Never understood this about Amazon. Alexa is a perfect example. When the Echo devices came out around 10 years ago they blew people away with voice UI, and yet the Alexa app was and is a poorly made web wrapper with car infotainment levels of menu-driven UX. Any chance they had of making Alexa a real consumer product died with that piss poor app and the clumsy way they implemented Skills.

>> there’s a million small scale AI apps that just aren’t worth building because there’s no way to do the billing that makes sense

Maybe they are not worth building at all then. Like MoviePass wasn’t.

I think they are smart making a distinction between a D2C subscription which they control the interface to and eat the losses for vs B2B use where they pay for what they use.

Allows them to optimize their clients and use private APIs for exclusive features etc. and there’s really no reason to bootstrap other wannabe AI companies who just stick a facade experience in front of Anthropic’s paying customer.

> eat the losses

Look at your token usage of the last 30 days in one of the JSON files generated by Claude Code. Compare that against API costs for Opus. Tell me if they are eating losses or not. I'm not making a point, actually do it and let me know. I was at 1 million. I'm paying 90 EUR/m. That means I'm subsidizing them (paying 3-4 times what it would cost with the API)! And I feel like I'm a pretty heavy user. Although people running it in a loop or using Gas Town will be using much more.

I just ran some numbers and it works out if you're a prolific user.

Over 9 days I would have spent roughly $63 dollars on Codex with 11.5M input tokens plus 141M cached input tokens and 1.3M output tokens.

That roughly mirrors the $100-200/wk in API spending that drove me to the subscription.

  | Category | Tokens | Rate (/1M) | Estimated Cost |
  |---|---:|---:|---:|
  | Input (uncached) | 11,568,331 | $1.75 | $20.24 |
  | Cached input | 141,566,720 | $0.175 | $24.77 |
  | Output | 1,301,078 | $14.00 | $18.22 |
  | Total | 154,436,129 | — | $63.23 |

BUT... like a typical gym user. This is a 30/d window and I only used it for 9 days, $63 worth. OpenAI kept the other $137.

It makes sense though for heavy use.

My hopes are on harness engineering allowing cheaper (but still large) models to shine. I'm evaluating DeepSeek because it would allow insane agent armies. Although DeepSeek charges for thinking tokens, something easy to overlook.

DeepSeek has the tendency to think... a lot!. Without a good harness I can't evaluate it well; time will tell.

OpenAI doesn't; it's embedded into the price, I think.

Cheap = we can run 10x the workloads, bigger imagination = innovation. Maybe 10 dumb agents in a loop can beat 1 Opus? Haha.

Unsolving the problem of human vehicle interaction.

Looks like a sim racers rig or something Logitech designed. This bland tech aesthetic and cost cutting mindset has already ruined Porsche and I guess now it’s Ferrari’s turn.

I don't understand how you find that to look like a sim racing rig when the Ferrari of yesterday looks like this: https://www.motor1.com/news/764475/ferrari-admits-mistake-re...

Tesla is good at building big factories. The Cybertruck (total sales ~46k) factory was designed to build 250k units a year and later 125k. Meanwhile BYD outsells Tesla in China and globally.

Over the last five years Tesla has made a profit of about $41 billion while BYD has had a loss of about $13 Billion. Would rather be the Apple of electric cars than always selling them at a loss.

That’s what the sites that generate the music are for. Bandcamp is for musicians.

Used this when I moved internationally. Cool to watch your stuff moving around the world!

It seems like this only covers data from 2012, so probably one of the other live websites like marinetraffic?

You must have been using SO different to me then. For me it was more like a Wikipedia for specific language errors, compiler/IDE issues etc.

Never once saw anyone discussing how to implement CRUD or claiming one framework was better than another. That was the point - concrete answers not opinions.

First they put screens in for navigation because people were using dash mounted ones. Guess it felt logical to move the entertainment and info in there too (infotainment) and then came the EVs and the goofy tech era of cars. Late 2010s was peak automotive - most modern cars are like tacky appliances inside now.