"There's a new kind of coding I call'vibe coding', where you fully give in to the vibes, embrace exponentials, and forget that the code even exists," he said. "I'm building a project or webapp, but it's not really coding--I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works." If this all sounds very different from poring over lines of code, that's because Karpathy was talking about a particular style of coding with AI assistance. His words struck a chord among software developers and enthusiastic amateurs alike. In the months since, his post has sparked think pieces and impassioned debates across the internet. But what exactly is vibe coding?

Getting an AI to write software for you? Want to write software, but haven't got the first clue where to start? Enter "vibe coding", a term that has swept the internet to describe the use of AI tools, including large language models (LLMs) like ChatGPT, to generate computer code even if you can't program. "Vibe coding basically refers to using generative AI not just to assist with coding, but to generate the entire code for an app," says Noah Giansiracusa at Bentley University in Waltham, Massachusetts. Users ask, or prompt, LLM-based models such as ChatGPT, Claude or Copilot to produce the code for an app or service, and the AI system does all the work.

Way back in 2023, Andrej Karpathy, an eminent AI guru, made waves with a striking claim that "the hottest new programming language is English". This was because the advent of large language models (LLMs) meant that from now on humans would not have to learn arcane programming languages in order to tell computers what to do. Henceforth, they could speak to machines like the Duke of Devonshire spoke to his gardener, and the machines would do their bidding. Ever since LLMs emerged, programmers have been early adopters, using them as unpaid assistants (or "co-pilots") and finding them useful up to a point – but always with the proviso that, like interns, they make mistakes, and you need to have real programming expertise to spot those. Recently, though, Karpathy stirred the pot by doubling down on his original vision.

The tool generates a podcast called Deep Dive, which features a male and a female voice discussing whatever you uploaded. The voices are breathtakingly realistic--the episodes are laced with little human-sounding phrases like "Man" and "Wow" and "Oh right" and "Hold on, let me get this right." The "hosts" even interrupt each other. To test it out, I copied every story from MIT Technology Review's 125th-anniversary issue into NotebookLM and made the system generate a 10-minute podcast with the results. The system picked a couple of stories to focus on, and the AI hosts did a great job at conveying the general, high-level gist of what the issue was about.

We present a speech database and a phoneme-level language model of Polish. The database and model are designed for the analysis of prosodic and discourse factors and their impact on acoustic parameters in interaction with predictability effects. The database is also the first large, publicly available Polish speech corpus of excellent acoustic quality that can be used for phonetic analysis and training of multi-speaker speech technology systems. The speech in the database is processed in a pipeline that achieves a 90% degree of automation. It incorporates state-of-the-art, freely available tools enabling database expansion or adaptation to additional languages.

In a rather unsurprising turn of events, former director of AI at Tesla, Andrej Karpathy, has rejoined OpenAI. In his tweet announcing the transition, he said that the developments in AI are inspiring and having benefitted from them, he finds it exciting to "jump back and build". Having been one of the founding members of OpenAI, Andrej left the company in 2017 to join Tesla and support Elon Musk in his endeavours. Musk was also one of the co-founders of OpenAI initially but had later left the Board member position in 2018 "to avoid future conflicts of interests due to Tesla developing AI", OpenAI said. At Tesla, Karpathy undertook multiple AI endeavours and, perhaps most importantly, was his work with Elon Musk on creating "Optimus", the humanoid robot whose prototype was unveiled on AI Day, 30 October, 2022.

There is a lot of excitement around AI. Recently there has been an incredible amount of buzz around the demos of models like ChatGPT and Dall-E-2. As impressive as these systems are, I think it becomes increasingly important to keep a level head, and not get carried away in a sea of excitement. The following videos/lectures are more focused on how to think about data science projects, and how to attack a problem. I've found these lectures to be highly impactful in my career and enabled me to build effective and practical solutions that fit the exact needs of the companies I've worked for.

The Bavarian State Ministry for Education and Cultural Affairs is launching the "AI@school" pilot project. Over the next five years, 15 schools are to experiment specifically with artificial intelligence in education. Andrei Karpathy, AI expert and longtime AI chief at Tesla, refers to artificial intelligence as "Software 2.0." A new generation of computer technology massively expands the capabilities of computers and thus the technological possibilities of humans. "Software (1.0) is eating the world, and now AI (Software 2.0) is eating software," Karpathy wrote in 2017.

When we think about artificial intelligence (AI), humans are rarely what springs to mind. And understandably so, as AI is all about machine intelligence and automation. AI has become an essential business tool, so we often commend the pioneering work of AI companies to support businesses as they digitally evolve. To shed a light on the importance of people in the creation of intelligent machines, we take a look at the best-in-class executives in the AI field who continue to push the technology – and its boundaries – forward. With a passion for AI, Andrej Karpathy is interested in training deep neural nets on large datasets.

Andrej Karpathy, Director of AI at Tesla, has announced that he is departing the company. Karpathy has spent the past five years at Tesla. Prior to Tesla, he was a research scientist at OpenAI working on computer vision and generative modelling. Go back further still and you'll find he did his PhD at Stanford as part of leading AI expert Fei-Fei Li's research team. The departure of Karparthy will be a major loss for Tesla.