Posted by Brajeshwar 4 hours ago
If negative perception towards AI grows, either because of negative experiences after having it forced on them, or as people's utility bills skyrocket, or as the environmental impact becomes more apparent, they might find that what appeals to shareholders doesn't impress the people who usually pay for their products.
I don't think people understand just how viscerally negative the perception of AI is for the youth.
Can you elaborate on why he has such a negative view of AI? Genuinely curious.
Edit: downvoted already as expected. What a joke of a tech community this site is becoming.
What a time to be alive
Last time that AI was big before DL it was the "big data" fad and everything had to be big data. Marketing has never not been about how to disguise "what we already do" as the newest buzzword that customers (or investors) want to hear.
The same goes, of course, for all the non-AI fads like "the cloud" or "NoSQL".
I remember in the years before the pandemic that I would joke that all you had to do was "sprinkle in some blockchain" to your VC pitch and your valuation would automatically go up by tens of millions. It seemed dumb to me then and it seems dumb to me now.
The people who are being marketed to with the AI term don't have any idea what that mean and AI, as a marketing term (the only way it's ever been, so far, commercially used) means a lot more than transformers. My dishwasher has "AI" because it has sensors that can detect where the most dishes are.
The marketing term really just means that the product changes it's behavior without user input. A simple "if...then" is AI.
AI has been used as a marketing term for at least a decade now but LLMs are poisoning the brand because they're, largely, implemented in almost exclusively user hostile ways.
To clarify, I'm mainly talking about B2B-type businesses where the marketing is to investors or other large enterprises. Despite the fact that it's popular and in vogue to think of VCs and business leaders as idiots, most of them actually do understand what AI is and the difference between "modern" AI and basic automation.
And even if you're talking about end consumers, I feel like there is a growing backlash against AI and people will think of a business that touts their "AI dishwasher" or whatever as obvious bullshit and see it as a net negative.
Slightly ironically, now in the mirrorless era, and AF algorithms actually based on DL subject recognition and complex predictive algorithms, Canon has retired the "AI" label.
9i - "internet"
10g - "grid"
11g - "also grid"
12c - "cloud"
26ai - "ai"
various other examples. One really annoying thing is this has also happened in open source projects too - generic things that, sure, help out with AI tasks are now "AI" things.
They’re incentived to do so because apparently investors don’t understand the difference.
If the market can remain irrational longer than a fundamentals-driven investor can remain solvent, is it irrational to bet on the market remaining irrational?
Remember the Internet was first hot and everything was iThis or Active That. iPhone still has i.
Remember… well not, me, I wasn’t alive… when radiation was cool and Radioactive was in.
Everyone always wants to be cool.
The reason the term "machine learning" was even invented was because it was one of the AI winters and an euphemism was needed because "AI" was more of a swearword than a buzzword.
which used to be called Statistics
which used to be called “math” or maybe “applied science.”
Obviously the underlying tech and research changed along the way… but not as much as it would seem. We’re still doing matrix operations and gradient descent and softmax, all of which has been around for a while.
Last time around was when "fuzzy logic" came out, I think?
> Any sufficiently advanced technology is indistinguishable from magic.
In the sense that it doesn’t matter if it’s AI or Algorithms. All that matters is people think it could be AI. If yes, then it is. Doesn’t matter what’s actually going on behind the scenes.
(Not that I love this reality, I don’t advocate for it, but this is how things are)
One of the sample prompts is "How is my traffic compared to last month?" So if you type all of this text, click send, wait for Google servers to burn a liter of water to calculate a probable answer, what it gives you isn't even the answer, but an option that you can "apply." If you click on "apply," it refresh the page with a filter using the functionality that already existed in the search console. In other words, this entire LLM can't do more than you can already do by clicking on the extremely simplified buttons of the existing UI. How do you do the same thing via the UI? Click "More -> Compare -> Apply". A whole LLM to replace 3 clicks with 2 clicks + typing the prompt.
By the way, just think: if we gave people an LLM in this analytics thing, what is the number 1 question people would ask? The answer is obviously "how do I increase my clicks?" or "how do I become number 1 on Google?" You don't even need to be a product person to figure that out. That's obvious. Just completely obvious. And of course, the Google's chatbot can't answer that. Because they probably realized, instantly, that is going to be a lawsuit if they said "do X to get more clicks" and you did X and you didn't get more clicks.
Layoffs aren't indicators of success or failure, just some theoretical tea leaf reading style signal for future profits of a company. So if a company is already growing unbelievably fast layoffs are a bad sign, if a company is slowing in growth apparently having employees on business units not working out is equally a bad sign.
And for many companies these layoffs are the modern version of Roman public executions with the audience(investors) cheering it on.
I'm doing Quantum Crypto AI next.
They didn't trade company fundamentals, they traded the market sentiment.