this post was submitted on 14 Oct 2024
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Climate - truthful information about climate, related activism and politics.

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Discussion of climate, how it is changing, activism around that, the politics, and the energy systems change we need in order to stabilize things.

As a starting point, the burning of fossil fuels, and to a lesser extent deforestation and release of methane are responsible for the warming in recent decades: Graph of temperature as observed with significant warming, and simulated without added greenhouse gases and other anthropogentic changes, which shows no significant warming

How much each change to the atmosphere has warmed the world: IPCC AR6 Figure 2 - Thee bar charts: first chart: how much each gas has warmed the world. About 1C of total warming. Second chart: about 1.5C of total warming from well-mixed greenhouse gases, offset by 0.4C of cooling from aerosols and negligible influence from changes to solar output, volcanoes, and internal variability. Third chart: about 1.25C of warming from CO2, 0.5C from methane, and a bunch more in small quantities from other gases. About 0.5C of cooling with large error bars from SO2.

Recommended actions to cut greenhouse gas emissions in the near future:

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Global emissions set to peak in 2024 thanks to EVs, clean energy | New research predicts global CO2 emissions will begin to decline this year and halve by 2050. That’s not fast enough (www.canarymedia.com)
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[–] Kit@lemmy.blahaj.zone 1 points 2 months ago* (last edited 2 months ago) (1 children)

I'm having a hard time understanding. Can you offer an example of a product with an LLM built in that serves no purpose?

[–] apotheotic@beehaw.org 3 points 2 months ago

I didn't say they don't serve a purpose, I said that customers didn't ask for it/don't want it. I also said AI, not LLM (initially).

They serve a purpose, but in many cases are not well suited or ready for production.

Examples?

I use a food delivery app that added an AI chatbot to supposedly help you with restaurant and food suggestions, and it wasn't able to handle simple dietary restrictions (whereas standard filtering options on the search work just fine). A prompt as simple as "I'm looking for restaurants with vegan sandwiches" would return places that had vegan food and/or sandwiches. Even if it worked properly, just having adequate filter options and robust search is far more suited to the kinds of things users are doing on this kind of app.

Search engines putting their in-house LLM generated slop above actual search results, which is the equivalent of ensuring that the first search result is from a garbage site with hit or miss accuracy of information or relevance to the topic. I don't imagine it will be long before we start to see generative ai image results being served on the fly by in-house products when you search for images. Pass the user query to an LLM to generate a prompt for image gen, then pass that to image gen and bam! Slop!

Every fucking product has some stupid gradient-coloured ✨ AI button shoved into it now and it drives me up the wall.

Putting LLM auto complete into IDEs? Great, as long as I can turn it off and as long as they're not training it on the code I write in the IDE. AI denoising in rendering software? Excellent. Image infill/outfill using AI in photo editing and drawing software? Spot on.