If you can not restore data from EU based Amazon Datacenters because it’s destroyed … you will definitely have better things to do like packing your go bag or buying the last groceries for a while.
1,470 karma · joined July 17, 2016
Just dreaming.
If someone cannot meet that bar, they have no business publishing research papers. I have written academic papers myself, and I find it astonishing that people are trying to justify this as if it were some understandable workflow mistake. At that point it is simply slop with academic formatting. Post it on a blog or somewhere else, but do not put it into the scientific record.
A one-year ban is not a lifetime ban. Maybe six months would also have been enough, but the author can use that time to think about whether they should verify references next time — and to manually check every other citation.
Deadlines are not an excuse here. Checking whether a cited book, paper, or passage exists is the absolute minimum standard for scientific work, not an optional extra. I have written academic papers myself, and I find it astonishing that people are trying to justify this as if it were some understandable workflow mistake. At that point it is simply slop with academic formatting.
A one-year ban is not a lifetime ban. Maybe six months would also have been enough, but the point is that the author gets time to think about whether they should verify references next time. They can also use that time to manually check every other citation.
Where I worry is beginners. The hard-won intuition for "this is a reasonable approach" vs. "this will bite you in six months" takes years to develop. With experience, you steer the agent. Without it, the agent steers you -- and it steers confidently in every direction, good and bad alike.
Honestly, Anthropic really dropped the ball here. They could have had such an easy integration and gained invaluable research data on how people actually want to use AI — testing workflows, real-world use cases, etc. Instead, OpenAI swoops in and gets all of that. Massive missed opportunity.
Great work.
You are now banned where ever I work.
You run out of context so quickly and if you don’t have some kind of persistent guidance things go south
Our mainstream news outlets are openly calling the "official" versions from the Trump administration what they are – lies. The video evidence is clear to anyone watching: this was murder. No amount of spin changes what the footage shows.
As citizens of a country that knows firsthand how fascism begins, we recognize the patterns: the brazen lying in the face of obvious evidence, the dehumanization, the paramilitarized enforcement without accountability. We've seen this playbook before.
What Americans might not fully grasp is how catastrophically the US has damaged its standing abroad. The sentiment here has shifted from "trusted ally" to "unreliable partner we need to become independent from as quickly as possible." The only thing most Europeans still find relevant about the US at this point is Wall Street.
The fact that the FBI is investigating citizens documenting government violence rather than the government agents committing violence tells you everything about where this is heading.
Case in point: fax machines are still an important part of business communication in Germany, and many IT projects are genuinely amateurish garbage — because the underlying mindset is "everything should stay exactly as it is."
This is particularly visible in the 45+ generation. It mostly doesn't apply to programmers, since they tend to find new things interesting. But in the rest of society, the effects are painful to watch: if nothing changes, nothing improves.
And then there's mobile infrastructure. It's not even a technical problem — it's purely political. The networks simply don't get expanded. It's honestly embarrassing how far behind Germany is compared to the rest of Europe.
I work primarily in Python and maintain extensive coding conventions there - patterns allowed/forbidden, preferred libs, error handling, etc. Custom slash commands like `/use-recommended-python` (loads my curated libs: pendulum over datetime, httpx over requests) and `/find-reinvented-the-wheel` to catch when Claude ignored existing utilities.
My use case: multiple smaller Python projects (similar to steipete's workflow https://github.com/steipete), so cross-project consistency matters more than single-codebase context.
Yes, ~15k tokens for CLAUDE.md + rules. I sacrifice context for consistency. Worth it.
Also baked in my dev philosophy: Carmack-style - make it work first, then fast. Otherwise Claude over-optimizes prematurely.
These memory abstractions are too complicated for me and too inconsistent in practice. I'd rather maintain a living document I control and constantly refine.
The last section of the blogpost.
These numbers are just random bullsh*t numbers.
And what problems do orbital datacenters solve? They still need uplink, so not libertarian we can do what we want, you have no jurisdiction here thing.
This is just a sci-fi idea that is theoretically possible and is riding the ai bubble for users and investors that don’t know better.