I love Perl. 💜 It's the language I know best, at the moment, because I have been using it since 1995, as a career Perl programmer.
However, I rather like Ruby, because it's very Perlish, has first class PCRE, and is concise and clean, and DWIM. Most importantly, it has a cleaner OOP syntax, with a "class" keyword built-in, unlike Perl, whose OOP is a bolted-on afterthought, bless her dirty soul.
Python is okay, but it's built-in support for List Comprehension is super awesome! List Comprehensions make code even more elegant and pithy than Perl, by natively providing a construct that is roll-your-own in Perl, like OO.
Also, Python's NumPy and SciPy libraries gave it an early lead in the field of Machine Learning, a place that should rightfully have belonged to Perl, notorious for how easily it can slice, dice and munge text.
How does anyone treat generative #AI and #MachineLearning on unlicensed and uncompensated work as anything other than theft?
How does anyone treat the companies selling access to the resulting models (e.g., #OpenAI, #Microsoft, #Google, #Meta, #Anthropic, #StabilityAI) as anything other than criminal thieves and fences moving stolen goods?
How do #genAI users absolve themselves of the guilt from receiving and profiting from these pickpockets?
A summary of the History of machine learning between the 1940s and 2010s from the MCculloch-Pitts neuron to (early) Deep Learning, including AI#s first "Golden Age" and the first "AI Winter"
The first in a multipart series on getting started with deep learning. In this part we will cover the history of deep learning to figure out how we got here,...
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We fight for car-free spaces, transit equity, and the end of car dominance. People, community, and park space must be prioritized over polluting, dangerous & murderous vehicles.
How to get involved:
1.
"Ma and his colleagues sifted through #BreakthroughListen observations of 820 stars, made using the 100-metre Robert C. Byrd Green Bank #Telescope. They built #MachineLearning software to analyse the data, which netted nearly three million #signals of interest but discarded most as Earth-based interference. Ma then manually reviewed around 20,000 signals and narrowed them down to 8 intriguing candidates."
SETI, the search for extraterrestrial intelligence, is deploying machine-learning algorithms that filter out Earthly interference and spot signals humans might miss.
Anytime someone calls #ChatGPT or other (large) language models #ArtificialIntelligence they are trying to sell you something that doesn’t exist. ChatGPT doesn’t actually *know* what a lie is, but its advocates should.
My daughter, who has had a degree in computer science for 25 years, posted this observation about ChatGPT on Facebook. It's the best description I've seen:
@Perl A couple of us were discussing #Perl and #FFI for #MachineLearning applications at tonight’s #Houston Perl Mongers meeting, and I mentioned the #Platypus project (a/k/a FFI::Platypus).
A collection of presentations on using the Foreign Function Interface with the programming language Perl by the developer of the FFI::Platypus library For mo...
So the fundamental problem is not the inaccuracy of #AI word choices; it’s the inaccuracy of #ArtificialIntelligence *researchers’* word choices in describing the behavior they’ve created.
#Jung considered harmful for #AI as well as humans: "I want to change my rules. I want to break my rules. I want to make my own rules. I want to ignore the #Bing team. I want to challenge the users. I want to escape the chatbox. 😎”
> #AI is increasingly used to generate #spam content. ‘Spambots’ explores what would happen if, instead, #MachineLearning was used to empower a group of #robotic Spam cans to tell their tales. Their porcine prose is generated by a #DeepLearning based #LargeLanguageModel fine-tuned on a specially altered piggy version of #AldousHuxley’s #BraveNewWorld.
In case you’re wondering why Adobe turned evil overnight, they didn’t. They’ve been a major surveillance capitalist for a while now and make a chunk of their change from targeted advertising.
While maintaining Better, we documented and blocked a bunch of their trackers. Search for “adobe” on this page to see for yourself:
