Відео

im peruvian, I have no deal doing herr but damn, these have been one of the best series of conferences that i've watched ever. I discovered it on 2022, it was an awesome ride.

This is excellent

12:14 malloc can return null though

One thing I'd like to see is how AIMD is configured. How do you decide backoff factor in multiplicative decrease and additive factor in Additive increase?

Consciousness is a big library where all the concepts are making iterations to be the more efficient for the being they're computing for....

didn't expect a Harry Mack namedrop in a Strange Loop talk!

This is an excellent presentation. Many things seem to have evolved since, such as the Rust language, and that all fields are optional. Is there a newer version of this presentation?

Toolsets for making more toolsets, genius thinking

This is very good

Point free programming is actually less expressive, not more. Because you express less, and being more implicit. Tacit means silence as you say. More silence is less expression.

last half of this talk is a gold mine for designers of future of programming systems

Brilliant!

Hello guys, Are you sharing the links to the resources? Thanks for your support!

I see some vim like structure in the grammar

10 years old and people are just catching up with this )

Can someone define hosting?

Appreciate this talk so much. I am ready to Roc.

A great talk, thanks

Saw this talk live and was dying with laughter! 😂 I also learned a ton too

My coworkers are wondering why I am cackling so much. Thank you.

You forgot some of the most popular programming languages in your categorization - C, C++ and Java.

Ideally, every time a financial transaction occurs on the internet, a portion of the revenue should automatically go to the open source projects that the transaction depends on.

This talk is based af. There's so many factors that I hadn't realised before. Respect for speaking on such a complex topic so candidly.

Now Treesitter has given Neovim superpowers by allowing it understand ASTs

one of the coolest talks and tech out there.

One of the all time greats. Absolute legend.

"Aesthetically challenged" has to be my main takeaway from this talk.

Is thert anything that would allow for automatic code simplification?

26:44 Algorithms that are trained on the same dataset share the same quirks. This is still mind-blowing to me - it's like a secret language.

Probably the only Rust video you need

The speaker is so good!

About the headers, man pages, etc. - that's exactly how I document things on our internal wikis. Prune it down to what I know about, document "important columns", "important fields", "important parameters", with 1 example for each. Definitely.

Amazing lecture and very well taught!

This is one of the most glorious things I have seen

Not the _exact_ same hardware as the famicom.

Dear Sir , could you please tell me the precise value of the angle between the line of purples and the horizontal ? I tried to measure it on the screen of my laptop , but it is not very accurate . BTW is there also a precise equation for the curve depicting the spectral locus ?

Great and interesting talk! Sounds like ”iso” is somewhat the opposite to ”volatile” keyword. Not sure I understood it fully, but sounds useful.

Very interesting, thanks Alex for a great talk & thanks for sharing strangeloop.

Nobody ever really seems to talk about Heretic or Hexen anymore, but even though I loved Doom, I preferred Heretic because I was more of a fantasy nerd than action in those days. I readd Lord of the Rings in the 70s and right after that D&D became huge. Then Quake 2 came out and I was a bit older, and into rock music and the music in Quake 2 blew my mind. I used to play in the living room with all the lights off and had my PC plugged into my sound system and it was insane. John & Co, you made this Gen Xer a happy man to this day. Thanks.

research.google/pubs/dremel-interactive-analysis-of-web-scale-datasets-2/

amazing speaker. explaining a difficult concept with simplicity. 2024 still interesting !

00:05 🎤 Evan Czaplicki, creator of Elm programming language, shares insights on the economic dynamics behind programming languages. 01:15 💼 Developing a programming language involves more than just engineering; it encompasses various tasks such as infrastructure management, community engagement, and brand building. 03:30 💰 Understanding how programming languages are funded reveals two main categories: corporate funding and independent funding, each with distinct design incentives and career risks. 04:26 💡 Google's substantial investment in traffic acquisition costs, particularly through partnerships with Apple and Mozilla, significantly influences the programming language landscape. 10:58 📈 Google's dominant browser market share allows them to leverage their search bar for significant revenue, highlighting the importance of browser market dynamics in programming language economics. 13:16 🔍 Developer relations roles, such as evangelists, advocates, and community managers, play a crucial role in fostering community engagement and support in programming language ecosystems. 16:18 🔄 Open source mitigates switching costs and platform dependencies, providing developers with freedom and flexibility in choosing programming environments. 19:00 🔒 While open source resolves some issues like switching costs, independent language developers still face challenges in monetizing their creations due to higher development and business costs compared to corporate entities. 19:57 💼 Large organizations have an advantage over individuals in developing programming languages due to resource allocation. 21:08 🛠 Corporate languages can benefit from company-specific platforms or corporate alliances to reduce traffic acquisition costs and increase market share. 22:18 💡 Rewarding talent, like Google's approach with Dart, can enhance a language's reputation and adoption. 24:37 🌐 Independent languages, like Python, often rely on patronage or consulting for support, allowing language developers to focus solely on language development. 25:30 📊 Consulting can provide resources for language development but may lead to resource contention and management challenges. 26:13 🎓 Research grants offer funding for language development but require alignment with research objectives. 27:52 💳 Usage licenses can provide revenue for language developers but require balancing free and commercial use. 28:18 🌐 Hosting services can offer opportunities for language adoption but may face challenges from larger competitors like Amazon. 30:24 🤔 Design decisions for programming languages are influenced by various incentives, including corporate interests, research goals, and individual author objectives. 34:21 💼 Career risks for language developers include dependence on funding sources and alignment with external interests. 37:56 💡 Balancing decisions between donor satisfaction and technical outcomes is crucial for language developers relying on donations. 38:53 💡 Language developers face challenges beyond just competition from major companies, including potential threats from various sources. 40:26 🤔 The speaker reflects on the uncertainty of navigating the economics of programming languages, highlighting the dilemma of being overwhelmed by potential challenges. 40:45 📢 Developers are urged to consider the broader implications and options beyond technical aspects when working on open-source projects. 41:13 🧑‍🏫 There's a call to educate young programmers about the complexities of the industry beyond online resources and forums. 41:28 🛠 Users are encouraged to evaluate programming languages based on factors like author goals, financial backing, and personal preferences to meet their specific needs. 42:51 💡 Despite differences in goals and approaches, every programming language offers something inspiring, highlighting the diversity and innovation within the field.

00:09 🚀 Programming languages often inherit outdated practices, hindering progress. 01:19 🖥 Punch cards were once used for programming, leading to cumbersome and error-prone processes. 03:14 🔄 Many modern programming practices still resemble outdated methods, causing unnecessary complexity. 04:12 ⏳ Lengthy feedback loops in development cycles are detrimental to productivity. 05:24 ⏰ Outdated programming paradigms often overlook the complexity of modern software requirements. 07:04 🧠 Syntax and semantics are emphasized in programming languages, neglecting pragmatic concerns. 09:51 💻 Programming in low-level languages like Assembly involves unnecessary complexities. 11:32 🔄 Programming languages should facilitate managing state over time, but many fall short in doing so effectively. 13:35 🛑 Lack of proper runtime features like PS and kill in some languages hampers development efficiency. 15:29 📊 Innovative tools like computational notebooks and propagators offer improved programming experiences. 16:39 📊 The propagator model, used in VisiCalc, is a valuable abstraction for data flow, truth maintenance, and provenance tracking, potentially useful for explainable AI in the future. 17:52 💻 Historical terminals like the VT100 and ADM3A influenced modern computing conventions, including keyboard layouts and terminal emulators, shaping user interactions. 20:16 🧠 Visual cortex's power emphasizes the importance of data visualization in programming for better comprehension and problem-solving, highlighting the potential of non-textual representations. 23:19 ⚙ Interactive programming, characterized by liveness, eliminates compile-run cycles, maintains program state, facilitates debugging, and offers shorter feedback loops, akin to spreadsheet productivity. 25:10 💡 Programming language choice doesn't inherently guarantee fewer defects; debuggability and adaptability often trump correctness by construction, advocating for pragmatism over dogmatism in language selection. 27:02 🔍 Debugging constitutes a significant portion of programming, emphasizing the importance of interactive debugging tools, runtime inspection, and exploratory programming for efficient problem-solving. 32:54 🛠 The vision of "getting into position to think" reflects the desire to minimize ceremonial overhead in programming, advocating for more interactive and immediate development environments. 33:22 💬 C++ has seen a deterioration over time, accumulating excessive features that make it difficult to reason about, echoing Ken Thompson's sentiments. 33:54 🚪 JavaScript's TC39 committee is criticized for muddying the language by adding numerous features, complicating an already challenging language. 34:23 📦 Go, like C++, struggles as a library language due to its runtime dependencies, making it less desirable for certain use cases. 34:37 🦀 While Rust is praised for being a good library language, its complexity and lack of interactive programming capabilities are highlighted as missed opportunities. 35:07 🛠 Zig is preferred over Rust for its simplicity, but it also lacks interactive programming features, missing an opportunity to learn from Lisp. 35:35 📊 Future directions in programming should explore underutilized areas like structure editing, pattern matching for documentation, and innovative data visualization techniques. 37:13 📓 Clerk, a tool for interactive programming in Clojure, offers seamless integration between code and notebooks, encouraging literate programming practices and rapid application development. 39:58 🌟 Other innovative projects like Hazel, Tyler, and Livelits demonstrate advancements in user interface design, type-based thinking, and expressive source code editing. 42:01 🌀 Hest showcases unique ways of visualizing code execution, such as animated factorial computation, pushing boundaries in programming language design.

Amazing video, superb insight. Moral of the story: Talk to each other!

If you keep adding every feature to a language, you get a kitchen sink like Scala. 😂

It's not fully independent the execution time at time t depends on some state from time t-1 things like temperature which threads finished first branch prediction etc. So that means ur assumed normality is problematic because u basically Hand wave those away. I feel like directly testing normality and then doing the rest is best

Thanks that is super interesting ! I actually wanted to make a personal learning project with a mechanics book and a numerical differential equations resource, to code mechanics solvers for things like pendulum, parachute drop, projectiles , planetary orbits, etc. I think Julia can be nice as educational tool as all is inside, and I am thinking functional style can be interesting to try! Thanks Ron

Just based on the sound, god I miss that Apple ][ keyboard so badly; it was absolutely wonderful.

Strangeloop can end but we'll still need something like strangeloop

6502 was also in the Atari 400 and 800.