OpenAI Just Released an Even Scarier Fake News-Writing Algorithm

OpenAI, the AI company that Elon Musk founded and then quit has just released a more powerful version of its AI text-writing software. The company …

OpenAI, the AI company that Elon Musk founded and then quit has just released a more powerful version of its AI text-writing software.

The company still won’t release their full software – that can be used to write fake news and messages en masse – due to fears it might be misused.

RELATED: MICROSOFT TO INVEST A WHOPPING $1 BILLION IN OPENAI PARTNERSHIP

What does OpenAI do?

OpenAI says its text-writing system is so advanced it can write news stories and even fiction that passes as human.

A user can feed the system text – anything from a few sentences to pages of itand the system will then continue that same text in an uncannily well-written, contextually relevant, human style.

However, after releasing its original system, GPT-2, in February, the company said the full software was too dangerous to release to the public – a weaker version was made available.

Now, the company has announced it has released a version of GPT-2 that is six times more powerful.

You can actually try the latest public OpenAI system at TalkToTransformer.com. The results can be eerily realistic – though there are obvious flaws in the writing.

OpenAI is still being careful

According to OpenAI’s statement, there’s still an even more powerful version of GPT-2 that the company hasn’t yet revealed.

The company says that it plans to release the more powerful model within a few months, but that it may not if it determines that people are using the new, stronger GPT-2 maliciously.

At the time of the original announcement of GPT-2’s release in February, Jack Clarke, OpenAI’s head of policy, told The Guardian there are “many people who are better than us at thinking what [the AI] can do maliciously.”

It could be used, for example, to generate infinite fake positive, or negative, reviews – as if written by a real person.

A cure for fake news?

While OpenAI brings us closer to AI world domination, a group of Harvard and MIT researchers has been developing a method to use AI to fight AI.

The researchers developed a system, dubbed GLTR, that uses an algorithm to track the likelihood that a passageway was written by AI or not.

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It will be interesting to see if GLTR ever comes up against GPT-2’s strongest version – if it’s ever released to the public, that is. The AI wars may be upon us.

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Google is using football to train its next wave of AI technology

AI has also been developed by DeepMind and OpenAI to play complex games such as Dota and Starcraft, real-time strategy games for multiple …

After vanquishing the best humanity has to offer in the ancient game of Go, also known as weiqi, Google is now looking to the massively popular game of football to train its next wave of artificial intelligence technology to ‘bend it like Beckham’.

The US internet giant published research in June revealing that its “Brain Team” is working on a game known as Google Research Football Environment to train smart agents that can interact with their environment to solve complex tasks, providing insights into real-world AI applications such as autonomous driving and robotics.

Google released a beta version of Football Environment as open-source code on Github earlier this year. The game was built using a publicly available title called Gameplay Football and uses advanced game simulation, including goals, fouls, corners, penalty kicks and offside plays, according to the announcement on Google’s AI blog.

The move comes as technology giants push the boundaries of artificial intelligence technology, a form of machine learning that has been dubbed the fourth industrial revolution, as it moves into more corners of everyday life from autonomous driving, smart city infrastructure and internet of things (IoT) applications to workplace automation.

Read also


World's No. 1 Go player loses to Google's AI programme

In 2017, Google outplayed the Middle Kingdom at literally its own game, when AlphaGo, a computer programme from Alphabet’s DeepMind Technologies, beat the world’s top Go player Ke Jie 3-0 in a Sputnik-like moment that spurred China into a concerted, state-directed effort to catch up in AI.

Ke ended up in tears, calling the AI programme developed by Google that beat him in three straight matches “perfect, flawless, without any emotions”.

Although the US is generally considered to have the lead in AI, the technology occupies a key role in Beijing’s “Made in China 2025” master plan.

According to a three-step road map, Beijing wants to keep pace with leading AI technologies and applications in general by 2020; achieve AI breakthroughs by 2025; finally to be the world leader in a domestic industry worth US$150 billion (S$208.3 billion) by 2030.

The Google AI football research effort is led by Karol Kurach, a machine learning researcher at the US company’s Brain Team in Zurich.

Football is considered particularly helpful in terms of AI reinforcement learning, as it requires a natural balance between short-term control and learned concepts, such as accurate passing and high-level strategy, according to Google’s AI blog post.

Google’s DeepMind unveiled AlphaGo Zero in 2017, a programme that doesn’t need the help of human experts to train itself. Zero is considered stronger than the version that beat Ke Jie because it plays against itself and learns from its own experience.

AI has also been developed by DeepMind and OpenAI to play complex games such as Dota and Starcraft, real-time strategy games for multiple players. OpenAI, an AI research organisation based in San Francisco, California, defeated OG, a world-class e-sports team on Dota 2 using its computer programme OpenAI Five, in 2018.

The article was first published in South China Morning Post.

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OpenAI Working With Microsoft To Build AI That Will Change The World

“We’re working together with Microsoft to build next-generation supercomputers,” says OpenAI co-founder Greg Brockman. “The real goal of OpenAI …

“We’re working together with Microsoft to build next-generation supercomputers,” says OpenAI co-founder Greg Brockman. “The real goal of OpenAI and what we’re trying to accomplish is to build what we call artificial general intelligence. They’re trying to build a computer system that is as capable as a human at being able to master a domain of study and being able to master more fields of study than any one human can. We think whoever builds artificial general intelligence will be the number one most valuable company in the world by a huge margin.”

Greg Brockman, OpenAI co-founder and chairman, discusses Microsoft’s $1 billion investment in OpenAI and how whoever invents artificial general intelligence first will become the most valuable company in the world. Brockman was interviewed by Bloomberg Technology:

OpenAI Working With Microsoft To Build AI That Will Change The World

We’re working together with Microsoft to build next-generation supercomputers. The real goal of OpenAI and what we’re trying to accomplish is to build what we call artificial general intelligence. They’re trying to build a computer system that is as capable as a human at being able to master a domain of study and being able to master more fields of study than any one human can. If we succeed the kind of thing that we want to be able to do is, for example, build a computer system that can solve medicine better than humans can. If you think about how humans solve medicine today we do it by increased specialization.

I have a friend who’s going through medical procedures right now where he talks to a first doctor who does an ultrasound but can’t read it so he has to go to a different doctor who doesn’t really have context as to what’s going on. This is not a problem that we can solve by increasing the amount of knowledge that humans have to learn. There’s only so much we can fit in our minds. What we really need are tools that are capable of helping us solve these problems. That’s the kind of thing that we want to apply general intelligence to.

Our goal is to distribute the economic benefits of artificial general intelligence. You can imagine a general intelligence system that can generate huge amounts of value. If you look at the top ten most valuable companies in the world, seven of them are technology companies. We think whoever builds artificial general intelligence will be the number one by a huge margin. It’s really important that those benefits go to everyone rather than being locked up in one place.

Building Powerful Safe and Secure AI Technology

There’s a second part which is it’s really important that you keep these systems safe and secure and that you build them with ethics in the forefront. That’s something that both we and Microsoft are very aligned on doing from the beginning. What it really boils down to is that AI technology is becoming very powerful. That means that there’s both these amazing benefits and these amazing applications. Imagine a personalized tutor that can really understand you that is available for free to every person on the planet. That’s the kind of thing we should be able to build with the kind of systems that we want to create.

You also have to ask the questions of what are the risks. How can they be misused? Today, we already see AI technology, for example, deepfakes, that already has bad implications in the world. How do we maximize those benefits and mitigate the downsides? That’s our goal. Our goal is to push the technology forward and make sure that we’re capturing those benefits while making sure everyone benefits from them. But we also want to make sure that we keep it safe and secure to mitigate the downsides.

AI Computational Power Growing 5 Times Faster Than Moore’s Law

The timelines (of where AI will take us) are always really hard to predict. One story I really like thinking about is just looking, for example, at previous technological innovations. In 1878, Thomas Edison announced that he was going to create the incandescent lamp and gas securities in England fell. So British Parliament put together a commission of distinguished experts who came out to Menlo Park. They checked everything out. They said this isn’t going to work and one year later he shipped. I think that we’re in a similar sort of place here where it’s hard to predict what the future will be like.

We’re in this exponential right now where the computational power that we’re using is growing five times faster than Moore’s Law. What we do know is every year we’re going to have unprecedented AI technologies. We’ve been doing that for seven years and OpenAI has been doing it for three. This year we have systems that can understand and generate text. I think five years from now we should expect that we will have systems that you can really have meaningful conversations with. I think that we should see within a bunch of different domains, a lot of systems that can work with humans to augment what they can do much further than anything we can imagine today.

OpenAI Working With Microsoft To Build AI That Will Change The World – OpenAI co-founder Greg Brockman

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Microsoft and OpenAI in billion dollar partnership to develop AGI

Artificial Intelligence is where all the money goes these days. Founded at the end of 2015, OpenAI is committed to advancing “digital intelligence in the …
Artificial Intelligence is where all the money goes these days. Founded at the end of 2015, OpenAI is committed to advancing “digital intelligence in the way that is most likely to benefit humanity as a whole”. The company started out with a capital of $1 billion, brought together by investors as Amazon, Elon Musk and his (pay) pal Peter Thiel. This month, Microsoft decided to add yet another cool billion to the capital.

The Redmond giant has teamed up with OpenAI to further extend Microsoft’s cloud computing services Azure to large-scale AI systems. According to the press releaseThe companies will focus on building a computational platform in Azure of unprecedented scale, which will train and run increasingly advanced AI models, include hardware technologies that build on Microsoft’s supercomputing technology, and adhere to the two companies’ shared principles on ethics and trust.

On the road to AGI

Today AI systems require training for handling specific problems only. However, using artificial intelligence for solving difficult real-world problems requires generalization and combining multiple technologies. What we need is Artificial General Intelligence, or AGI, colaborating “with people to help solve currently intractable multidisciplinary problems, including global challenges such as climate change, more personalized healthcare and education”.

OpenAI & Azure: switch me off
OpenAI and Microsoft team up to extend Azure cloud computing services to large-scale A(G)I systems.

The CEO of OpenAI, Sam Altman said, in all modesty: “The creation of AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity”.

Do we really want such an important thing to be in the hands of the people who gave us Windows and its never-ending updates that stop people from doing what they should be doing?

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9 Companies Doing Exceptional Work In AGI, Just Like OpenAI

Microsoft investing in OpenAI has come as big news in the artificial general intelligence (AGI) space. OpenAI had announced the end of its non-profit …

9 Companies Doing Exceptional Work In AGI, Just Like OpenAI

Microsoft investing in OpenAI has come as big news in the artificial general intelligence (AGI) space. OpenAI had announced the end of its non-profit operations a few months ago, which got a confirmation following Microsoft’s investment. Since its inception, OpenAI has been working towards the development and promotion of AI which is beneficial to humanity. While it has not achieved a fully efficient AGI system yet, it will now work alongside Microsoft to achieve it.

With OpenAI becoming a for-profit company, it faces competition from many companies across the globe that are working on AGI. In this article, we list nine such companies that work on similar intentions as Open AI.


9 Companies Doing Exceptional Work In AGI, Just Like OpenAI


The list is in alphabetical order.

1| AGI Innovations

Founded in August 2013 AGI Innovations Inc (AGi3) works on long term goal of developing and commercialising the next generation of intelligence engines based on AGI theory. It is working on developing a next-gen AGI engine that can power a wide variety of intelligent applications, while strongly focusing on natural language understanding and learning. As their website notes, they are also implementing spatial/temporal sense and actuator mechanisms that will allow their intelligence engines not only to be utilised in various personal assistant applications but, potentially, also in robotics.


W3Schools


2| Apprente

Apprente focuses on developing AGI-based neuromimetic techniques. With a diverse team of leading architects, developers and researchers with skills ranging from machine learning and neuroscience to computational linguistics, they are strongly focused on enhancing their research in AGI. The team has extensive experience in building state-of-the-art artificial intelligence solutions, and are currently leveraging AI to deliver enterprise solutions for a broad range of customer service applications.

3| DeepMind AI:

It is one of the world leaders in AI research and they are on a scientific mission to push boundaries of AI to a whole new level. Founded in 2010, DeepMind was acquired by Google in 2014 and are now a part of the Alphabet group. They are trying to work up AGI to solve larger problems that humankind is facing. With an end goal of achieving AGI, they are one of the world leaders in the space and have come with up breakthroughs such as AlphaGo and AlphaStar.


W3Schools


4| Kimera Systems

They are one of the early creators of the world’s first functional artificial general intelligence. The company started off by trying to optimise neuroscience-based approaches to make AI mimic the human brain but then worked backwards from a new definition of intelligence that they determined from quantum mechanics theory. This helped them create an AI that was incredibly versatile. They created the first functional consumer-facing AGI program, Nigel AGI that could come up with its own hypothesis, conclusions, understanding new ideas and concepts on its own.

5| Microsoft Research Lab

Prior to investing in OpenAI, Microsoft Research has been working actively in the field of AGI. It had earlier acquired Maluuba, a Montreal-based company to boost its work on AGI. It has been working on the state-of-the-art research that aims to teach machines to read, think and communicate like humans and its investment on OpenAI further boosts it. AI researchers here are harnessing the explosion of data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines.

6| New Sapience

New Sapience works on developing Modeled Intelligence (MI) and AGI products and applications to be used by businesses and consumers. They strongly believe that their AGI technology is highly differentiated from the current generation of statistical natural language processing systems as well as the classical AI rule-based systems. They believe that it is complementary and synergistic to the narrow AI systems being developed utilising neural networks and Deep Learning and other “Cognitive Computing” constructs.

7| NNAISENSE

This AGI and deep learning startup aim at building large scale neural network solutions or superhuman perception and intelligent automation. Founded in 2014 by Bas Steunebrink, Faustino Gomez, Jan Koutnik, Jonathan Masci, Jürgen Schmidhuber, the NNAISENSE team has more than 25 years of experience in leveraging AI to build large scale neural network solutions for achieving AGI. They boast of an ultimate goal of marketing general-purpose AI.

8| Numenta

This startup is tacking some of the most important scientific challenges of all time which is reverse-engineering the neocortex. The team believes that thoroughly studying how brain works will help them understand the principles of intelligence and build machines that work on the same principles. Hence creating an AGI mich more efficient than others. Understanding that way neocortex works will lead to a more efficient and faster way of creating intelligent machines for the benefit of mankind.

9| Vicarious

This 2010 founded startup was first introduced to the world when they announced that their technology had solved text-based CAPTCHAs which were designed to distinguish humans from bots. They have now extended their working in developing artificial general intelligence for robots. They combine insights from generative probabilistic models and systems neuroscience which allows to train their model faster and adapts readily.


9 Companies Doing Exceptional Work In AGI, Just Like OpenAI

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