masterj

Cloudflare has Outbound Workers for exactly this use-case: https://developers.cloudflare.com/cloudflare-for-platforms/w...

If these aren't enabled for containers / sandboxes yet, I bet they will be soon

> I bet you could get very very far on a single box,

With single instances topping out at 20+ TBs of RAM and hundreds of cores, I think this is likely very under-explored as an option

Even more if you combine this with cell-based architecture, splitting on users / tenants instead of splitting the service itself.

> So-called standards now are just the monopolists coming to agreement among themselves.

That's... largely what standards are?? And they are really beneficial??

Yes, many such cases

From the article: “Huge machine - 8 CPUs, 16 GB of memory”

That’s barely more than a raspberry pi? (4 vs 8 cores) Huge machines today have 20+ TBs of RAM and hundreds of cores. Even top-end consumer machines can have 512GB of RAM!

I do agree with the author that single machines can scale far beyond what most orgs / companies need, but I think they may be underestimating how far that goes by orders-of-magnitude

> LLM"s amy not be able to build software today, but they are 10x better than where they were in 2022 when we first started using chatgpt. Its pretty reasonable to assume in 5 years they will be able to do these types of development tasks.

We can expect them to be better in 5 years, but your last assertion doesn't follow. We can't assert with any certainty that they will be able to specifically solve the problems laid out in the article. It might just not be a thing LLMs are good at, and we'll need new breakthroughs that may or may not appear.

Why even stop at 100k/yr? Surely the graph is up-and-to-the-right forever? https://xkcd.com/605/

> Unless I'm misunderstanding their store page, Framework charges $687 CAD ($500 USD) to go from 16GB → 32 GB RAM.

That doesn't seem accurate for any of their computers? There is a pretty big leap from 32GB -> 64GB for the Desktop, but that is also a different processor.

Apple charges an increased premium as you get further away from the base models. It’s really hard to find a better deal that the M4 base models

Yeah, modern heat pump dryers are just nice and have cycle times more in line with North American expectations, but you’re right that alternatives have been around a long time!

I love heat pumps, but the author should have had an energy audit done first. Likely a thermal camera on a cold day would quickly identify their envelope issues.

> one from the clothes dryer (when I hold an incense stick up to it I can see it pulling in air even when it’s not running)

A normal vented clothes dryer can vent something like 8000 cu ft of air in a normal drying cycle (i.e. all of the air in their apartment). If that's running all the time somehow, that could definitely explain a lot. If that's the case they should fix it, and maybe explore ventless heatpump dryers.

Yes: https://caniuse.com/mdn-api_navigator_mediasession

Try using Spotify's mobile web app for an example. Works great.

JS is inherently single-threaded and mobile cores aren't really getting faster, but we are getting more of them. Allowing you to express more in CSS means you get faster-loading, more highly-performant, less energy-draining web UIs.

The example use-cases in the videos are pretty compelling and much smaller scope.

“Here’s an error reported to the oncall. Give a try fixing it” (Could be useful even if it fails)

Refactor this small piece I noticed while doing something else. Small-scoped stuff that likely wouldn’t get done otherwise.

I wouldn’t ask LLMs for full-features in a real codebase but these examples seem within the scope of what they might be able to accomplish end-to-end

Consider that that is what most people tell past co-workers who they don't want to refer

You likely need blunt feedback from someone you can trust in the industry

I have seen people in similar circumstances that have enormous personal blind spots for issues that show up in interviews and with past colleagues. It's much easier to blame AI rather than admit or address those. If you have 20 years of experience and no one wants to work with you again, that is telling.

Ah, my understanding was that this discussion is about AI as dev-time tool, where the output is code, which gets reviewed : merged / deployed like any other bit of code whether written internally or installed via a library.

Using LLMs or other ML as components in systems themselves is a whole other thing, and I agree with you wholeheartedly.

I think all of those are great, but don't think that has much to do with AI tbh. How you get to the outcome, and the standards that it meets, should be all that matters

I'm not really sure what problem you're trying to point out here. There are legal standards and liability for engineering, and if someone violates them using an LLM they are held just as liable as they would be had they done the work themselves.

But the same is true for code? You are held to the same standards as if you had written it yourself, whatever that may be. Frequently that is nothing.

What change do you want to see here?

> I was simply asking you to put a finer framework on how individuals should decide

I'm not in the business of prescribing philosophies on how others should live their lives?

I said it’s up to the individual to make their own choices. I don’t know who or what you’re arguing against, but I don’t think I have much to do with it. Peace

> how do you know when you are robbing yourself and when you are just being pragmatic?

I don't know why we're pretending that individuals have suddenly lost all agency and self-perception? It's pretty clear when you understand something or don't, and it's always been a choice of whether you dive deeper or copy some existing thing that you don't understand.

We know that if we cheat on our math homework, or copy from our friend, or copy something online, that's going to bite us. LLMs make getting an answer easier, but we've always had this option.

Calculators have been available forever, but have not eliminated math education. Even algebra systems that can solve equations, do integrals and derivations have been available forever, but people understand that if they don't learn how it actually works they are robbing themselves. By the same token, if you need to do this stuff professionally, you are relying on computers to do it for you.

> Write a binary tree in C? Check. Implement radix sort in Python? check. An A* implementation? check.

You can look up any of these and find dozens of implementations to crib from if that's what you want.

Computers can now do more, but I'm not (yet) sure it's all that different.

MCP has a remote protocol. You don't need to install anything to add an MCP server, or rather, you won't once client support catches up to the spec. It will be a single click in whatever chat interface you use.

I in no way think you are responding in good faith, but the relevant bit to this discussion is the very public killing of the CHIPS Act: https://www.politico.com/live-updates/2025/03/04/trump-joint...

Strong "This War Will Destabilize The Entire Mideast Region And Set Off A Global Shockwave Of Anti-Americanism vs. No It Won’t" vibes with this comment https://theonion.com/this-war-will-destabilize-the-entire-mi...

This is likely implemented behind the scenes as an MCP server exposed to their model in the web UI. It is likely that they will enable MCP servers over HTTP+SSEs (vs the stdin/stdout used with Claude desktop) on the web version in the near future.

Land is fixed, but land-per-dwelling is not if you build more densely

Modern heatpump-based combo washer-dryers have come a long way and are great for this use-case: https://www.geappliances.com/ge/connected-appliances/ultrafa...

> Single interview, we ask the candidate about *his* CV and what *his* expectations are, what are *his* competences and we ask *him* to show us some code *he* has written

You... might want to think about what implicit biases you might be bringing here