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middlemanSI ,

it’s “AI” not AI…

SkaveRat ,

It’s AI not AGI

thanks_shakey_snake ,

It’s A “I,” not “AI”

SkaveRat ,

no, it’s quite literally AI. It’s a research field in IT that is quite old.

Or are you ranting for years already that the AI that computer games use is also not really AI? Because they do that for decades as well.

People like you are really starting to be a problem, as they water down the discussion of real problems this topic has by blabbering on about “iTs nOt ReAl Ai”. Stop it. It’s not productive. Concentrate on the real problems instead of doing armchair bullshit like this

thanks_shakey_snake ,

I mean I was kinda just riffing on the pattern cause I thought it was funny.

Aceticon ,

Yeah, AI is pretty generic: simple pathing algorithms in games are called AI.

The “AI” being hyped a lot at the moment falls in the subgroup called Machine Learning (or ML) for short, which excludes algorithms (so something like the A* pathing algorithm is AI but not ML) and isn’t even all that young (I learned Neural Networks back at Uni about 3 decades ago).

It’s just that computing power, the advances over time in the algorithms in Neural Networks and the use of massive datasets (LLM stands for Large Language Model) have brought us over a threshold were ML can produce output in text, imagery and audio good enough to usually deceive the average person, hence all the hype which is being backfitted to hype just about all kinds of AI, even the algorithmic stuff.

FaceDeer ,
@FaceDeer@kbin.social avatar

The term "artificial intelligence" has been in use in this field for a very long time now, applying to a broad range of techniques. Some of them much, much more primitive than the LLMs and such that are revolutionizing the field currently. There is nothing wrong with using AI to refer to them.

JoMomma ,

ChatGPT says:

Investing in AI, like any other sector, carries risks that could potentially lead to financial challenges or even bankruptcy for companies. Some factors include:

  1. High Initial Costs: Developing AI technologies often requires significant upfront investments in research, development, and infrastructure. If these costs are not managed well or if the technology doesn’t gain traction, it can strain a company’s financial resources.
  2. Market Uncertainty: The AI market is rapidly evolving, and success depends on staying ahead of technological advancements. If a company fails to adapt or faces competition with superior innovations, it may struggle to maintain market relevance.
  3. Regulatory Challenges: The AI industry is subject to evolving regulations, and changes in legal frameworks can impact operations. Non-compliance or unexpected regulatory hurdles can lead to financial setbacks.
  4. Cybersecurity Risks: As AI systems become more integrated into various sectors, the risk of cyber threats increases. A significant cybersecurity breach could result in financial losses, reputational damage, and legal consequences.
  5. Limited Adoption: If the adoption of AI technologies is slower than anticipated, companies heavily invested in AI may struggle to generate expected returns on their investments, potentially leading to financial distress.

It’s important to note that while AI presents significant opportunities, prudent management, market understanding, and strategic planning are crucial to mitigate risks associated with investing in this dynamic and evolving field.

stopthatgirl7 OP ,
@stopthatgirl7@kbin.social avatar

The irony of using ChatGPT for this of all articles.

admin ,
@admin@lemmy.my-box.dev avatar

Yeah, just goes to show that the AI hype may be peaking, it’s not going away.

assassinatedbyCIA ,

Thank god the bubbles finally starting to burst. I am tired of hearing about ‘AI’.

herrcaptain ,

Right??? I swear every damn app is trying to shoehorn in some sort of AI nonsense just to hop on the bandwagon.

deweydecibel ,

A lot of them aren’t actually implementing anything, they’re just changing words on their product description.

Like a spell checking addon suddenly rebranding itself as “AI”.

From the very start of all this, it never made sense to call any of this “artificial intelligence”, but that marketing stuck, and now we’re trying to retroactively apply it to very basic things like text suggestion, further diluting the meaning of the term.

sir_reginald ,
@sir_reginald@lemmy.world avatar

I agree with the first part of your comment, AI is the new buzzword.

But AI is the correct term for LLMs and other technologies using neural networks. That’s what computer scientists have been calling them for decades. The sentient AI concept that we have comes from SciFi. I’d argue that the correct term is what experts have been calling it for years.

LPThinker ,

This misses the fact that even the experts have been using “AI” to refer to whatever technology used to seem impossible, until it becomes commonplace. Before LLMs there were heuristic algorithms, and then expert systems, and then intelligent agents and then deep learning. As the boundaries of what is deemed achievable expand, the definition of AI moves to just beyond the frontier.

FaceDeer , (edited )
@FaceDeer@kbin.social avatar

You're not going to stop hearing about AI. Perhaps AI companies won't be so high-profile, but AI itself is being integrated into lots of things and it's not going to go away. The only thing that's happened here is that it's proving to be not quite so profitable as expected being an AI-specific company.

Edit: Perhaps not even that, the article appears to be neglecting to mention that this is part of a trend across the whole stock market rather than something AI-specific.

FiskFisk33 ,

Nobody thinks generative ai will die, but when the bubble bursts maybe we wont get it shoehorned into places it really doesn’t belong.

CosmoNova ,

Personally I cheer for employees such as myself. The artificial pressure to compete with LLMs just got a lot softer.

CustodialTeapot ,

AI isn’t new. Algorithms “are” ai. All apps always used it. But it’s changed from algorithms to AI.

gapbetweenus ,

AI is just a specific subset of algorithms, also not that new - first concept are from 1960 or so (from memory don’t quote me) with perceptron. New is parallel computing power of modern chips - that allows for far better performance.

CustodialTeapot ,

Absolutely is. It’s fucking outstanding how big corps are eating it up.

Alrogithm corp = nothing new, boring low evaluation

Change it’s name to:

AI corp= 1 BILLION DOLLARS!

ShepherdPie ,

I don’t think that’s necessarily true. We aren’t hearing about “blockchain,” “crypto,” or “NFTs” every day anymore either even though they all still exist.

frezik ,

I don’t see it where it’s part of a broader stock market trend. Sp500 is up 1.25% today, 1.52% for the past 5 days, and 4.74% for the last month. Those are spectacular numbers (for people with stock market portfolios).

AI crashing in its own little corner is fine by me.

GenEcon ,

Of course its a hype right now. But at the same time AI improved my daily working live in the past year so much! I can outsource a lot of annoying tasks to AI and focus on the more creative tasks and everything strategic.

Passerby6497 ,

Can you expand on how AI improved your workflow? The only positive experience I’ve had with AI has been Githib’s copilot in my VS Code instance. All the other ai interactions I have are pretty terrible.

GenEcon ,
  1. Githubs Copilot
  2. ChatGPT for larger coding tasks (its better at explaining what it does)
  3. Deepl.com/write for proofreading and better texts.
eltrain123 ,

The current state of AI development is going to cost a ton of money until its maturity. Any company that is in “AI” right now is either intentionally spending billions of dollars to solve AGI, which will ultimately open up trillions in marketplace solutions, or is using the press to market fledgling AI “solutions” or “integrations” with fancier versions of narrow AI.

AGI is in its infancy and is progressing on an exponential curve. The first time anyone heard of ChatGPT was 14 months ago and , with proper prompting, it’s already easy to use to write college level essays and is passing higher education tests like SAT, GRE, medical exams, CPA certifications, and the bar. Think of what will happen when it hits its toddler stage, let alone adolescence or maturity.

Any way you look at it, the days of hearing about AI are just starting and it will dominate the press in the next decade.

MonkderZweite ,

Any company that is in “AI” right now is either intentionally spending billions of dollars to solve AGI

Lol, no, that’s another field entirely. They make the tools an AGI could use someday.

Feathercrown ,

trying

jacksilver ,

LLMs don’t really fall under AGI, they’re still static statistical models. Some RL algorithms might be on the track of AGI, but I’m not sure about that.

iAvicenna ,
@iAvicenna@lemmy.world avatar

or we might be failing to understand severe limitations with this model which would ultimately reach its ceiling very short of anything that can reason

VampyreOfNazareth ,

Artificial Insemination 2024

autotldr Bot ,

This is the best summary I could come up with:

Following disappointing quarterly earnings results by Microsoft and Google owner Alphabet, Reuters reports that AI-related companies lost a whopping $190 billion in stock market value.

Microsoft may have eked out a win, with the promise of AI services convincing investors, but even its stock dropped by 0.7 percent in extended trade, per the report.

Google’s parent company fared much worse, dropping 5.6 percent after missing ad revenue expectations.

Microsoft beat Apple by becoming a $3 trillion company earlier this month, a massive vote of confidence for its doubling down on the tech.

According to Deutsche Bank strategist Jim Reid, the downturn may be “signaling some overextension of the recent strong rally,” according to a note seen by Yahoo Finance.

“This knee-jerk reaction [to tech results] is noise, the AI revolution has started,” Wedbush analyst Dan Ives told Yahoo Finance.

The original article contains 331 words, the summary contains 139 words. Saved 58%. I’m a bot and I’m open source!

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