greeny7373

I started to see a huge issue with knowledge: people don't know what they don't know.

If you have a magic Maschine your solution is no longer 'no clue how to do this' but it becomes 'i will ask my trusty expert machine'.

This machine now gives you the next step, the guidance you need without being jugemental OR much simpler: just looks to busy to you that you are not confident to disturb the other.

I'm quite good in understanding the difference.

But LLM can already do things Google can't.

LLM is not just a search engine.

It's an explainer, rubber duck etc.

Instead of 'google define x' I just say ' explain x' in my dialog with the machine.

And it will only become better and better.

Yep Sam is really really good.

Already have use cases for that too!

And?

I can also use a horse to ride to my parents and im still using a car?!

You can teach it to act as a support personal.

'only answer the following questions and use these API endpoints doing the task'.

Now you have a multi lingual human Isabel Interface.

Have you seen the Wolfram alpha examples?

You describe it in a way that sounds like hype is negative.

Hype can also just mean a lot of media attention.

This doesn't indicate anything good or bad.

That's quite arrogant.

Not everyone has ever written something like it.

Why is it unfair or unpersonal if chatgpt helps you, guides you and gives you a good starting point?

Guess how many people would Google some example and starting with that, what's so wrong to let chatgpt generate a shitty first draft already tailored to your situation?

You never read something on a paper and had no clue how to even start to get it?

I talked about snippets of papers to work collueges. Chatgpt can do the same thing.

And why wouldn't it? It's only here to help me to find something I can use for further understanding/googling.

You sound like a parrot.

Humans often enough not even understand logic.

And chatgpt might not be good in reasoning yet, but if chatgpt metamodel is better than normal human reasoning (which might be the tool for a human to learn) because it just reads the knowledge you need to reason about than ilthe end result is the same state than on what a human stands.

I also believe we might see something unfold but we still don't know.

It would be wrong though not to keep an very close eye on it or also to embrace it because if it will not just happen in the next 20 years you still need to earn money and with expertise in ml you might be better of

All current indications says otherwise.

Web3 or crypto didn't disrupt markets.

Chatgpt or let's say ml already did and there is no writing on the wall it will stop. Contrary it shows how much potential there is and how excited a lot of people are.

We have already ml now in office, in bing, in Google workspace. There is midjourney, SD etc.

You can find ml generated porn pictures.

We have constantly news about advantages in multiple ml fields.

This is so different to crypto and stuff.

It already disrupts school system.

It already shows huge potential in fields like medicine or law.

So many normal people I talked to know and used chargpt and we're crazy impressed. This alone makes it much clearer for a lot more people who already understand that they need to invest in this topic somehow.

We are already much further with this than we have ever been with Blockchain.

And it's not just chatgpt. In the same area we also have stuff like midjiurney SD and adobies new tool.

I need feauteres from n article description and chargpt can just extract it without any effort.

I don't know any other library I could just use with this task with nearly the same quality besides some regex soup.

Real Job vs. outdated job.

You don't want to know how many companies still get paper bills scan them and add them to their system half manually.

And normal people without scripting experience never had the tools to just do a little bit of text analysis without tools like chargpt.

Google doesn't need to play the unicorn game.

They have plenty of services to make better or add features like Google cloud.

They can do things like what Ms does: have multiple dominating products and still have no issues with companies using azure.

Google just could disrupt any industry the wish.

They could spend much more on enabling 3th world / emerging countries

I still don't get Google and the others having huge revenue per employee.

Google could easily put these people in making more money.

But instead they launch weird products like their Blockchain service, miss out on AI etc.

Google Io is in May, if they don't announce google personal ai assistant they don't have enough visionary people.

It's still Facebook.

The company who had a huge impact in fake news, discrimination, death of people, scams and scams, etc....

Facebook is cancer, the research is blood diamonds.

The Autor doesn't mention googles announcement from a few years ago to go renewable 24/7.

So, what's the value of this 'analysis'?

More holistic would have been to mention this, also compute following the sun, data center energy values (forgot the term for this), storage calculation for the needed amount.

In my opinion there is nothing easier than making a data center green and DCs already ha e a huge CO2 savings aspect.

It's so much better to do banking business online than driving to a bank.

I'm annoyed by mention DC becoming green. It wastes energy for the real CO2 sources.