The Alternative Implementation Problem

What I’ve concluded, based on experience, is that positioning your project as an alternative implementation of something is a losing proposition. It doesn’t matter how smart you are. It doesn’t matter how hard you work. The problem is, when you build an alternative implementation, you’ve made yourself subject to the whims of the canonical implementation. They have control over the direction of the project, and all you can do is try to keep up.

Inside the Cult of the Haskell Programmer

That Haskell never gained widespread adoption exemplifies a paradoxical truth in software engineering: Great programming languages aren’t always great for programming.

Brief meta note — breaking with the theme of the channel, but that's moderator's privilege :)

I want to highlight that the above links by Mariano have particularly nice formatting.

• Link title doubles as the URL, which is nice for archiving and (IIRC) for folks using assistive tech.
• There's a clearly demarcated quote, which is nice because it gives you an appetizing taste of the article.
• If Mariano wanted to add some commentary or his own brief summary, he could do that separately from the quote and it'd be easy to scan.
• No need for Slack's "rich" previews (which are about as modest and meaningful as roadside billboard advertisements)

Damaged Earth Catalog

We are humans and might as well get used to it. So far, remotely done power and glory—as via government, big business, formal education, church—has succeeded to the point where gross profits obscure actual loss. In response to this dilemma and to these losses a realm of intimate, community power is developing—power of communities to conduct their own education, find their own inspiration, shape their own environment, and share their knowledge with others. Practices that aid this process are sought and promoted by the DAMAGED EARTH CATALOG.

New Graphical Programming Language for Audio

Audio software development is rapidly moving towards incorporating machine learning-based processing. While research scientists are continuously presenting us with inventive results in the field of AI, there is a lack of software engineering tools to utilize these results.

How long can you all keep this up before this great new formatting trend gets broken?

Oh ... sorry

Bend: a parallel language

With > Bend > you can write parallel code for multi-core CPUs/GPUs without being a C/CUDA expert with 10 years of experience. It feels just like Python!

No need to deal with the complexity of concurrent programming: locks, mutexes, atomics... > any > work that can be done in parallel > will > be done in parallel.

Twitter announcement (includes a short video demo)

After almost 10 years of hard work, tireless research, and a dive deep into the kernels of computer science, I finally realized a dream: running a high-level language on GPUs. And I'm giving it to the world! Bend compiles modern programming features, including:

• Lambdas with full closure support

• Unrestricted recursion and loops

• Fast object allocations of all kinds

• Folds, ADTs, continuations and much more

To HVM2, a new runtime capable of spreading that workload across 1000's of cores, in a thread-safe, low-overhead fashion. As a result, we finally have a true high-level language that runs natively on GPUs!

Once upon a time somewhere here, lost to the sands of a freemium slack instance, I shared a link about research some friends of mine were doing through the developer success lab on code review anxiety. Today they published the workbook that they produced from that research!