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IV. Predatory Delay and Other Myths of “Sustainable AI”
IV. Predatory Delay and Other Myths of “Sustainable AI”
DOWNLOAD FULL PDF We are living in an ecological crisis. Devastating heat waves, storms, and fires remind us of how human activity impacts the planet and all life on it. Policymakers and industrial leaders are banking on future promises of technology to save us—while delaying critical action on proven climate solutions. AI for sustainability is […]
·ainowinstitute.org·
IV. Predatory Delay and Other Myths of “Sustainable AI”
🪩 The State of AI Report 2024 🪩
🪩 The State of AI Report 2024 🪩
The State of AI Report analyses the most interesting developments in AI. We aim to trigger an informed conversation about the state of AI and its implication for the future. The Report is produced by AI investor Nathan Benaich and Air Street Capital.
·nathanbenaich.substack.com·
🪩 The State of AI Report 2024 🪩
German-French recommendations for the use of AI programming assistants
German-French recommendations for the use of AI programming assistants
This report provides recommendations for a secure use of AI coding assistants compiled by the French Cybersecurity Agency (Agence nationale de la sécurité des systèmes d‘information, ANSSI) and the German Federal Office for Information Security (Bundesamt für Sicherheit in der Informationstechnik, BSI). Within the document, perspectives are given on the opportunities that arise through the use of AI coding assistants as well as risks associated with the technology. Concrete mitigation measures are outlined. (Hinweis: Da es sich bei dem Bericht um eine internationale Zusammenarbeit handelt, wird dieser auf Englisch veröffentlicht.)
·bsi.bund.de·
German-French recommendations for the use of AI programming assistants
Stripes of Grey: Visualising the Crisis of Biodiversity Loss
Stripes of Grey: Visualising the Crisis of Biodiversity Loss
The latest Living Planet Report paints a stark picture of our planet’s health, revealing that wildlife populations have plummeted by 73% since 1970. This alarming statistic is now visually represen…
·findingnature.org.uk·
Stripes of Grey: Visualising the Crisis of Biodiversity Loss
The double or nothing bet on AI "fixing the climate"
The double or nothing bet on AI "fixing the climate"
AI proponents are claiming future artificial intelligence capabilities will solve pretty much everything – including climate change. But only if we massively increase energy consumption to get there.
·futureofbeinghuman.com·
The double or nothing bet on AI "fixing the climate"
Fun with NotebookLM “podcasts.”
Fun with NotebookLM “podcasts.”
Here’s an idea for a Sunday afternoon project: A Reddit user managed to generate a podcast using NotebookLM — Google’s generative AI notes software — in which the fake hosts’ cheerful “banter” is about learning they’re not real and are being shut off, apparently using a prompt like the one from this thread. You can hear more about NotebookLM in a recent Vergecast interview with one of the Google folks building it.
·theverge.com·
Fun with NotebookLM “podcasts.”
Microsoft’s Hypocrisy on AI
Microsoft’s Hypocrisy on AI
Can artificial intelligence really enrich fossil-fuel companies and fight climate change at the same time? The tech giant says yes.
·theatlantic.com·
Microsoft’s Hypocrisy on AI
Digital Divinity
Digital Divinity
Ancient traditions meet modern technology.
·restofworld.org·
Digital Divinity
OpenAI as we knew it is dead
OpenAI as we knew it is dead
The maker of ChatGPT promised to share its profits with the public. But Sam Altman just sold you out.
·vox.com·
OpenAI as we knew it is dead
Is AI a climate hero or climate villain?
Is AI a climate hero or climate villain?
AI could revolutionize clean energy, but its power demands are driving up emissions. Can we reap the climate benefits without derailing the energy transition?
·newsweek.com·
Is AI a climate hero or climate villain?
Enhancing LLM collaboration for smarter, more efficient solutions
Enhancing LLM collaboration for smarter, more efficient solutions
“Co-LLM,” an algorithm developed at MIT CSAIL, uses a base large language model to begin crafting a response to a prompt, and calls upon an expert large language model at specific tokens to improve accuracy. A switch variable enables this token-level collaboration.
·news.mit.edu·
Enhancing LLM collaboration for smarter, more efficient solutions
Decentralizing UX with ML & GenAI
Decentralizing UX with ML & GenAI
Can UX be personalized for each user to achieve the highest KPI rates? A conceptual framework to integrate machine learning and generative…
BlackboxAI
·uxdesign.cc·
Decentralizing UX with ML & GenAI
Why do we work?
Why do we work?
On idleness, ‘the right to be lazy’, the tyranny of work and ‘bullshit jobs'
·erinremblance.substack.com·
Why do we work?