Makes it an easier sell politically. If you position it as dangerous to kids in particular, your opposition then looks like they're encouraging child harm.
My girlfriend's mother is visiting, 60 years old and constantly looking at instagram. I was sharing my data plan so she could use her phone outside the house but started lying that my plan had run out. Gives "parental controls" a whole new meaning!
This is a clear display that we need free trade, sensible economic polices and a common ground of what humans need to thrive. "Sovereignty" is overrated.
For example, for the US to have a chance in the EU, it would first need to fix its YOLO fiscal policy of sustained 5.5% debt/gdp deficits.
We shall see in a few years as US's debt balloons and the average American becomes pseudo-slaves from a few overlords... to see if the EU is really bad as some Americans believe it to be.
But I don't know how long this will go, so I'm investing on getting fit again for random jobs like moving atoms.
Or realizing my life's dream: become a lifeguard in public swimming pool or learn the trades to maintain swimming pools. There's a shortage of them where I live and it's enough money to pay for food etc.
I love swimming and watch people happy enjoying the water, it's such good vibes I'd do this forever.
Our life is mostly suffering and grinding through... but people on swimming pools are always smiling, having a good time & having the basic pleasures of enjoying the water and the moment.
It isn't surprising at all, Microsoft is doing a PE firm playbook with what they buy. You don't need to look much far, let's think about its biggest acquisition to date, Blizzard.
Blizzcon canceled. All of its IP barely got any love.
See what players think about the latest World of Warcraft patch. It's absolutely shit and broken. People say they fired the entire QA department since a few years back and since then the quality has just gone down.
They buy those businesses because they have nothing to do with that free cash flow, and for accounting reasons it makes sense to have them.
They didn't buy those businesses to develop it further and make it worth more.
Github will just become ever more irrelevant.
The key issue is that the US governments let those huge monopolies exist, and then use their money to buy other businesses and enshiftify them.
Unless that changes in the US, this will continue happening.
The Steam userbase would appear to disagree, with the recent reviews being mostly negative reviews (and the user reviews for Overwatch have hovered between mixed and negative for years now). And this doesn't appear to be from review bombing by some specific subset of players, the language breakdown shows reviews ranging from mixed to negative in all major language groups (English, Russian, Chinese, etc.).
> See what players think about the latest World of Warcraft patch. It's absolutely shit and broken
Crazy to me that the loot tables are still broken for some players/characters, they've tried to fix it several times now, and it's still not working - Since (some) endgame gear can only be obtained this way they've effectively soft locked those players/character out of the endgame.
Context: Some players are always receiving the same drops i.e. a belt. Rather than a varied loot table that gives them a chance to get items they need.
Thanks for your perspective from somebody working on the field. I still wonder though: what would the results be if we'd just use a richer dataset + more parameters? Would it be really that different results? (except costs, as MoE def helps with that)
MoE: I assume some people just specialize in working with routing as with that, as by reducing the amount of params and just using a subset, you end up making it less costly. So, AI researchers are only working on optimizations on getting this better?
Same question on Reasoning, so AI researchers are working mostly on optimizations on top of it, like CoT and so on, like mini-optimizations.
So basically, they work on those micro-optimizations, put them together and see a % improvement in a benchmark?
I'm sure this is probably awesome for languages, which if I'm not mistaken, it was the use-case initially used on "All you need is attention" and the entire LLM revolution.
But this seems to be a very clear path to be "taking the car to the carwash by foot" for a long time, isn't it?
It feels like we'll keep "taking the car to the carwash by foot" until somebody optimizes for that prompt, or some pre-training done, and then there'll be another prompt that will show that the AI has real trouble with very basic real-world reasoning and imagination.
Isn't it the case, or do you see any kind of research that could take us from that plateau full of micro-optimizations that get us a few cm higher to the peak?
MoE is mostly an optimization of the active parameters and therefore lowering the compute requirements, but it can provide some performance improvements over dense models in some cases.
I would not describe reasoning as optimization: In fact, it's typically doing the opposite, as models spend way more tokens (and therefore compute) on responding to the same prompt. Some of the smartest models these days use ridiculous amounts of reasoning before they ever respond. Try Deep Research in Gemini or Claude and you'll see what I'm talking about.
>> But this seems to be a very clear path to be "taking the car to the carwash by foot" for a long time, isn't it?
I thought the progress was plateauing sometime last year too, but then some new models got released and we saw that the multilingual capabilities improvements are real. And if you want something more tangible and reported on, consider the Opus 4.5/4.6 coding revolution (Claude Code explosion) a few months back.
LLMs being stochastic and statistical machines, there will always be funny things that people will come up with that will trick them, be it R's in strawberry or the carwash by foot. At the same time, I can tell you from my experience that a lot of the Misguided attention ( https://github.com/cpldcpu/MisguidedAttention ) type of stump questions work at a much lower rate with newer models. Progress is being made, it's just not in visible areas.
BTW, you can come up with many trick questions that will stump even humans with PhDs. They will be of different kind than the ones for LLMs, but this is not a flaw unique to LLMs.
If you're asking whether the progress to AGI isn't taking too long, then I personally think LLMs, at least with their current architecture, are not the foundation of AGI, and will always have inherent limitations. But we're fully in the "that's just like, your opinion, man" territory now :)
LLMs for language feels like it's definitely the way to go. I feel like that by just improving it further can definitely reach perfection, if not very close.
My concern is mostly all adjacent fields, like systems thinking, spatial reasoning, "real" human-like reasoning etc or as you put it, "AGI".
Doesn't seen this will take us there at all. I don't feel like we're closer to AGI than we were on the earliest versions of ChatGPT.
I've had a similar problem with other hardware, my solution was to lower my expectations of "having a shop" to fix it.
No shop will want to have the expectations to successfully fix a complex GPU, unless it's their main business, as the solution can potentially not be 'reballing the memory modules' and they might just break your GPU in the process, they don't wanna have to pay you back in case they do, otherwise the risk they are undertaking isn't worth the chance of they fixing it and getting your X euros.
Go to hardware communities and ask them if they'd like to have a go at it, find somebody reputable and go with them.
Otherwise based on what you said, you literally will have to trash it, or find a way to constantly cool it down in a very reliable way (Good luck! I tried the same with a CPU with an overheating issue and failed miserably. Hopefully you'll manage it)
If nicbou the builder is having a hard time, that's all the economic downturn data point I need.
I share a similar sentiment about Germany. I mean, we do have a recession for a couple of years already.
As a Software Developer, I've experienced layoffs of International companies just nuking their German team, for both cost and law risks (from people trying to create a worker council and the like).
I'm still employed because of my YOE, my skills & a wide network of people that have seen the quality of my work, but I see even previous CTOs and great engineers without a job.
Maybe in the years ahead, I might need to work doing something else.
I've always wanted to go to trade school and run my own business anyways, just didn't due to software engineering being so fun, interesting, challenging and ofc, well-paid.
I've been practicing my German a lot (C1+), so in worst case scenario I can do other work, maybe become an electrician or something that involves moving atoms, rather than bits.
You can buy mate tea as tea sachets, "Mate leão" has a nice taste blend.
Why not do it with the leaves? This is harder as their taste profile is very uneven.
For the sour taste, add citric acid.
I'm pretty sure that if you toy around with the amount of citric acid, sugar & dillution you'll get a similar taste, or something even more palatable for you.
You should get your website up and running and start writing and tell others not only how you made it, but also why. What you felt in this change in your life etc.
I guess a big part of this is figuring out how to make money doing that. I wonder how did you get there.
I've always had the desire to make soft drinks and I have a similar concern about how we are sitting the entire day...
I have a hard time understanding this.
We have plenty of adults with terrible social media addiction that is destroying their lives, and nothing being done about it.
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