I hate when they make these “holographic screen” images and the screen isn’t mirrored. If the guy that’s working on it is looking at it normally, then it should be mirrored for the camera.
This is so mildy pedantic it’s adorable lol
It’s actually a really good representation of how execs are viewing AI. It’s a bunch of meaningless graphs and pictures of robots with the word ‘AI’ sprinkled over the place, the whole thing is backwards for the worker, and it’s imaginary.
this article is itself a synecdoche of shitty management? oh, the irony!
Well there’s a word I didn’t know until today.
Well now I can’t unsee that. Thanks for ruining my day 🤣
This is happening at my company. They gave us 6 months to build an AI-tool to replace a non-AI tool that has been very well built and tested for 6 years, and works perfectly well. The AI tool has some very amazing features, but it could never replace the good old tool.
The idiot in charge of the project has such a bad vision on the tool, yet likes to overhype it and oversell it so much.
The idiot in charge of the project has such a bad vision on the tool, yet likes to overhype it and oversell it so much.
AI in a nutshell.
A shame, because the underlying technology - with time and patience and less of an eye towards short term profits - could be very useful in sifting large amounts of disorganized information. But what we got was so far removed from what anyone asked for.
A narrow purpose AI trained to recognize tumor growths early is the kind of AI that makes sense to me.
As an enhancement to an existing suite of diagnostic tools, certainly.
Not as a stand in for an oncology department, though.
As an assist to an actual oncologist, only.
I can see AI as a tool in some contexts, doing some specific tasks better than an unassisted person.
But as a replacement for people, AI is a dud. I would rather be alone than have a gf AI. And yes I am taking trauma and personal+cultural baggage into account. LLM is also a product of our culture for the most part, so will have our baggage anyway. But at least in principle it could be trained to not have certain kinds of baggage, and still, I would rather deal with a person save for the simplest and lowest stake interactions.
If we want better people, we need to enfranchise them and remove most paywalls from the world. Right now the world instead of being inviting is bristling with physical, cultural, and virtual fences, saying to us, “you don’t belong and aren’t welcome in 99.99% of the space, and the other 0.01% will cost you.” Housing for now is only a privelege. In a world like that it’s a miracle the people are as decent as they are. If we want better people we have to delibarately, on purpose, choose broadbased human flourishing as a policy objective, and be ruthless to any enemies of said objective. No amnesty for the billionaires and wannabe billionaires. Instead they are trying to shove down our throats AI/LLMs and virtual worlds as replacements for an actually decent and inviting world.
Capitalism strikes again! All the good generative AI could and does sometimes do but some capitalist made an email sound less like a soulless, corporate turd and it was to the moon with whatever state the tech was at! Rich people have no creativity, imagination, or understanding of the tech. They’re always looking for ways to remove labor costs and make those phat stacks! We could have used generative AI to handle a lot of the shitty, mundane stuff at a faster rate, but no they chose to replace the artists’ creations so they didn’t have to pay for the cost of labor.
Management was planning implementing Google Vertex (AI search platform), but since we already have all our data in ElasticSearch and it supports vectors, I said why not try to implement it myself. With integrated GPU and a very small model, I could create a working POC and it is gonna be - not overexaggerating - 50 times cheaper.
Don’t tell management. Start a new company then sell them what you made.
As someone whose had to analyze probably a billion lines of log files in my career, having an AI to do at least some sifting would be pretty great.
Or one that watches a Grafana dashboard and figures out some obscure, long term pattern I can’t see that’s causing an annoying problem.
As a non native English speaker, I found the “pilot” thing a bit confusing. But:
pilot = pilot program
And then it made sense.
Anyways I think it’s not so much the 95% that fail that matter, it’s the 5% that succeed.
Anyways I think it’s not so much the 95% that fail that matter, it’s the 5% that succeed.
Succeeding in what is also a critical point.
Succeeding in dramatically improving the library sciences? In rapidly sequencing and modeling data in chemistry or biology? In language translation? Cool. Cool. Cool.
Succeeding in slop-ifying mass media? In convincingly fabricating data to dupe industry professionals and regulatory officials? In jamming up my phone with automated sales calls? Less cool.
Correct, not all things that matter are positive.
But it’s the 5% we need to focus on.
Makes a planet burning bullshit machine.
Does not have any monetization plans.
“I’m telling you guys, it’s only a matter of time before investor money starts rolling in”
I want to start using your “PBBM” instead of “LLM”.
Oh, the investor money already rolled in.
It’s just that investors also want it to roll back out again. That’s what they’re going to struggle with.
Good.
Perish.
for example, “have seen revenues jump from zero to $20 million in a year,” he said. “It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.
Sounds like they were able to sell their AI services. That doesn’t really measure AI success, only product market success.
Celebrating a revenue jump from zero, presumably because they did not exist before, is… quite surprising. It’s not like they became more efficient thanks to AI.
It depends on the objectives. They were successful at selling useless crap to fools.
Frankly, I don’t believe that even 5% werre successful by any objective criteria.
That’s on par with all start-ups
I can’t help but laugh at the note about small start ups lead by 19-20 YOs succeeding with millions of dollars by ‘partnering well’ and so on.
The success or failure of these AI companies seems almost entirely driven by the amount of Venture Capital thrown at them. A company like Perplexity, with practically zero product, having been formed less than 5 years ago, but being able to put up $35 billion in an offer to buy google chrome… I can’t help but suspect that a big part of it is google handing perplexity a pile of money via “Venture Capitalist” screens, to help offload Chrome to mitigate their regulatory monopoly problems. But whatever the details, them having that pile of money is sure as shit not a matter of having a good product / partnering with other industries well.
All work with AI has to be double checked. It only works on the first try in the simplest of cases. Even then I need it to run through a few iterations to get the code features I want. You still have to be able to run through the code and understand it regardless of the source.
I hope you’re all keeping some money set aside for when the LLM bubble pops. It could end up being the best time to invest at a discount since March 2020.
When Trump got elected I sold some of my stocks. My investments are also my retirement funds, so I don’t need them for a while. I’m waiting until the next crash starts, or something else that’s pretty bad (war, rogue AI, whatever). If the market crashes I can immediately step in.
Nice.
I recently sold a portion of my crypto at a profit and am just keeping it in a money market for the moment. I want to have a certain amount to throw in stocks when the next crash comes, but don’t want to lose out on some of the good things happening now in terms of investing.
I can see that happening… but invest in what? NVIDIA?
Oil stocks were down 90% in March 2020. That’s what I went with. You can profit off a lot of things if you’re willing to hold for a few years.
I once had stocks in Shell, mainly because it’s a Dutch company (I’m Dutch) and its a pretty stable investment. But it felt very wrong to invest in oil. So after a few months I sold them (thankfully with a little profit).
Personally I just don’t want to invest in anything I think fucks up the world. It’s also why I don’t want to invest in meta and some other tech companies.
Personally I just don’t want to invest in anything I think fucks up the world.
For better or worse, then you wont want to invest in well, anything. Capitalism is always fucking up the world.
That said, most don’t have a choice about it, if they ever want to retire.
The best I can get you is investing in Seed Commons, or something similar: https://seedcommons.org/invest
It’s true. A person has to make the best choices for themselves.
Oil stock, in my case, paid off my student loans and paid for the down payment on my home, and just in time too given that the US leaders have allowed things to get so bad for the people in those arenas.
The way I justify it to myself is that, as far as investing goes, I am among the smallest of the small fish. Unless you own enough to sway votes in a public company, your investment doesn’t particularly matter as far as a company’s policies and behavior.
I have trouble just connecting to copilot many days.
Good
I’m confused by the article suddenly changing to seemingly other semi-related topics and pieces.
That’s AI doing a thing that they are trying to sell you as the successful 5%
Nothing new
