Recent submissions

Comment · 1 day ago
That's a good point.

I wonder whether AI is any good at looking at that code,running the system, and documenting those edge cases?

Comment · 1 day ago
That's really interesting.

What have been achieved using this port?

And how did you make sure the port is correct?

Comment · 1 day ago
Given that a Cisco switch can be replaced with some other company's switch(at least in theory, idk), without weird unknown cases interfering, why would this be a problem ?
Comment · 1 day ago
I think Cisco is an interesting use case for AI, because it's code, probably:

-Works according to a defined specification

-Within the bounds of that specification, has a lot of code written to optimize speed, cost, latency, etc - all measureable goals

-Written in c, with all it's weakness

-Given limitless engineering work, some could be ported to better hardware

-the new system could be automatically compared to the old system for functional correctness

All those factors fit well with agent based development.

Btw, many of them are true in general to embedded systems.

Comment · 6 days ago
Finding hard to find bugs. LLM's have strong capability for this in the area of security. This is also true for math(finding counterexamples), and probably other areas with strong verification.

Also, those AutoResearch agents for other types of verifiable goals.

Comment · 18 days ago
That's true.

I've noticed that chatgpt is working harder. But still I prefer Claude, it just feels nicer to me.

Comment · 19 days ago
Sure, that's bad.

But that's true for anybody that need to start as a beginner in a new industry.

Comment · 19 days ago
If the aim of each country is just job creation, leaving aside "comparative advantage", job quality, salary, etc:

1. There are plenty of things being outsourced, They can be done locally.

2. There are plenty of things currently not being done by locals - like elderly care.

3. We can find new things to do.

4. We can work less.

And even if those things raise living standard somewhat, the efficiencies from AI/robots should be more than enough to compensate.

But, in a capitalistic globalized economy this isn't how things work. So we'll see some shift from that. And it will work better in countries with a more democratic socialistic leaning rather than capitalistic.

We're already starting to see that, with the recent EU trade deal with china, limiting the amount of cars china can send to Europe.

Comment · 19 days ago
If someone is willing to settle on salary and job comfort levels, there are plenty of jobs, at least currently.
Comment · 19 days ago
It would have happened even without them specifically. There's no shortage of greedy bastards.
Comment · 25 days ago
Trucking is a low-margin, high capex business.

There are some niches where it isn't true, when you have some other moat(like a warehouse network, or customer density in a route) so owning trucks strengthens that moat.

But in general, It's a bad business to own trucks.

Comment · 28 days ago
Sure,nobody cares.

But if my phone automatically tells me about stuff in my fridge :

-The cheese has expired or about to be expired

-There's a recall on that baby formula

That's useful.

Or if uses those smart carts at the supermarket, it can tell me:

-this isn't safe with my peanut allergy

-this isn't ethically sourced

-the expiry date is too short

Comment · 28 days ago
It's possible to let the chat read the QR code and help the user with it.
Comment · 1 month ago
Chips design is expensive. Partly because of engineering costs, partly because of manufacturing costs.

If costs go down enough,because of LLM's and possible manufacturing innovations, more chips will be designed, so maybe this will partially offset job loses.

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