This is a bit of a strawman. There are certainly people who claim that you can ask AIs anything but I don't think the parent commenter ever made that claim.
"AI is making incredible progress but still struggles with certain subsets of tasks" is self-consistent position.
That is a sub-token task, something I'd expect current models to struggle with given how they view the world in word / word fragment tokens rather than single characters.
Not trying to be smug or blithe, but this is one of the main things I love about living in the suburbs or the country: neighbors can only bother me outside (and they rarely do).
Going from an X1 Carbon to a MBP felt like stepping 10 years into the future. The seamless lid close, battery life, operating temp, build quality and performance were all _huge_ upgrades.
I held out on Mac for 20 yrs, no idea what I was thinking.
I spent weeks last year trying to decide what to get to replace a MBP M2, and while Lenovo's offering was good for enterprise consumers, there was very few laptops with decent perfs and HiDPI screen in a practical form factor.
I think for anyone not caring about gaming perf, the Microsoft Surface line is way ahead of anything Lenovo has to offer.
For better perf Asus had a better lineup, and we get form factors like the X13 or Z13 which are just excelent in day to day use (now if only they made 32 or 64G a standard option for all their "gaming" machines I'd have no notes).
I kept a mac for backup, but am seriously waiting for Apple to make more drastic moves (finally a real iPad computer ?) before ever going back.
I've had countless Lenovo laptops over the years. They were amazing up until about 2012 or so. They used to be built like tanks, could survive anything, upgradeable in every way, repairable and affordable (especially used.) There was a span of over a decade where $250ish would buy you a fairly powerful used Thinkpad in decent shape, and it would last you forever because they were indestructible. My Thinkpads went diving with me into canals, oceans, piles of mud, bogs and other non-OEM-recommended-environments and they always survived. Worst case you might have to replace one component, which you could do with a swiss army knife in about thirty seconds. All of those things built tons of goodwill that carries on in people's minds today.
I say 2012 is the dividing line because that's when they released the Yoga, which was a big step in a new direction. I actually owned multiple Yogas, and didn't hate some of them, but they had nothing in common with Thinkpads. In 2012 they also released the X230, which was more locked down than the X220, which the enthusiast community hated. The decline after 2012 was sort of slow - I bought a T440p (released 2014) after my X230 got stolen and I found it was pretty decent, certainly pretty durable - but Lenovo's main focus had clearly shifted towards the new and shiny.
These days they're just another Windows laptop OEM, which is to say: built and engineered like crap, weirdly expensive for what you get, horribly ugly, software full of ads and spyware and AI bullshit, disposable after a few years. The M1 Air was released 5 years ago this year and I still use two on a daily basis for serious tasks; I'll probably be using them years into the future too. They're not really repairable, but they do last. Any five year old Windows laptop is slow as a dog, has small plastic parts breaking off of it, looks somehow even shittier than it did originally, and of course is full of adware and garbage.
Anyway, that's all to say: yes, in 2025 Lenovo is overhyped, but that's just reputational inertia from many years where they were genuinely good.
Let’s be honest though: there has been an immense amount of propaganda on both sides. How many times has Ukraine reportedly embarrassed Russia, knocked them back on their heels, been within weeks of winning? All with young beautiful people on the front lines singing patriotic songs?
Russia is certainly the aggressor, let’s make no mistake. But I honestly can’t make heads or tails of what is actually happening in Ukraine because of all the universal propaganda
I paid for pro to try `o1-pro` and I can't seem to find any use case to justify the insane inference time. `o3-mini-high` seems to do just as well in seconds vs. minutes.
"AI is making incredible progress but still struggles with certain subsets of tasks" is self-consistent position.
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