Our mission to make business better is fueled by readers like you. To enjoy unlimited access to our journalism, subscribe today. Facebook has created an artificial intelligence system that may make it much more efficient for companies to train such software for a range of computer vision tasks, from facial recognition to functions needed for self-driving cars. The company unveiled the new system in a series of blog posts Thursday. Today, training machine-learning systems for such tasks often requires hundreds of thousands or even millions of labeled data sets.

Artificial intelligence (AI) has made enormous progress over the past decade. But we've never seen AI researchers as giddy with excitement as they are now. A new system named GPT-3 is blowing minds, left, right and centre. So what is GPT-3 and what does it do? The GPT stands for "generative pre-training" and it's a language model, which means that it processes text.

Did you know AI can now produce poetry and write fiction? That is not all it can also generate CODE ! Isn’t that amazing ! OpenAI’s newest AI language model – GPT-3, is trending all over the internet! Source: Unite.AI Background Elon Musk and Sam Altman started OpenAI in 2015 to advance the state of the art of AI and to ensure AI was used for the human good. OpenAI recently released the third version Generative Pre-training Transformer (GPT) – GPT-3. They first described GPT-3 through a research paper published in May but last week rolled out a beta version access to a select set of people and its capabilities are mind blowing! What is GPT-3 and why is everyone talking about it? Here are some quick pointers to help you understand what GPT-3 is, and why it is a step towards an AI revolution. Third version Generative Pre-training Transformer (GPT) A natural language generator (NLG) capable of producing human-like text on demand State-of-the-art language model made up of 175 billion parameters ~10X larger than Microsoft’s Turing NLG that has 17 billion parameters >100X larger than its own predecessor GPT-2 (released last year) trained on 1.5 billion parameters Does not require large custom, task specific datasets (which are usually difficult to get) Does not even require task specific model architectures What all can GPT-3 do for you? Here are a few things that GPT-3 can do for you and as more developers and experts experiment with it, more use cases will surface in the times to come. Answer questions with common sense (that doesn’t seem very difficult?) Write creative fiction – poetry, essays, stories Write news (Could that be a problem?) Solve arithmetic problems Generate Functioning Code (GPT-3 can CODE!) Design – developers demonstrated it with a Figma plugin (That’s truly creative!) This is just an illustrative list of what all GPT-3 can do! As more and more developers/experts experiment with the beta access, more innovations are bound to surface. Possible flaws and concerns pertaining to GPT-3? Although GPT-3 has proven brilliance in many ways in its current state but it also has certain flaws and concerns that it raises: Lacks an overarching, long-term sense of meaning and purpose As it generates its output word-by-word, based on the immediately surrounding text. It can struggle to maintain a coherent narrative or deliver a meaningful message over more than a few paragraphs is what experts say after initial experimentation. Possibility of being prone to certain biases Developers noticed that GPT-3 is prone to shoot out racist and sexist language, even when the prompt is something harmless. As GPT-3 is trained on internet scale data, these biases arise from biases in that training data reflecting possible societal views and opinions. Chances of misuse once released publicly Authors acknowledge that people can misuse it in several ways because of its ability to create text that is indistinguishable from that of written by humans. It can lead to creation of including generating misinformation and spam, phishing, and even fake academic essays. Possible impact on jobs As GPT-3 can perform human-like tasks across multiple domains, it could possibly have an impact on jobs that it can do like writers, coders, journalists, etc. These are just possible concerns and basis point 1 highlighted above many believe that instead of replacing humans, GPT-3 could become the perfect assistant for humans in these professions. Conclusion and what lies ahead? GPT-3 can execute plethora of NLP- based tasks, without fine-tuning for a specific task. Experts are even saying that this could be a step towards Artificial General Intelligence (AGI) – Read my article on Demystifying AI to know more! It is capable of performing machine translation, answering to questions, scripting poems and stories, elementary mathematics and can even generate code. OpenAI wants developers to help it explore what GPT-3 can do and with the beta release of its API has attracted plethora of experts and developers to experiment with the capabilities of GPT-3. It is only a matter of time before more exciting innovations surface in the developers’ community! Watch out for more interesting articles on AI! Feel free to share your thoughts. References [1] https://www.forbes.com/sites/robtoews/2020/07/19/gpt-3-is-amazingand-overhyped/#7c6166501b1c [2] https://analyticsindiamag.com/open-ai-gpt-3-code-generator-app-building/ [3] https://singularityhub.com/2020/06/18/openais-new-text-generator-writes-even-more-like-a-human/ [4] https://towardsdatascience.com/gpt-3-for-the-people-2cdd003d9a89 [5] https://www.technologyreview.com/2020/07/20/1005454/openai-machine-learning-language-generator-gpt-3-nlp/ [6] https://www.analyticssteps.com/blogs/what-openai-gpt-3 [7] https://www.cnbc.com/2020/07/23/openai-gpt3-explainer.html [8] https://analyticsindiamag.com/how-openais-gpt-3-can-be-alarming-for-the-society/ [9] https://www.forbes.com/sites/robtoews/2020/07/19/gpt-3-is-amazingand-overhyped/#7c6166501b1c [10] https://www.independent.co.uk/life-style/gadgets-and-tech/news/gpt3-ai-tool-designs-websites-medicine-a9627966.html [11] https://medium.com/fair-bytes/how-biased-is-gpt-3-5b2b91f1177 [12] https://towardsdatascience.com/gpt-3-demos-use-cases-implications-77f86e540dc1

One night in 2014, Ian Goodfellow went drinking to celebrate with a fellow doctoral student who had just graduated. At Les 3 Brasseurs (The Three Brewers), a favorite Montreal watering hole, some friends asked for his help with a thorny project they were working on: a computer that could create photos by itself. Researchers were already using neural networks, algorithms loosely modeled on the web of neurons in the human brain, as "generative" models to create plausible new data of their own. But the results were often not very good: images of a computer-generated face tended to be blurry or have errors like missing ears. The plan Goodfellow's friends were proposing was to use a complex statistical analysis of the elements that make up a photograph to help machines come up with images by themselves.

From TechCrunch: "NEW YORK, NY - MAY 09: CEO and co-founder of Viv Dag Kittlaus speaks onstage during TechCrunch Disrupt NY 2016 at Brooklyn Cruise Terminal on May 9, 2016 in New York City." Dag Kittlaus co-created Apple's Siri, and now he's looking to disrupt the personal assistant market again--this time with Viv. While Siri may only respond to certain commands and doesn't remember the last thing you ask, you can make extremely specific requests of Viv, like "Will it be hotter than 70 degrees after 5PM tomorrow in San Francisco" or "pay David 20 dollars," and Viv can answer follow up questions. We caught up with Kittlaus to ask a few questions about how he's disrupting the virtual personal assistant market. Popular Science: You helped start Siri and you've got a deep understanding of how most assistants work.

"You have to begin to lose your memory, if only bits and pieces, to realize that memory is what makes our lives. Life without memory is no life at all." -- Luis Buñuel Portolés, Filmmaker Every year, hundreds of millions of people experience the pain of a failing memory. The reasons are many: traumatic brain injury, which haunts a disturbingly high number of veterans and football players; stroke or Alzheimer's disease, which often plagues the elderly; or even normal brain aging, which inevitably touches us all. Memory loss seems to be inescapable. But one maverick neuroscientist is working hard on an electronic cure.