Without knowing the usecase too much you need vary the following variables:
Maybe not all is relevant to your usecase, but these are the main challenges.
… or to get all these cupcake recipes. If all that matters not to get fired is active agents…
Sounds to me they will be charging more for their services. Or do I need to purposely misunderstand the statement to be useless?
Bought the Fairphone with e/OS.
Problem is many see Android equivalent with Samsung and Samsung is the worst when it comes to customize your HW because they really lock down their shit.
For my phone I just bought a new battery after many years of use and it’s back to working as if it’s new. Before that I had a Shift phone (with Google, I think) which allowed me to replace the camera module once the autofocus in the camera broke.
Not sure if I’m old fashioned, but I like to own my devices and modify them if I please.
My wife would hate it, if I were no longer reachable.
No. I haven’t used Google apps on my phone for years already. That includes Google Play Services and the Play Store. Most apps are open source and I’m self hosting my media.
We gotta claw this shit back.
There’s stiff competition. Good for the consumer.
It’s not a defense of the LLM. They are bad tools: LLMs can be unpredictable and if you hand them a nuke they may trigger it for whatever reason, even harmless and unrelated ones.
So don’t hand them a nuke, idiots.
The guy betting on this even ran in to try and make Trump dance by shooting the ground under his feet like they did in old Western movies, but that didn’t work out either.
Not mentioned in the article but Gemini is obviously developed by the DeepMind teams, among many other things.
Check the rotations settings. It’s off by default.
I can still do this with my FP4 running e/OS. Just had to put a checkmark at 180° in the rotation settings.
No, it has to do with growth. An adult eye no longer grows significantly.
Had a similar experience when SCUBA diving recently. New pressure gauges these days are digital and I still think the analog ones are not only prettier, but also functionally more convenient. You don’t need to be able to read numbers to know you’re getting into the red. Maybe they have some extra feature but I didn’t need it.
You don’t sell the same amount of product when you have to increase the price. You may need to shrink your business to not get the remaining margin getting eaten up by operational costs.
I agree that 0-days aren’t numbered. There are so many layers on which tech can be exploited that this is a difficult claim to make.
On the other hand, there are two different kind of exploits: clear holes in the logic, a situation or code path not considered by the coder. And the much harder to catch extremely creative ways to make a program do things it was never designed to do.
I have not seen LLMs doing creative things ever, so I doubt it would catch this second category. But sure, catching some logic holes it can be helpful with.
The job market is actually pretty bad right now and with all the recent layoffs in tech very saturated. Unionizing would make more sense.
But we have to identify this as what it is: an internal policy failure where they abandon proven processes to maintain code quality.
I guess I’m lucky my managers have not put that pressure on me yet. I do however see developers getting sloppy and lazier so the reviews actually do take more effort and AI rarely catches all problems with a change.
At least in my experience these models are pretty good now to write code based on best practices. If you ask for impractical things they will start doing ugly shortcuts or workarounds. A good eye catches these and you either rerun with a refined prompt, fix your own design or just keep telling it how you want to have it fixed.
You still gotta know how good code looks like to write it, but the models can help a lot.
Or rather the right to use shovels under ToS that can be changed on a whim.
If you don’t differentiate and keep the two in the same pot you won’t be able to fund research into the useful stuff. It’s true that consumer hype and research funding decisions are not the same, but they may be indirectly linked. A public fund may fear public outrage if it continues funding X millions of AI projects even if they’re not LLM related.
So the reputation damage may affects viable, net positive applications.