redrove

I’m genuinely interested in what you find to be the problem with that?

It’s a landing page.

curl | bash and pentesting go well together

I’m immediately suspicious of cheap chinese crap like this.

$35 for a projector should cause you to raise at least one eyebrow.

Also, as always with “IoT” type devices, they’re best kept in an isolated VLAN with no internet access.

What coding plans are you using that let you use those models specifically and not pay per token? Which provider?

So this is basically vCluster[0] but Rancher branded?

[0] https://github.com/loft-sh/vcluster

cool!

Nothing, but he got to plug his vibe coded startup that he advertises in the about section.

It’s 128b dense model. Good luck getting more than 3t/s out of a mac. It doesn’t matter if it fits or not.

Yes I'm on ChatGPT Pro (OAuth) and I'm trying to use gpt-5.5-xhigh.

That was the issue, 5.4 works just fine.

Support for service: priority (GPT /fast mode) would also be cool!

I keep trying to use dirac-cli with codex and it won't work: Error: Codex API error: Codex API request failed: 400.

Any ideas?

So an Obsidian plugin? Got it.

This is very well put. Thanks for the comment.

It seems to be 160GB at mixed FP4+FP8 precision, FYI. Full FP8 is 250GB+. (B)F16 at around double I would assume.

Gift link: https://economist.com/finance-and-economics/2026/04/21/globa...

I underscored using xhigh + fast mode when saying it’s so much better.

Now with Opus 4.7 of course the “burden” of adjusting reasoning effort has been taken away from you even at the API level.

In my experience people don’t change the thinking level at all.

I’ve been using Codex Pro since they lobotomized Opus 4.6. Codex is so much better, GPT 5.4 xhigh fast is definitely the smartest and fastest model available.

For a while there I had both Opus 4.6 and Codex access and I frequently pitted them against each other, I never once saw Opus come out ahead. Opus was good as a reviewer though, but as an implementer it just felt lazy compared to 5.4 xhigh.

One feature that I haven’t seen discussed that much is how codex has auto-review on tool runs. No longer are you a slave to all or nothing confirmations or endless bugging, it’s such a bad pattern.

Even in a week of heavy duty work and personal use I still haven’t been able to exhaust the usage on the $200 plan.

I’ll probably change my mind when (not IF) OpenAI rug pull, but for spring ‘26, codex is definitely the better deal.

Yes. You could also look at the README.md.

There is virtually no reason to use Ollama over LM Studio or the myriad of other alternatives.

Ollama is slower and they started out as a shameless llama.cpp ripoff without giving credit and now they “ported” it to Go which means they’re just vibe code translating llama.cpp, bugs included.

Not necessarily; I would very much like to use those features on a Linux server. Currently the Anthropic implementation forces a desktop (or worse, a laptop) to be turned on instead of working headless as far as I understand it.

I’ll give clappie a go, love the theme for the landing page!

I disagree. I think a sharp drop in memory requirements of at least an order of magnitude will cause demand to adjust accordingly.

I just deployed it to test it out and this is FALSE. I was able to create Virtual Keys on the free version with no issues.

Please do a double take on the facts, you might falsely deter people.

> Rent a VPS in another country and set up your own personal VPN server on it, and no one will be able to block you.

(machine translation)

How would this ever work with a whitelist? did you even read the post?

How did PYPI_PUBLISH lead to a full GH account takeover?

>I am unable to understand how it compromised your account itself from the exploit at trivvy being used in CI/CD as well.

Token in CI could've been way too broad.

>1. Looks like this originated from the trivvy used in our ci/cd

Were you not aware of this in the short time frame that it happened in? How come credentials were not rotated to mitigate the trivy compromise?

Bifrost is the only real alternative I'm aware of https://github.com/maximhq/bifrost

First line of defense is the git host and artifact host scrape the malware clean (in this case GitHub and Pypi).

Domains might get added to a list for things like 1.1.1.2 but as you can imagine that has much smaller coverage, not everyone uses something like this in their DNS infra.

There’s a NixOS MCP, it’s pretty good

Not to mention the non-idempotent python + bash + ssh hell of Ansible, or awful DSLs such as Salt, Puppet, Chef, etc.