7,717 karma · joined February 23, 2013
Almost everyone who complains has some parser or rendering related agenda. No one cares if you can't nest asterisks inside underscores. Most of these edge cases don't read well as Markdown, which defeats the purpose.
The NPR article also quotes people on the ground who have managed to get messages out.
However, no one has guns, and government-backed militias roam the streets to maintain order.[1] There is no possibility of military coup. Many officers lives and livelihoods are at stake post-revolution, and they will go to great lengths to protect it. Remember, they killed 30K of their own to quell an uprising.[2] Surveillance is everywhere online and in person.[3] One spy in ten can ruin a revolutionary group. To make things worse, there is no unification around a leader or what should come next.
If anything, this war demonstrates the tyranny and tentacles of the modern state. The well seems forever poisoned once power is lost to despots.
[0]: https://gamaan.org/2025/08/20/analytical-report-on-iranians-...
[1]: https://www.npr.org/2026/03/19/g-s1-114144/iran-voices-war
[2]: https://www.theguardian.com/global-development/2026/jan/27/i...
[3]: https://www.pbs.org/newshour/world/iran-built-a-vast-camera-...
For example, you could run VS Code on that machine as a window on your Mac. A more real world example is people accessing guis (e.g. matlab) on lab clusters.
The closest set up for x11 would be to use x11 forwarding with xpra.
In this case, I'd say helpful because I didn't have to read the article at all to understand what was being communicated.
If all 50 states sue at the same rate, that'll be a 30% dent, and I'm sure states can sue for more than 0.6% too. That would be historic action against malfeasance and would send a strong FAFO single to all corporates.
Let's lobby for it.
Also using PyPI as a benchmark is incredibly myopic. Github's 2025 Octoverse[0] is more informative. In that report, you can see a clear inflection point in total users[1] and total open source contributions[2].
The report also notes:
> In 2025, 81.5% of contributions happened in private repositories, while 63% of all repositories were public
[0]: https://github.blog/news-insights/octoverse/octoverse-a-new-...
[1]: https://github.blog/wp-content/uploads/2025/10/octoverse-202...
[2]: https://github.blog/wp-content/uploads/2025/10/octoverse-202...
[0]: https://www.buckycountry.com/2025/09/22/runway-close-calls-u...
I studied stats at Duke which is a Bayesian academy. Almost every problems come from regimes with small sample sizes. Given that Duke houses the largest academic clinical research organization globally, having a stats and biostats department with this bent is useful: samples are tiny in clinical trials compared to most big data settings.
The biggest problem with the whole Bayesian regime IMO is that as the data gets larger its selling point vanishes. If your data is big or is normal (mean-based statistics), a frequentest/bootstrapped CI approximates the Bayesian CI anyway.
Furthermore, many us work in settings where we're trying to sell toothpaste: we don't need the Bayesian guarantees that an insurer might.
And by open I mean open weights AND open training pipelines.
Native devs: what are your go to quality of live improvements?
Problem #1: He decided to shoehorn two projects into 1 even though Claude told him not to.
Problem #2: Claude started creating a bunch of unnecessary resources because another archive was unpacked. Instead of investigating this despite his "terror" the author let Claude continue and did not investigate.
Problem #3: He approved "terraform destroy" which obviously nukes the DB! It's clear he didn't understand, and he didn't even have a backup!
> That looked logical: if Terraform created the resources, Terraform should remove them. So I didn’t stop the agent from running terraform destroy
That said the core argument for MCP servers is providing an LLM a guard-railed API around some enterprise service. A gmail integration is a great example. Without MCP, you need a VM as scratch space, some way to refresh OAuth, and some way to prevent your LLM from doing insane things like deleting half of your emails. An MCP server built by trusted providers solves all of these problems.
But that's not what happened.
Developers and Anthropic got coked up about the whole thing and extended the concept to nuts and bolts. I always found the example servers useless and hilarious.[0] Unbelievably, they're still maintained.
[0]: https://github.com/modelcontextprotocol/servers/tree/main/sr...
Editing a one shot on the otherhand reminds me of trying to mod a Wordpress plugin.
Right now:
- You can't interrupt Claude (you press stop and he keeps going!)
- At best it stops but just keeps spinning
- The UI disconnects intermittently
- It disconnects if you switch to other parts of Claude
- It can get stuck in plan mode
- Introspection is poor
- You see XML in the output instead of things like buttons
- One session at a time
- Sessions at times don't load
- Everytime you navigate away from Code you need to wait for your session to reappear
I'm sure I'm missing a few things.
Aside from the privacy concerns, all this age verification tech seems incredibly complicated and expensive.
OpenClaw is mostly a shell around this (ha!), and I've always been annoyed OpenClaw never credited those repos openly.
The pi agent repos are a joy to read, are 1/100th the size of OpenClaw, and have 95% of the functionality.