Windows 11 contains hundreds of dark patterns meant to trick you into unwanted data collection and ad targeting. I discovered that Windows 11 had unwilling signed me in to a Microsoft account. You can disable/remove that account by going to "Accounts > Your info > Stop signing in to all Microsoft apps automatically" in settings.
@nickalt
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@simon Catalytics converters increase fuel use. Fuel is expensive. Other people's lungs are worth nothing to Musk.
@simon As a first and very accurate approximation, "carbon footprint" is whatever you pay for something.
The best way to reduce your environmental impact is to spend less money.
@simon It's almost hard to believe "green" distractions like this aren't intended to prevent more effective actions (e.g. spending less money).
Also worth noting that Google Gemini is probably 80% more efficient: https://venturebeat.com/ai/the-new-ai-calculus-googles-80-cost-edge-vs-openais-ecosystem/
@simon Coincidentally I just did this yesterday with Gemini 2.5 in AI Studio. Worked first try, but had a very weird behavior where it removed all email addresses in the data.
@simon I'm surprised Brave is allowed to resyndicate their Bing search results like this.
@simon you might have over engineered this? You can point yt-dlp at a profile url and it will download all the videos. I downloaded 260K videos this way.
@simon "Generate query ✨". Sparkles have become an informal standard to indicate AI magic: https://www.nngroup.com/articles/ai-sparkles-icon-problem/
@djh @furicle Agree about externalities wrt beef. CO2 does have a cost (it may be too low, but it does have one), so it's fair to compare LLMs and flights on cost. If a VC-sponsored AI company is actually spending $10 per query and only charing the customer $0.05, the cost is misleading, but that AI company was going to spend/lose that money anyway.
@simon Cost is a pretty direct an fair/accurate comparison of CO2 emissions for this (and everything really). A flight is mostly the cost of burning fuel, and LLM usage is mainly the cost of electricity. You're almost certainly not using more than a plane ticket's worth of electricty in a year of LLM usage. Datacenters are also more likely to get their electricity from low carbon sources, which works even more in their favor.