Tag: AI

Artificial superintelligence or a superintelligence in general is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.

According to the most popular version of the singularity hypothesis, called intelligence explosion, an upgradable intelligent agent will eventually enter a “runaway reaction” of self-improvement cycles, each new and more intelligent generation appearing more and more rapidly, causing an “explosion” in intelligence and resulting in a powerful superintelligence that qualitatively far surpasses all human intelligence.

I. J. Good’s “intelligence explosion” model predicts that a future superintelligence will trigger a singularity.

Four polls of AI researchers, conducted in 2012 and 2013 by Nick Bostrom and Vincent C. Müller, suggested a median probability estimate of 50% that artificial general intelligence or AGI would be developed by 2040 to 2050.

Public figures such as Stephen Hawking and Elon Musk have expressed concern that full artificial intelligence or strong AI could result in human extinction. But the consequences of the singularity and its potential benefit or harm to the human race have been intensely debated.

Philosopher Nick Bostrom defines an existential risk as one in which an extinction-level event is not only possible but likely. He argues that advanced artificial intelligence is “likely” to be an existential risk.

In addition, time frame is also a factor, as a superintelligence might decide to act quickly before humans would have a chance to react with any countervailing action. A superintelligence might decide to preemptively eliminate all of humanity for reasons that may be incomprehensible to us.

There is also a possibility where a superintelligence might seek to colonize the universe. A superintelligence might do this in order to maximize the amount of computation it could do or to obtain raw materials for manufacturing new supercomputers.

While it may seem alarmist to worry about these scenarios in a current world where only narrow AI exists, we do not know how long it takes or if it’s even possible to develop safe artificial super-intelligence that shares our goals. Thus, we better start planning today about the advent of ASI… While we still can!

Can a device replace the need to learn a new language? WSJ asked Alex Rawlings, author of “How To Speak Any Language Fluently,” and an expert in over 15 languages, to test out the new Pocketalk S Voice Translator on the streets of Barcelona.

14 cool apps/use cases for GPT-3. Part 4.

Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.

Spam Bots are becoming an increasing issue for a lot of business models and websites. Ranging from Fake Reviews, to Comments and likes Bots can deceive users and customers. Bots using GPT 3 and other Machine Learning Algorithms can seriously impact the entire internet. In this video I wanted to discuss this topic a little bit and speak about possible solutions or changes that could come in the future.

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