Is the party over for everyday users of ChatGPT?
Tech pub The Information reports that the maker of ChatGPT — OpenAI — is mulling plans to jack-up the price of future versions of the wonder-bot to as much as $2,000/month.
Currently, a basic subscription to ChatGPT costs $20/month.
Observes a story by Thomson Reuters: “The reported pricing discussions come after media reports said Apple and chip giant Nvidia were in talks to invest in OpenAI as part of a new fundraising round that could value the ChatGPT maker above $100 billion.”
In other news and analysis on AI writing:
*In-Depth Guide: New Video-to-Blog-Post AI Released: Bloggers looking to easily transform videos from YouTube, Instagram and similar into text blog posts may want to take a gander at ArticleX.
Designed to connect easily to video accounts, the new tool can quickly analyze a selected video, capture key info and then automatically generate a blog post.
That post comes complete with a featured image and an embed of the original video.
Plus, all the text is rendered in a customized brand voice.
For those who want a more automated experience, ArticleX can also detect new video content on the Web and then repurpose that content as a blog post directly on a Web site.
One hopes that in the midst of their transformation options, users always remember to credit the original source video.
*Pocket Change: New AI Chatbot Challenges ChatGPT at $10/Month: Ninja SuperGPT AI Assistant — a direct competitor to ChatGPT — now has a million users, according to Babak Pahlavan, CEO, NinjaTechAI.
Offering unlimited image generation, the AI is designed to work with more than 20 of the world’s most popular AI engines.
One of those AI engines — also known as Large Language Models — is its own Ninja-LLM 3.0, which is built on AI developed by Facebook parent Meta.
*Let the Existential Crisis Begin!: AI Okay for Novel Writing Contest: Looks like mere flesh-bags are going to be competing with the most advanced AI chatbots on the planet in this year’s National Novel Writing Month competition.
Organizers have green-lit use of the tech in the competition, which challenges writers to crank-out a 50,000-word novel in 30 days.
The blowback: Four members of the organization sponsoring the competition have resigned from their roles — as has at least one sponsor, according to writer Peter Biles.
*Highbrow Literature Meets AI: Because Even Fancy Words Need Automation: Writers unconvinced that today’s AI can produce highbrow literature are in for a rude awakening, according to writer Tim Brinkoff.
Adds writer Sean Michaels: “I think there is a misconception that Large Language Models like ChatGPT are not very good at writing in a lyrical, literary prose style.
“In fact, they can do it easily and quite well — just like all the image-generating software can do things like making photos in the styles of Wes Anderson or David Lynch.”
*Can’t Finish That Novel? Let AI Pretend You Did!: Writer Amanda Caswell says she was able to use Sudowrite — a popular AI tool used by fiction writers — to help get over writer’s block and finally finish her novel.
Observes Caswell: “Sudowrite has genuinely transformed my approach to writing. Six months ago, if you had told me I’d complete not one, but two YA science fiction novels, I would have laughed.
“If you’d told me one of those novels would hit #1 on Amazon for a week, I’d have begged for the secret.
“Sudowrite isn’t just a tool: It’s a creative companion that can help unlock your writing potential. Give it a try and you might just find yourself finally writing that novel.”
*Pixel Showdown: Rock-Em-Sock-Em Robots Compete for Best in AI Imaging: Writers looking for arresting supporting images to complement their text may want to check-out writer Ryan Morrison’s ranking of seven top AI imagers.
The result: Image judging turns-out to be so subjective, you’ll probably want to take a look at each of the seven images Morrison generated and make your own assessment.
Fortunately, Morrison includes all seven images in his article — which are just a click away.
*Challenger Elbows-In on ChatGPT’s Business Customers: ChatGPT competitor Claude is attempting to take a bite out of the market leader’s business by offering an Enterprise edition of its own.
Like ChatGPT Enterprise, the Claude alternative offers greater privacy protection for businesses.
Also included is the ability to work with dozens of 100-page documents simultaneously — or a two-hour audio transcript.
*Apparently, There is Such a Thing As a Free Lunch: No-Charge AI Engine Nears 350 Million Downloads: Fans of open-source AI — freely released to the world to help stimulate the development of AI apps across the globe — learned that Facebook parent Meta has become a mighty player in that effort.
New data released by Meta reveals that the company’s free, open-source AI engine — dubbed Llama — has been downloaded nearly 350 million times.
Observes Jensen Huang, CEO, Nvidia: “Llama has profoundly impacted the advancement of state-of-the-art AI.
“The floodgates are now open for every enterprise and industry to build and deploy custom Llama supermodels.
“It’s incredible to witness the rapid pace of adoption in just the past month.”
*AI Big Picture: Time Magazine’s Tops-in-AI Rankings: When Changing the World Only Gets You Fourth Place: Time has released its list of the top 100 people in AI, which includes Sundar Pichai, Google’s CEO, Satya Nadella, CEO, Microsoft and Sasha Luccioni, AI & Climate Lead, Hugging Face — a promoter of open-source AI.
Curiously, Sam Altman, CEO, OpenAI — the maker of ChatGPT and the person who made both AI and ChatGPT household words the world over — is rated at number four.
Share a Link: Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.
–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.
The post Inflation Just Got Artificially Intelligent appeared first on Robot Writers AI.
Since June, Qualcomm has had a significant laptop advantage over the more traditional processor suppliers like AMD and Intel. That changed this week when Microsoft and AMD announced that laptops using the Ryzen AI 300 processors will also support CoPilot, […]
The post AMD Gets Microsoft’s Blessing for Copilot+ – Is the desktop and Gaming Console Next? appeared first on TechSpective.
In this post we will take a look at robot simulators and physics engines which should be discussed together.
Robot Simulator:
Basically a robot simulator is a computer program that facilitates building and testing of robots in a virtual environment.
Some key points:
Firstly, robot simulators help save great deal of time and money by elimination of physical prototypes and testing, at least during a major part of the design except the very last stages. Errors can be corrected, the simulations and tests can be reset, and any desired changes can be made far more easier than in real world for all aspects of the robot such as its sensors, actuators, kinematics, operating algorithms and control systems. Benefits are even further multiplied when building and testing multiple robot systems which may also be required to interact with each other and the system behavior must be coordinated.
It is important for a simulator to mimic real world as closely as possible, at least to a degree of simulating real life variables which will affect robots’ operation. This is done by a physics engine which is the core component of a robot simulator. It will be described in more detail below.
The robot simulator must integrate well with the actual operating system ( such as ROS etc…) that the robot will run on in the real world.
There are open source simulators. Using these have the advantages of not only cost but the possibility of being able to receiving inputs or at least discuss the process with far greater number of people.
One of the most beneficial aspects of using a robot simulator is to be able to train the AI far more easier than real world. Such training need a lot of trials and errors which can be performed much faster with a simulator.
Another advantage of using robot simulators is safety. Especially an incomplete robot’s operation may carry higher safety risks, even if all precautions are taken. Using a simulator eliminates such risks.
Real time ( or near real time) simulation and testing is also possible with simulators which means that the simulation runs at the same speed of the actual system.
Pysics Engine:
Simulators include a physics engine which is their key component. A physics engine tries to imitate real world by having virtual objects and environment interact within the boundaries of defined physical laws and constraints. Velocity, acceleration, position, mass of objects, collision detection and response, friction, rotations, kinetic and potential energy, their conversion into each other and conservation of energy concepts must all be represented within certain imposed constraints, with necessary mathematical functions, matrices, differential equations, numerical methods (methods which approximate solution to a complex system by enabling us to avoid very complex differential equations, by dividing the system into much smaller parts all of which can be solved easily and then their solutions are combined), within a coordinate system. As more advanced options, any soft bodies and their deformations, or even fluids may also need to be represented. So basically a physics engine is a mathematical model with variables representing a state of a system at a given instant. The simulation of the state of the system over time is of course ongoing which means all of these are continuously updated over time, which is done by numerical integration methods.
The author of this article, who is a civil engineer, can tell about a similarity here with structural analysis, which might reinforce understanding here. For example in structural analysis, when representing structural behavior under earthquake action over time, the state of the structure is also continuously updated by numerical integration methods, based on the forces on the structure and the structure’s stiffness at that instant (i.e. the equation [F]=[K][X] is continuously updated, where [F] is the global force matrix, [K] is the global stiffness matrix and [X] is the global displacement matrix of the structure. So this matrix is solved continuously within each small time increment ( i.e. 0.1 second). And the constraints as mentioned above in this case are the reaction forces provided by supports ( i.e. foundation) of the structure.
A. Tuter
It’s been less than two years since ChatGPT made Artificial Intelligence (AI) mainstream, dramatically surging the technology across industries, for enterprises and small businesses alike. The debate over whether this technology has done more harm or more good has shifted […]
The post The Pros and Concerns of AI for Small Business appeared first on TechSpective.
In a market dominated by tech giants like Samsung and Google, Honor is staking its claim with the release of the Magic V3, its most advanced foldable smartphone yet. Announced at IFA 2024, the Honor Magic V3 enters the foldable arena with one of the slimmest designs available, along with high-performance hardware, aiming to compete...
The post Honor Magic V3: A Bold Challenger in the Foldable Market appeared first on 1redDrop.