petra

My guess: The goal is EU industrial infrastructure. In that context, a somewhat more expensive cpu doesn't matter much, but if the same chip can cover more use cases, it ensures more volume and better protection against obsolescence.

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?

That's really interesting.

What have been achieved using this port?

And how did you make sure the port is correct?

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 ?

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.

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.

That's true.

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

Sure, that's bad.

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

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.

If someone is willing to settle on salary and job comfort levels, there are plenty of jobs, at least currently.

It would have happened even without them specifically. There's no shortage of greedy bastards.

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.

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

It's possible to let the chat read the QR code and help the user with it.

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.

Maybe LLM's should be integrated with the software, so they could optimize to the real hardware and workload ?

//There's a continuum between "vibe coded by someone with no technical knowledge or inclination" and "hand written domain driven design development".

Somewhere in the middle of that continuum sits - "domain driven specifications, described using high level english concepts(that are well defined) from the domain , combined with a selection of a few standard architectures"

Take this tool. Feed it a ton of biology/chemistry/engineering/psychology books.

Than ask it to seek vulnerabilities in modern technologies and systems.

Hardware restrictions aren't restrictive for criminal organizations.

But than it's possible to add the knowledge post training, either via RAG, qlora, etc.

I'm curious, how well do z.ai reverse engineers protocols ? Is it good enough that we'll see Chinese device makers creating low cost hardware clones, that connect to western software ?

Like they've outlawed drugs? Illegal weapons? Hacking?

Let's say the goal is doing something for work, so accuracy is important, and you prefer for it to be a nice reading experience, like a good translation.

As long as cloud model are somewhat better in these things, it's good that users would have the option to use cloud models.

>> Most of the bottleneck in business isn't building the things or sourcing, it's mostly advertising/sales.

That may also change with llms - they can help the buyers compare every product available, and find the best.

I'm not saying they are alive, they have consciousness, etc.

But do we really know how LLM's(and the layers above, harness, RL, etc) work, or is there some emergent, surprising phenomena in those systems?

>> however this might be the biggest fear of middle managers who will never let it happen easily

Will this be different in a company like Amazon, or the new internet companies, that we're born with a deeper understanding of disruption and has it in their DNA?

Small business might care about the cost of subscriptions if they could get high quality systems this way.

I think we'll may see something like:

1.AI design tool

And in the warehouse of a big electronics distributor: 1.something like 3D printing that can make a single board rapidly 2.An automated assembly for a single board 3.AI based Automated testing for prototypes, with remote access.

This may reduce the loop to under a day.

It's probably for the better over the long term, I Agree. We might be getting into complicated times, with AI and robotics, so it's much better if Europe would be more self-sufficient, militarily, technologicaly and economicaly.