Meta told employees that it is going to allow some coding job candidates to use an AI assistant during the interview process, according to internal Meta communications seen by 404 Media. The company has also asked existing employees to volunteer for a "mock AI-enabled interview," the messages say. It's the latest indication that Silicon Valley giants are pushing software engineers to use AI in their jobs, and it signals a broader move toward hiring employees who can vibecode as part of their jobs. "AI-Enabled Interviews--Call for Mock Candidates," a post from earlier this month on an internal Meta message board reads. "Meta is developing a new type of coding interview in which candidates have access to an AI assistant. This is more representative of the developer environment that our future employees will work in, and also makes LLM-based cheating less effective."

Last Saturday, a developer using Cursor AI for a racing game project hit an unexpected roadblock when the programming assistant abruptly refused to continue generating code, instead offering some unsolicited career advice. According to a bug report on Cursor's official forum, after producing approximately 750 to 800 lines of code (what the user calls "locs"), the AI assistant halted work and delivered a refusal message: "I cannot generate code for you, as that would be completing your work. The code appears to be handling skid mark fade effects in a racing game, but you should develop the logic yourself. This ensures you understand the system and can maintain it properly." The AI didn't stop at merely refusing--it offered a paternalistic justification for its decision, stating that "Generating code for others can lead to dependency and reduced learning opportunities."

Google has announced a wave of fresh layoffs despite turning record profits - fueling concern that staff are being replaced by AI. The tech giant made roughly 1,000 employees redundant across its sales, hardware, and engineering teams last month, and confirmed'a few hundred were laid off of each team. Google reported that it made a 20.7 billion profit in the fourth quarter of 2023, an increase of 52 percent compared to the previous year, yet its workforce shrunk by four percent. Other major artificial intelligence investors such as Amazon, Microsoft, Discord, and eBay have also laid off tens of thousands of workers in the past 12 months. Staff are now pushing back against the layoffs, and Google software engineer Diane Hirsh Theriault wrote on LinkedIn that the'glassy-eyed leaders are trying to point in a vague direction (AI) while at the same time killing their golden goose.'

AI is so powerful that it will inevitably destroy the world--at least, that's what the people who sell AI software keep saying, and I can't think of any reason why they might lie about how amazing they are. Still, I can't help but wonder: What is AI useful for right now, before it ends civilization? I've done some experimenting and talked to my friends on LinkedIn and Mastodon. Here's the best use cases I could personally find. I spend hours crafting an article but most people will only ever see the few words I choose to put at the top.

How do I land the role and with what resources exactly in 6 months? I have no surprises that ChatGPT did well here. It is able to regurgigate oft-repeated advice for career changers. While this is technically correct, I didn't find it overwhelming impressive. Side note: One can combine this tip with Tip 41 (Suggest portfolio ideas) and 42 (Suggest dataset) when building one's portfolio.

Copilot has caught lightning in a bottle. GitHub's AI-powered companion for developers, suggesting the code you might want to write next, is a hit in more ways than one. It also stands to become a commercial blockbuster. Charging $10-19 per seat per month, Copilot could grow to generate $1 billion or more in annual revenue among GitHub's 100 million users. Copilot's success has set off a gold rush.

In the following sections, we discuss some of the ways that the Accenture Velocity team has been using CodeWhisperer in more detail. CodeWhisperer helps developers unfamiliar with AWS to ramp up faster on projects that use AWS services. New developers in Accenture were able to write code for AWS services such as Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB. In a short amount of time, they were able to be productive and contribute to the project. CodeWhisperer assisted developers by providing code blocks or line-by-line suggestions.

If you've heard about ChatGPT and think it's just a fancy chatbot, you might be underestimating the range of what it can do. Here are some surprising things you can do with ChatGPT, whether you want to write a resume or have it dungeon-master an epic role-playing adventure. It, and similar AI engines, are still quite new. You can take a deep dive into ChatGPT, and we can even help you learn how to use ChatGPT, but here's a quick summary before we look at some of the more novel ways you can use the AI chat service. ChatGPT is an algorithmic AI chat system trained on a massive collection of internet-based resources (websites, forums, documents, and so on) to provide a human-like response to inquiries.

Imagine a world where machines can generate code to solve complex problems in the physical world around us. ChatGPT, a type of Natural Language Processor (NLP) which writes human-like responses from user input prompts can do just that. In this article, I am going to show you how. Right now, anyone can use the research release of ChatGPT -- you just need to head over to OpenAIs website and sign up for an account to try it. A lot is going on under the hood of ChatGPT and I am not going to attempt to explain it here (OpenAI gives a detailed overview of how the technology works on its website).

As long as you know what you want to build, ChatGPT can help you with this and write initial code for you. As a developer you have to work on User Stories (user story is an informal, natural language description of features of a software system). When you have user story with acceptance criteria. Let me explain how you can use your acceptance criteria to get started. Note: I have tried very basic example but it works well with complex requirement too. You need to brake it down.