robeym
robeym on Hacker News
No... U.S. government ban and supply-chain blacklisting
Posted by
robeym on Thursday October 01, 2026 @02:54PM
from the status.openai.com dept.
Posted by
robeym on Thursday October 01, 2026 @10:11AM
from the paxerp.com dept.
A year ago I was trying to have these models write css for me to support mobile styles for an ERP system. There were so many quirks that you typically have with css, and it couldn't figure out how to properly get it done. I'd ask it to fix something and it'd break something else - pretty much as good as any average developer is with css.
Out of curiosity, I tried the same project yesterday with OpenAI's newest model, and it had 0 issues. It seems to have a much deeper understanding of how global styles and local styles work across different modules.
It's fun seeing how even a year ago these models seemed so capable to us, and yet they're still improving greatly. I'm still not using Anthropic. I used to change back and fourth periodically as the models would surpass each other, and get the most expensive plans, but I've settled and am happy with the capabilities of the lowest tier subscriptions now because they've progressed much faster than I've had use for them. Maybe I've gotten more efficient with language and instructing the model since a year ago. Still, it's been a fun ride and I'm excited to see what else we can do with these models as time goes on.
The easiest solution is to make an empty alias account on twitter just for the purpose of accessing links. I use an email address for this.
[email protected]. it forwards all emails to the address right to spam, it's great! No cease and desist letters from Mr. musk , yet !
I think the entire purpose of the acquisition was just to buy a chunk of the market for their own models. Curious to see if Musk responds.
Benchmarks and cost don't really help me understand how good a model actually is. Anyone have hands on experience working with the current newest models? What work did you do, and how did the model performance ?
So I'm guessing as a result of this, FAANG and similar companies are going to have free access while the little guy will be left out.
Is there any concrete information on whether this would be an application process or perhaps for companies that meet certain criteria?
I'm on 0.139.0 on Linux and my visible ~/.codex/logs are only about 129 MB.
This makes me even more conservative on upgrading these tools every time they prompt me to. Better to let them get a few miles on them and see how the community responds.
In this case it sounds like 0.142.0 reduced the issue but didn't fully settle it. I'll wait for 0.143.0+ and see if that version is more acceptable.
My opinion is that the publicity can only help Cursor. I don't necessarily think SpaceX would make Cursor better. Copilot (which I view as a direct competitor to Cursor) has a huge structural advantage. I have several friends in various American companies where Microsoft products are all they are allowed to use. They get "free" Copilot access as a part of their Microsoft plans. Developers aren't having Cursor placed right in front of them in the same way Copilot is, and from my experience, when developers have the choice to pick one, they pick Cursor. So, I just feel the SpaceX/xAI publicity could help Cursor get more visibility in these general American software companies more so than they could on their own.
Cursor was my first hands-on experience with AI. I didn't know much about getting set up with specific providers via API, and Cursor made it easy to pick any model, ask a question about some code, and get a clear suggested answer easily viewable in the IDE with an 'accept' or 'reject' button. I think they answered this question well: "How do normal developers want to interact with AI?"
I moved away from Cursor when I noticed the responses from specific models were not as clean or accurate as when I'd prompt the models directly, which was something I didn't know how to do early on. I hypothesized that they had some boilerplate prompt sitting atop of my own, causing less precise or desirable results.
I would assume Cursor is still one of the best options for normal developers to get started with AI, but with Copilot forcing their foot in the door at many companies, I wasn't sure how well it would fare on its own. Being acquired by SpaceX should help, and I'll be interested to follow along and see how things develop.
Great post. It was an amusing read, and quite the discovery! Good work, and great job documenting it.
Unfortunate to see AI police as top comment on a good amusing post!
Given how easy it was to get our own version of an AI service tool set up, I'm shocked to see a huge, capable company buying it's way into that functionality as opposed to using their large existing datasets to fine-tune an internal tool. Is 3.6B really the better option?
Posted by
robeym on Tuesday June 16, 2026 @09:32AM
from the ask-hn dept.
What tools or strategies has your company been using to get referenced by ChatGPT/AI?As a small company in a large market, I'm hoping to learn what works when it comes to being an AI reference.
Ah yes the bait and switch. Didn't take long. Win some market share from unhappy AWS customers, hike the prices later
I think it felt more polished, otherwise they wouldn't have released it. Fable took more shortcuts, lied more, had stabilizing safeguards removed, and just did what it wanted more than other models.
PAX ERP. An AI-assisted ERP for small regulated/job shop manufacturers that have outgrown QuickBooks and can't afford (or take the time) to go through a traditional ERP implementation.
PAX is the easiest ERP to pick up. Our core idea is that ERP should not take weeks of formal training and implementation. We have no formal training, no implementation fees, and are a complete ERP+CRM GAAP accounting system. It's intuitive, well-documented, AI-assisted (never steered), and people can pick it up and start using it well with no questions to our team.
Having used and watched others use Fable, it's clear to me that the standard of care for these models done by Anthropic pre-release was nothing like their previous releases. It seemed like shortcuts were taken to get it released. Maybe the models are changing faster than their team can adapt, and maybe the government responded as quickly as they did because of their relationship with Anthropic. Regardless, I think regulation was appropriate here. Anthropic can take the time to refine and improve their internal models to have a more successful release next time. It is normal for the government to restrict potentially dangerous companies if the level of care seems below what is acceptable in the US. We've seen it a lot recently with FAA grounding rocket companies. I don't feel it is cruel treatment just cause it's Anthropic
It's good to see companies thoroughly testing these models in ways that could be used against them, but this should've been something Anthropic did more of before releasing it in the first place. The standard they used for releasing Fable seems much lower than previous releases.
The skill floor for attackers has collapsed, and I think regulation against Anthropic is appropriate here - as much as I am generally against regulation!
Fable has been Anthropic's most ambitious and hopeful release. It makes me think Mythos isn't anything but Opus with certain guardrails removed. Very interesting. Hoping we'll see some quick refinements to it
It's been amusing to watch the AI trend of increasing unusual tool uses. Fable easily takes the cake. I learn a lot more terminal commands thanks to it!
Posted by
robeym on Thursday June 11, 2026 @06:23PM
from the paxerp.com dept.
Posted by
robeym on Wednesday June 10, 2026 @09:26AM
from the show-hn dept.
https://www.paxerp.com/docs
I generated 235 system documentation pages for a startup in about 8 hours using GPT-5.5 in Codex.We've been putting off the chore of writing technical docs since our team could handle all customer questions directly. However, since releasing an AI tool in the system, users have started asking it system questions as opposed to just data questions like it was designed for. It couldn't answer...
For PAX ERP. It'll be read by both humans and llms. "Paxy AI" will be the primary reader, which is the AI support tool in the system. When users ask it a question about how to do something, it'll answer based on the technical docs.
AI impacts so much. So many white collar chores just get obliterated with AI. Legal & regulatory docs, production planning, sales materials, etc. Just yesterday I used AI to generate 235 new system docs based on our codebase, and added automated .md -> html publishing so final drafts go straight to the website. This work that would've taken a contractor 1-2 weeks got done in a day, by me, someone who definitely isn't a technical writer.
When the person who knows what's needed can handle the technical execution themselves, you no longer need that second person.
I certainly wouldn't say you need "more humans"
That woodworking idea is great. It's just a hobby for me as well but after long days of desk work where moving fast is rewarded, it's great to work slowly on a wood project with my hands. I tried listing a couple things on Facebook marketplace but I had never used it before so they just removed my posts.
Fun read! This is a good story to share. I spent over a year building a complex SaaS product for a narrow market, but it was something I personally needed and was interested in. It was a second full-time job as a solo developer, but the chances are if you are interested in something and find it worthwhile, others will too. It's worth it! Great work. Fun story. Thanks for sharing
Posted by
robeym on Wednesday May 27, 2026 @08:59AM
from the githubstatus.com dept.
Pull Requests, Issues, Git Operations and API Requests