AI’s power hunger threatens climate goals
Artificial intelligence’s thirst for electricity is conspiring with other factors to trigger a sharp spike in electricity demand that the U.S. is only beginning to address.
Artificial intelligence’s thirst for electricity is conspiring with other factors to trigger a sharp spike in electricity demand that the U.S. is only beginning to address.
. “Candidly, a lot of people inside law firms just don’t think about the deployment of tech in the delivery of legal services,” he said. “If you want to see a doctor today, it’s all through a website, but if you want a lawyer, you’ve got to pick up the phone.”
A fake photo—or memory-based reconstruction, as the Barcelona-based design studio Domestic Data Streamers puts it—of the scene that a real photo might have captured. The fake snapshots are blurred and distorted, but they can still rewind a lifetime in an instant.
“Maybe when a retailer has a powerful generative AI engine on their platform, customers don’t feel the need to go on Google at all. Maybe they’re able to get to learn about what they need directly on the retailer’s platform.”
Tuesday, Google confirmed to Reuters that those restrictions have kicked in. Election queries now tend to come back with the refusal: “I’m still learning how to answer this question. In the meantime, try Google Search.”
“As the dialogue unfolded, a central theme emerged concerning how higher education institutions can adapt to the rapid pace of technological change, emphasizing the need for responsibility to guide the conversation around AI.”
Generative AI is continuing to improve — so publishers, grant-funding agencies and scientists must consider what constitutes ethical use of LLMs, and what over-reliance on these tools says about a research landscape that encourages hyper-productivity.
Cryptocurrency? That’s _so_ 2022. Owners of fleets of GPUs, they’re now pivoting to AI, according to The Guardian…
“The figures were notably larger for image-generation models, which used on average 2.9 kWh per 1,000 inferences. The average smartphone uses 0.012 kWh to charge, so generating one image using AI can use almost as much energy as charging your smartphone.”
The disparity between leaders’ attitudes to AI and that of their employees is a difficult gap to close; the aspects of AI that form the business case for its implementation are often the same aspects that drive concerns from employees about job security.
There is one very clear parallel between the digital spreadsheet and generative AI: both are computer apps that collapse time. A task that might have taken hours or days can suddenly be completed in seconds.
“As consumers increasingly use generative AI (GenAI) in their personal and professional lives, they are optimistic about its potential positive impact on society and believe that the benefits of the technology outweigh the risks they see…”
Deloitte: “The arrival of generative AI heralds disruption and opportunity across industries. Organizations are exploring how generative AI can be used to unlock and open the door to entirely new products, services and business models…”
Starting today, when you point your camera (or upload a photo or screenshot) and ask a question using the Google app, the new multisearch experience will show results with AI-powered insights that go beyond just visual matches.
In this evolving landscape, advanced economies and more developed emerging markets need to focus on upgrading regulatory frameworks and supporting labor reallocation, while safeguarding those adversely affected…
Industries led by media and entertainment, banking, insurance, and logistics were most likely to predict job losses because of cutting-edge AI tools, according to the poll of top directors conducted by PwC ahead of this week’s World Economic Forum.
“With the infrastructure in place—the base generative models from OpenAI, Google, Meta, and a handful of others—people other than the ones who built it will start using and misusing it in ways its makers never dreamed of.”
“What use cases are appropriate, and what aren’t? The ability to distinguish between the two is important, and it’s an issue for both companies that use AI and companies that don’t.”
“It’s no accident that these corporate AIs have a human-like interface. There’s nothing inevitable about that. It’s a design choice…The companies behind those AIs want you to make the friend/service category error.”
In the rush to deploy off-the-shelf proprietary LLMs, health-care institutions and other organizations risk ceding the control of medicine to opaque corporate interests.
“Drew Ortiz doesn’t seem to exist. He has no social media presence and no publishing history. And even more strangely, his profile photo on Sports Illustrated is for sale on a website that sells AI-generated headshots…”
It’s getting terrifically hard to remember a world before ChatGPT and other AI chatbots – which tells us just how monumental a shift we’ve lived through.
“It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires or to generate a large data set on animal experiments.”
The authors describe the results as a “seemingly authentic database”.
This month marks a year since OpenAI released ChatGPT into the market, and several large banks are charging ahead to take primacy in harnessing the burgeoning technology.
By analyzing a search query, it extracts the most pertinent insights from web pages, and skillfully transforms them into highly relevant and easily digestible snippets.
Why does this matter? First, different conversation types serve distinct information needs and demand varied UI designs. Second, there is no one optimal conversation length — both short and long conversations can be helpful, as they might support different user goals.
Three-quarters of the business uses of generative ai will fall into four areas: customer operations, marketing and sales, software engineering, and research and development. Navigating a complex tax code or summarising a legal document could become a breeze.
As an example, using a single publicly available large-language model, within 65 minutes, 102 distinct blog articles were generated that contained more than 17 000 words of disinformation related to vaccines and vaping.
In the memo, representatives from IAC and Dotdash lay out a doomsday vision of what the web would become if copyright law doesn’t evolve to force generative AI companies to pay for access to quality content.
The age of generative AI threatens to sprinkle epistemological sand into the gears of web search by fooling algorithms designed for a time when the web was mostly written by humans.
All it takes are a few simple steps to get a customized, data-driven chart just by speaking in natural language with ChatGPT.
Businesses at the enterprise level are also looking for ways AI can leverage the massive amounts of data generated daily by their organizations in increasingly productive ways.
Walmart said its new “My Assistant” feature can help with a range of tasks, from summarizing long documents to assisting in the creation of new content.