Well most of the increase in prices goes into petroleum companies' profits (at least the ones that can export). So it's technically not lost and will be invested somehow.
Like a Carbon tax, the money doesn't disappear. But to whom it gets distributed, that's another story...
That's only about 35% more than the main telecom operator here in Belgium (Proximus: $7.2B revenue in 2025, $2.5B market cap, positive earnings for 15+ years).
Obviously Starlink can and will growth. I'm just pointing out how insane the market cap is, when compared to similar scale "connectivity" businesses.
But IIRC, in Belgium at least, these plants are also remunerated on "secondary" markets for non-productive tasks. These secondary markets are mostly for grid balancing.
I bought a 1600Wc + 1.9KWh kit (Ecoflow Stream) for +/- 1300€ last summer. It took us about 2h to install (we had to setup a new plug outside), and I already saved 200€+ since July. I am expecting to save about 350€ per year.
Also, as u/jstch said, it's extremely fun to setup and generate your own power!
A 10c€/kWh CfD is not strictly speaking a subsidy, at the government will recover the average market price.
That being said, the total cost per kWh could well reach 20c/kWh, which is ridiculous. It's not only not competitive against renewables, but also not competitive with natural gas (CCGT are probably around 10-15c€/kWh).
On some tasks like build scripts, infra and CI stuff, I am getting a significant speedup. Maybe I am 2x faster on these tasks, when measured from start to PR.
I am working on a HPC project[1] that requires more careful architectural thinking. Trying to let the LLM do the whole task most often fail, or produce low quality code (even with top models like Opus 4.5).
What works well though is "assisted" coding. I am usually writing the interface code (e.g. headers in C++) with some help from the agent, and then let the LLM do the actual implementation of these functions/methods. Then I do final adjustments. Writing a good AGENTS.md helps a lot. I might be 30% faster on these tasks.
It seems to match what I see from the PRs I am reviewing: we are getting these slightly more often than before.
Why does he need to manually do the tracing or reference counting of all these nodes?
Instead, he could just use the references he needs in the new tree, delete/override the old tree's root node, and expect the Javascript GC to discard all the nodes that are now referenced.
https://github.com/RaphaelJ/
https://datethis.app https://noisycamp.com