apublicfrog

Amusingly Nathan For You did this in a humourous way back in 2014 (S02E06 - "Party Planner").

> Who is like, "damn I wish I had a tablet that I could fold up and still barely fit in my pocket"?

Me! Sounds great. Ideally a full fold up laptops or some sort of HUD, but I'll take a pocket folding tablet for now.

Every windows install I've ever done (in Australia) I picked "English (Australia)" when possible, and "English (UK)" before Microsoft provided that localisation option. I've never seen US letter as a default.

If we're being anecdotal, I haven't had a single outage of anything affect me at all this year, but have had many in previous years. Often the thing blamed publicly has been incorrect too.

I see nothing at a glance about the author (Dmitry Kalinin) being American, so I can't imagine that is relevant.

The fact that people have lived and worked near data centres for decades and didn't even know what the term meant - let alone be adversely impacted by them - probably indicates they're broadly an non issue. All of a sudden out of nowhere, AI and data centres got intermingled by the media and now people seem to have big issues with them.

I just want to say thank you. I've bought most of your games and they scratch an itch for me that few things in life do. I really appreciate it!

It's been pretty common in the past for tech companies to announce outages and quick updates about them on twitter for decades. I'm sure their status page etc will be updated soon, but it's historically been the fastest way to get things out to the wider audience whilst bypassing the "official mail out" review by marketing etc.

> No they weren't. They were a gimmick - it is only in the past 6 or so months that frontier models have started to do stuff beyond mere gimmicks when it comes to coding

This is simply untrue. Using agentic orchestration I was writing production code daily 3 years ago. Hallucinations happened sometimes and context window was smaller (so you had to do some funky workarounds to deal with larger codebases), but it was workable. There have been a lot of marked improvements from a code perspective then - a lot model related yes, but also a lot in the ease of use, interfaces, etc.

> Another thing I'd say is that you clearly have no clue what 'consumer hardware' means, or what consumers that can even get this stuff running locally would have to do to get it to even rival the frontier models in terms of their usability (most consumers are't going to just boot into Ubuntu and run this thing from a command line) flow, to say nothing of the hardware requirements.

You've moved the goalposts. My point was that the "danger" of no new open models being released isn't that high as the existing ones are already impressive. Their ease of use or daily driving isn't relevant to that. If there were a need, someone could wrap a clean interface and support around it, or run it as their own cloud solution.

You seem to be arguing something adjacent to my point, which is fine I guess but I have little to say. Also multiple of your comments have come across quite aggressive and rude. Just food for thought if you want to work on that or not.

Maybe. The use cases people primarily use LLMs for (documents, coding, design, research) existed decades ago with different tooling. Who knows if the future will have a slew of new problems that require new models or will continue to be similar?

> And stop acting like some dog shit 8B model the average Joe can run on a laptop is even close to being comparable to what Claude or even Codex can currently do.

I'm not, you've actually illustrated my point. LLMs in 2022 were very impressive. By 2024 the general public was finding them an acceptable replacement for many research driven tasks and massive shortcuts for other tasks (coding, image work, document preperation, etc).

Those models are absolutely runnable on consumer hardware now, and we were extremely happy with the results. It's no different to how we used to think CRTs were amazing or early smartphones, but going back now they seem awful.

We're long past "danger". If what we have is the best we'll ever have open source, we're already in an excellent position.

Is that true? It feels wrong. Consumer grade SSDs and spinning disks are unlikely to be the products used in enterprise.

I suspect the type of person who is even aware of this 4GB blob is the type of person who would research its usage. Pretty high venn diagram crossover.

> It's a very dangerous gamble. Today incredible value is available for nearly everyone. But it may stop without any warning, for reason outside our control.

What stops you from running the best open weighted LLMs currently available on consumer grade hardware for the rest of time? They're good enough for 95% of use cases, and they don't have a used by date. From what I can see, the "danger" is not having the next tier that comes out, but the impact of that is very low.