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Gazoche

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Not that it's any excuse, but Apple does something similar by saving your photos to iCloud and deleting them from your local storage without telling you.

I have seen the following scenario play out twice already:

- The free iCloud tier runs out of storage because of the photo backups

- Apple spams the user with warning notifications and emails and incentives to upgrade

- User sees that nonsense and decides they don't really need iCloud backups (sometimes they didn't even know it was on) and turn it off

- But oops, turns out iOS had "helpfully" removed the original photos from the local device to "save space", and now the photos are inaccessible

- User tries to turn iCloud back on to access their photos but iOS now refuses to do it because the account is out of storage space (but don't worry, you can still upgrade to a paid plan!)

- The photos are now held hostage by Apple

You can access the photos from the iCloud website, but the download interface is clunky because it is not made for mass exports. And in this age of smartphones and apps, how many people know this is even an option? When this happened to an elderly family member of mine, it was only sheer luck that he had his iCloud password written down somewhere and I was able to rescue his photos from Apple's jaws.

I have never read an ending that was as sad, happy, clever and beautiful as the ending to Rise of Endymion. To this day it's one of the very few books that made me shed a tear.

Now, over decade later, I am in the middle of re-reading every book in the Cantos series back to back (this time in their original language), and still loving them.

Rest in peace Mr Simmons. You had the words of a poet and the mind of a dreamer.

Same here. Until recently I would get maybe 1-2 spams a month, and I just got 30 in the span of a few days.

They’re the very obvious, very obnoxious kind of spam, and Gmail still correctly sends them to the junk bin, so I wonder if they were shadowbanned before and Google simply decided to make the process more explicit (which I don’t hate on principle).

Either that or my address was scrapped from somewhere by a spam bot and the timing is coincidental.

Sure, but what confidence do you have that what the "dumb" LLM says is worth any salt ? It's no different than aggregating the results of a Reddit search, or perhaps even worse because LLMs lack the intent or common sense filter of a human. It could be combining two contradicting sources in a way that only makes sense statistically, or regurgitate joke answers without understanding context (the infamous "you should eat at least one small rock per day").

Evangelists keep insisting that healthcare is one of the things that AI will revolutionize in the coming years, but I just don't get it. To me it's not even clear what they mean by "AI" in this context (and I'm not convinced it's clear to them either).

If they mean "machine learning", then sure there are application in cancer detection and the like, but development there has been moving at a steady pace for decades and has nothing to do with the current hype wave of GenAI, so there's no reason to assume it's suddenly going to go exponential. I used to work in that field and I'm confident it's not going to change overnight: progress there is slow not because of the models, but because data is sparse and noisy, labels are even sparser and noisier, deployment procedures are rigid and legal compliance is a nightmare.

If they mean "generative AI", then how is that supposed to work exactly? Asking LLMs for medical diagnosis is no better than asking "the Internet at large". They only return the most statistically likely output given their training corpus (that corpus being the Internet as a whole), so it's more likely your diagnosis will be based on a random Reddit comment that the LLMs has ingested somewhere, than an actual medical paper.

The only plausible applications I can think of are tasks such as summarizing papers, acting as augmented search engines for datasets and papers, or maybe automating some menial administrative tasks. Useful, for sure, but not revolutionary.

they don't feel intelligence but rather an attempt at mimicking it

Because that's exactly what they are. An LLM is just a big optimization function with the objective "return the most probabilistically plausible sequence of words in a given context".

There is no higher thinking. They were literally built as a mimicry of intelligence.

I should get one of those Ruuvi Tag...I use a similar cheap Xiaomi sensor currently but the battery doesn't last anywhere as long (probably because it has an LCD screen and isn't made to broadcast via BLE continuously).

* A USB KVM that lets me share my keyboard/mouse/webcam between my two computers (work and personal), and switch at the press of a button.

* One of those IKEA wall-mounted grate things (SKÅDIS) that you can hang stuff to. IKEA sells hooks for it that turn out to be the perfect size to hold a PS4 controller securely, plus various boxes and mini-shelves that have helped declutter my desk.

* A cheap bluetooth-connected Xiaomi temperature/humidity sensor. You're supposed to use it with the Xiaomi app, but turns out those devices just broadcast their data as an unencrypted BLE feed, so I can just intercept it with a Raspberry Pi and redirect the data to my own Postgres+Grafana setup for recording and monitoring.

One thing I love about my Thinkpad is the dedicated middle-click button above the trackpad. Such a simple feature, but so much more reliable and convenient than two-fingers tap, three-fingers tap, corner tap, double button press, or whatever ritual you have to perform on other laptops to do a middle-click.

And then they discovered something extremely weird: Playing the music video on one laptop caused a laptop sitting nearby to crash, even though that other laptop wasn’t playing the video!

That’s about the time I would have given up on the investigation and called in an exorcist.

Cons of orbital data centers:

- Ludicrously expensive to setup

- Need radiation-hardened silicon

- Ludicrously expensive maintenance requiring highly specialized operators (a.k.a astronauts)

- High risk of losing the entire equipment to a rocket failure (not infrequent even for modern launch vehicles)

- Supplying enough electrical power would be extremely difficult

- Cooling would be extremely difficult

- Geosynchronous orbits have at least 200ms of communication latency

- Lower orbits means the data center would not stay in place and require complicated tracking antennae and/or a communication mesh a la Starlink, again increasing latency and complexity

Pros of orbital data centers:

- ??????

...why are we doing this again?

For someone who is "increasingly bothered by the lack of rigor in the current discourse", the author sure has no qualms about using LLM outputs as primary sources. This is an immediate red flag that discredits the entire article.