Generative AI
Analysis: From Meta to Microsoft, AI's big moment is here
Feb 3 (Reuters) - Big Tech companies have a new obsession: artificial intelligence. This week, chief executives across the sector packed earnings calls with mentions of the heavily hyped technology, which until recently existed more in the background than as a solid contributor to the bottom line. In conference calls after financial results, tech execs uttered the phrases "AI," "generative AI," or "machine learning" from two to six times as often as they did in the previous quarter, according to a review of conference transcripts by Reuters. Executives from Microsoft Corp (MSFT.O) and Alphabet Inc (GOOGL.O), behind the latest big rivalry in tech, took their battle to the conference-call front lines. On Thursday, Alphabet appeared to edge out the competition.
Ditch These 7 Habits to Become a More Productive Data Scientist
When it comes to planning a wedding, there are so many details that need to be taken care of. From picking the perfect dress to finding the right venue, there is a lot to consider. When it comes to choosing the right flowers, there are a few key tips to keep in mind. The first thing to consider is the season. Different flowers are in season during different times of the year, so it is important to keep this in mind when making your selection.
Genius or Subpar AI Mathematician? New Study Questions ChatGPT's Mathematical Capabilities
The November release of ChatGPT garnered unprecedented public and media attention. OpenAI's conversational large language model (LLM) was widely applauded for its ability to answer complex queries, generate correct computer code and coherent long-form essays, and even solve math problems. But might that last claim have been premature?
Top AI startup news of the week: Anthropic hits the Google jackpot
Check out all the on-demand sessions from the Intelligent Security Summit here. All other AI startup news got blown out of the water this morning, when word got out that Google will invest over $300 million into AI lab Anthropic, one of the buzziest AI startups in recent memory (partly thanks to its massive early investment by Sam Bankman-Fried and FTX) and one of OpenAI's biggest rivals for the LLM space. But, there were a few other startups that made news as well -- from those in autonomous driving to retail self-checkout. According to new reporting from the Financial Times, Google has invested $300 million in one of the most buzzy OpenAI rivals, AI lab startup Anthropic, whose recently-debuted generative AI model Claude is considered competitive with ChatGPT. According to the reporting, Google will take a stake of around 10% and Anthropic will be required to use the money to buy computing resources from Google Cloud.
Is Google Displacing Musicians With Its New Generative AI System: Music LM? (Part 1 Of A 2 Part Series)
What is the impact of taking all the musical know-how and ingesting into an AI brain with only asking questions expressing your musical tastes? Who needs to be a musician to entertain when we will soon be able to create our own music even more easily and tap into the human genius of every muscian that has a recording? Google researchers say MusicLM is based on a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". You can find the details on GitHub. MusicLM is built on a neural network, and trained on a large music data set of over280,000 hours of music, enabling it to automatically produce innovative music tracks of diverse instruments, genres, and concepts based on text descriptions.
261: Impact of ChatGPT & Generative Artificial Intelligence - Invest Like a Boss
ChatGPT has taken over the conversations of the internet and (literally) writing millions of new conversations utilizing generative AI technology. We bring back guest Tom Taulli (last on ILAB 163) to break down the basics of ChatGPT technology, the company that created it and how we may be able to invest int he future of Artificial Intelligence. Sam and Derek then go through their experiments with using ChatGPT and its potential world changing impact on technology as we know it. Tom Taulli is an advisor/board member to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction and The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. He also writes for various publications like Forbes.com,
ChatGPT is suddenly everywhere. Are we ready?
For a product that its own creators, in a marketing pique, once declared "too dangerous" to release to the general public, OpenAI's ChatGPT is seemingly everywhere these days. The versatile automated text generation (ATG) system, which is capable of outputting copy that is nearly indistinguishable from a human writer's work, is officially still in beta but has already been utilized in dozens of novel applications, some of which extend far beyond the roles ChatGPT was originally intended for -- like that time it simulated an operational Linux shell or that other time when it passed the entrance exam to Wharton Business School. The hype around ChatGPT is understandably high, with myriad startups looking to license the technology for everything from conversing with historical figures to talking to historical literature, from learning other languages to generating exercise routines and restaurant reviews. But with these technical advancements come with a slew of opportunities for misuse and outright harm. And if our previous hamfisted attempts at handling the spread of deepfake video and audio technologies were any indication, we're dangerously underprepared for the havoc that at-scale, automated disinformation production will wreak upon our society.
AI models spit out photos of real people and copyrighted images
These image-generating AI models are trained on vast data sets consisting of images with text descriptions that have been scraped from the internet. The latest generation of the technology works by taking images in the data set and changing one pixel at a time until the original image is nothing but a collection of random pixels. The AI model then reverses the process to make the pixelated mess into a new image. The paper is the first time researchers have managed to prove that these AI models memorize images in their training sets, says Ryan Webster, a PhD student at the University of Caen Normandy in France, who has studied privacy in other image generation models but was not involved in the research. This could have implications for startups wanting to use generative AI models in health care, because it shows that these systems risk leaking sensitive private information.
Gooly, AI for Kids
Hi, my name's Daniel and I want to introduce you to Gooly a chatbot with which you can interact with OpenAI's GPT3 artificial intelligence engine, both by typing on the keyboard and by conversing with your voice. Now Gooly is destined to answer questions for the little ones!! Developed with by Daniel Atik danielatik.com
Sam Altman's big problem? ChatGPT needs to get 'woke' if he wants cash from corporate America
OpenAI is ready to start capitalizing on ChatGPT's buzz. On Wednesday, the firm announced it will offer a pilot $20-a-month subscription version of the chatbot called ChatGPT Plus, which gives priority access to users during peak time and faster responses. The free version remains available but is so popular that it is often at capacity or slow to give responses. In a clear push for commercialization, OpenAI also said it will roll out an API waitlist, different paid tiers, and business plans. OpenAI, it seems, believes enterprises will be willing to pay for its chatbot's capabilities.