Empati’s Post

As both an AI business and a decarboniser, Empati is well-aware of the complicated relationship between AI and climate change mitigation. We are techno-optimists and we see first hand how AI adds to productivity and has the power to propel the the world, especially the Global South, in a truly transformational manner, far more impactful even than the great mobile phone leapfrog in recent years. Typical forecasts see AI adding $10 trillion per year to global GDP, roughly an additional 10%. AI powered robotics will add something similar. What we are also very conscious of is the power consumption explosion at the heart of the AI revolution and the much lower power price inelasticity of demand of AI than any normal consumer, voter or Government. The good news is that the Empati fungible tokenised abatement system now makes it possible for the power quandary and the carbon quandary to be addressed and optimised independent of each other; 99.5% accurancy under p90 conditions. The carbon footprint of a data centre business can now be deleted in real time independent of data centre locations and local power constraints. That leads to smarter decisions, much more value for money and, invariably yields free and clean energy for customers in developing markets. We see data centres AI dollars, being a great force for good in the transition capital stack as we replace coal by marginal cost zero green energy in developing countries. We have the technology, the fungible tokenised carbon abatement and a financial model to back it up. Get in touch. Stewart

The Hidden Cost of AI: Carbon Footprint Google's target is to reach net zero emissions by 2030 but its greenhouse gas emissions in 2023 were 48% higher than in 2019. The recent BBC article https://lnkd.in/eByXR9a3 sheds light on an often overlooked aspect of AI: its environmental impact. As AI continues to advance, the carbon footprint associated with training and running these systems is becoming a critical factor in operational costs and sustainability efforts. Understanding the workflow-based carbon footprint is not just an ethical imperative but a financial one as well. Companies must incorporate this metric into their ROI calculations to truly understand the cost and impact of their AI initiatives. At Silicon Data, we specialize in helping businesses estimate and manage their carbon footprint within their compute workflows. Please reach out to me if you would like to discuss how we may collaborate to create a more sustainable future for AI. #Sustainability #AI #CarbonFootprint #ROI #SiliconData #DataTransparency #GreenTech

🌳 💨 AI drives 48% increase in Google emissions  – BBC “Google's greenhouse gas emissions in 2023 were 48% higher than in 2019, according to its latest environmental report. The tech giant puts it down to the increasing amounts of energy needed by its data centers, exacerbated by the explosive growth of artificial intelligence (AI). AI-powered services involve considerably more computer power - and so electricity - than standard online activity, prompting a series of warnings about the technology's environmental impact.” The problem lies in using overpowered AI models for tasks, where smaller, fine-tuned models would suffice. For example, using GPT-2 (175M parameters) for text summarization instead of GPT-3 (175B parameters) reduces energy consumption for inference by three orders of magnitude. If we continue using tanks for grocery pick-up, Zuck's prediction that energy will be the next bottleneck for AI will undoubtedly come true. It's time to rethink our approach and prioritize energy-efficient AI solutions for a sustainable future. https://lnkd.in/e3iRfgt2 #greenAI #sustainability #artificialintelligence

#AI might be the most irresistible technology ever offered to humanity, but Google has admitted to a 13 per cent increase in its greenhouse gas emissions and increased by 48 per cent over the past five years, fuelled by current #consumer reliance on AI in all aspects of life. In 2023, its data centres consumed more than 24 terawatts an hour, equivalent to 7 to 10 per cent of all #electricity consumed by data centres worldwide. #greenhouseemissions #ghg #datacentres #carbonemissions #netzero Read more: https://lnkd.in/gjiBbprD

Curious about the recent surge in Google's greenhouse gas emissions? According to Sky News, Google's emissions have risen by 48% in the last five years. Dive into the article to learn more about the impact of AI on this concerning trend. It's a thought-provoking read! #Google #ClimateChange #AI_impact https://ift.tt/98nIwtR

Hey LinkedIn fam! 🌟 Let's talk about the impact of AI on the environment. Sky News just reported that Google's greenhouse gas emissions have surged a whopping 48% in just five years, and it's got us thinking about the sustainability of AI technology. We've always known the power and potential of AI, but with that comes a responsibility to minimize its environmental impact. It's crucial for tech giants and innovators to prioritize sustainable practices and find solutions to mitigate these emissions. What are your thoughts on this? Let's join the conversation and work towards a greener, more sustainable future. #AI #Sustainability #EnvironmentImpact https://ift.tt/98nIwtR

Bits for watts? Seems the giant tech companies are dragging their feet in their sustainability targets as they need now more watts for AI related bits .. is it really intelligent? Artificial for sure … “the International Energy Agency estimates that a Google search query requires 0.3 watt-hours of electricity on average, while a ChatGPT request typically consumes about 2.9 watt-hours. An October study from Dutch researcher Alex de Vries estimated that the “worst-case scenario” suggests Google’s AI systems could eventually consume as much electricity as the country of Ireland each year, assuming a full-scale adoption of AI in their current hardware and software.” https://lnkd.in/d9Bg76kU

Is AI a boon or bane for sustainability? 🤔 While today there are plethora of companies trying to solve the sustainability issues through AI, a report from Google actually breaks this myth and revealed 𝐚 48% 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐢𝐧 𝐠𝐫𝐞𝐞𝐧𝐡𝐨𝐮𝐬𝐞 𝐠𝐚𝐬 𝐞𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 2019 𝐭𝐨 2023. And the culprit? 𝐓𝐡𝐞 𝐦𝐚𝐬𝐬𝐢𝐯𝐞 𝐞𝐧𝐞𝐫𝐠𝐲 𝐝𝐞𝐦𝐚𝐧𝐝𝐬 𝐨𝐟 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭𝐞𝐫𝐬. AI services, like ChatGPT, require significantly more computational power—and thus more electricity—than traditional software, sometimes using up to 33 times more energy. While Google aims to reach net zero emissions by 2030, the integration of AI into its products poses significant challenges. Most data centers in Europe and the Americas rely on carbon-free energy, but those in the Middle East, Asia, and Australia are more dependent on carbon-intensive sources. So, as we embrace AI’s potential, we must also tackle its environmental footprint. 𝐇𝐨𝐰 𝐝𝐨 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤 𝐰𝐞 𝐜𝐚𝐧 𝐛𝐚𝐥𝐚𝐧𝐜𝐞 𝐭𝐡𝐞 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐢𝐭𝐬 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐢𝐦𝐩𝐚𝐜𝐭? #Sustainability #AI #ClimateChange #GreenTech #DataCenters #GreenIT Inspired by -

📢 Check out this insightful article on AI and its impact on the environment. The @SkyNews report reveals Google's greenhouse gas emissions have surged 48% in just five years. It's a stark reminder of the environmental challenges posed by technological advancements. Let's spark a conversation on how AI can be developed sustainably and responsibly. #AI #EnvironmentalImpact #Sustainability https://ift.tt/98nIwtR

Google and Microsoft are now saying they will not meet their 2030 #carbonzero objectives because of ...#AI. This raises several questions (and I draw your attention on the 3rd): 1. Do we need to run #chatGPT to produce an image we could have drawn or at least get from a gifted designer and 2. They should run towards #renewables to fuel their data centres, but in my opinion, the third reason is the one we need to discuss the most. 3. QUALITY OF DATA. This is the key to #ai. What do we have with GenAI. They put everything in a huge barrel, stir it, and hope that when they take a scoop out (your query) it won't be an hallucination. Notwithstanding that LLMs are easily hackable and you may not wish to see critical information end up in their soup. I am not saying we should move away from #GenAI. I am saying we need to work more on BETTER AI, not BIGGER ones. And better ai starts with better data. Better data starts with federated architecture and a solid trust framework. This is what we need to build and grow. The solution to polluting cars is not to fill their tank with biofuel, it is to use alternatives: electric train or car, tramway or bicycle or even... walk. Looking forward to this exciting task. Do not hesitate to reach out. mydata.org/declaration mydata.org/papers mydata.org/slack mydata.org/join MyData Global Christopher Wilson Teemu Ropponen Dr. Alex Bowyer Viivi Lähteenoja Nina Müller StJohn "Singe" Deakins Audrey Plonk Miapetra Kumpula-Natri Damian Boeselager Axel Voss Kristo Lehtonen Laura Halenius David Sadek Jean-Luc Beylat Borja Santaolalla Eeshita Pande Tom Fish Liz Brandt Mariane ter Veen Jaana Sinipuro Johnny Ryan Ulrich Ahle Alberto Palomo Renaud Vedel