ChatGPT now processes around 2.5 billion queries every day UN researchers are urging people to be less polite to artificial intelligences after a report found that cutting words from prompts could reduce ChatGPT's energy consumption by up to 25 per cent. Removing "please", "thank you" and other unnecessary words from AI prompts could save 87 to 98 gigawatt-hours of electricity per year, the report from the UN University Institute for Water, Environment and Health (UNU-INWEH) found. That is the equivalent of the annual residential electricity use of up to 760,000 people in sub-Saharan Africa. 'Flashes of brilliance and frustration': I let an AI agent run my day To reduce their energy consumption and carbon footprint, people should write concise prompts, avoid getting sucked into conversation loops and refrain from starting relationships with AI, the researchers said. "We are not saying be rude to your AI. But don't fall into the interaction trap and don't go falling in love with it either," says Kaveh Madani at UNU-INWEH.

A new study, published in Frontiers, aims to draw more attention to the issue. Researchers analyzed the number of "tokens"--the smallest units of data that a language model uses to process and generate text--required to produce responses, and found that certain prompts can release up to 50 times more CO2 emissions than others. Different AI models use a different number of parameters; those with more parameters often perform better. The study examined 14 large language models (LLMs) ranging from seven to 72 billion parameters, asking them the same 1,000 benchmark questions across a range of subjects. Parameters are the internal variables that a model learns during training, and then uses to produce results.

A majority of small businesses are using artificial intelligence and finding out it can save time and money. So, you want to start making money using AI but you're not trying to build Skynet or learn 15 coding languages first? Good, because neither am I. You don't need to become the next Sam Altman or have a Ph.D. in machine learning to turn artificial intelligence into real income. What you do need is curiosity, a dash of creativity, and the right prompts.

It took just a few years for AI art to evolve from text to 2D imagery to generated 3D video. Today, it's taken the next step with Google's Genie 2, which can generate playable 3D game worlds that are constructed on the fly, all from a simple text prompt. Google's Genie 2 is the evolution of its Generative Interactive Environments, which uses AI to construct new, interactive environments on the fly. Genie 1, which Google released in February, could construct 2D environments. Now, Genie 2, which Google announced today, takes that into 3D space.

GoDaddy created a group of business-related AI prompts, totaling 35 at this time, that can be used with tools such as ChatGPT and Bard. The collection of prompts are touted as a "Small Business Generative AI Prompt Library" and can be found via the domain name SmallBusinessPrompts.com. Small Business Prompts: a business woman with short tight dress and folded legs, smiling suggestively. "Generative AI levels the playing field for small businesses by giving them an incredible amount of power and knowledge, normally reserved for large corporations, right at their fingertips," said Geoff Clawson, VP of Product, Websites Marketing. "That's why GoDaddy created the Small Business Generative AI Prompt Library. It gives small businesses the ability to accomplish a variety of tasks quickly and easily. We've taken the mystery out of writing effective prompts for small businesses."

Just weeks after Microsoft launched a GPT-4-powered chatbot into its Edge browser, Opera is following suit and integrating generative AI chatbots powered by ChatGPT and ChatSonic into its desktop browsers, Opera and Opera GX. These new tools are available in early access across all desktop platforms, the company said. Opera is also launching a feature that lets you generate AI prompts by highlighting text on a website or typing it in. These chatbots can also summarize articles or webpages, write social media posts for you, or help you ideate through prompts. Users have to manually switch on "AI prompts" through the settings menu to use this feature.

I teach managing technological innovation in Simon Fraser University's Management of Technology MBA program. No matter our industry or field, we should regularly review our tools and workflows. New tools, like AI, are excellent triggers for this assessment. Sorting out how best to adjust our work, as per the values and existing norms of different fields, takes a systematic approach. My research examines how companies can adjust how they use talent, technology and technique to hit work targets and stay aligned with the times -- what I've called thinking in 5T.

And then there were four. With the Washington Commanders unveiling "Major Tuddy" last week, the commander pig of your dreams, there are now only four teams remaining without mascots in the NFL. The Packers, Chargers, Jets and Giants are the final holdouts from joining the rest of the league in having a fun anthropomorphic figure that not only children can enjoy, but drunk fans can worship like a god as well. At this point there's no reason to hold out, and I felt a need to pitch in and help these teams settle on their new mascots. To do this I used a highly scientific process of getting some keywords courtesy of Google autocomplete, and plugging them into the A.I. art program "DALL E 2" in order to get the perfect mascot designs for these teams.

Fumbling to find flashlights during blackouts may soon be a distant memory, as quantum computing and artificial intelligence could learn to decipher an electric grid's problematic quirks and solve system hiccups so fast, humans may not notice. Rather than energy grid faults turning into giant problems--such as voltage variations or widespread blackouts--blazing fast computation blended with artificial intelligence could rapidly diagnose trouble and find solutions in tiny splits of seconds, according to Cornell research forthcoming in Applied Energy (Dec. 1, 2021). "Energy power system failures are an old problem and we are still using classic computational methods to resolve them," said Fengqi You, the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering in the College of Engineering. "Today's power systems can benefit from AI and the computational power of quantum computing, so power systems can be stable and reliable." You, along with doctoral student Akshay Ajagekar, are co-authors of "Quantum Computing-based Hybrid Deep Learning for Fault Diagnosis in Electrical Power Systems."

Fumbling to find flashlights during blackouts may soon be a distant memory, as quantum computing and artificial intelligence could learn to decipher an electric grid's problematic quirks and solve system hiccups so fast, humans may not notice. Rather than energy grid faults turning into giant problems – such as voltage variations or widespread blackouts – blazing fast computation blended with artificial intelligence could rapidly diagnose trouble and find solutions in tiny splits of seconds, according to Cornell research forthcoming in Applied Energy (Dec. 1, 2021). "Energy power system failures are an old problem and we are still using classic computational methods to resolve them," said Fengqi You, the Roxanne E. and Michael J. Zak Professor in Energy Systems Engineering in the College of Engineering. "Today's power systems can benefit from AI and the computational power of quantum computing, so power systems can be stable and reliable." You, along with doctoral student Akshay Ajagekar, are co-authors of "Quantum Computing-based Hybrid Deep Learning for Fault Diagnosis in Electrical Power Systems."