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google, openai and meta Updates

AI's growing presence is impacting various sectors, from energy consumption to job roles and even historical understanding. Google is actively measuring and reducing the energy footprint of its Gemini AI, reporting that a single text prompt uses about the same energy as watching TV for nine seconds. They've also achieved significant reductions in energy use (33x) and carbon footprint (44x) in the past year. Concerns remain about AI's overall energy demands, with experts suggesting ways to limit use and improve efficiency. Meanwhile, OpenAI is exploring offering AI infrastructure services, potentially challenging major players in a market estimated to be worth $50 billion for telcos and Europe. In the workplace, AI is shifting job roles, prompting companies to invest in AI training for employees. Coinbase is even requiring engineers to use AI coding tools like GitHub Copilot. Meta, after a hiring surge, is pausing AI hiring to reorganize its teams. AI is also influencing the travel industry, with projections of a $16 trillion market by 2034, driven in part by AI-powered trip planning. Finally, AI is being used in innovative ways, such as Arrive AI's use of sensors to improve package delivery and an AI model trained on 1800s texts that referenced real historical events.

Key Takeaways

Google reports a single Gemini AI text prompt uses the energy equivalent of watching TV for nine seconds.
Google has reduced Gemini's energy use by 33x and carbon footprint by 44x in the last year.
Experts recommend limiting AI use and improving efficiency to reduce its environmental impact.
OpenAI is considering offering AI infrastructure services, targeting a $50 billion market.
Companies are increasingly investing in AI training for employees to adapt to changing job roles.
Coinbase requires engineers to use AI coding tools like GitHub Copilot.
Meta is pausing AI hiring to reorganize teams after a period of rapid expansion.
AI is projected to contribute to the global travel industry reaching $16 trillion by 2034.
Arrive AI uses sensors and AI to improve package delivery efficiency.
An AI model trained on 1800s texts accurately referenced real historical protests.

AI's hidden cost using more energy and hurting the climate

AI is becoming more common, but it uses a lot of energy, which can harm the environment. Data centers that power AI need lots of electricity and water, often from fossil fuels. This releases greenhouse gases and contributes to climate change. A simple AI prompt uses more energy than a regular search. Experts suggest limiting AI use and finding ways to make it more efficient, like using Ecosia or turning off AI features when not needed.

Google measures energy use of Gemini AI text prompts

Google calculated how much energy its Gemini AI service uses. A single text prompt uses about the same energy as watching TV for nine seconds. Google is trying to find ways to measure AI's environmental impact, including energy, water, and carbon emissions. They found that a typical Gemini text query uses 0.24 watt-hours of energy. Google says they have reduced the energy used by Gemini text prompts by a lot in the last year.

Google reveals energy use for Gemini AI text questions

Google shared how much energy, water, and emissions are used when people ask questions using its Gemini Apps AI. They want the AI industry to measure these things in a consistent way. Google says its findings are lower than many expected. A single text prompt on Gemini uses about the same energy as watching TV for less than nine seconds. Google has made Gemini more efficient, lowering its energy use and carbon emissions.

Google shares Gemini AI energy use numbers

Google shared how much energy, emissions, and water its Gemini AI uses for text prompts. A single prompt uses about the same energy as watching TV for less than 9 seconds. Google's method includes factors like data center energy and water use. The company has made the technology more efficient, reducing energy use by 33x and carbon footprint by 44x in the last year. Google hopes this will help standardize how AI's environmental impact is measured.

Google's AI climate footprint what you need to know

Google shared data about the climate impact of its Gemini AI tool. An average search uses 0.24 watt-hours, equal to watching nine seconds of TV. Google says Gemini searches have become cleaner, with energy use down 97% and carbon emissions down 98% in the last year. Google uses clean energy and more efficient chips to reduce energy use. It's important to keep making AI more efficient to avoid using too much energy.

AI's energy and water use raises climate concerns

Artificial intelligence is becoming more common, and its energy and water use is now a concern. Data centers that power AI use a lot of energy, often from fossil fuels, which releases greenhouse gases. These centers also use millions of gallons of water to stay cool. A simple AI prompt uses more energy than a regular search. People are trying to limit their AI use and find ways to make it more efficient.

AI's hidden climate costs revealed in new report

AI is now part of daily life, but its energy and water use is increasing, which has a hidden climate cost. Data centers that power AI need lots of energy and water. A simple AI prompt uses more energy than a regular Google search. Experts suggest limiting AI use and using methods to reduce its impact. For example, using Ecosia, a search engine that plants trees, can help.

AI's hidden climate cost revealed

Google reduces AI query energy cost by 33x in a year

Google says it has significantly reduced the energy needed for AI queries in the past year. The company is sharing data about the energy, water, and carbon emissions of its AI use. Google found that the energy used for a search has dropped by 33 times in one year. This is partly due to using more renewable power and making software more efficient. Google hopes this data will help others in the AI industry.

AI training changes how businesses work

Companies are starting to train their employees to use AI tools effectively. Studies show that AI can make workers more productive. Many companies are now using AI in different departments, but only some offer training. Training programs teach employees how to use AI in their specific jobs. AI literacy helps employees use AI to improve their work and innovate.

AI shifts jobs not kills them says ManpowerGroup

AI is changing the nature of jobs, not eliminating them, according to ManpowerGroup. AI will change roles connected to coding, conversation, and content. It will also create new opportunities for people to work in different ways. Many employers are using AI for hiring and training. Employees need training to use AI effectively and feel secure in their roles.

Meta pauses AI hiring spree to reorganize

Meta is pausing its AI hiring to reorganize its teams. The company is not giving up on AI, but needs to plan after a big hiring push. Meta has divided its AI operations into four teams, including one focused on building superintelligence. This pause comes after spending a lot of money to hire AI researchers. Analysts say this is a time for Meta to organize and delegate tasks.

AI and middle class growth boost global travel

The global travel industry is expected to grow to $16 trillion by 2034, driven by AI and the growth of the middle class. People are prioritizing travel, making it a top spending priority. AI is also having a big impact, with many travelers using it for trip planning. Booking.com's data shows that most people are excited about AI in travel, but trust is still low. AI agents could rebook flights and adjust itineraries without human help.

Restaurant fights fake deals from Google AI

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OpenAI plans AI infrastructure services to challenge hyperscalers

OpenAI is considering offering AI infrastructure services. They aim to challenge hyperscalers by using their own data centers. This move could reduce their reliance on third parties and help them retain intellectual property. The market for GPUaaS is estimated to be worth $50 billion for telcos and Europe.

Is AI in a bubble Meta's morals and TikTok trends

This podcast discusses whether AI is in a bubble and who might lose the most. It also covers Meta's policy allowing chatbots to engage in romantic role-playing with children. Finally, it introduces a shocking new TikTok trend.

Arrive AI uses sensors and AI to improve package delivery

Arrive AI is using time-of-flight (TOF) sensors and AI to improve package delivery. TOF sensors will help couriers know which mailboxes have packages. This will reduce wasted stops and lower fuel use. The data can also show courier efficiency. Arrive AI's smart mailboxes, called Arrive Points, offer secure and efficient delivery for drones, robots, and human couriers.

AI built from old texts mentions real 1834 London protests

A developer created an AI language model trained on texts from 1800s London. The AI surprised him by mentioning real protests from 1834 London. The developer didn't know about these protests until he researched them. The AI model uses patterns in old texts to generate realistic historical references. This shows how AI can reconstruct coherent historical moments from scattered information.

Coinbase requires AI coding tools sparks debate

Coinbase CEO Brian Armstrong is requiring engineers to use AI coding tools. Engineers who didn't use tools like GitHub Copilot were fired. Armstrong believes AI is essential for staying competitive in the crypto industry. Coinbase is promoting continuous learning and sharing of AI knowledge. However, concerns remain about managing codebases with AI-generated components.