Tag: AI

DALL·E / Dall-E is a model based on GPT-3 but for generating images. In the realm of Machine Learning or AI, this has to one of the most impressive models ever released. OpenAI again pushes the boundaries of what’s possible.

Creating a basic AI sequence to create dad jokes from an existing list of 60 jokes.

A video covering how gpt-3 works, its limitations, and how to get access.

There’s been a great deal of hype and excitement in the artificial intelligence (AI) world around a newly developed technology known as GPT-3. Put simply; it’s an AI that is better at creating content that has a language structure – human or machine language – than anything that has come before it. GPT-3 has been created by OpenAI, a research business co-founded by Elon Musk and has been described as the most important and useful advance in AI for years.

But there’s some confusion over exactly what it does (and indeed doesn’t do), so here I will try and break it down into simple terms for any non-techy readers interested in understanding the fundamental principles behind it.

I’ll also cover some of the problems it raises, as well as why some people think its significance has been overinflated somewhat by hype.

Starting with the very basics, GPT-3 stands for Generative Pre-trained Transformer 3 – it’s the third version of the tool to be released. In short, this means that it generates text using algorithms that are pre-trained – they’ve already been fed all of the data they need to carry out their task. Specifically, they’ve been fed around 570gb of text information gathered by crawling the internet (a publicly available dataset known as CommonCrawl) along with other texts selected by OpenAI, including the text of Wikipedia.

If you ask it a question, you would expect the most useful response would be an answer. If you ask it to carry out a task such as creating a summary or writing a poem, you will get a summary or a poem. More technically, it has also been described as the largest artificial neural network every created – I will cover that further down.

GPT-3 can create anything that has a language structure – which means it can answer questions, write essays, summarize long texts, translate languages, take memos, and even create computer code. In fact, in one demo available online, it is shown creating an app that looks and functions similarly to the Instagram application, using a plugin for the software tool Figma, which is widely used for app design.

This is, of course, pretty revolutionary, and if it proves to be usable and useful in the long-term, it could have huge implications for the way software and apps are developed in the future.

As the code itself isn’t available to the public yet (more on that later), access is only available to selected developers through an API maintained by OpenAI. Since the API was made available in June this year, examples have emerged of poetry, prose, news reports, and creative fiction.

This article is particularly interesting – where you can see GPT-3 making a – quite persuasive – attempt at convincing us humans that it doesn’t mean any harm

Yahoo Finance’s Adam Shapiro spoke with IBM Cloud and Data Senior Vice President Rob Thomas about the future of artificial intelligence in business.

Artificial Intelligence is touching almost every aspect of our lives. It’s reasonable to expect AI influence will only increase in the future. One of many fields heavily influenced by AI is the military. Particularly in the development of Supersoldiers. The notion of super-soldiers enhanced with biotechnology and cybernetics was once only possible in the realm of science fiction. But it may not be too long before these concepts become a reality.

A new worldwide arms race is pitting countries against each other to be the first to successfully create real genetically modified super soldiers by using tools such as CRISPR. Understandably many of these human enhancement technologies raise health and safety questions and it is more likely these enhancements will first gain traction in countries that do not place as much weight on ethical concerns.

According to US Intelligence, China has conducted “human testing” on members of the People’s Liberation Army in hope of developing soldiers with “biologically enhanced capabilities.

This has made the U.S. military’s top intelligence agencies increasingly worried but the Pentagon has significantly invested in its own research in AI and in the extension of the human senses beyond their current physical limitations, to provide soldiers with superhuman abilities.

The basics of brain-machine interfaces with AI are being developed for the military, and if the results are as successful as scientists hope they will be, soldiers could one day be enhanced with cybernetics, effectively becoming trans-human soldiers.

The US Military is also examining newly scientific tools, like genetic engineering, brain chemistry, and shrinking robotics, for even more dramatic enhancements. But most of this advanced technology remains classified.

We’re still a long way from the kind of capabilities required for doomsday scenarios like super-soldiers or genetically-targeted biological weapons, but recent developments suggest there’s real danger of a new genetic arms race in the making.

This video hypothesizes that the Architect and Oracle characters of The Matrix are adversarial AI systems working together to improve the Matrix itself.

GPT-3 is a large natural language machine-learning model.

GPT3 is a largest neural network every created by humanity (as of Dec 2020 atleast). It has 175 billion parameters, 4.6 million $ were spent in training it. It is a specific type of neural network called language model which can do different creative natural language processing tasks such as,

1) Write poems and essays, write news article
2) Convert english statement to an SQL query
3) Languge translation
4) Write code. (This sounds scary right?)