There’s a similar project that would supply power from Australia-Asia that spans 4,600 km when completed. But such big projects could easily be caught up in various delays, and it’s a problem if a country is too dependent on a single power link. Self-reliant renewable energy production definitely seems more secure.

It’d be great if AI is powered entirely by renewables, but how trustworthy is that target?

Companies and politicians are known to drag their feet switching to renewables or use greenwashing to show they care more about climate than they actually do.

Quoting from another article:

The researchers said, unfortunately, it would be too dim to see with the naked eye. According to the NASA JPL, 2024 PT5 has an absolute magnitude of 27.6, which is very dim and won’t be visible through most amateur telescopes.

Oops.
Archive link: https://archive.ph/k1qZ9

Some regions may see slower changes than others in the short term. Long term, all will be affected.

The 72-cell panels, comprised of Oxford PV’s proprietary perovskite-on-silicon solar cells, can produce up to 20% more energy than a standard silicon panel.
Oxford PV has been developing and working to commercialise this technology since 2014, with a recent module efficiency record of 26.9%

Summary:

Researchers at the University of Saskatchewan are using AI to develop a more efficient method for producing green hydrogen. The researchers have been searching for the optimal alloy or metal combination to act as a catalyst, aiming to make the reaction more efficient and affordable. The AI program analyzed over 36,000 metal oxide combinations through virtual simulations and tested the top candidate in the lab. The recommended alloy of ruthenium, chromium, and titanium emerged as the clear winner, demonstrating 20 times better stability and durability than the benchmark metal.

Oh, that’s crazy. I guess it’s more about the cost/risk of upgrading their core systems rather than the language itself.

Where is COBOL being used still?

Source WSJ article without paywall:
https://archive.is/R06ay

They seem to be experimenting with that for sure, but need to ensure quality of the model doesn’t degrade, as per source article:

Anthropic’s chief scientist, Jared Kaplan, said some types of synthetic data can be helpful. Anthropic said it used “data we generate internally” to inform its latest versions of its Claude models. OpenAI also is exploring synthetic data generation, the spokeswoman said.

Probably those who distrust technology companies in general I’d guess.

Here’s the original link of the study:
https://www.edelman.com/sites/g/files/aatuss191/files/2024-02/2024%20Edelman%20Trust%20Barometer%20Global%20Report_FINAL.pdf

Only a trace amount in the air. Water is the best source but energy intensive to extract.

deleted by creator

Written article:
https://phys.org/news/2023-11-earth-29c-current-climate-pledges.html

As requested, we’ve added the old reddit UI.
It can be accessed here: https://old.futurology.today

Apart from Dokku, there’s coolify and caprover.

This seems to be the conversation logs being used for training Bard, without the bits pulled from Gmail etc. (if we’re to believe the bard workspace TOS). I believe OpenAI does it too, for improving chatgpt, unless you’ve an enterprise subscription.

I probably won’t be using this too, as terms can change anytime. But I can’t seem to find the part where it says it’ll using it for training data. I read the verge article, bard blog as well as TOS that is presented when you want to opt-in to this, but didn’t see find it.

Here’s the excerpt from the TOS:

How data is used

Bard processes your personal data that it gets from Google Workspace, such as your name and email address, and your private content, like emails or docs you created or received, and uses it to:

• Provide Bard features to you. For example:
  • Summarize your emails when you ask
  • Share content at your request
• Maintain Bard services. For example:
  • Recover from service crashes
  • Measure overall user experience

Your personal content that Bard gets from Google Workspace is:

• Not allowed to be accessed or reviewed by human reviewers
• Not used to improve generative machine learning technologies that power Bard
• Not used to show you ads
• Not stored past the time period needed to provide and maintain Bard services

Happens to the best of us! localhost or 127.0.0.1 should work too.