samuel

Sorry, but this deficit it's pretty unique to Spain. There is no country in Europe with this level of immigration.

According to your argument, the answer to when to build is a good moment to build is "never". I can't agree, and there are counter examples too. The mass rural to urban migration happened less than 60 years ago, and the answer wasn't "do nothing".

People from functional countries may not understand why a government of a parliamentary system can't pass legislation.

Not Italians, though.

Spain receives 500k immigrants/year and builds 90k homes/year.

I understand everyone has an opinion about housing prices, but your intuitions may not be well adjusted to Spain's circumstances.

This article does an abysmal job of describing the situation, but I hope a skeptical reader will realize that something is very odd when they notice that these protests are directed against the opposition and not against the government.

Do you realize people is using LLM's as classifiers, right? For lots of companies and developers reaching an API is feasible, while running a training pipeline, no matter how simple, is not. I know that they should still be gathering data for evaluation and they could use it to train a model instead. But they won't do it, for a variety of reasons.

This is the same route but WAAAY faster and cheaper. And you can modify it like you do with code or prompts. It's really appealing, TBH.

I have this idea of using an obliterated version of this model for cyber work(or even this one, seeing that its guardrails aren't that strong) in a harness with the ability to spawn SOTA level subagents, faster and more capable.

The rationale is that the manager model sees the big picture and knows that the task is "unethical" while sota models are just given very isolated technical tasks that don't trigger any refusals.

Has anyone tried this? I would love to know about previous attempts of this approach.

The first "Morris worm" of the AI isn't far away, IMO. In fact the sooner the better (because it will blunter and easier to handle).

I don't think it's the case, but it would be very funny that this would end being AI generated clickbait.

You can connect it to any anthropic compatible endpoint(kimi allows this) but it's a weird choice, given that Open code, pi.dev and others are open source.

Chat is certainly an option, but the real deal are agents, which have access to way more sensitive information.

Very timely, the final report has been released today.

I hadn't read the document you referenced, and I admit don't have the prior knowledge, nor the time, to fully understand all the implications of what it says. My opinion is then the result of reading and listening a variety of experts and news sources, and it will have some biases, for sure.

Still, I have skimmed the final report to see if there was something that I could understand from first hand (and to support my original point, not gonna lie), and I found this:

_The increasing penetration of variable renewable and distributed generation, further market integration, broader electrification, and evolving environmental and geopolitical risks place the European electricity system under increasingly challenging operational conditions, requiring higher levels of resilience._

Do you really think that my original point (as uniformed as it might be), namely, that the levels renewable energy currently present in the spanish grid require significative investments, was wrong?

I assume that -p is the same that "codex exec".

The difference is that in this case the agent loop is executed, which has all the caching and behaviour guarantees. What I assume OpenClaw is doing is calling the endpoint directly while retaining its own "agent logic" so it doesn't follow whatever conventions is the backend expecting.

How important is that difference, I can't say, but aside the cost factor I assume Google doesn't want to subsidize agents that aren't theirs and in some way "the competition".