keybits

Surprised at all the negative comments here. I'm on macOS, using vertical tabs with a default theme and the UI is clean and just gets out of my way. Been very happy with Firefox since I switched a few months ago.

If my horse is ‘a useful piece of software’, what are the cars and motorboats that AI coding is going to give me?

Can you clarify how this relates to Tachyons - do all Tachyons features work? Or is it a subset of Tachyons?

I enjoyed about your blog post, but I was curious about the claim in point 2 above. I asked Claude and it seems the claim is false:

# Fact-Checking This Climate Impact Claim

Let me break down this claim with actual data:

## The Numbers

*US Air Conditioning:* - US A/C uses approximately *220-240 TWh/year* (2020 EIA data) - This represents about 6% of total US electricity consumption

*Global Data Centers:* - Estimated *240-340 TWh/year globally* (IEA 2022 reports) - Some estimates go to 460 TWh including cryptocurrency

*AI's Share:* - AI represents roughly *10-15%* of data center energy (IEA estimates this is growing rapidly)

## Verdict: *The claim is FALSE*

The math doesn't support a 4:1 ratio. US A/C and global data centers use *roughly comparable* amounts of energy—somewhere between 1:1 and 1:1.5, not 4:1.

The "40 times AI" conclusion would only work if the 4x premise were true.

## Important Caveats

1. *Measurement uncertainty*: Data center energy use is notoriously difficult to measure accurately 2. *Rapid growth*: AI energy use is growing much faster than A/C 3. *Geographic variation*: This compares one country's A/C to global data centers (apples to oranges)

## Reliable Sources - US EIA (Energy Information Administration) for A/C data - IEA (International Energy Agency) for data center estimates - Lawrence Berkeley National Laboratory studies

The quote significantly overstates the disparity, though both are indeed major energy consumers.