After working with Mojo for 10 years I can safely say that this is going to become the new standard for AI/ML development. Very exciting stuff.

The 🔥 emoji as an extension got me 😂😂

Crazy how much languages change over the years. C# going functional and Python adding types. Good times.

"The problem of being faster than light is that you can only live in darkness"

As someone named Mojo, I see this as an absolute win 🔥

As someone with 20 years of Mojo experience and someone who has watched the power puff girls growing up, I am excited for it's public release.

I know I will give it a shot once it is open source and stable. Getting up to 14x faster code without changing anything isn’t something to easily dismiss. Obviously, not every use case is gonna get 14x but even getting 2-5x performance improvement with little refactoring is crazy good.

I love the industry is moving towards more fast and safe languages.

Chris Lattner is a legendary programmer, as if Swift and LLVN weren’t impressive enough already. Respect!

So Mojo is like C, C++, and Python 3 have merged each other to get the performance of C/C++ and the elegant simple syntax of Python 3 or Ruby. As a computer science student I cannot wait to get my hands on Mojo who has been learning C++ and Python 3 for years.

great explanation, 10 years of experience for Mojo. Recruiters are so smart.

I have literally been dreaming of a programming language like this as a python developer...

I've always wanted Python with strict Type Checking. I think this is it. Very excited to see wyat it will be like.

Massive potential right there. Python really needed something like this, imo.

Any Python++ language that was going to be faster was always going to have to do away with many of the things that made it quick and easy to use. Much of the speed of Rust/C++ etc. comes from their syntax, declared variable types, etc. I'm happy to see Rust's ownership system here though, cos that's something I'm trying to wrap my head around at the moment anyway

I already love how with this language you can basically find a sweet spot between performance and increased codebase complexity, definitely gonna try it once it goes opensource 🔥

I would be much more interested in comparing Python code with GPU optimised version (maybe using Pytorch tensors) vs the Mojo code for the same. Nobody would use a simple for loops for matrix multiplication, if we want to see how much impact it makes on industry, maybe we need to compare with industry standards.

I don't know if it will really catch on. Because the reason why python is so popular is because of its easy syntax, and since most AI libraries are written with a C backend, python just works as an interface to those functions. If i wanted to use pointers and types in python wouldn't i just use C or rust?

as a python programmer, I gotta move into mojo, it just sounds like a dreamland for python programmers.

It looks awesome. Chris killing it again 🔥

i have a hell of a lot of experience diving into the depths of python and i really like it a lot. but because it’s so slow i basically always shy away from starting anything that might in any way require performance in it. if this is even close to as good as it seems i might just come back to it!

What a time to be alive - CAD sketcher add-on is about to become a blender feature, Godot 4's new features makes rendering more enhanced than its predecessor, toroidal propellers (despite being an old invention) are now being slowly applied in different kinds of machines, and now we have this one. :)

I feel like I dont really need to read articles when I have the code report almost daily. Thanks to fireship 🎉

Thanks for this video. Sounds amazing! I signed up for the wait-list

Hugely useful, concise and even a bit of funny in there too. Dude you deserve to get rich off these vids... and you probably are and I'm glad

I have recently started learning Python, and it's definitely worth the time and effort. I'm finding the syntax exceptionally logical, which is great for newcomers. Plus, Python's extensive adaptability across different industries is a significant advantage.

Damn! I love Swift and I use Python for work every day. It'd be great to see mojo with Django 🔥

Fireship always brings me the best time when I go home after a hard day at work.

Most of the x1000 speedups are parallelism based, SIMD uses AVX/SSE instruction set to use its parallel abilities. Basically it's somewhat like using a build in Cuda cores in cpu that are limited. Basically it's something that's used by many libraries in other languages for example noise generation libraries use such a instructions.

The only good part of this is more tools for experienced developers since converting to mojo from python code seems reasonable but somewhat obscure. The problem with mojo is like with every language: beginner difficulty. On the other hand, the creators made terrible decisions with by the inclusion of arbitrary decorators, symbols, awkward typing, and a slew of design choices catering only to a specific and small niche. Python is so good because it's so easy to try something, extremely simple to handle tasks, and trivially easy to run the program. I think its a step but I'm unsure if its a step in the right direction but I guess the only alternative is waiting for later releases of python to speed up existing code.

Would be interesting to see a performance comparison with the dot product calculation from numpy.

Can't believe this was only announced yesterday and there's a Fireship video out

The most important part is compatibility. If existing projects are going to work fine and tweaking a bit can help us to gain more performance then most of us going for it 😜

This video was extremely informative and amazingly edited. I myself will be taking a look at mojo as it looks very interesting.

Mojo is looking really promising. I hope it gets adopted by scientists everywhere around the world. It would speed up research (especially the part where you crunch data) so much!

Brilliant video. Well done introduction to this new tech. 👏

So emotional, I never thought I'd see python speed up in my life time

The hype is strong with this one, thanks to both the great marketing of the Modular team and Chris Lattner (author of LLVM) being behind it. But I just hope this will live up to at least 40% of the hype. But I am excited, I think this has a strong chance of replacing Python and I say this as someone that has worked on Nim for more than a decade.

I have been waiting for something like this, really hope it becomes as mainstream as TypeScript did for JavaScript

wow, it has built-in support for simd in function declaration, that is AWESOME

Data analysis, Data science, Artificial intelligence, Machine learning, Deep learning, back-end serverside web development in Django, Flask and more will all go lightning superspeed because of Mojo. What a time to be alive!!

Nice! Sounds exactly like numba, Cython, Taichi, also Julia is already a thing and has even cleaner numerical code than python usually. All it needs is better static compilation.

If they can keep this performance and improve the packaging ecosystem, they will win over so many python devs.

Python and pointers sounds like a match made in the deepest, darkest most unspeakably evil depths of hell

Looks really good! I'll definitely be trying it out!

It seems to be a game changer. One question Can django use mojo in their further versions as angular has used typescript in it? If they do it, then we may be able to see improvement in performance.

I have mixed feelings, I started with python, love the syntax, been using it for 10 years or so... But I ended up going down the route of c/c++/rust when I started integrating some OpenCL stuff in my python and was kinda looking forward to moving on. Will definitely be giving it a try though. Edit: Just realised the base python example used primitive/native python types... rather than an optimised linear algebra library like numpy which you would usually use in python, which will use some simd at least if not also parallelism... I'm sure its faster, but the comparison feels in bad taste.

It looks extremely promising. If the community as a whole gives it a change it could be huge.

A lot of this seems like the ideas used with Godot's GdScript, but instead of tightly integrating the language into the game engine, it focuses on computation-intensive tasks. I very well can see GdScript, Mojo and Nim influencing each other back-and-forth in the future for the benefits of their users. Which means, I like this.

4:11 Did you read the end of the Mojo hiring ad? ----> "Will work on ... building hyper-intelligent armed robots" Wait, what ?? 🤨

This looks great, but can we get a performance comparison against a vectorized numpy imementation of the function.

In the jupyter notebook example, you say "where it behaves like an interpreted language". How is it doing that, is it just fast in compiling or it has some time of just-in-time and ahead-of-time compiler or some other tricks?

I love how I was just finishing the rust book so I could get all these benefits, and already someone's about to solve it for me 😅

Wow, if this is as it’s described then it’s a game changer. This is by far the most interesting new language I’ve heard about since Rust. Although C/C++ is so embedded (pun intended) that even if by some miracle those languages were to be replaced by contemporary solutions, the legacy code will transcend my lifetime lol.

It would be nice to see a performance comparison between the optimized Mojo code and the same task implemented in C++/Rust. I imagine Mojo has some overhead, but that the simplicity of parallelization and vectorization might cover the gap.

Okay but is there some way of defining the end of a block (like with a curly bracket), or are we still stuck with tabbing all the lines we want to move between blocks?

Language naturally supporting parallelism cross cpu cores and SIMD is insane. It took several hours to study intel SIMD and accelerate my program even though I had cpp background. Now python developers with no cpp background can SIMDlize their program without cost

Companies publishing their AI job positions: "10+ years of experience with Mojo required, Python does not counts."

The downfall of Silicon Valley Bank has caused significant damage to the worldwide financial markets. As a result, investors are scrambling to revise their projections for interest rate increases and hastily selling off bank stocks across the board. As someone who has invested 200k in stocks, I find myself at a pivotal moment, wondering whether it's wise to cash out my depreciating portfolio. What strategies should I adopt to make the most of this bearish market?

When you said it had pointers I got so hyped, finally a language that appeals to my masochism and knows when to be gentle😍

The job description killed me :)

Pretty interesting! I'had seen a bit of Python when I was at a bootcamp, I enjoyed its simple sintax compared to JavaScript, it would be nice to work with it someday!

Using SIMD is already a massive performance boost, especially with something like matrix multiplication. I’m curious if there is and if there are how much performance is gained by just having struct and static type in that example.

That entirely depends on mojos debugging tools and tooling support for the supersets features.

I learned rust quite a bit, now learning python for tools. Seems like borrow checker changed the world. This is huge. Django with MOJO could be insane stack

It sounds great, but there are already a bunch of solutions for faster python: Cython, Numba, Pypy. What I really want to know is what advantage does Mojo have over those? (particularly Cython, which is also a superset of Python)

As a (non-professional) python dev, this is amazing! Numpy and pandas might become a permanent part of scientific computing now

Typescript for Python. WTF what a time to be alive

I would like to use it when training models, it might be a game changer.

Mmm, if you'd like to compare Mojo to: - a pure-Python implementation (CPython), you should compare with something like PyPy/MyPy, which are already well established and use the python type hints (no crazy syntax to learn!) - a linear algebra implementation, __use numpy__. Never in existence would you do you matmul with for loops 😂 But of course you wouldn't get the flashy 4000x speedup

There is a risk that Mojo will "ruin" Python, but I think it is more likely that it will be used for Python (and Mojo) library development. Python can do amazing stuff on huge distributed clusters already. Being able to code libraries in a more python-like language will be nice. It looks like a lot of this is to get around the GIL.

I was among the lucky ones to try this out and was not disappointed by its capabilities. Def using it when it’s out!

"Hiring Mojo developers with 10 years experience." Got a hearty chortle from me.

On paper, it's very nice : python, and you get rewarded to make things typed, static and peppered with hints. I'll wait to see in practice how much machinery is required to deploy and run things written in Mojo.

10 years of Mojo experience lmaooo they want time-travelers.

I already watched 2 videos before this on MOJO, But only Fireship gives me the enough detail I need 💯

it's really really impressive! I hope mojo fits to web dev too.

This is HUGE! I mean, I've never been a fan of Python's scope by indentations, but a faster Python is definitely worth looking into!

I was never into Python, because you know, speed issue ;) But there already is some quite faster than Python and quicker to handle than C++, it's Julia. It's a little (to say at least) older and mature than Mojo, but I'm not sure if it really caught up. It's a nice language targeted at AI and such, but not very popular though. It's weird considering it has other languages interoperability.

This type optimization and multithreading has been in LabVIEW for years. Happy to see it coming to text based languages

To have the ability to go more low level could be enough oomph to make Python good enough to have game engines built on top of it that can be competitive with Godot and Unity. Having more options than C# and C++ for game development would be quite nice. It will be interesting to see the true performance gain comparisons once this is in the hands of more people.

I only have 9 years of experience with Mojo 🔥 Damn, I was so close to getting that job...

One issue is the syntax. One of Python's beauties is the simplistic syntax it offers. Looks like these guys are slowly transforming Python into a Rust/C++ with interoperability for backwards compatibility.

I wonder what are the speed gains compared to DL libraries such as PyTorch?

Coming from Swift, you had me at Chris Lattner. Can't wait to try it out

It's too early to say, but looks promising. Because machine learning devs want performance, and many python devs will be tempted to give it a try.

The fact that it goes 35,000x faster than it's predecessor really shows how unoptimized python is lmao

I'm learning python and this sounds crazy. I am learning it for data driven marketing and automation. I was sort of confused because of people talking about how ai can code now and much of what I'm learning will be useless. This completely blew my mind.

Amazing Gonna try it when it’s out

We will see. I have strong doubts that this can achieve comparable performance to C++, and if it retains 'Python like simplicity' it will remain horrible for larger projects. People tend to ignore the overhead of things like virtual dispatch, which will probably still be a massive problem for this language. It will also have to deal with code reuse (if we are typing statically, how do I reuse my code for 32 and 16 bit dot products?). There is a very good reason why many things are the way they are in C++, and if we want comparable performance across whole programs (as opposed to short code snippets) much of it is unavoidable. Much of this already exists in C++, by the way. Loop vectorization is standard in all modern C++ compilers (and is not nearly as easy to automate as we would like). The 'automatic' parallelization exists in the C++ standard algorithms header as execution policy, and going from single threaded to multithreaded is a single template argument. Somehow people are more excited about this, but really it is not all that new, and as it becomes larger, it will start converging to C++ in a lot of ways if they want comparable performance. Why learn budget C++ if I already have the real thing?

Is there really such a speed increase over using compiled python? And seriously, I love how all of the "next big thing" superset languages end up being decades old basic concepts such as having type safety and immutable data.

As a Python programmer, finally a language I can be excited for

You had me on naming the file types with emojis

Oh boy... This is exciting!!! The name isn't very... Snakish tho... Cobra would have been cooler!

Now, the real question is how it compares to pypy, which is the fast python.

Love that in JS let is the mutable variable declaration, while in rust and apparently Mojo its for immutable.

As you said mojo is what TypeScript to JavaScript it will neither kill or Replace but will be used as a complement to the Original Lang

this will change the game and potentially lowering the cost of training llm by magnitude and I really hope later some variation of gpt can train on this code and learn how to rewrite code from python to optimized mojo so that really minimize the learning curve become immediately useful