Tag Archives: coding

‘Vibe Coding’ Surpasses ‘Ponkotsu’ as Collins Dictionary’s Word of the Year | Technology

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‘Vibecoding’, an innovative software development approach that leverages artificial intelligence to transform natural language into computer code, has been selected as Collins Dictionary’s Word of the Year for 2025.

Collins’ lexicographers track the Collins Corpus, which comprises 24 billion words sourced from various media, including social platforms, to compile an annual roster of new significant words that illustrate our constantly evolving language.

They selected vibecoding as the word of the year following a noticeable surge in its usage since its introduction in February.

The term was introduced by Andrej Karpathy, the former AI director at Tesla and a founding engineer at OpenAI, to explain how artificial intelligence can develop applications as if the code is irrelevant.


Other notable additions to the list include “biohacking,” which refers to the practice of modifying the body’s natural functions to enhance health and lifespan.

Another term is “Clunker,” a derogatory reference to a computer, robot, or AI, initially popularized by Star Wars: The Clone Wars. This term has rapidly spread on social media, often reflecting disdain and distrust towards AI chatbots and platforms.

The word “glaze,” which denotes excessive or unfair praise, is also gaining traction this year.

Additionally, “Aura Farming” has emerged, describing the intentional cultivation of a distinctive and appealing personality, essentially the art of appearing cool.

While popular among gamers, it gained broader visibility this year thanks to the viral “Boat Kid” video, which sparked a dance trend embraced by celebrities like American football player Travis Kelce.

Tech industry leaders, informally known as the Tech Brothers, were dubbed “broligarchies” after their eye-catching presence at President Donald Trump’s inauguration, which also landed them on the list.

The term “henry,” an acronym for “high-income but not yet wealthy,” has seen increased usage and was also coined by Collins.

Other entries include “cool vacations,” referring to trips taken in cooler climates, and “task masking,” which denotes the act of creating a false impression of productivity at work.

It is also characterized by “micro-retirement,” defined as a break in employment periods to engage in personal interests.

Alex Beecroft, Managing Director at Collins, remarked: “Choosing Vibecoding as the word of the year perfectly encapsulates the evolution of language alongside technology. This marks a significant transformation in software development, making coding more accessible through AI.”

“The seamless fusion of human creativity and machine intelligence illustrates how natural language is fundamentally transforming our interactions with computers.”

Source: www.theguardian.com

What is Vibe Coding and Is it Important to Use AI?

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Do you want to get AI to write software for you? It’s coding of the atmosphere

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I want to write software, but do you have a first clue as to where to start? Enter “Vibe Coding.” This is the term that swept the Internet to explain the use of AI tools, including large-scale language models (LLMS), such as ChatGPT, to generate computer code even when it is not programmable.

What is atmospheric coding? Where did it come from?

“Vibe coding basically refers to using generated AI to generate the entire code for your app, not just to assist with code.” Noah Jansilaksa at Bentley University in Waltham, Massachusetts. Users will ask or ask for LLM-based models such as CHATGPT, CLAUDE, COPILOT, etc., to prompt, write code for the app or service, and the AI system will do all the work.

The term was coined by Andrej Karpathy, the head of AI at Tesla and founding engineer at Openai, the manufacturer of ChatGpt. February, he Posted on x “A new type of coding” is called “vibe coding.”

Karpathy explained that “we give in completely to the atmosphere, accept exponential functions, and even forget that the code exists.” The term was born and ideas were established. “It captured a moment that resonated with so many people because there are so many people who are non-programmers who can start playing with LLMS, write code and get great results from them,” says software developer Simon Willison.

What are the key points of coding the atmosphere?

Software engineering is difficult to learn. As a result, many people don’t care. Vibe coding helps people with ideas for tools, apps and services without the challenge of learning the details of programming languages.

“On the one hand, it’s a game changer. Many people say it’s coding the atmosphere, and in the course of some encouragement cycles, it’s better than what you can do for those who can’t programme, which is amazing.” Matt wood At Northumbria University, UK. But it can also lead to software that is incomplete and scattered with errors, he adds.

So is a vibrator a good or bad thing?

Opinions are divided. “All of these people have made the outrageous claims on LinkedIn and Twitter that no one needs to learn to program,” says Willison, who thinks it’s an exaggeration to the power of coding in vibes.

“My feeling is that this is a promising direction that’s going to get much better and we’ll see more in the near future, but it’s a bit limited now and there are some reliability issues,” says Giansiracusa. The code created is often buggy. The people who are urging it don’t have the inherent knowledge to fix it, and therefore rely too much on the same LLM who made the error to fix them.

Does Vibe Coding change software engineering?

One of the big claims about AI is its ability to take on our work. However, despite some social media boasting, there is little evidence that vibe coding will replace software engineers. “We’re not going to replace programmers,” Wood says.

“I feel that the job of a software engineer is to create software that works,” Willison says. “One of the reasons why we don’t think these systems will leave us out of our work is that in reality the vast amount of work done by software engineers has nothing to do with entering the code.”

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Source: www.newscientist.com

AI Generates Playable Doom Game Without Coding

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An AI-generated replica scene from the computer game Doom

ID Software

Recreating classic computer games with AI Doom It's playable without any computer code or graphics, and researchers on the project say it may be possible in the future to use similar AI models to create games from scratch, in the same way that we currently create text and images.

This model Game NGenIt was compiled by Dani Walewski of Google Research and his colleagues, who declined to be interviewed. New ScientistAccording to them paper According to the study, the AI ​​can play for up to 20 seconds while retaining all the features of the original, including score, ammo levels, map layout, etc. The player can attack enemies, open doors, and interact with the environment as normal.

After this period, the model's memory begins to run out and the illusion begins to break down.

original Doom It was released in 1993 and has since become a popular subject for computer science projects. Running on specially restricted hardware Toasters, treadmills, espresso machines, etc.

But in all of these cases, the hardware is simply running the original game's code. What GameNGen does is fundamentally different: a type of AI called a neural network learns by observation how to recreate a game, without ever seeing the game's code.

The researchers first created an AI model that learned how to interact with Doom in a human-like way, then had it play the game over and over again, and then the second AI model learned how to interact with Doom in a human-like way. Stable diffusion The image generator learned how the game state changes with hundreds of millions of inputs.

The second model was essentially a copy of the game, with all of the knowledge, rules, and instructions from the original code encoded into a mysterious network of artificial neurons within its own architecture. In tests, human players were slightly better than chance at distinguishing between short clips of the game and clips of the AI ​​simulation.

In their paper, GameNGen's developers claim that this is a proof of concept that games can be created by neural networks rather than lines of code. They suggest that games can be generated from text descriptions and concept art, making them cheaper to produce than using human programmers.

Andrew Rogojski Researchers from the University of Surrey in the UK say the idea of ​​having neural networks hallucinate game environments and human interactions is an interesting step forward, but it's not meant to replace human game designers.

“I don't think it's the end of game studios. I think what game studios have is the imagination and the skill – the ability to actually create these worlds, understand gameplay, understand engagement, understand how to draw us into a story – that's not just the nuts and bolts or bits and bytes,” he says. “There's something very human about creating compelling experiences that we humans enjoy, and that's going to come primarily from other humans at the moment, and for the foreseeable future.”

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Source: www.newscientist.com