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Do people really want codex to have control over their computer and apps?

I'm still paranoid about keeping things securely sandboxed.


Programmers mostly don't. Ordinary people see figuring out how to use the computer as a hindrance rather than empowering, they want Star Trek. They want "computer, plan my next vacation to XYZ for me" to lay out a full itinerary and offer to buy the tickets and make the reservations.

Knowledge work is work most people don't really want to deal with. Ordinary people don't put much value into ideas regardless of their level of refinement


I have been a programmer for 30 years and have loved every minute of it. I love figuring out how to get my computers to do what I want.

I also want Star Trek, though. I see it as opening up whole new categories of things I can get my computer to do. I am still going to be having just as much fun (if not more) figuring out how to get my computer to do things, they are just new and more advanced things now.


I'm on the same page, personally, but what I was trying to emphasize with my previous comment is that the non-tech people only want Star Trek

Well thats good then, it means that they'll always need the likes of Scotty, LaForge, Torres and O'Brien ;)

I was talking about this "plan a trip" example somewhere else, and I don't think we're prepared for the amount of scams and fleecing that will sit between "computer, make my trip so" and what it comes back with.

> They want "computer, plan my next vacation to XYZ for me" to lay out a full itinerary and offer to buy the tickets and make the reservations.

Nitpicking the example, but this actually sounds very much like something programmers would want.

Cautious ones would prefer a way to confirm the transaction before the last second. But IMO that goes for anyone, not just programmers.

Also I get the feeling the interest in "computers" is 50/50 for developers. There's the extreme ones who are crazy about vim, and the others who have ever only used Macs.


I did a friends trip where it was planned by ChatGPT recently. It was so bad, also it couldn't figure out japanese railroads.

> Ordinary people don't put much value into ideas regardless of their level of refinement

This seems true to me, though I'm not sure how it connects here?


Not the parent.

People want to do stuff, and they want to get it done fast and in a pretty straightforward manner. They don’t want to follow complicated steps (especially with conditional) and they don’t want to relearn how to do it (because the vendor changes the interface).

So the only thing they want is a very simple interface (best if it’s a single button or a knob), and then for the expected result to happen. Whatever exists in the middle doesn’t matter as long as the job is done.

So an interface to the above may be a form with the start and end date, a location, and a plan button. Then all the activities are show where the user selects the one he wants and clicks a final Buy button. Then a confirmation message is displayed.

Anything other than that or that obscure what is happening (ads, network error, agents malfunctioning,…) is an hindrance and falls under the general “this product does not work”.


assuming that developers aren't Ordinary people...

Ordinary people absolutely hate AI and AI products. There is a reason why all these LLM providers are absolutely failing at capturing consumers. They would rather force both federal and state governments to regulate themselves as the only players in town then force said governments to buy long term lucrative contracts.

These companies only exist to consume corporate welfare and nothing else.

Everyone hates this garbage, it's across the political spectrum. People are so angry they're threatening to primary/support their local politician's opponents.


giving these things control over your actual computer is a nightmare waiting to happen – i think its irresponsible to encourage it. there ought to be a good real sandbox sitting between this thing and your data.

Hard agree. I'm on vacation in Mexico atm and when I get back I get to repair my OS because I gave codex full control over my system before I left. Was rushing trying to reorganize my project files to get up to the GitHub before I left. Instead it deleted my OS user profile and bonked my system.

There are people running OpenClaw, so yeah, crazy as it sounds, some do that.

I'm reluctant to run any model without at least a docker.


I run them all on an old Pentium J (Atom) NUC with 8GB RAM, so I don't even care. Some Chinese N100 mini PC for $100 is all one needs.

Using local models or external?

If external, aren't they pricey? How much tokens they generate?

If local, what runs on such hardware that gives reasonable results?


Local models on different machines with multiple RTX Pro 6000 or multiple DGX Sparks or a 512GB RAM Macstudio; the agents themselves run on that Pentium J NUC and just use exposed endpoints for local models. Forgejo for Git runs on another server. Therefore I don't really care if that NUC goes kaboom and can test everything quickly (OpenClaw, Hermes, Claude Code, Codex, OpenCode, Pi etc.). Or I can just use OpenRouter API key and access 10-100x cheaper models than Opus.

I want it yes. I already feel like Im the one doing the dumb work for the AI of manually clicking windows and typing in a command here or there it cant do.

Ive also been getting increasingly annoyed with how tedious it is to do the same repetitive actions for simple tasks.


I don’t think clicking buttons on a Mac is a particularly scary barrier. It’s not anymore scary then running an LLM in agent mode with a very large number of auto-approve programs and walking away for 15 minutes.

It repaired an astonishing messed up permission issue on my mac

I did some work on an agent that was supposed to demonstrate a learning pipeline. I figured having it fix broken linux servers with some contrived failures would make for a good example if it getting stuck, having to get some assistance to progress, and then having a better capability for handling that class of failure in the future.

I couldn't come up with a single failure mode the agent with a gpt5.x model behind it couldn't one shot. I created socket overruns.. dangling file descriptors.. badly configured systemd units.. busted route tables.. "failed" volume mounts..

Had to start creating failures of internal services the models couldn't have been trained on and it was still hard to have scenarios it couldn't one shot.


I don’t think people want that, but they are willing to accept that in order to get stuff done.

can't test pygame otherwise :D

I don't know anything about this particular site, but I presume it's one of the new mega gpu sites.

I'm seeing many people in the comments with an early 2000's era concept of datacenters. The scale of these new sites is mind boggling. Take your idea of a typical datacenter building. Make it 4x bigger. Then put 4 of them together into a cluster. Then imagine 10 of those clusters at the site.


None of that is new whatsoever. AWS has been doing that for 15 years at this point. The cloud didn't start existing just because of AI.

Appreciate you making my point for me.

There's going to be continued support from local electricians, low voltage wiring vendors, various facilities service companies, HVAC, and now plumbers.. lots of plumbers. So many leaks. A site like this is going to have probably a few hundred full time people on site all the time in addition to the contracted folks.

A DC does not have a few hundred full time people on site 24/7, it's going to be less than a dozen. It takes much, much less people to run a data center than people think.

A dozen people couldn't handle the number of daily nvidia compute tray RMAs one of these datacenters produces.

oh there is shipping & handling or just handling? :)

Well they're liquid cooled, so there's some extra handling required. Then there's the sky high failure rate.

Local shops will absolutely be contracted to work on the project. A datacenter project like this can't find enough qualified electricians.

I would imagine there aren't too many electricians in Yeehaw, Minnesota, trained and qualified to do gigawatt data center installs. So they'll freight in contractors to do that work, and maybe temporarily employ a few locals for a month or two for auxiliary stuff.

More generally, this is the universal playbook when someone wants to dump some megaproject on a community that doesn't want it: This will create X jobs and inject $Y into the local economy. Can you name one case where this actually happened? It's usually very few additional permanent jobs and, particularly for public-works stuff, millions or even billions in extra debt to pay off. But don't worry, this next thing we're working on once we get the local council to issue a permit to bulldoze your forest park, that will bring in jobs, we promise.


Many jobs during construction. A site like this is a substantial multi-year construction effort.

Long term permanent jobs.. not so much.


A few dozen jobs in a town of 12,000 is nothing to sneeze at.

There's no zfs grenade. It's CDDL, feel free to use it wherever you want. Oracle can't come after you for violating the gpl even if somehow using zfs on linux violates the gpl.


Everything I have read is that the cddl is not compatible with binary deployments of zfs on linux so actually wouldnt that mean yes they could press that if you bundled it with gpl? Actual lawyers have said yes it could which is what I am refering to, however I think the actual answer is that Oracle has created a latch by inaction on this subject for so long now.


CDDL is more permissive than gpl. It's not a violation of cddl to intermingle with code under a different license. GPL is the issue and it's the individual contributors to linux that _could_ sue.


I'm not a lawyer. I don't k is what Oracle's lawyers can and can't do. Even if I'm legally in the right, Oracle's lawyers could break me if they wanted. I can't know if there is a ZFS grenade, and neither can you. But we can choose to not deal with Oracle.


At that point, if they wanted to, they could sue mort96 for saying something bad about Oracle. It's unlikely they'll do that and perhaps a bit less unlikely they'll sue over ZFS.

Most of their legal shenanigans appear to be restricted to companies that already license some software from them.


We have pretty good laws and systems protecting our right to say something bad about companies. I trust that to protect me.

We have less good laws and systems protecting our right to use software in ways which Oracle considers breach of license.


They can sue for a variety of reasons from trade secret to trademark.

It doesn't mean they'll win anything in court but they'll ruin you long before they notice the spend.


Recent freecad is pretty decent. My main complaint these days is the performance of the geometry engine.


AWS loop a long while back wanted me to design a playlist system so my dumbass brain snapped to m3u files or w/e people were using back then and designed a system to host/share playlist files. The teenager (ok probably in their 20s) interviewing me seemed more and more confused as we went on but he never tried to redirect me to what he really intended.


What are your discovery mechanisms? I don't know what exists for automatic peer management with wg. If you're doing bgp evpn for vxlan endpoint discovery then I'd think WG over vxlan would be the easier to manage option.


If you actually want to use vxlan ids to isolate l2 domains, like if you want multiple hypervisors separated by public networks to run groups of VMs on distinct l2 domains, then vxlan over WG seems like the way to go.


> This leads to authors having to re-explain their thinking in detail, covering points that they’d omitted for brevity or because they are obvious to those with a good understanding of the problem.

There's nothing wrong with this. Being able to explain your thinking in detail to someone that doesn't necessarily understand the problem is a pretty good exercise to make sure you yourself fully understand the problem _and your thinking._ Of course, this can't turn in to a lecture on basic things people should know or have looked up before commenting.


Sure, now imagine answering 10 different people to all of their questions? It's the largest hindrance I have ever seen but I agree with the above comment that it largely depends on the team.


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