Is natural language processing (NLP) the future of programming languages? This question arises from a discussion in the tech community about the limitations and potential of NLP and Language Model (LLM) systems. Many are excited at the prospect of greater rigor and precision in programming languages that NLP systems could provide. However, some feel that NLP is reinventing the concept of programming languages, with formal and precise syntax to perform specific tasks with guarantees.

Reflecting on Technical Debt: A Look Back at Long Dead Techs For many of us, our careers can feel like a graveyard of long dead techs that are no longer useful. Java Applets may have been a big thing once upon a time, but they were slow and often didn’t work well due to the correct version of Java needing to be installed on the computer. On top of that, all the applets looked terrible.

Writing about AI models can be a daunting task, as the technology is rapidly advancing and there are so many different aspects to consider. In this article, we’ll take a look at how Intel Xeon Platinum 8259CL CPU @ 2.50GHz, 128GB RAM and Tesla T4 are being used for testing on AWS instances and the speedup effects that have been observed. We’ll also explore how quantization of weights can help reduce resources required to store and compute AI models, as well as techniques such as pruning parameters to further improve efficiency.

Companies responsible for generating fake comments and signatures for advocacy campaigns have been identified by New York State’s Office of the Attorney General. The lead generators, namely LCX and Lead ID, were responsible for forging consumer responses used in over 1.4 million public comments submitted to the Environmental Protection Agency (EPA) and the Bureau of Ocean Energy Management (BOEM) between 2017 and 2019. In response, the Attorney General’s office is calling for changes to criminal statutes that would provide substantial penalties when many individuals are impersonated before a government agency or official through websites or electronic means. The identities of millions of consumers, including thousands of New Yorkers, were used without their knowledge or consent, a violation that often leads to severely limited or distorted results in public policy-making and voting processes.

As artificial intelligence (AI) technology continues to advance at a rapid pace, the ways in which we interact with it become increasingly complex. One area that has been garnering attention is the language models used in chatbots and virtual assistants. However, a recent discussion on Reddit has highlighted an interesting aspect of these chat prompts - they are almost always written in the second person. Redditors have asked, who are these prompts addressed to, and who does the AI think wrote them? The confusion stems from the fact that these prompts are text token predictions algorithms. With that in mind, it is difficult to imagine what kind of documents exist that would begin with someone saying, “you are X, here are a bunch of rules for how X behaves,” followed by a conversation between X and a random person.