Recent comments in /f/singularity

Ihateseatbelts t1_jegrot2 wrote

I'm all for it... in principle. An actual public-service answer to for-profit LLMs should absolutely be an option, if not the go-to solution. But given our UK leadership and their flagrant disregard of said public, I'm not so sure.

London is an AI research hotspot, which is great, sure, but that's also what I'm worried about. The current state apparatus lends itself to a culture of dictatorship by consultancy, which ultimately stifles public interest and agency.

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shmoculus t1_jegqw0h wrote

I think people have this vision that Google is very capable and but the Emperor may actually have no clothes ...

No doubt their research is top tier (note that until now they didn't even merge their AI labs), but that is very different to releasing AI products. They could have released numerous products in this space, but they didn't.

Only now that they are forced to are they even trying and woe and behold they were unprepared. They got complacent and underdog sucker punched them to attention. Microsoft may have got lucky with their particular bet on AI but they are pushing very hard and it's great to see some competition.

I hope Google bring their A game but they have to beat Bing and GPT4 on price, quality and ecosystem, that may be quite challenging event with their resources

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HarbingerDe t1_jegqsuz wrote

"UwU, I don't use the word "literally". I'm so smart UwU."

I'll say it again. Profit literally comes at somebody else's expense. There are ways to generate surplus value without necessarily taking from somewhere else, automation is a decent example of this. But for the most part, it's a zero-sum game.

Everything that followed was more or less a load of flowery irrelevant bullshit. Profit it's simply the difference between what it costs to produce a good or service and the amount of revenue you can generate selling it.

There are many ways to go about generating profit, but cutting expenses is the primary move for short-term profit-obsessed private corporations. Where do companies often first look to cut expenses? Wages.

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Express-Set-1543 t1_jegq4vw wrote

Where will the apps be hosted? While AI can assist in creating a web app, its success depends on having sufficient computer resources to host it. For an unlimited number of successful apps, websites, and platforms, we would need an equally unlimited number of servers. However, when demand rises, so do the prices of these servers.

One potential solution is to move the AI onto customer devices. However, this approach is also limited by the resources available on those devices

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homezlice t1_jegpyvx wrote

Luddites were trying to throw wrenches in the works of tech that was destroying their livelihood. Calling someone who has legitimate concerns about use and misuse of entirely new tech a luddite is really a misrepresentation.

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agorathird t1_jegpfqk wrote

You are describing some kind of 1950s atom-punk idea of the future. That future has been cancelled. LLMs perfected, embodied, and multi-modal (general or specified) will cover the theorized 70 then 90 then 99% of human tasks. It only matters how long until companies feel like adopting it.

You will have capital owners and executives with machine employees. We are not in the picture as meaningful contributors. Hiring us will be like riding to work on horseback. No one will be going to work like George Jetson.

10 minutes of meaningful human labor to give WorkerGPT some extra oil sounds like a masquerade for what is really a society supported by UBI.

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No_Ninja3309_NoNoYes t1_jegpb5t wrote

Well, you have analog to digital converters in the digital world. This gives you binary and machine language. Higher up you have assembly language which is basic instructions like load byte, store byte. Very tedious but simple. And then you have higher programming languages where you don't have to worry about low level details, the ones on the bits and bytes level.

I suspect that we operate on a high level too, but the language we use in public, written and spoken, is lower than what we use in our heads. It's like assembly language or even machine language. I think it would be really hard to translate from English to French if that wasn't the case. Or from Python to Java. Obviously programming languages have some resemblance to mathematics. For instance the concept of functions. If you never learned the pure concept of functions, it's hard to understand it with all the other things that you have to deal with like programming tools, editor, and assignments. So I think there's a more abstract language inside ourselves, but it's part of our hardware, so we can't express it.

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