From deea9e2131113ecedac355a06afed4e7b3a5987b Mon Sep 17 00:00:00 2001 From: Claude Date: Fri, 12 Jun 2026 15:26:04 +0000 Subject: [PATCH 1/3] Convert UK spellings to US spellings in content markdown files MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fixes: focussing→focusing, focussed→focused, specialising→specializing, prioritising→prioritizing, paralysing→paralyzing, centre→center, litres→liters, kilometres→kilometers across 8 content files. https://claude.ai/code/session_01HH4fuEBPHXUgGAjhqfdPvb --- .../index.md | 2 +- .../index.md | 2 +- .../index.md | 4 ++-- .../syngenio-ag-joins-the-green-software-foundation/index.md | 2 +- .../index.md | 2 +- .../index.md | 4 ++-- src/content/research/en/sci-csrd-compliance.md | 2 +- src/content/stories/sci-for-ai.md | 4 ++-- 8 files changed, 11 insertions(+), 11 deletions(-) diff --git a/src/content/articles/en/call-to-action-on-green-software-establishing-a-centre-of-excellence/index.md b/src/content/articles/en/call-to-action-on-green-software-establishing-a-centre-of-excellence/index.md index a6e73ec5..1c23b2a7 100644 --- a/src/content/articles/en/call-to-action-on-green-software-establishing-a-centre-of-excellence/index.md +++ b/src/content/articles/en/call-to-action-on-green-software-establishing-a-centre-of-excellence/index.md @@ -104,7 +104,7 @@ One approach you can use is recipe cards or small activities that you can promot This is the start of your journey by pulling together a like minded team. Whether that's informally as a Community of Practice, a formal Center of Excellence, or some other vehicle which works for your organization, you now have a direction and the start of a plan. -In future articles, I'll be focussing on more detailed activities and approaches that your teams can adopt, including observability, instrumentation, devops practices as well as incentives for change and the use of nudge theory. The team you pull together will be key to adopting these techniques.  +In future articles, I'll be focusing on more detailed activities and approaches that your teams can adopt, including observability, instrumentation, devops practices as well as incentives for change and the use of nudge theory. The team you pull together will be key to adopting these techniques.   As your community comes together, please remember that we, at the Green Software Foundation, need your help. Your community will be well placed to support our open-source projects including:  diff --git a/src/content/articles/en/green-software-advocate-series-an-interview-with-chris-lloyd-jones/index.md b/src/content/articles/en/green-software-advocate-series-an-interview-with-chris-lloyd-jones/index.md index b759dfb4..f99009e3 100644 --- a/src/content/articles/en/green-software-advocate-series-an-interview-with-chris-lloyd-jones/index.md +++ b/src/content/articles/en/green-software-advocate-series-an-interview-with-chris-lloyd-jones/index.md @@ -15,7 +15,7 @@ I first started thinking about technology's environmental impact during the lock ## What’s the underlying philosophy? -We need to find a new stability and status quo in our use of resources - stewarding the limited resources we have to support environmental sustainability - making technology circular, deciding when it's best **not** to create something new, or focussing on renewal and repair. It's about creating a new norm where we carefully consider our resource consumption, energy efficiency, and carbon emissions without compromising technological advancements. Establishing this new balance meshes with my passion for driving societal change. +We need to find a new stability and status quo in our use of resources - stewarding the limited resources we have to support environmental sustainability - making technology circular, deciding when it's best **not** to create something new, or focusing on renewal and repair. It's about creating a new norm where we carefully consider our resource consumption, energy efficiency, and carbon emissions without compromising technological advancements. Establishing this new balance meshes with my passion for driving societal change. ## Which recent developments were catalytic in advancing a green transition in software? diff --git a/src/content/articles/en/introducing-the-software-water-intensity-swi-project/index.md b/src/content/articles/en/introducing-the-software-water-intensity-swi-project/index.md index 8f03490b..26b665aa 100644 --- a/src/content/articles/en/introducing-the-software-water-intensity-swi-project/index.md +++ b/src/content/articles/en/introducing-the-software-water-intensity-swi-project/index.md @@ -5,7 +5,7 @@ date: 2026-06-10 published: true summary: Led by the Software Standards Working Group, the Software Water Intensity (SWI) project aims to develop a consistent way to measure and reduce software's water footprint. mainImage: SWE-Announcement-cover.png -mainImageAlt: Isometric illustration showing a data center stack at the centre, with water flowing from its base into a dark blue pool below. Small figures interact with the infrastructure — one examining a document, another observing the environment. Trees and natural elements surround the scene, rendered in green tones. Green Software Foundation logo in the bottom left corner. +mainImageAlt: Isometric illustration showing a data center stack at the center, with water flowing from its base into a dark blue pool below. Small figures interact with the infrastructure — one examining a document, another observing the environment. Trees and natural elements surround the scene, rendered in green tones. Green Software Foundation logo in the bottom left corner. featured: false tags: - standards @@ -22,7 +22,7 @@ Software's environmental impact has long been understood through a single lens: Measuring water impacts requires accounting for both direct and indirect sources. Data centers [contribute to water consumption in three main ways](https://www.eesi.org/articles/view/data-centers-and-water-consumption): cooling, electricity generation, and semiconductor manufacturing. Many facilities use evaporative cooling systems that remove heat from servers through water evaporation, and beyond the facility, power generation itself is water-intensive. Earlier in the supply chain, the production process of semiconductors used for compute hardware also requires water.  -As a result, large data centers can have a substantial water footprint, in some cases reaching [millions of litres per day](https://arxiv.org/abs/2506.22773), depending on cooling design, location, and workload mix. +As a result, large data centers can have a substantial water footprint, in some cases reaching [millions of liters per day](https://arxiv.org/abs/2506.22773), depending on cooling design, location, and workload mix. Yet the industry has no shared, reliable way to measure software's contribution to water consumption. diff --git a/src/content/articles/en/syngenio-ag-joins-the-green-software-foundation/index.md b/src/content/articles/en/syngenio-ag-joins-the-green-software-foundation/index.md index d67c5cd7..af5c9891 100644 --- a/src/content/articles/en/syngenio-ag-joins-the-green-software-foundation/index.md +++ b/src/content/articles/en/syngenio-ag-joins-the-green-software-foundation/index.md @@ -22,7 +22,7 @@ authors: link: "https://diyunuwablog.com/" --- -New Green Software Foundation member [Syngenio AG](http://www.syngenio.de) is an IT consulting and software development house based in Germany with subsidiaries in seven cities. Since 2001, Syngenio has focused on bringing IT and business departments together, specialising in digital payments, next generation banking, the Internet of Things (IoT) and green software. Syngenio continuously improves its climate impact since 2019 and is climate neutral since 2021. +New Green Software Foundation member [Syngenio AG](http://www.syngenio.de) is an IT consulting and software development house based in Germany with subsidiaries in seven cities. Since 2001, Syngenio has focused on bringing IT and business departments together, specializing in digital payments, next generation banking, the Internet of Things (IoT) and green software. Syngenio continuously improves its climate impact since 2019 and is climate neutral since 2021. In this interview with Jürgen Funke, a technology enthusiast and Board member at Syngenio, we discuss Syngenio’s plans with the Green Software Foundation and why green software is a key consideration for the company and its people.  diff --git a/src/content/articles/en/texas-state-university-deems-gsf-sci-an-effective-metric-to-evaluate-the-carbon-i/index.md b/src/content/articles/en/texas-state-university-deems-gsf-sci-an-effective-metric-to-evaluate-the-carbon-i/index.md index a67fb348..adf58623 100644 --- a/src/content/articles/en/texas-state-university-deems-gsf-sci-an-effective-metric-to-evaluate-the-carbon-i/index.md +++ b/src/content/articles/en/texas-state-university-deems-gsf-sci-an-effective-metric-to-evaluate-the-carbon-i/index.md @@ -16,7 +16,7 @@ Foundation models are large software applications for artificial intelligence (A Added capabilities have led to an exponential increase in model size and complexity in the past ten years. Increased size and complexity automatically bring more computing. [OpenAI](https://openai.com/blog/ai-and-compute/) reported that the required computing to train state-of-the-art deep learning models had increased 300,000-fold since 2012. For example, training the GPT-3 model consumed approximately 190,000 kWh of energy and produced 85,000 kg of CO2. -But what about after the training phase, when a model is deployed? This is where we have been facing an information gap. Previous studies had primarily focussed on energy use during the training phase of the model. The TSU study is bridging the gap by taking on the inference stage, where the model is put into action on live data to produce actionable output. +But what about after the training phase, when a model is deployed? This is where we have been facing an information gap. Previous studies had primarily focused on energy use during the training phase of the model. The TSU study is bridging the gap by taking on the inference stage, where the model is put into action on live data to produce actionable output. ## Natural Language Processing (NLP) focus of study diff --git a/src/content/articles/en/tokens-and-greens-measuring-the-impacts-of-agentic-ai/index.md b/src/content/articles/en/tokens-and-greens-measuring-the-impacts-of-agentic-ai/index.md index cd8be262..46461c4b 100644 --- a/src/content/articles/en/tokens-and-greens-measuring-the-impacts-of-agentic-ai/index.md +++ b/src/content/articles/en/tokens-and-greens-measuring-the-impacts-of-agentic-ai/index.md @@ -38,7 +38,7 @@ Read those numbers again. The same business outcome that used to cost one LLM ca This is what we call the agentic multiplier. Planning loops, tool calls, reflection, retries, multi-agent debate, context that compounds with every turn—each is defensible on its own. When stacked together, they turn a 2,000-token interaction into a 2,000,000-token workflow. -Every one of those tokens requires GPU time. Every GPU-second is energy drawn from a grid, carbon emitted somewhere along the way, and water consumed to cool the silicon that produced it. **The token is the unit we bill on. The kilowatt-hour, the gram of CO₂e, and the litre of water are the units that cost the planet.**  +Every one of those tokens requires GPU time. Every GPU-second is energy drawn from a grid, carbon emitted somewhere along the way, and water consumed to cool the silicon that produced it. **The token is the unit we bill on. The kilowatt-hour, the gram of CO₂e, and the liter of water are the units that cost the planet.**  ## **Why Energy, Carbon, and Water All Matter** @@ -52,7 +52,7 @@ These three resource dimensions are connected, but distinct, and treating any of **Carbon is the climate consequence.** A kilowatt-hour from a solar-heavy grid at midday carries a fraction of the carbon of one drawn from coal at night. Where and when an agent runs matters as much as how much energy it consumes. Embodied carbon, the emissions baked into the hardware, is rising rapidly as the industry expands AI data centre capacity. -**Water is the local impact, and its use by AI is increasingly drawing community attention.** Agentic workloads, with their long execution times and sustained GPU utilization, generate heat that needs cooling. In response, many data centers rely on evaporative cooling, which can consume millions of litres of freshwater per facility per day. Water impact is also place-specific—a litre consumed in a stressed watershed is not interchangeable with a litre elsewhere. The available alternatives are more energy-intensive and increase the carbon cost instead. +**Water is the local impact, and its use by AI is increasingly drawing community attention.** Agentic workloads, with their long execution times and sustained GPU utilization, generate heat that needs cooling. In response, many data centers rely on evaporative cooling, which can consume millions of liters of freshwater per facility per day. Water impact is also place-specific—a liter consumed in a stressed watershed is not interchangeable with a liter elsewhere. The available alternatives are more energy-intensive and increase the carbon cost instead. You cannot optimize for one resource and assume the other two will follow. A carbon-aware schedule that shifts workloads to a renewable-heavy region in a drought zone can lower emissions while worsening water stress. An efficiency gain that reduces tokens but routes inference to newer hardware with high embodied emissions can lower energy and raise total lifecycle carbon. **Green software practice has to hold all three in view.** diff --git a/src/content/research/en/sci-csrd-compliance.md b/src/content/research/en/sci-csrd-compliance.md index 3980b17b..029c7383 100644 --- a/src/content/research/en/sci-csrd-compliance.md +++ b/src/content/research/en/sci-csrd-compliance.md @@ -114,7 +114,7 @@ Despite the simplifications, EFRAG has reaffirmed that certain elements remain m | **E1-9** | Financial Effects | Quantifying how future carbon pricing affects the operational cost of software | > [!NOTE] -> While these core requirements (E1-1 through E1-9) remain in effect, the 2025 Omnibus I updates have simplified the specific metrics required under each, prioritising 'gross' reporting and financial control boundaries over previous, more complex additive approaches. +> While these core requirements (E1-1 through E1-9) remain in effect, the 2025 Omnibus I updates have simplified the specific metrics required under each, prioritizing 'gross' reporting and financial control boundaries over previous, more complex additive approaches. ### 1.3 The Software Dimension diff --git a/src/content/stories/sci-for-ai.md b/src/content/stories/sci-for-ai.md index 21ba3034..44120616 100644 --- a/src/content/stories/sci-for-ai.md +++ b/src/content/stories/sci-for-ai.md @@ -217,10 +217,10 @@ cta: ctaHref: "/standards/sci-ai/" --- -AI workloads were exploding across the software industry, but nobody had a standardized way to measure their carbon footprint. Training GPT-3 alone produced approximately 500 tonnes of CO₂ emissions — equivalent to a petrol car driving roughly 2 million kilometres — and close to 1,300 megawatt hours of electricity. And that was just one model from 2020. +AI workloads were exploding across the software industry, but nobody had a standardized way to measure their carbon footprint. Training GPT-3 alone produced approximately 500 tonnes of CO₂ emissions — equivalent to a petrol car driving roughly 2 million kilometers — and close to 1,300 megawatt hours of electricity. And that was just one model from 2020. The problem was not that organizations were unaware. Many GSF member organizations had sustainability commitments. But multi-million pound infrastructure decisions were being made without understanding relative carbon efficiency. Existing measurement approaches each captured only a slice of the picture: some covered only inference, others only training, and none addressed the full AI lifecycle. -The fragmentation was paralysing. Multiple metrics existed — the Green AI Index, EcoLogits, EnergyScore — but none were consensus-built, none had a pathway to policy or certification, and none incentivized the full range of engineering optimizations that could actually reduce emissions. The question was whether the industry could agree on a consistent, trustworthy way to measure that footprint so they could systematically reduce it. +The fragmentation was paralyzing. Multiple metrics existed — the Green AI Index, EcoLogits, EnergyScore — but none were consensus-built, none had a pathway to policy or certification, and none incentivized the full range of engineering optimizations that could actually reduce emissions. The question was whether the industry could agree on a consistent, trustworthy way to measure that footprint so they could systematically reduce it. > "While efforts can make AI more environmentally responsible, they will still leave a footprint behind." — Chris McClean, Global Lead for Digital Ethics, Avanade From ba79f5eab7ff66100e3c43ae965c3488e417b226 Mon Sep 17 00:00:00 2001 From: Claude Date: Fri, 12 Jun 2026 15:27:38 +0000 Subject: [PATCH 2/3] Convert UK spellings to US spellings on the home page MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit organisations→organizations, organisation's→organization's, ORGANISATIONAL→ORGANIZATIONAL, specialised→specialized, standardised→standardized, synthesise→synthesize. https://claude.ai/code/session_01HH4fuEBPHXUgGAjhqfdPvb --- src/pages/index.astro | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/src/pages/index.astro b/src/pages/index.astro index 753f5d6c..b618eb95 100644 --- a/src/pages/index.astro +++ b/src/pages/index.astro @@ -67,7 +67,7 @@ const featuredArticles = allArticles @@ -177,7 +177,7 @@ const featuredArticles = allArticles orgs={resolveOrgs(["Accenture", "Globant", "Google", "The Green Web Foundation", "HSBC", "Microsoft", "NTT DATA", "WattTime"])} tabs={[ { value: "challenge", heading: "Challenge", description: "Traditional standards development takes years. By the time specifications reach certification, regulations have evolved and technology has shifted. The bottleneck isn't technical complexity, it's coordination across dozens of stakeholders with competing priorities" }, - { value: "solution", heading: "Solution", description: "AI-accelerated consensus. GSF achieved ISO certification for SCI in under 3 years, unprecedented. Now applying AI to synthesise perspectives from hundreds of participants in days, not months" }, + { value: "solution", heading: "Solution", description: "AI-accelerated consensus. GSF achieved ISO certification for SCI in under 3 years, unprecedented. Now applying AI to synthesize perspectives from hundreds of participants in days, not months" }, { value: "impact", heading: "Impact", description: "From blank page to consensus design document in ten weeks. Fourteen experts from 15 organisations. The process is now proven and replicable across all new GSF specifications" }, ]} /> @@ -195,7 +195,7 @@ const featuredArticles = allArticles Date: Fri, 12 Jun 2026 15:31:02 +0000 Subject: [PATCH 3/3] Fix remaining UK spellings missed in first pass on home page MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit organisations→organizations (4 more instances), programmes→programs. https://claude.ai/code/session_01HH4fuEBPHXUgGAjhqfdPvb --- src/pages/index.astro | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/pages/index.astro b/src/pages/index.astro index b618eb95..9b8ebf5f 100644 --- a/src/pages/index.astro +++ b/src/pages/index.astro @@ -145,14 +145,14 @@ const featuredArticles = allArticles tabs={[ { value: "challenge", heading: "Challenge", description: "Sustainability pilots launched. Emissions measured. But initiatives stay trapped in IT, never scaling across procurement, operations, and business units. Boards expect transformation; teams are delivering point solutions" }, { value: "solution", heading: "Solution", description: "The SOFT framework, co-chaired by HSBC and Microsoft, built with Avanade, BCG X, Cisco, NTT DATA, Siemens, and UBS. Not another measurement tool. The comprehensive framework for embedding software practices systematically across every function" }, - { value: "impact", heading: "Impact", description: "Ratified November 2025. Four global organisations already implementing the framework across Strategy, Implementation, Operational, and Compliance" }, + { value: "impact", heading: "Impact", description: "Ratified November 2025. Four global organizations already implementing the framework across Strategy, Implementation, Operational, and Compliance" }, ]} /> @@ -178,7 +178,7 @@ const featuredArticles = allArticles tabs={[ { value: "challenge", heading: "Challenge", description: "Traditional standards development takes years. By the time specifications reach certification, regulations have evolved and technology has shifted. The bottleneck isn't technical complexity, it's coordination across dozens of stakeholders with competing priorities" }, { value: "solution", heading: "Solution", description: "AI-accelerated consensus. GSF achieved ISO certification for SCI in under 3 years, unprecedented. Now applying AI to synthesize perspectives from hundreds of participants in days, not months" }, - { value: "impact", heading: "Impact", description: "From blank page to consensus design document in ten weeks. Fourteen experts from 15 organisations. The process is now proven and replicable across all new GSF specifications" }, + { value: "impact", heading: "Impact", description: "From blank page to consensus design document in ten weeks. Fourteen experts from 15 organizations. The process is now proven and replicable across all new GSF specifications" }, ]} /> @@ -218,7 +218,7 @@ const featuredArticles = allArticles features={[ { icon: "/assets/standardized-icon.svg", title: "Standards", description: "Our members develop vendor-neutral specifications, from SCI to SOFT, through an AI-facilitated consensus process that's achieved ISO certification in record time", linkText: "Explore our standards →", linkHref: "/standards/" }, { icon: "/assets/co2-icon.svg", title: "Policy & Research", description: "Translating technical reality into regulatory language. Position papers, the State of Green Software report, and a policy radar tracking emerging legislation, giving members the evidence and the voice", linkText: "See our policy work →", linkHref: "/policy/" }, - { icon: "/assets/renewable-icon-new.svg", title: "Education", description: "Building capability at every level. From the free Green Software Practitioner course (130,000+ completions) to advanced certification and cohort programmes, turning commitments into competence", linkText: "Start learning →", linkHref: "/education/" }, + { icon: "/assets/renewable-icon-new.svg", title: "Education", description: "Building capability at every level. From the free Green Software Practitioner course (130,000+ completions) to advanced certification and cohort programs, turning commitments into competence", linkText: "Start learning →", linkHref: "/education/" }, { icon: "/assets/realtime-icon-new.svg", title: "Community", description: "Champions, meetups, podcasts, and events, a global network of practitioners driving sustainable software forward. The movement that turns individual effort into industry change", linkText: "Join the community →", linkHref: "/community/" }, ]} />