The "McKenzie"-style lady and Schmidt from Google (who really seemed to resent the pushback and chided graduates), can go to hell. I'm happy that someone is telling the young people who are likely to suffer because of this tech that they matter. I can't imagine how much angst much exist after taking on debt to get an education and then this is the job market.
But perhaps whether or not his stance is correct, the students needed to hear this. They (we) have to believe human brains still have value and find a way out; for otherwise there'd be no point to try anymore.
Our value isn't predicated on our utility. The simple fact that we are sentient beings, capable of joy and suffering, gives us value. This is why we continue to support and care for the elderly and the disabled - we value them regardless of any practical utility we may derive from them.
If you go through life believing that your value depends on your practical utility, then things like AI are an incredibly scary existential threat. But denial is not a healthy way to cope with this threat. The solution is to recognize the value inherent in us as humans, and to demand public policies that reflect this fact.
Or one I prefer, though unattributed: "If the only lens through which you can view life is value in currency, that which is priceless becomes worthless."
Having great tools means more impressive solutions, not fewer blacksmiths.
“You’re right - I overstepped”
Is the new “You’re absolutely right”.
I don’t know if we can qualify something that actively goes against the explicit instructions you give it as “something great”. It just sounds like Dario is building snake oil and selling it too.
They'd be out of company after a week
Sounds like you're talking about AGI, not AI. AI is here today.
AI will be there, but it'll transform. When I say I don't use AI (i.e. LLMs, chat interfaces, agents and "autocomplete") for coding, research and whatnot, people label me as a luddite. The fact is I know how to use them. I test them from time to time. Occasionally these tools help. More often they hinder.
"Resistance is futile, hand your brain over!" is a hype filled dystopian fatalism noting that future is inevitable. It's inevitable. You can use this correctly, and we don't got back to our senses to understand how to use this correctly and efficiently.
We are just cooking our planet right now, with heat, poisoned water and slop.
And if anything, average AI user is vastly overstating how good/useful it is. Papers about it pretty much always show huge gap between "productivity person thinks they are achieving" and "actual growth of productivity"
You might be redefining words here; there isn't a form of intelligence that isn't actual intelligence. It is all actual intelligence. Artificial in this context means it is something we're creating in a lab. LLMs can't avoid being artificial intelligence. The meaning of "AI" is to artificially create actual intelligence.
That is absolutely insane. Thing is I can honestly believe that it happens, which makes it even more insane.
Right now the AI marketing paradigm is to create rockstar superusers who can (supposedly) do the job of hundreds of individuals at the speed of light! Which bleeds into the design paradigm, which is trash. I’m bullish on AI that can be used more cooperatively and collectively by a company.
I'm slightly _more_ convinced (still not all that strongly) that the rising cost of memory and chips, data center construction that gets outpaced by computing demand, increasing energy costs, and low switching costs for customers will force the model labs to make changes that increase the barrier to entry (either via higher pricing, more restrictive rate limiting, etc.). or force their customers into longer term commitments.
Hell, even Microsoft is having trouble paying Anthropic’s API rates.
There is a ceiling to how much people are willing to pay for work slop. Just look at the backlash to GitHub Copilot’s token based billing changes.
I don’t want to live in a world where the barrier to entry on entrepreneurship is how much you can pay Anthropic or OpenAI.
I see the point of your argument when this is done by inexperienced developers, as they wouldn’t know what’s happening but for those who knows and guide what has to be done, I don’t see much difference. It’s about understanding the outcome, and evaluating the risk.
AI doesn’t really fix that or is really even that suited for it. In many cases it makes it worse.
That’s why you see software quality going down. Developers aren’t told to make better quality software even though AI does really make that easier. Instead they’re told to make more software faster for cheaper.
Cheap, Fast, Quality. Pick two. Business will pick cheap (short term) and fast every single time.
...and that time never comes in most cases. Because monies are earned in exchanged for that debt and, management cares about monies. They don't see that debt as important, or as debt at all.
I laughed when I read this, imagining a weird act of self-congratulation in front of a silent audience.
But in this case, "Steve Wozniak cheered after telling students they have AI" _is_ a grammatically correct sentence, which means that Wozniak did the cheering, which may be the source of confusion. Or, perhaps it means not that he vocally cheered, but was cheered up emotionally.
most are (few others I can speak). Generally, passive voice and past tense do not collide by having the exact same suffix. The fact the headline lacks a verb (when interpret correctly) doesn't help either.
Could be interpreted as Steve himself cheered. Or it could be interpreted as the passive which is meant here but I would argue it should then say "Steve Wozniak cheered at after telling..." but I am not a native speaker.
The original title "Apple cofounder Steve Wozniak got cheers, not boos, after telling students they 'all have AI — actual intelligence'" can not be interpreted in the way that Steve cheered as far as I know.
Where would the skill issue be? Please be specific.
How is the original title not less ambiguous to you? Do you see other interpretations than I mentioned above or do you disagree with my interpretations?
For example, BBC News right now says "Jury discharged in Ian Watkins pirson murder trial", "Carrick confirmed as Man Utd permanent boss", "Ex-soldier jailed after woman..."
Okay, in this example it's more ambiguous because "cheered" does not have to take an object. But native speakers are primed to expect a passive sentence here.
While it's technically ambiguous
He's one of the nicest, most down-to-earth people I've ever worked with.
Every teenager goes through it, some still try to find their place until the day they day, but we all grow up in vastly different contexts and environments compared to what we experience as adults, and stuff keeps happening around us that we don't like, maybe don't even want to participate in, but because of the lack of alternatives, you don't really have a choice.
...and many people choose to ignore that fact.
If money can buy votes then the problem rests with an apathetic and distracted electorate.
You change that by giving a fuck and telling everyone you know what you actually think.
"We do not inherit the earth from our ancestors; we borrow it from our children."
I think we've forgotten this. We are not paying it forward any more as a society.
On an unrelated note, I haven't used an Iphone since 2018 and I wonder if Siri has gotten any better. I do see "Apple Intelligence" being advertised everywhere and besides AI summaries of texts on the notifications bar I haven't seen anything to understand what Apple Intelligence actually means.
Siri is basically unchanged, it looks like they have had serious problems getting LLMs, or generative AI in general to be reliable and 'safe' enough to put their own name on it. By 'safe' I mean thinks like not generating emails based on Mein Kampf, or doodles of genitals, or hallucinating false 'facts'.
Not a concern for many of the frontier AI providers with no reputation to burn, but not exactly on-brand for Apple. I very much doubt Jobs would have viewed that differently.
I too would say Jobs probably would have an human angle on it, but he also famously was a tyrant who struggled with people not doing exactly what he asked, and could be slightly nitpicky about that, maybe having a robot that follows exactly what he wrote, to a fault, would be a machine he'd greatly enjoy.
Or he'd throw it in the trash with some flourish of words explaining how a machine could never feel frustrated so therefore couldn't great excellent products, or something.
Steve Jobs really cared about his users, and putting out great products for those users.
I imagine he would have loved all the machine learning stuff that Apple has being doing the past few years (stuff like voice noise separation, instant text OCR and photo object isolation).
Based on the story about the first iPod being too big, dropping a prototype in a fish tank, lots of air bubbling up and him going "there's your space", or the disdain he displayed about how crappy Mobile.me was, I imagine he would have recognized LLMs for the flakey product they are and would have been very wary of introducing them into users their workflow.
> .. and I wonder if Siri has gotten any better ..
Siri is still crap, but so is Gemini. Both still do incredibly stupid stuff like when you try to request some music on Spotify "cannot find the artist or song 'My Playlist Hard Techno'" / play some unknown vaguely matching artist. Or it'll do an internet search for "goose oven cooking timer ten minutes". Or ask "for how long should I set your timer?" and name the timer "goose oven cooking timer ten minutes" which in a way is even more stupid.
You'll get some naysayers here saying stuff works perfectly, but its that inconsistency that sucks. Sometimes it'll one-shot a really difficult voice command or obscure song search. And then other times (many times..) I have to yell at it three times to set a timer, at which point I sigh, realize doing it manually would've been faster, and set the timer manually.
In a way its made me realize LLMs and voice assistants aren't that good, it's just that even tech people have incredibly low standards. Especially the people working in AI.
It's hilarious, when you boil away all the froth and hype, that we've collectively decided that "talk to computer" is somehow worth an entire generation of venture capital and maybe even the whole stock market. It's a dumb idea to begin with. A mouse and keyboard are better.
Steve believed “you’ve got to start with the customer experience and work backwards to the technology”.
https://youtu.be/EZll3dJ2AjY?t=114
Which, to their credit, seems to be what Apple tried to do with Apple Intelligence and was already doing with Machine Learning. But if under Steve they had over promised and under delivered—like what happened under Cook—some heads would probably have rolled.
> I wonder if Siri has gotten any better.
Nope. There are rumours the new one will use Gemini and be better, but who knows. We’ve heard this before.
> I haven't seen anything to understand what Apple Intelligence actually means.
When it was announced, I thought it was a brilliant piece marketing in the sense of associating the “A” in AI with Apple. But then it turned out to be trash, so turns out the association is a hindrance. Anyway, you know how Microsoft uses “Copilot” for anything they ship which has “AI” in it? That’s Apple Intelligence. It’s the umbrella term for anything anywhere in one of their products where they use any kind of AI/ML.
They don’t go out of their way to bolt the features to everything the phone does or make it particularly difficult to turn them off. That’s probably one of the last major reasons I still have an iPhone.
Microsoft in comparison forces you to use OneDrive, has copilot tapping on your glass like clippy every five seconds, etc. The desperate pleas to use these features are embarrassing
Luckily, this doesn't seem to happen to everyone, especially if you aren't a public figure, a billionaire nor a successful startup founder, but that particular combination seems to make it extra likely you experience this transformation.
I was young once and naive, and I read a bunch of sci-fi. I could never have imagined having these LLMs or coding agents during my lifetime. Never. It was unthinkable to me that something like this could even happen.
And yet, here we are.
Even if you think it’s just a statistical trick, you should still be blown away.
You should also be optimistic, because that’s what we need young people for. We used to be able to convince young people to get on boats and migrate halfway around the world to die on some godforsaken land. Or get on boats and go fight some ideological war somewhere else (not saying that was a good thing). But now we can’t even get them excited about technology?
What have we done?
People used to have nothing. My grandfather got his first pair of shoes when he was 10 years old. Yet he was more joyful and positive than most people alive today.
The reality of the world faced by today's 21 year old college grad is completely unlike the world graduates went into 20 years ago.
> What have we done?
Arguably this transition happened a lot earlier; the first half of the 20th century was the time for pure techno-optimism, then somewhere between nuclear weapons, global warming, and reporting like The Silent Spring people realized that there were downsides. Medicine had its peak with antibiotics, the edge blunted by the thalidomide disaster, and now sits in a complex web of paranoia and propaganda.
It's not enough for technology to be "cool" in an apolitical vacuum. People have to believe that there will be benefits for them. And the big pitch from the AI companies is the "great replacement" of all white collar jobs with AI. No wonder they're upset.
I'm aware that Steve Jobs was a jerk, but I cannot imagine him complaining about how he had to miss some great parties so he could spend the weekend taking food and medicine away from the world's poorest children (as Elon Musk did during his DOGE phase). The ethos was just completely different.
I think the problem AI has is after the novelty wears off, and if you are not using it for code specifically, it is mostly just a fancy search engine that the dumbest person you know uses to validate their idiocy.
So, yeah, I can see why the kids are over it.
So yes, that kind of curbs the enthusiasm, doesn't it?
Using two symbols of technology: AI (advanced modern technology) Shoes (cheap, basic materials)
You were saying the following, in essence, no? "My grandfather got shoes and was happy, new kids get AI and are not happy."
Have you stopped to consider whether this statement might be more applicable to yourself? "Myopic lies" is at the very least highly exaggerated phrasing, if not itself myopic and a false characterization. If it's not too uncomfortable for you, some honest introspection might be worthwhile.
Car (like humans) requires a lot of care and maintenance. You have to feed it (gas), park it, and jump through many legal hoops just to use it.
Walking is very often faster, and if not you can just fly or take a taxi.
At least you provided a source! Er… wait, you didn’t even tell us your laptop model, describe the paper other than in terms of token size, or where these well rested graduate students (read: unicorns) hide from the rest of the world.
Give it a bit more effort next time.
I really do not think there is a point to argue here.
Also why you have to be unicorn to comprehend 40 pages paper? I often do it with no sleep, while drunk. Hardly unicorn!
so I COULD take over by hand again like I did the decades before just fine, but I refuse to and instead play a codebase like a RTS - lots of stuff happening in parallel but at all times a understanding where is which thing going on and have the next steps in mind (sometimes directly queued as follow up instructions). For me vibecoding is a strict speedboost and literally gamified projects I work on, and the guardrails not only in textfiles but much more in executable code (linters, tests, dependency checks, playwright, ...) as feedback loops agents can spin on on their own made it all click together to the point my main bottleneck is stuff like the Codex app itself using high CPU and memory on my local mac.