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AI Is Here. Get Ready For A Spike In Your Electric Bill

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Over the last two decades, more efficient energy output has offset slight increases in America’s energy demand. But the days of constant electricity use have passed.

McKinsey, Boston Consulting Group, and S&P Global predict that US power demand will increase between 13% and 15% per year for the rest of the decade. Compared to former decades, this level of growth is meteoric, greatly exceeding the capacity of US electrical generators.

One of the primary drivers of this skyrocketing demand for power? Artificial Intelligence.

Aside from the power required to charge your laptop, most do not consider computers very energy-intensive. However, when you enter a prompt into ChatGPT (or any large language model), your request is processed in a faraway data center, and generating that response requires power.

Training each model also requires a lot of energy: These AI models receive large amounts of data scraped from websites, Wikipedia, Reddit, and transcribed YouTube videos. To process this data, hundreds of graphics processing units—electronic circuits capable of conducting rapid mathematical calculations—run continuously for thousands of hours each. And all of this necessitates electricity — gigawatts upon gigawatts of electricity, on a scale that makes prior data center usage seem archaic.

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AI Is Here. Get Ready For A Spike In Your Electric Bill

This is exacerbated by a national decarbonization program aimed at moving numerous energy-consuming sources—automobiles, heating, and manufacturing (bolstered by the CHIPS and Science Act and the Inflation Reduction Act)—to an electric grid powered by clean energy sources.

So, as AI’s demand on the grid grows and automobiles and industry transition to the grid, a major number of generators in the US grid remain “on” around the clock, causing costs to rise.

Because energy demand varies throughout the day and year, the grid must provide a flexible supply, ramping up when everyone is home in the evening and when temperatures rise and air-conditioning usage increases. Most of the energy we use daily is inexpensive, costing roughly $30 per megawatt.

When demand exceeds the electricity supply from these base power plants, utilities turn on peaker facilities, designed to ramp up quickly but generate very expensive power at $1,000 per megawatt. As rising electricity consumption — driven by AI models, electric vehicles, and expanding manufacturing footprints — keeps these high-cost plants “on” more of the time, expenses for everyone — families, schools, and hospitals — will rise dramatically.

As a result, energy costs with existing generation are non-linear. A 15% increase in power demand does not result in a 15% price increase, as utilities increasingly rely on expensive peaker facilities to meet demand. Because of exponential cost increases, household energy bills may double. Beyond cost, if the system is operating at maximum capacity to keep up, we cannot justify shutting down dirtier types of electricity generation, so we are postponing progress toward climate targets.

Within a decade, we’ll have a grid infrastructure that can’t keep up with fast-expanding demand, even if all sources are operational 24 hours a day. This propels us toward an inconceivable prospect for most Americans: an unreliable electrical grid characterized by blackouts and rolling brownouts. Consider the blackouts in Texas in the winter of 2021 and the 2003 East Coast blackout, which affected 50 million people. But this time, it won’t be a stroke of bad luck caused by extreme weather or a safety issue. Electricity rationing will become a common feature of American life as the system expands.

The Biden White House recently launched the Federal-State Modern Grid Deployment Initiative, a commendable effort to draw attention to the country’s rising vulnerability and insufficiency in our national grid. The problem diagnosis is true, but the initiative’s near-exclusive focus on complementing current infrastructure with grid-enhancing technology and the lack of major plans to expedite and fund new energy infrastructure falls short of the enormity of the challenge.

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AI Is Here. Get Ready For A Spike In Your Electric Bill

Furthermore, the wait time for approvals for additional power generation to be connected to transmission networks has lately reached five years, partly due to insufficient transmission capacity on the current grid. Currently, the states that pass a power transmission line must authorize it. This process frequently involves communication with nearby property owners and considers economic, environmental, safety, historic preservation, and engineering concerns, making it time-consuming.

A fully national grid requires a single central supervisory authority. The Streamlining Interstate Transmission of Electricity (SITE) Act proposes consolidating authority. This, combined with a nationwide push to create and fund new electrical generation and transmission on the scale of New Deal-era projects, is required to meet the energy demand of an AI-powered, green economy.

America’s capacity to meet its goals in AI leadership, decarbonization, chip manufacturing, and electric vehicles is dependent on ample electricity. Yet even an AI chatbot cannot provide a workaround for tedious bureaucratic processes that jeopardize grid upgrades. To do this, we need policies that encourage the construction and operation of new power plants as soon as possible.

SOURCE – CNN

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Over The Planned “Link Tax” Bill, Google Threatens to Remove NZ News Links.

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(VOR News) – Google has sent a strong message to the New Zealand government, threatening to stop boosting local news content should the Fair Digital News Bargaining Bill become law.

The law, put up by the Labour government and backed by the coalition in power at the moment, mandates that digital companies such as Google pay back news organizations for links to their material.

News publishers, on the other hand, charge the tech giant with “corporate bullying.”

Google says this measure may have unanticipated effects.

Google New Zealand’s country director, Caroline Rainsford, voiced her worries that the law, which is being referred to as a “link tax,” is not doing enough to support the media industry in New Zealand right now.

She underlined that Google would have to make major adjustments if the previously mentioned law were to pass, including cutting off links to news articles from its Search, News, and Discover platforms and cutting off financial ties with regional publications.

According to Rainsford, similar legislation has been proposed and approved in other nations including Australia and Canada, but it has not been proven to be effective there and breaches the principles of the open web.

She drew attention to the fact that smaller media outlets will be most negatively impacted, which will limit their capacity to reach prospective audiences.

Google says its alternative options will protect smaller, local media from negative effects.

Conversely, it conveys apprehension regarding the possible fiscal obligations and vagueness of the legislation, which it feels generates an intolerable level of ambiguity for enterprises functioning within New Zealand.

The New Zealand News Publishers Association (NPA) has reacted to Google’s warnings by alleging that the internet behemoth is using coercive tactics.

They specifically contend that the need for regulation stems from the market distortion that Google and other tech giants have created, which has fueled their expansion into some of the most significant corporations in global history.

The legislation aims to create a more equal framework that media businesses can use to negotiate commercial relationships with technological platforms that profit from their content.

New Zealand Media Editors CEO Michael Boggs stated that he was in favor of the bill, citing the fact that Google now makes a substantial profit from material created by regional publications.

He also emphasized that the use of artificial intelligence by Google—which frequently makes references to news articles without giving credit to the original sources—highlights the significance of enacting legislation.

Paul Goldsmith, the Minister of Media and Communications, has stated that the government is now evaluating various viewpoints and is still in the consultation phase.

He stated that the government and Google have been having continuous talks and will keep up these ongoing discussions.

However, not all political parties accept the validity of the Act.

The ACT Party’s leader, David Seymour, has voiced his displeasure of the proposal, saying that Google is a game the government is “playing chicken” with. He threatened the smaller media companies, saying that they would suffer from worse search engine rankings if the internet giant followed through on its promises.

Seymour contended that it is not the government’s responsibility to shield companies from shifts in the market brought about by consumer preferences.

The things that have happened in other nations are similar to what has happened in New Zealand.

Google has agreements with a number of Australian media firms that are in compliance with its News Media Bargaining Code. These agreements contain provisions that permit an annual cancellation of these agreements.

Due to the government’s decision to exempt Google from the Online News Act, the company has committed to supporting news dissemination by contributing annually to the Canadian journalistic community.

The New Zealand measure is consistent with global approaches aimed at regulating the relationships that exist between technology corporations and media organizations.

It’s hard to say what will happen with the Fair Digital News Bargaining Bill as the discussion goes on. Google and the New Zealand media landscape are preparing for what might be a protracted legal battle.

SOURCE: TET

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Accenture and NVIDIA Collaborate to Enhance AI Implementation.

 

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Accenture and NVIDIA Collaborate to Enhance AI Implementation.

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(VOR News) – Accenture and NVIDIA are working together more closely in order to fulfill their shared goal of hastening the global adoption of generative artificial intelligence (AI) solutions by enterprises.

This is what’s being done to make this happen. Accenture and NVIDIA have signed a contract for Accenture to teach 30,000 workers of the latter company.

This aligns with our objectives. Customers’ acceptance of the new artificial intelligence technologies and their scalability will be made easier with the help of these reps.

Accenture’s AI Refinery will be available to organizations starting yesterday.

Which utilizes NVIDIA’s entire AI stack, to help them get started on their “custom” agentic AI journey. The statement made mention of this. Businesses will receive assistance so they may get started on their trip.

Businesses can now choose to create unique models that can be updated to match the particular needs of their operations and trained using data from their own companies.

This constitutes a noteworthy progression in the domain of artificial intelligence. Businesses were given access to the refinery in July, and it gives them the chance to build these models.

The term “traditional” artificial intelligence has been expanded to encompass more sophisticated agentic artificial intelligence.

They may build workflows based on a user’s objective, and they can modify their actions based on the environment they are operating in. This allows them to accomplish their objectives.

Julie Sweet, executive vice president and chief executive officer of Accenture, stated, “Accenture AI Refinery will create opportunities for companies to reimagine their processes and operations, discover new ways of working, and scale AI solutions across the enterprise.”

“These opportunities will allow companies to scale AI solutions across the enterprise.” “These opportunities will help drive continuous change and create value for the organization.”

During fiscal year 2024, the multinational professional services company successfully secured new bookings for generative artificial intelligence, totaling three billion dollars. Around the same time, more businesses began implementing artificial intelligence-related technologies, which led to NVIDIA’s revenue hitting an all-time high.

In August, Jensen Huang, the founder and CEO of NVIDIA, made the following declaration: “A new computing era has begun.” Globally, companies are beginning to place more emphasis on fast computing and generative artificial intelligence than on general-purpose computers.

The Accenture rate at which this transition is happening is rising.

Using technology that combines artificial intelligence-infused software and automated procedures

Additionally, Accenture declared that a brand-new Nvidia NIM Agent Blueprint would soon be available for purchase. Manufacturing companies will be able to create robot-run buildings and factories with the aid of this blueprint. It is possible to model factory production processes with this blueprint.

The business states that it would adopt the blueprint at its own automation company, Eclipse Automation, in order to accomplish its ambition of developing designs at a rate up to fifty percent quicker than those currently being developed. This would allow the business to achieve its goal.

Furthermore, Accenture is planning to open new offices in Singapore, London, Tokyo, Malaga, and Tokyo to support the growth of its network of engineering hubs for the Artificial Intelligence Refinery.

This will be carried out to facilitate network expansion. These recently built hubs will be put to use in the process of building foundation models that can learn to become more precise and scalable.

Accenture has opened a new lab in Dublin dedicated to the advancement of generative artificial intelligence. In February of this year, the laboratory was established.

One of the components of the consulting firm’s three billion dollar artificial intelligence investment the previous year was the studio. The prior year’s investment was made.

SOURCE: SP

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Meta has started the Facebook Content Monetization Program.

Google Provides a Free Gemini Live AI Assistant for All App Users.

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Meta has started the Facebook Content Monetization Program.

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(VOR News) – With the launch of its new monetization approach, Meta hopes to streamline existing revenue streams for content creators on its platform while simultaneously increasing new ones.

On October 2, 2024, the Facebook Content Monetization pilot experiment was revealed. This experimental project unifies three distinct monetization projects that are now underway into a single, more straightforward structure.

Facebook’s parent company, Meta, announced that the new model will combine performance bonuses, in-stream advertisements, and ads on reels into a unified income structure. With this unification, authors will find it simpler to monetize a wide range of content types, including written articles, lengthy videos, reels, and images, among others.

Facebook has been working to support platform content creators, and this announcement is part of that work. According to Meta, over four million content producers have been able to make money on Facebook since the platform’s launch of Facebook-funded monetization in 2017.

Notable Increase in the Amount Paid to Authors

According to the website Meta, Facebook paid content providers more than two billion dollars for the uploading of text, images, and videos during the course of the previous year.

Over this era, there has been a significant increase in rewards for reels and short films—a boost of more than 80 percent.

Simplifying the Techniques Applied in the Monetization Process

One of the biggest problems facing content providers is intended to be addressed by the recently launched Facebook Content Monetization initiative. Prior to this, there were differences in the enrollment processes, eligibility requirements, and availability of various monetization programs.

Because of the complexities of the scenario, some creators were not able to take advantage of opportunities or were not eligible to receive compensation in all formats.

Based on Meta’s data, only approximately one-third of Facebook producers who make money do so through many Facebook-financed initiatives. The recently combined program aims to expand earning opportunities and streamline processes in order to accomplish this goal.

The New Meta Program’s Operation of

Content creators will just need to register for one program in the Facebook Content Monetization beta phase in order to monetize various kinds of content. Performance monitoring across a variety of content categories will be possible with the program’s help thanks to its uniform collection of insights.

It has been brought to Meta’s notice that the new program’s compensation structure is the same as the current performance-based approaches used for Performance Bonus, In-Stream Ads, and Reels Ads. Still, the extent to which well-performing content qualifies will influence revenues.

Procedures for Launch and Qualification

Only individuals who have been invited may participate in the beta program’s initial stages. One million creators who have already made money on Facebook are being invited by Meta. Facebook provides revenue for these producers. In addition, the business intends to keep extending invitations for the upcoming months.

Although the program won’t be accessible to the general public until 2025, Meta is giving developers the chance to indicate that they would like to be invited to the program’s beta version ahead of time. Creators who would like to participate can express their interest and get more details by visiting the Facebook for Creators website.

Consequences for Current Programs

Meta claims that the Facebook Content Monetization scheme will soon take the place of the current Ads on Reels, In-Stream Ads, and Performance Bonus programs.

The forecasts state that this change is anticipated to occur in 2025. Creators who have been asked to join the new initiative have the option to withdraw from it during its beta period.

Acceptability of the information.

Profits could be made from any public words, images, reels, and videos that comply with the new system’s regulations. Creators and the content they generate must abide by Meta’s rules in order to be eligible for monetization; these rules include following Facebook’s Partner Monetization guidelines and the Monetization Policies.

For artists, the opportunities are great.

One important step Meta has done to support content creators on its network is the launch of Facebook Content Monetization. Facebook hopes to draw and keep a diverse range of content creators by streamlining the monetization process and boosting revenue opportunities across various content formats.

SOURCE: ARY

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Toyota Boosts Its Investment In Air Taxi Company Joby Aviation By Another $500 Million

Google Provides a Free Gemini Live AI Assistant for All App Users.

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