manuelabeledo

We need a synonym for “fascist” because some people agree that what they do and how they do it is bad, but they are incapable of looking past the word.

How so? This "tech savvy and not 100% gullible" generation, gave birth to a political landscape dominated by online ragebait.

> By making these fake images ubiquitous we are forcing people to quickly learn that they can't believe what they see on the internet and tracking down sources and deciding who you trust is critically important.

Has this thought process ever worked in real life? I know plenty of seniors who still believe everything that comes out of Facebook, be AI or not, and before that it was the TV, radio, newspapers, etc.

Most people choose to believe, which is why they have a hard time confronting facts.

> Gambia has 70% of service economy. Do you want USA live like Gambia ?

What are you even talking about.

Iraq economy is almost 60% industrial, are they doing better than Ireland? Of course not.

Also, the US is the second largest country by motor vehicle production in the world. And the US GDP is 80% service derived.

I've been seeing this for years, and most of the time they are either lies or, at best, half truths.

> You can’t be a successful country full of lawyers and doctors only. You have to actually build something

The GDP sector composition of most of the largest economies is heavily service biased. So, no.

> writing specs in structured English of sufficient clarity

What does "sufficient clarity" mean? And is it english expressive enough and free of ambiguities? And who is going to review this process, another LLM, with the same biases and shortcomings?

I code for a living, and so far I'm OK with using LLMs to aid in my day to day job. But I wouldn't trust any LLM to produce code of sufficient quality that I would be comfortable deploying it in production without human review and supervision. And most definitely wouldn't task a LLM to just go and rewrite large parts of a product because of a change of specs.

> Having AI in the mix could potentially fix the problem(partially).

Any examples?

As far as I understand, claims in the current AI cycle are wildly exaggerated, and sometimes companies rely on sort of circular deals to make revenue appear higher than it actually is, e.g. OpenAI and Microsoft or Nvidia. Wouldn't that mean that AI companies are primed to oversell and underdeliver, effectively making the problem even worse?

If you take the claims at face value, then the process was 100% fair and xAI provides the best models and guardrails for processing top secret data at a lower cost, compared to the competition. Personally, I find this unlikely.

We also know that Musk has been cozy with the current administration, and spearheaded the very same “efficiency” campaign at show here.

I think it would be naive to blindly believe Musk and the DOD claims and ignore their common history.

On your first question, it is impossible to unlink it from Twitter, since Musk being feverishly active there, and then buying the platform, was the catalyst for a new wave of right wing support for him and his industries.

It is also estimated that it has lost 80% of its valuation and has ~$9 billion of negative equity.

Unless the specification is also free of bugs and side effects, there is no guarantee that a rewrite would have fewer bugs.

Plenty of rewrites out there prove that point.

I’m just trying to understand exactly what led you to make that decision.

I don’t follow tabloid style news around software projects, maybe I’m missing on something.

I’m having a hard time trying to understand exactly what you want to do, that cannot be done with SQL. Any concrete examples?

I personally rely on views to reuse base queries and then add filters on top of them.

Can you give any examples of the type of politics that ruined XOrg or Linux?