#BigAI is #climate poison. It steals from the future of all life.
https://www.theguardian.com/environment/2026/jan/29/gas-power-ai-climate
#BigAI is #climate poison. It steals from the future of all life.
https://www.theguardian.com/environment/2026/jan/29/gas-power-ai-climate
An enviro defense group reached out asking for my security take on using BigAI in activism work. After giving them the take (basically "don't"), I took liberty to talk about the ethics of using it in the first instance, especially in the context of human rights and climate activism.
Sharing here in case useful on the same grounds elsewhere.
I have posted about how #AI, well #bigai, has been won by #Google. Not only #gemini, it is their infrastructure. But forget that. Here is a beautiful video about how #openai MUST become #Facebook, well #meta, well, #rayban, err, point is, #Zuckerberg, a guy who once lucked into the future is no visionary, and not even a good fraud. All while serial #fraud #samaltman is aimed straight at Mark's empire. Watch out Zuck, #chatgpt is coming for you, buddy.
Heed:
The best way to stay on top of the resistance is to join/lead the resistance.
Generative AI is not necessarily emancipatory or liberating. It has a significant environmental impact, violates copyrights, destroys jobs, and in fact increases job insecurity, is neo-colonial, feeds pigs of #BigTech and #BigAI, and even the definition of open source AI with OSAID is too flexible. There are much better and more useful things to do with AI and Generative AI than to maintain a productivist logic.
Tools are meant to help, not replace nor destroy.
A report from Open Markets Institute and Mozilla lays out a roadmap for governments and regulators to take immediate steps to ensure that artificial intelligence (AI) remains a competitive and innovative field, rather than being dominated by a few tech giants.
Denmark to tackle deepfakes by giving people copyright to their own features.
“Everybody has the right to their own body, their own voice and their own facial features.”
At its core, #CCSignals is an attempt by Creative Commons, a Silicon Valley-based organisation, to legitimise the AI grifts of its donors – Google, Microsoft, and Meta (Zuckerberg).
Creative Commons was always a thinly-veiled attempt at enabling Big Tech data farmers to get more data (that’s why the whole “open data” realm is so well funded/popular – open as in “open for business” not free as in “freedom”) but at least their original licenses (non-commercial, share-alike, no derivatives, and yes, sometimes even just attribution) were genuinely useful for people as well as for corporations.
I like to think (perhaps naïvely, I don’t know) that Lawrence Lessig had his heart in the right place when he came up with it all. But I’m biased. I learned how to present from him (including how to use my presentation display) and we even presented a session together back in the day when I was running Open Source Flash. I’m also a big fan of his concept of “institutional corruption”. But I have no illusions that we see eye to eye on all things and I haven’t spoken to him in over a decade.
Anyway, that’s neither here nor there.
This is Creative Commons jumping the shark (is jumping the shark the original enshittification?) and destroying their credibility with a scheme that doesn’t benefit people, only their corporate donors.
Keep using the existing licenses, as they have value, but don’t help them legitimise this latest land grab by the same trillion-dollar corporations and billionaires who are busy destroying our habitat, human rights, and democracy.
In fact, if they go ahead with this, it might be an idea to fork the original Creative Commons licenses and publish them under a different name in an effort to counter the use of their legitimacy to whitewash Big AI.
#CreativeCommons #SiliconValley #BigTech #BigAI #AI https://mastodon.cloud/@raymondpert/114754532045016792
2/3 At its core, #CCSignals allows creators to communicate how they want their data reused. The optional signal elements include: • Credit – attribution required • Direct Contribution – support through funding or services • Ecosystem Contribution – benefit the broader open data space • Open – encourages use of transparent #AI models This gives stakeholders flexibility within a shared ethical standard. #openaccess