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In 2-3 decades 30% of the world population will be over 60 years old (~3 BILLION seniors).We don't have an economic model for it, nor does gen-z want to all be Personal Support Workers while paying rent. Nvidia only makes 6million data center GPUs a year. Huawei makes 900k. We need 10 to 100x more to be able to automate enough just to hold civilization together. Amazon built datacenters with near 0 water use but it used 35% more electricity overall. So tha problem can be solved however we need to change out of the whole scarcity mentality if we're going to actually make the planet nice.

I switch from iPhone to a pixel 9 fold, and installed graphene after 2 weeks on stock android.

Look, it's better than stock android overall, UI much more simplified even though it gives you a lot more security control, battery feels slightly longer, but there are drawbacks, i.e. twitter/x wouldn't install, neither would my bank's app. However from time to time I go to use iOS on the iphone and it just feels like better software, with better ergonomics overall, the combination of the xnu kernel plus the design and feel of the..buttons.. on iOS is still years ahead in my opinion. So keep that in mind if you're switching away from apple to it, as android still feels like decade plus old software.

Now for the upsides.. there's a built in terminal and debian vm you can install and run your agentic AI tools (claude code,opencode etc) in a portable sandboxed environment which you just don't get onios. You can even fire up a graphical xfce session albeit that takes quite a bit of work to get it to go.

As for the tablet form factor of the phone itself when unfolded, i found it amazing the first few weeks and then later found myself rarely using it.

Overall I'm going to stick with itand will never go back to stock android, but am quite annoyed at how much better it could actually be.

As someone fully supportive of the social media ban for Australian kids, I think As someone fully supportive of the social media ban for Australian kids, I think we need to teach UK kids to vibecode their own VPNs with OSS models at this point so they can save what's left of their future civil liberties.

We all know where this is going, they're going to ban the one mathematical tool we have that gives us control over machines, encryption.

Replacement.ai 9 months ago

I'm very much pro hyper-automation, especially for all government work... but can't help but think this type of branding is just in bad faith and that these are not good people.

It just screams fried serotonin-circuits to me. I don't like it. I looked at the site for 2-3 seconds and I want nothing to do with these guys.

Do I think we should stop this type of competitive behaviour fueled by kids and investors both microdosed on meth? No. I just wouldn't do business with them, they don't look like trustworthy brand to me.

Edit: They got me with the joke, being in this field there are people that do actually talk like that, both startups and established executives alike. I.e. Artisan ads in billboards saying STOP HIRING HUMANS and another new york company I think pushing newspaper ads for complete replacement. Also if you're up with the latest engineering in agentic scaffolding work this type of thing is no joke.

While I don't want to discount the work of any physician-founded org knowing the pain they go through from working with them after they've seen 18 patients in a days work, this still just just looks like bad software. With no testing, no internal bench.

Did you do some kind of zod schema, or compare the error rate of how different models perform for this task? Did you bother setting up any kind of json output at all? Did you add a second validation step with a different model and then compared their numbers are the same?

It looks like no, they just deferred to authority the whole thing. Technically theres no difference between them saying that gpt5-mini or llama2-7b did this.

Literally every single llm will make errors and hallucinate. It's your job to put all the scaffolding around to make sure it doesn't or that it does a lot less than a skilled human would.

So then have you measured the error rate or maybe tried to put some kind of error catching mechanism just like any professional software would do?

At the end of the day, if you look at almost any government, roughly 2/3 of expenses go towards healthcare and education things which, AI worlkflow are very likely continue offsetting a larger and larger percentage of the costs on.

Can we still have a financial crisis from all this investment going bust because it might take too long for it to make a difference in manufacturing enough automation hardware for everyone? Yes.

But, the fundamentals are still there, parents will still send their kids to some type of school, and people will trade good in exchange for health services. That's not going to change. Neither will the need to use robots in nursing homes, I think that assumption is safe to make.

What's difficult to predict change in is adoption in manufacturing, and repairs ( be that repairing bridges or repairing your espresso machine ) because that is more of a "3D" issue and hard to automate reliably (think about how many gpus today would it actually take to get a robot to reason out and repair a whole in your drywall), given that your RL environments and training data needs grow exponentially. Technically, your phone should have enough gpu performance to do your taxes with a 3B model and a bunch of tools, eventually it'll even be better than you at it. But to tun an actual robot with multiple cameras and stuff doing troubleshooting and decision making.... you're gonna need a whole 8x rack of gpus for that.

And that's what makes it now difficult to predict what's going to happen. The areas under the curve can vary widely. We could get a 1B AGI model in 6 months, or it could take 5 years for agentic workflows to fully automate everyones taxes and actually replace 2/3 of radiology work...

Either way, while theres a significant chance of this transition to the automation age being rough, I am overall quite optimistic given the fundamentals of what governments actually spend majority of their money on.

half readable color scheme.. random python and javascript mixed in, ships with 2 python CVEs out of the box out of 5 total dependencies... yep it checks out bois...certified infested slop

  python-socketio==5.8.0: 1 CVE (CVE-2025-61765); Remote Code Execution via malicious pickle deserialization in multi-server setups.
  eventlet==0.33.3: 1 CVE (CVE-2025-58068); HTTP request smuggling from improper trailer handling.

And then economists wonder why are none of these people getting jobs...

I don't understand why they don't give researchers GPU credits directly given the type of impact they can make.

No legal slop, just email address of runpod/prime-intelect/x-gpu provider account and deposit directly $5000 there. let them waste it.

You can easily filter who's worth receiving by they github and huggingface history.

Open SWE by LangChain 12 months ago

Amazing now I need to fire up my other agent so that it can go in my other laptop, and use the dummy github I use for throwaway agent because this thing is asking to act on my behalf on my github and I don't understand wtf that even means... can it sell my account to another bot, can it add all my data to another drastic leak no one cares about...

And then I can finally use this thing.

The problem with AI ethics, safety and to a smaller extent, privacy groups is that the priority of the work/message is not placed on the practicality of solving the problem, or i.e. calculating improving affordability of food/housing, but is placed,as evident on this article too, on the lack of "governance structures".

In other words the priority of the work is to get these types of people into positions where they don't do any work.

At least with privacy groups you do get here and there some practical advice on using ublock origin or more rarely on how to install a blocklist from https://someonewhocares.org/hosts/, but with AI ethics & safety orgs... well lets put it this way.

I have yet to meet a single AI safety person that knows how to rename a file in linux.

God forbid we have a rogue AI-worm shutting down all servers & BGP routers while these types of people were in charge of safety, they'll be in the way of anyone even fixing it. They can't even get a simple safety benchmark working on lm_eval-harness. They're great at lecturing you why they shouldn't need that.

And this is the key issue with AI Ethics. It's the refusal to work at the problem constructively, and get the most skilled people possible to actually make the damn benchmarks to work, to rank models on the understanding of human rights, to list every current violation and abuse of humans in every single country without exception and to make practical plans on what to do when systems go rogue. Even if they're not technical they could be making the dataset in a csv in excel for that and making it public domain accessible.

Instead we get the most depressed, leechy-office-worker types complaining about how it's all over.

Now back to work, move it.