"While general-purpose languages like Python, C++, and Java remain popular in AI development," writes VentureBeat, "the resurgence of AI-first languages signifies a recognition that AI's unique demands require specialized languages tailored to the domain's specific needs... designed from the ground up to address the specific needs of AI development." Bend, created by Higher Order Company, aims to provide a flexible and intuitive programming model for AI, with features like automatic differentiation and seamless integration with popular AI frameworks. Mojo, developed by Modular AI, focuses on high performance, scalability, and ease of use for building and deploying AI applications. Swift for TensorFlow, an extension of the Swift programming language, combines the high-level syntax and ease of use of Swift with the power of TensorFlow's machine learning capabilities...

At the heart of Mojo's design is its focus on seamless integration with AI hardware, such as GPUs running CUDA and other accelerators. Mojo enables developers to harness the full potential of specialized AI hardware without getting bogged down in low-level details. One of Mojo's key advantages is its interoperability with the existing Python ecosystem. Unlike languages like Rust, Zig or Nim, which can have steep learning curves, Mojo allows developers to write code that seamlessly integrates with Python libraries and frameworks. Developers can continue to use their favorite Python tools and packages while benefiting from Mojo's performance enhancements... It supports static typing, which can help catch errors early in development and enable more efficient compilation... Mojo also incorporates an ownership system and borrow checker similar to Rust, ensuring memory safety and preventing common programming errors. Additionally, Mojo offers memory management with pointers, giving developers fine-grained control over memory allocation and deallocation...

Mojo is conceptually lower-level than some other emerging AI languages like Bend, which compiles modern high-level language features to native multithreading on Apple Silicon or NVIDIA GPUs. Mojo offers fine-grained control over parallelism, making it particularly well-suited for hand-coding modern neural network accelerations. By providing developers with direct control over the mapping of computations onto the hardware, Mojo enables the creation of highly optimized AI implementations.

According to Mojo's creator, Modular, the language has already garnered an impressive user base of over 175,000 developers and 50,000 organizations since it was made generally available last August. Despite its impressive performance and potential, Mojo's adoption might have stalled initially due to its proprietary status. However, Modular recently decided to open-source Mojo's core components under a customized version of the Apache 2 license. This move will likely accelerate Mojo's adoption and foster a more vibrant ecosystem of collaboration and innovation, similar to how open source has been a key factor in the success of languages like Python.

Developers can now explore Mojo's inner workings, contribute to its development, and learn from its implementation. This collaborative approach will likely lead to faster bug fixes, performance improvements and the addition of new features, ultimately making Mojo more versatile and powerful.
The article also notes other languages "trying to become the go-to choice for AI development" by providing high-performance execution on parallel hardware. Unlike low-level beasts like CUDA and Metal, Bend feels more like Python and Haskell, offering fast object allocations, higher-order functions with full closure support, unrestricted recursion and even continuations. It runs on massively parallel hardware like GPUs, delivering near-linear speedup based on core count with zero explicit parallel annotations — no thread spawning, no locks, mutexes or atomics. Powered by the HVM2 runtime, Bend exploits parallelism wherever it can, making it the Swiss Army knife for AI — a tool for every occasion...

The resurgence of AI-focused programming languages like Mojo, Bend, Swift for TensorFlow, JAX and others marks the beginning of a new era in AI development. As the demand for more efficient, expressive, and hardware-optimized tools grows, we expect to see a proliferation of languages and frameworks that cater specifically to the unique needs of AI. These languages will leverage modern programming paradigms, strong type systems, and deep integration with specialized hardware to enable developers to build more sophisticated AI applications with unprecedented performance. The rise of AI-focused languages will likely spur a new wave of innovation in the interplay between AI, language design and hardware development. As language designers work closely with AI researchers and hardware vendors to optimize performance and expressiveness, we will likely see the emergence of novel architectures and accelerators designed with these languages and AI workloads in mind. This close relationship between AI, language, and hardware will be crucial in unlocking the full potential of artificial intelligence, enabling breakthroughs in fields like autonomous systems, natural language processing, computer vision, and more.

The future of AI development and computing itself are being reshaped by the languages and tools we create today.
In 2017 Modular AI's founder Chris Lattner (creator of the Swift and LLVM) answered questions from Slashdot readers.

A draft law that aims to criminalize and prosecute those who "create conditions for online piracy" has been approved by Bulgaria's Council of Ministers. The proposed amendments are Bulgaria's response to heavy criticism from the United States, most publicly via the USTR's Special 301 Reports. It's hoped that prison sentences of up to six years will send a deterrent message. TorrentFreak reports: Last week the Council of Ministers approved draft amendments to the Criminal Code that aim to protect authors, rightsholders, and state revenue. "Crimes against intellectual property should be perceived as acts with a high degree of public danger, not only considering the rights and interests of the individual author, which they affect, but also considering the financial losses for the holders of these rights, which also affects the revenues in the state budget," the explanatory notes read.

The stated aim of the bill is to solve identified weaknesses by upgrading substantive law to counter computer-related crimes against intellectual property. The text references those who "build or maintain" an information system or provide a service to the information society for the purpose of committing crimes. The notes offer further clarification. "The bill aims to prosecute those who create conditions for online piracy -- for example, by building and maintaining torrent tracker sites, web platforms, chat groups in online communication applications for the online exchange of pirated content, and any other activities that may fall within the definition of 'information society service' within the meaning of the Electronic Commerce Act (pdf) and which are carried out with the specified criminal purpose."

The Bulgarian government notes that the amendments are part of its response to criticism in the USTR's Special 301 Report. [When countries are placed on the USTR's 'Watch List' for failing to combat piracy, most can expect years of pressure punctuated by annual Special 301 Reports declaring more needs to be done. Bulgaria was on the Watch List in 2015 when the USTR reported "incremental progress" in the country's ability to tackle intellectual property infringement, albeit nowhere near enough to counter unsatisfactory prosecution rates. In 2018 the United States softened its position toward Bulgaria, removing it from the Watch List on the basis that the government would probably deliver.] The fact that Bulgaria has been absent from the 'Watch List' for the last five years is down to "specific commitments" made by the authorities, with progress being monitored closely by the United States in respect of Bulgaria's future status. The draft approved by the Council of Ministers last week envisions sentences of up to six years imprisonment and a fine of up to $5,600. According to the draft, there is no intent to prosecute individual users who simply consume pirated content.

The wildly popular series Squid Game drew criticism for its English subtitles. Just how did those happen? CNET News: Subtitlers contend with unrealistic expectations, tight deadlines and competition from clunky machine translation. Often, their work goes underappreciated, under the radar. Sometimes Uludag would be sent a file to translate at 11 p.m. -- "and they would say we need it by 8 a.m." Without skilled subtitlers, movies such as historic Oscar winner Parasite are lost in translation. Yet the art of subtitling is on the decline, all but doomed in an entertainment industry tempted by cheaper emerging artificial intelligence technologies. Subtitlers have become a dying breed.

And this had been the predicament before the world started watching a little show called Squid Game. In 28 days, Squid Game leapfrogged Bridgerton as Netflix's most popular series ever. It also inadvertently started a global conversation about bad subtitles. While critics lauded the South Korean battle royale-themed drama for its polished production values, gripping story and memorable characters, many accused Netflix of skimping on the quality of Squid Game's English subtitles.

A prime example: Ali, the Pakistani laborer, shares a touching moment with Sang Woo, an embezzler who graduated from Korea's top university. Sang Woo suggests Ali call him hyung, instead of sajang-nim or "Mr. Company President." The term hyung literally translates as "older brother," a term used by a man to address an older man with whom he has formed a closer bond. That's Ali and Sang Woo. Yet, the line "Call me hyung" was translated as "Call me Sang Woo." A rare moment of compassion and humanity, amid all the gloom and gore, was lost. [...]

Yet Netflix, which abandoned its in-house subtitling program Hermes one year after its launch in 2017, is interested in a different area of translation: dubbing. It's not hard to see why. For example, 72% of Netflix's American viewers said they prefer dubs when watching Spanish hit Money Heist, Netflix's third most popular show ever. Unfairly criticized, underfunded and facing a lack of support from the entertainment industry, subtitlers are on the brink. At least the Squid Game controversy illuminated an unsung fact: Good subtitles are an exceptionally difficult art.

An anonymous reader writes: Saturday the Perl Advent Calendar entered its 19th year by describing how the Wise Old Elf used a Calendar::List module from CPAN to update his Elven Perl Monger website with all the dates for 2019. ("It is a well known fact that all of Santa's Elves are enthusiastic Perl Developers in their free time, contributing regularly to many of the amazing Perl projects we've come to know and love...")

But meanwhile, the Perl 6 Advent Calendar was describing how Santa gets data into the North Pole's CRM by defining a grammar unit which can be parsed using a built-in method (to trim out children's signatures) -- only to be chastised by his IT elf for failing to document his solution using Perl 6's built in markup language.

And 24Ways.org is also presenting its 14th annual "advent calendar for web geeks," a nicely-formatted offering that promises "a daily dose of web design and development goodness to bring you all a little Christmas cheer."

Meanwhile, the Go language site Gopher Academy launched their 6th annual advent calendar, describing how to split data with content-defined chunking.

Jose Valim, creator of the Elixir programming language, has also announced the fourth annual "Advent of Code," an event created by Eric Wastl that features an ongoing story that presents "a series of small programming puzzles for a variety of skill sets and skill levels in any programming language you like." (The folks behind the Nim programming language are even organizing their own leaderboard at Nim-lang.org.)

And even QEMU, a free and open-source emulator performing hardware virtualization, is getting into the act with a QEMU advent calendar offering "an amazing QEMU disk image" each day through December 24th.
Feel free to leave a comment with your own reactions -- or with the URL for your own favorite online geek advent calendars...

An anonymous reader writes: "Nim compiles and runs fast, delivers tiny executables on several platforms, and borrows great ideas from numerous other languages," according to InfoWorld. After six years, they write, Nim is finally "making a case as a mix of the best of many worlds: The compilation speed and cross-platform targeting of Go, the safe-by-default behaviors of Rust, the readability and ease of development of Python, and even the metaprogramming facilities of the Lisp family..."

Fossbytes adds that Nim's syntax "might remind you of Python as it uses indented code blocks and similar syntax at some occasions. Just like Rust and Go, it uses strong types and first class functions... Talking about the benchmarks, it's comparable to C. Nim compiler produces C code by default. With the help of different compiler back-ends, one can also get JavaScript, C++, or Objective-C.
There's an improved output system in the newest release, and both its compiler and library are MIT licensed. Share your thoughts and opinions in the comments. Is anybody excited about writing code in Nim?

An anonymous reader writes: Nim is a young, statically typed programming language that has been getting more attention recently. See these articles for an introduction: What is special about Nim?, What makes Nim practical? and How I Start: Nim. The language offers a syntax inspired by Python and Pascal, great performance and C interfacing, and powerful metaprogramming capabilities. The author of "Unix in Rust" just abandoned Rust in favor of Nim and some early-adopter companies are starting to use it as well.

ElectricSteve writes "Metamaterials are man-made substances designed to do some very weird things that natural materials don't. The path of a beam of light through a natural material like glass is predictable, but scientists from the California Institute of Technology have engineered an optical material that bends light in the wrong direction. This new negative-index metamaterial (NIM) could have several valuable uses including invisibility cloaking, superlensing (imaging nano-scale objects using visible light), and improved light collection in solar cells."

Pseudo Nim wrote to us with an interesting editorial from IT Director. Citing internal sources inside of Microsoft, the column claims that due to fear of competing with Linux in the embedded space, the WinCE folks are considering open sourcing Windows CE. I don't know how much stock I place in the rumours, but it's a very interesting proposition.