The ones doing what you are describing here especially lately are the western powers with millions and millions of dead each decade in wars over resources not ideology or safety. It’s about money and power resulting in thousands of dead children, women and civilians - lately in palestine via israel. It’s creating terrorism not safety - so your argument is backwards - it’s the military industrial complex keeping the war going. And to use the ‘it’s for safety’ is extremely sinister and has been debunked continuously by everyone with even the slightest interest in geopolitics.
Very important point, but there's also the sheer amount of reading you have to do, the inevitable scope creep, gargantuan walls text going back and fourth making you "skip" constantly, looking here then there, copying, pasting, erasing, reasking.
Literally the opposite of focus, flow, seeing the big picture.
At least for me to some degree. There's value there as i'm already using these tools everyday but it also seems like a tradeoff i'm not really sure how valuable is yet. Especially with competition upping the noise too.
I feel SO unfocused with these tools and i hate it, it's stressful and feels less "grounded", "tactile" and enjoyable.
I've found myself in a new weird workflowloop a few times with these tools mindlessly iterating on some stupid error the LLM keeps not fixing, while my mind simply refuses to just fix it myself way faster with a little more effort and that's a honestly a bit frightening.
I relate to this a bit, and on a meta level I think the only way out is through. I'm trying to embrace optimizing the big picture process for my enjoyment and for positive and long-term effective mental states, which does include thinking about when not to use the thing and being thoughtful about exactly when to lean on it.
Tangent but isn't this easily circumvented by Veo 3 and other newer models - when they become fast enough to respond quickly in a few years?
I wonder how long before the internet will become 100% bot noise - even previously valuable last bastions like hackernews, only battled with some kind of actually clever and at least semi anonymous Homo Sapiens verifier.
Is anything in the pipelines or will we eventually end up with some kind of Human ID's, and can be anonymised?
Both ‘Fall; or, Dodge in Hell’ and ‘Anathem’ by Neal Stephenson have very bleak outlooks for the future of the internet that I see playing out today. Being riddled with bots and false but plausible misinformation.
"This is one possible characteristic of complex systems: they behave in ways that can hardly be predicted just by looking at their parts, making them harder to debug and manage."
To be honest this doesn't sound too different from many smaller and medium sized internetprojects i've worked on, because of the asynchronous nature of the web, with promises, timing issues and race conditions leading to weirdness that's pretty hard to debug because you have to "playback" with the cascading randomness of request timing, responses, encoding, browser/server shenanigans etc.
Pretty funny but also tragic that the extremely myopic, socially stunted and sheltered life of this type of person will now be the lens billions see the world through.
Ie. the reddit or internet discussion power user.
I know this is a quirk, but the metaphor is clear, i say this partly as one of those guys.
Amen to that. Please for the love of all things remember your future defining ‘human design’ with brilliant UX in early macos and hypercard. Now you have unlimited money and don’t give a single f?
Do better please! Where is the passion, catering to pro’s, any idealism? Hardware is great but software gets worse and worse..
You do remember the crash prone classic MacOS, the ridiculous Performa line, the Copland disaster and that Apple was almost bankrupt?
Also the classic MacOS where you (the user) had to pre allocate memory per application and where holding down the mouse button stopped any application from running in the background.
It's wild but my own issue free MacOS era was OS9 on my iBook G3 clamshell. Had to replace a harddrive (bounced down a stairwell, but held together) and upgraded the ram, but other than that fine experience.
My next Mac was a 2008 Macbook Pro (non-unibody) that had backlight issues out of the box, failed display cable two years in, and then the GPU failed. (Nvidia plague era, and Steve Jobs silence plague era of shit-ass fan curves)
To this day I still refuse to trust Apple's fan curves and install fan control software. Especially the M1 iMac with the cut down graphics that they only gave one fan and a smaller heatsink. Watched it break 100C regularly.
The m1/m2 mac mini might be the only one I've never had issues with the stock fan curves so far, but I still bump them up anyway for peace of mind. I don't see a reason to let an SoC hit 98C even if its rated to do so.
I skipped most of the x86 era. I had the first Intel Mac mini connected to my TV running Front Row in 2006. But after that I didn’t buy another Mac until the M2 MacBook Air in 2023.
At the end of the day, I was just not that impressed with the x86 based Macs. They had all of the drawbacks of x86 with all of the added disadvantages of Ive inspired design which led to poor heat dissipation, not enough ports and butterfly keyboards
When I started at Apple it was to work on Quickdraw GX.
It was very cool tech. Closer to what Apple would get from NeXT years later.
My guess is as to why it failed (and this was also the common sentiment at the time) — it was an optional install and not a default. It's hard to imagine anyone writing an app around a component (extension) that few people had in the OS.
Just checked some Genmojis created on reddit, wow, i don't know how that got approved. I'm all for creativity and freedom but it's 100% not apples brand.
And they just postponed AI-Siri to 2026 after promising it for iPhone 16.
I seriously don't get how it can be that hard. Small model trained on various app API's, a checker model that double checks, an approve this action button. Not that hard.
One of the craziest ones are basic search in osx has been broken for 10 years now - it might work for a while but for power users it almost always gets weird then stops working.
Another wild one is syncing photos between iphone and mac meant ‘this photo will sync at random point in the next 5 days’ - it’s just recently been fixed after like 8 years of not working.
And don’t even try to use their stupidly simple proprietary apps like Numbers where basic spreadsheet functionality is bizarre or missing.
Mac is still my favourite but i don’t get why a trillion dollar company can’t fix their software for what’s ‘pennies’ for them.
And OpenAI based their tech on a Google paper again building on years of public academic research so what's the point exactly here?
OpenAI was just first out of the gates, there'll always be some company that's first, essence is how they handle their leadership, and they've sadly been absolutely terrible and scummy.
Actually i think Google was a pretty good example of the exact opposite, decades of "actually not being evil", while openAI switched up 1 second after launch.
Google wasn't the first search engine but they were the best marketing google = search. That's where we are with openai. Google search was a better product at the time and chatGPT 3.5 was a breakthrough the public used. Fast forward and some will say Google isn't the best search engine anymore (kagi, duckduckgo, yandex offer different experiences) but people still think of google=search. Same with chatGPT. Claude may be better for coding or gemini better are searching or Deepseek cheaper but equal but chatGPT is a verb and will live on like Intel inside long after it's actual value has declined.
That happened long after they completely dominated search. They succeeded because of quality, and because of how low quality all the other engines were.
There was a time when Google was thought of as a respectable, high-quality, smart and nimble company. That has faded as the marketing grew.
What is your point? OpenAI wasn’t the first out of that gate as your own argument cites Google prior. All these companies are predatory, who is arguing against that? OP said OpenAi was irrelevant. That’s just dumb. They are not. Feel free to advance an argument in favor of that narrative if you wish as I was just trying to provide a single example that shows that some of these lightweight models are building directly off the backs of giants spending the big money. I find nothing wrong with distillation and am excited about companies like DeepSeek.
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