I'm using Kagi these days. It still has it indexed.

So Google is shooting themselves even more in the foot. Their search is already questionable, and they keep making it worse.

I used to run analysis using the US road network and the list of charging stations. A year ago, the longest stretch of roads without high-speed chargers was Montana to North Dakota, with 220 miles. The next one was in Oregon, something around 180 miles. More than 99% of the named locations reachable by numbered US highways and freeways were within 100 miles of a fast charger.

So technically, if you did even a bit of planning, you could reach ANY point on the public US roads and still have energy to drive to the next charger with a car having around 350 miles of range. With just 20-30 carefully placed stations, you can cut that down to about 250 miles of range, well within the current capabilities of EVs.

I eyeballed the map, and it looked like around 200 additional fast DC stations would put _any_ reachable location in the lower 48 states within 50 miles of a charger. This is the endgame for the range anxiety. And even at $1m per charger, it would cost less than one day of funding the military. Heck, even at $10m per charger it would still be less!

Connected appliances are great, as long as the connection is completely local.

Duh. BMW and Toyota. They have squandered years of development time. BYD is producing solid-state batteries in small batches for engineering tests, and they're scaling up the production now. They are expecting production rollout around 2027, with gradual scaling over the next several years.

At the same time, CATL is already producing LFPs with 200Wh/kg system density, enough for a 400-mile range on a typical EV ( https://www.catl.com/en/news/6... ). And the sodium-ion cells are at around 140Wh/kg, comparable to Li-Ion batteries in Teslas just 10 years ago with 200Wh/kg cells announced this year!

We might end up not even _needing_ solid-state batteries for most needs. I actually expect them to be used only for devices that need high energy density, like wearables and phones.

Ha. The X-ray lithography needs a pretty giant particle accelerator to work. It's not something that can be small. That's because it needs monochromatic and highly parallel rays. Various companies have been contemplating this for decades.

Advising customers, providing discounted traffic and instances, defaulting to us-east-2 in the console for new accounts, etc.

It's not the question of redundancy. It's the problem with customers just building everything in us-east-1, so it now dwarfs everything else.

The push is still there, it's just that us-east-1 has so much inertia that they _have_ to keep expanding it.

The replacement for us-east-1 is us-east-2. Amazon has been pushing companies to use it for quite a while. They even have discounted traffic between us-east-1 and us-east-2, it costs exactly the same as traffic within the us-east-1.

Why? EVs are just better and cheaper than ICE cars once the charging infrastructure is in place and you don't have some exotic needs. And it's in place in Norway.

Now do that with Youtube or Twitch that are airing live games.

This is actually pretty significant if you want to use speakers to listen to a game, for example, while you're watching it on your laptop.

It's not disruptive, but it'll help a bit. And yes, pharmacists are important. But do you need them for ALL orders? Even if you're doing a routine refill for a medication that you've been using for years. Or you're picking up an antibiotics prescription. I'm not saying that people should just buy antibiotics without prescription, I'm saying that there's no real need to involve pharmacists in these simple transactions.

Right now I need to go to a pharmacy, drop off my prescription (if it's not electronic), and then wait for somebody to count out pills into a box. And there must be a pharmacist present in case I have questions.

And all of this even if you're buying a pack of antibiotics for an ear infection.

Well, they definitely succeeded. It's just that everybody else on the Web now gets to use their recordings for AI training.