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I cancelled my personal O365 subscription for this reason, even though I prefer Word to LibreOffice and the crap my Mac provides-- it wasnt just they raised the price, it was the new "AI" features they kept pushing.

When I cancelled, I made it clear why I was doing it. But I doubt anyone reads the feedback we provide


I use the personal subscription for the onedrive storage for my phones fotos

sorry, but thats a misleading title. The article is more like "Everything I hate about the AI companies"

You can hate (or at least disagree with) how companies like OpenAi work, and still believe in their hype (or at least that they will make good money).

Everyone hate cigarette companies yet they continue giving great stock returns.

Most of the article is standard complaint we've heard before. Im not defending OpenaI (or MEta or whatever), but these complaints have been heard a million times. Why is this on the front page?


NEVER get a semi automatic (washing machine), they are too much hassle. It forces you to do half the work yourself


True, but this is the most basic, non-smart machine. It runs on simple wiring and manual controls, but it gets the job done, especially when it comes to washing. Drying isn’t perfect, and yes, it requires some effort, but it’s the cheapest machine you can get.


The left blames BBC, calling them Tory shills, the right blames them, calling them woke activists.

Dont know--seems to me they are doing the right thing.


>In iOS you can share a subset of your contacts.

the problem is, the app must respect that.

WhatsApp, for all the hate it gets, does.

"Privacy" focused Telegram doesnt-- it wouldnt work unless I shared ALL my contacts-- when I shared a few, it kept complaining I had to share ALL


Is it something specific to iOS Telegram client?

On Android Telegram works with denied access to the contacts and maintains its own, completely separate, contact list (shared with desktop Telegram and other copies logged in to same account). I'm using Telegram longer than I'm using smartphone and it has completely separate contact list (as it should be).

And WhatsApp cannot be used without access to contacts: it doesn't allow to create WatsApp-only contact and complains that it has no place to store it till you grant access to Phone contact list.

To be honest, I prefer to have separate contact lists on all my communication channel, and even sharing contacts between phone app and e-mail app (GMail) bothers me.

Telegram is good in this aspect, it can use its own contact list, not synchronized or shared with anything else, and WhatsApp is not.


I’ve never allowed Telegram on iOS to access my contacts, camera, or microphone and it’s worked just fine.


Looks to me like it was a bug. Not giving access to any contacts broke the app completely but limited access works fine except for an annoying persistent in app notification.


How does Telegram know that the subset you gave access to isn't ALL the contacts? Seems like iOS should not leak that bit of info to the app.


iOS generally solves this through App Store submission reviews so I’m surprised this isn’t a rule and that telegram got away with it. “Apps must not gate functionality behind receiving access to all contacts vs a subset” or something. They definitely do so for location access, for example.


>You aren't going to 'learn robotics' in a meaningful manner by checking the boxes in a online ROS2 course.

This is the best answer-- all other answers are saying "Run this simulation of a robot".

but a simulation is not a robot. Even a simple lego tupe robot kit shows you how fiddly and complex real world moving parts make everything.


Could it be we are all scared, because if we call the Emperor naked, and 15 years from now someone finds a useful case for AI(even if its completely different to what exists today), everyone will point to our post and say "Hahaha look at those Luddites, didnt even believe AI was real LOL"


The recent high level of funding (Stargate, HUMAIN, ...), seemingly prompted mostly by LLMs, could plausibly be an emperor's new clothes fear of missing out among investors - will have to wait and see how it pans out.

But for 2010s-era machine learning this article is talking about, I feel it largely already has been validated - from shunned and unfunded at the start of the decade to being the almost universal go-to for any NLP or computer vision task by the end. The article itself lists a few use-cases (protein folding, weather forecasting, drug discovery), and I think it's unlikely you've gone through the day without encountering at least a few more (maybe search engines query-understanding, language translation, generated video captions, OCR, or using a product that was scanned for defects).

Not that every ML method will work out first try when applied to a new problem, but it's far from the case that we're waiting 15 years hoping for someone to maybe find a use-case for the field.


This is both funny and tragic at the same time...


>Most of these countries were colonized because they were in turmoil to begin with. https://en.wikipedia.org/wiki/Decline_of_the_Mughal_Empire

Wow, great justification for imperialism, you deserve a medal.

You do know India had other kindgoms besides the Mughals, right? Marathas, Sikhs, Kashmir, to name a few


Whaaaat? Even 10-12 years ago Ive worked for companies that used waterfall. Most hardware/embedded companies do, because it works for hardware. The problem arises when they try to use it for software too (though embedded companies have gotten better last 5-7 years)


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