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Comment Re:"Screens" are not the problem (Score 2) 28

Alcohol is a flawed comparison. The only positive use alcohol has is as entertainment and even that is problematic. With a "screen", you may be reading a book, learning some things or doom-scrolling.

The main problem is IMO that some content is designed to be addictive. Most social media is trying to be. LLMs are dramatically so. But other stuff is not.

Comment Re:Just Add Security (Score 1) 23

Exactly. And with the uncertainty LLMs now bring to the table, your software must be secure by construction to have a good chance of survival. This includes architecture, design and implementation and requires real insight and experience. Testing can only do so much. Review only really works if it looks at the construction principles used. If you "vibe code", you can basically throw the result away directly after finishing it.

Comment And slowly the truth emerges (Score 3, Insightful) 30

LLM-type AI has some uses, but it is not the "God machine" many people seem to believe, after ample prompting by the LLM pushers. It is just a tool. It can do some things somewhat well but unreliably and needs a lot of manual oversight by actual experts. "Vibe coding" is somewhat suitable for mock-ups (which is useful), but cannot create production stable / secure / maintainable code and thereby fails basically all fundamental requirements for production code.

In the end, we will see what we saw with all other AI hypes: Productivity increases in the 1..10% range for some very specific things, productivity decreases in many others things that got pushed. Not a surprise. Only because of unfettered greed and customer stupidity did things get scaled to a completely irrational level and hence there will be a real crash this time, with real damage. The last AI hypes basically fizzled out quietly. Let's hope the sure-to-come next AI winter is bad enough that it makes it amply clear for at least a few decades that computers are not magic and cannot be magic and people should stop believing that.

Comment It was not very good (Score 1) 146

Not reliable and not durable. Initially, it worked great, but then it started to have trouble. I had the SCSI version. I eventually got an MOD drive as replacement that never caused any issues. But sadly consumers do not want reliable storage, so MOD was not developed further.

IMO, the Zip drive was just another badly made piece of technology that claimed to be something it was not. Quite like QIC-80, at least the consumer versions. Essentially just a money-grab.

Comment Engineering is probably a good choice (Score 2) 26

Many will still be doing software, but with an actual engineering education to help them. But Data Science? I think that stuff may be within reach of AI eventually. It is mostly statistics and data conditioning, both things AI can do. Of course, really good data scientists will still be in demand, but the mid-range ones? They may be screwed.

Comment Re:It can also lie about its capabilities! (Score 1) 89

You can continue to push lies. But I will not get on board with that. LLMs cannot reason. We have mathematical proof of that. Not that this is in any way a surprise to people that actually understand the mechanisms they are using. Among actual experts, this is not even a debate. The only thing these people look at is why the fake is so convincing.

Comment Re:It can also lie about its capabilities! (Score 1) 89

That is because you cannot do it yourself. Sorry, no other conclusion is possible from what you post.

Let me break it down a bit: There is non-general intelligence. You can fake that with tables and other preconfiguration mechanisms, because the domain and the set of conclusion is finite and known in advance.

On the other side, there is general intelligence. That one cannot be done with any precomputations. It requires the elusive quality of "insight" and that is whu LLMs can (provably) not do it.

In essence, what an LLM (and sadly many people) do is look up some precomputed "reasoning" and replay that. Many people do that without any fact-checking at all and what they arrive is called an "illusion of understanding". Also note that only about 10-15% of the human race are independent thinkers (i.e. able to fact-check), the rest does not actually have or use general intelligence. You seem to be in the 85...90%.

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