SAN FRANCISCO, Sept 25 ― Hostile and hateful remarks are thick on the ground on social networks in spite of persistent efforts by Facebook, Twitter, Reddit and YouTube to tone them down. Now researchers at the OpenWeb platform have turned to artificial intelligence to moderate internet users' comments before they are even posted. The method appears to be effective because one third of users modified the text of their comments when they received a nudge from the new system, which warned that what they had written might be perceived as offensive. The study conducted by OpenWeb and Perspective API analyzed 400,000 comments that some 50,000 users were preparing to post on sites like AOL, Salon, Newsweek, RT and Sky Sports. Some of these users received a feedback message or nudge from a machine learning algorithm to the effect that the text they were preparing to post might be insulting, or against the rules for the forum they were using.
Microsoft's ongoing partnership with San Francisco-based artificial intelligence research company OpenAI now includes a new exclusive license on the AI firm's groundbreaking GPT-3 language model, an auto-generating text program that's emerged as the most sophisticated of its kind in the industry. The two companies have been entwined for years through OpenAI's use of the Azure cloud computing platform, with Azure being how OpenAI accesses the vast computing resources it needs to train many of its models. Last year, Microsoft made a major $1 billion investment to become OpenAI's exclusive cloud provider, a deal that now involves being the exclusive licensee for GPT-3. OpenAI released GPT-3, the third iteration of its ever-growing language model, in July, and the program and its prior iterations have helped create some of the most fascinating AI language experiments to date. It's also inspired vigorous debate around the ethics of powerful AI programs that may be used for more nefarious purposes, with OpenAI initially refusing to publish research about the model for fear it would be misused.
Microsoft announced that it has "exclusively licensed" OpenAI's sophisticated GPT-3 language model that can generate disturbingly human-like text in applications ranging from commercial bots to creative writing. After investing $1 billion in the San Francisco startup last year to become OpenAI's exclusive cloud partner, Microsoft will get access to the language tech for itself and its Azure cloud customers. OpenAI released GPT-3 just a couple of months ago to a limited group of developers, but its capabilities have already generated massive amounts of buzz. It's the largest language model ever trained, and is capable of not just mundane tasks like auto-generating business correspondence, but also creative or technical chores like poetry, memes and computer code. In fact, the code is so powerful that OpenAI initially refused to publish research on the earlier GPT-2 model for fear it could be abused to write fake news.
The news: On September 22, Microsoft announced that it would begin exclusively licensing GPT-3, the world's largest language model, built by San Francisco–based OpenAI. The model acts like a powerful autocomplete: it can generate essays given the starting sentence, songs given a musical intro, or even web page layouts given a few lines of HTML code. Microsoft says it will begin making use of these capabilities in its products and services, though it didn't specify details. The companies say OpenAI will continue to offer its public-facing API, which allows chosen users to send text to GPT-3 or OpenAI's other models and receive its output. Only Microsoft, however, will have access to GPT-3's underlying code, allowing it to embed, repurpose, and modify the model as it pleases.
The iTunes big data engineering team is looking for talented server-side engineers to build and enhance social features such as those underpinning Apple Music. This is your opportunity to contribute to key Apple services built using massively scaled systems, on a team located in San Francisco and working closely with Cupertino and London. Key Qualifications Minimum of 5 years professional software engineering experience. Proficiency in building Node.js applications. Experience with building RESTful APIs. Experience with a NoSQL solution, document store, or key-value store (e.g. Cassandra, Redis, MongoDB, Couchbase). Comfortable with Linux command line tools and basic shell scripting. Description Our team is responsible for architecting and delivering services such as those central to Apple Music Connect that allow users and artists to interact with each other. To build these features, we create server-side applications that employ a combination of microservices, message-passing, caching layers, and distributed databases. We serve our data over cleanly designed RESTful HTTP endpoints used by multiple client platforms making a massive number of requests per second at millisecond response times. This is a great opportunity to join a small but growing team of motivated engineers, with wide responsibility and high-profile feature ownership. Whether you’re interested in architecture, data modeling, plumbing data pipelines, or designing endpoints, there are numerous possibilities for building new features from scratch and enhancing the existing infrastructure. Education Education: BS or MS in Computer Science, or equivalent experience Additional Requirements Experience with building highly scalable services using a microservices architecture. Experience with message-based architectures using Kafka or other another message broker. Experience with Agile software development methodologies including Scrum and TDD (test-driven development). Ability to collaborate with cross-functional teams. Familiarity or experience with Java or another object-oriented programming language. Experience with Git.
Generative Pre-Training popularly called GPT. A powerful language model ever designed by the openai, an artificial intelligence lab in San Francisco of Elon Musk, started by the year 2015. It can generate its own pattern which is even beyond human imagination, write parodies, songs, poems, essays. It has been provided to some of the prerequisites only, they say chatting with it feels very similar to chatting with a human. It not only translates to other languages but also has perfection with translation. It stands over the models like BERT, GPT2, roBERTa, T5, and various other variants.
New York – Social media giant Twitter said Monday it would investigate its image-cropping function after users complained it favored white faces over Black ones. The image preview feature of Twitter's mobile app automatically crops pictures that are too big to fit on the screen, selecting which parts of the image to display and which to conceal. Prompted by a graduate student who found an image he was posting cropped out the face of a Black colleague, a San Francisco-based programmer found Twitter's system would crop out images of President Barack Obama when posted together with images of Republican Senate Leader Mitch McConnell. "Twitter is just one example of racism manifesting in machine learning algorithms," the programmer, Tony Arcieri, wrote on Twitter. Twitter is one of the world's most popular social networks, with nearly 200 million daily users.
Recently, the Guardian, one of the UK's most popular outlets, released an op ed with a provocative title: "A robot wrote this entire article. Are you scared yet, human?". Overall, the essay held together unexpectedly well, despite some simple language and repetition, giving it an eerie self referential quality– an AI telling us why we shouldn't be afraid of AI. The essay wasn't created by a robot per se, but by a new piece of software called GPT-3, a text generation AI engine created by San Francisco based Open AI. Not only has the new release raised eyebrows (MIT's Technology Review called it "shockingly good") but it has re-surfaced a question that has been explored in popular fiction starting with Mary Shelley's Frankenstein in the nineteenth century all the way up to modern sci fi classics like Blade Runner and more recently, HBO's Westworld, where robots that are indistinguishable from humans escape from their sheltered theme park world that they were created for, causing havoc.
Cash App is the fastest growing financial brand in the world. Built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic money app with over 30 million active monthly users. Loved by customers and by pop culture, we've held the #1 spot in finance on the App Store for almost two years, and our social media posts see more engagement in a day than most financial brands see in a year. With major offices in San Francisco, New York, St. Louis, Portland, Kitchener-Waterloo, Toronto and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today's banking system.
San Francisco-based web experimentation company Optimizely is releasing a new version of its flagship platform that includes a new user interface, new data and analytics offerings, and integrations with AWS and Salesforce. Optimizely's core product is Web Experimentation, which enables non-technical staff to conduct A/B testing on the company's website using Optimizely's visual editor. Meantime, Optimizely's Full Stack product enables developers to experiment deeper into the tech stack to test things like search ranking algorithms or mobile app functionality. A/B testing has been a notable space of the software market as customers look to develop digital channels and improve experiences. Optimizely allows for quick A/B testing that can speed up software and code delivery.