I used to play EVE on and off for years (decades?) and as many people here I loved more the idea of the game than the reality of it so I couldn't handle it for long periods.
I would love the possibility of setting EVE servers where we have like instanced pre-loaded scenarios (battle for a structure for 50v50 preloaded fits, alliance tournament style fights, etc.) and can do open source. Of course they'd need to open source quite a few more things, I wonder if they could franchise the game itself this way so people setting the servers pay a bit or something (or rent the capacity, cloud style?).
AFAIK, EVE is very profitable and EVE's mother company have been trying to use this cushion to branch out into other games and exploit the IP. I believe this has been mostly failed attempts and they've been bought, sold, etc. Maybe franchising EVE itself would work better? CCP plz?
I don’t want to be a conspiracy theorist but how much do we think this responds to the Trump admin having documented financial ties to openAI? Trump has proven to me very transactional in dealing with private business.
FWIW I agree the financials are a bit crazy and OpenAI went a bit nuts with the circular deals. That said, honestly, I don't think it's the end of the world. I think there will probably be some correction/crash and it will probably be healthy. A lot of these circular deals will get canceled, but it's at the end of the day people changing imaginary numbers with each other. The underlying tech I still think it's revolutionary regardless, the same way that the internet was and the tech boom crash at the end of the day was a distraction from the fact that these companies did end up "ruling the world"
There's no shortage of sources of information. I'll exercise "critical reading" with sources I consider trustworthy to begin with. I've no time to engage with difficult analysis from people who are not worth the effort. You wouldn't engage with every lunacy you read on a tabloid, right? similar principle
I guess what I'm saying is that I won't look at his numbers since he's an unreliable source from my point of view and there's a chance that he's going to try to deceive me and it's a waste of time for me to listen to him.
I do have other sources of information and I probably agree in general that AI companies are doing pretty shady financial shenanigans. I even think it's possible that openai is in real trouble. But I don't extrapolate that into "AI is useless", which is what he does.
Already many comments saying this but Ed Zitron is not a person I trust. He's been so biased and wrong on stuff that I consider very obvious and trivial that his complicated analysis with numbers and trends I can't just take at face value.
As an example of obvious wrong things, I remember a tweet of his where he was mocking people talking about agents and agentic coding. He was kind of saying that he was going crazy as agents weren't a thing really and people talking about them like they were real. Something like "agents?! what agents?! these guys hear themselves?!". The answers were full of hundreds of people patiently explaining how they were actually _using_ agents. This wasn't in 2023, it was a couple of months ago.
He just has an audience and an engagement target. His objective is clicks, not informing.
I don't think this works, and other comments have also pointed out the same. You open a position, you receive 200 CVs. Ok, then what, get them all to come in for a couple days work? A company that needs only one position can't possible handle that.
Now you're amazon/google. You have 200 open positions in a certain site/country. You receive 10000 CVs. Same problem, different scale.
So ok, you need to filter CVs, mmm, which sucks, right, so perhaps we do a screen interview? mmm, low signal, maybe....
Truth is, most people who interview people have no idea how to do it. I know because I've done hundreds and nobody ever trained me or explained to me how to do it properly. Over the years I've seen so many people on both sides of the table that I developed a method and I got semi-functional at it but so many people doing interviews shouldn't that bad experiences should be almost expected by now.
Even if we consider what they pay for colossus high (I've no idea, I haven't looked at the numbers), wouldn't this a bit be different from "investing in infrastructure"? They're not building the DC themselves, they're just renting, they can scale down to 0 anytime and not have pressure to recover costs, they don't have debt on the HW, etc.
Both these maps of styles have most of their richness in the past. Modern era is mostly stagnation. I suppose it would be different if I had a map of hip-hop?
I feel there are like 50 load bearing assumptions in this piece of fiction that are dubious at best, definitely speculation. When you put all of them together and chain them in a product of probabilities it becomes tech bro wish fulfilling fantasy. But as usual this is expressed with total confidence and inevitability. This is a perfect encapsulation of all that is wrong with rationalists, TPOT, etc. IMHO.
I'll just suggest that you track your predictions and "update your priors" once they start domino falling.
I use claude code everyday. Most of my friend circle have a CC max subscription and we talk about and use AI all the time. Not a single one has installed openclaw yet.
For me personally I don't see that it can do a lot of things that CC/codex doesn't do and that _I_ want to do. Also I'm concerned about security.
For a while I wanted some agent I could tell what to do in my PC at home from my phone, so I just vibe coded a web site that can start CC and I used tailscale to secure it.
I just learnt that em dash in a mac is option+shift+hyphen. I hadn't realized it was so difficult and inconvenient, and in the end it looks so similar to the other one: — -. Thin value. It's no surprise humans barely use them. Then why did it get picked up so much by AIs? I'd have imagined it's not in a lot of training data. Print media practices I guess?
Top 200 that work partially in public. A good example is Mitchell Hashimoto. Works open source, uses AI a lot and writes about it. Next gen AI will learn from the lessons people like him share
I mean, having a curated dataset of the works and posts of the top 200 coders in the world (at least the public ones) is not very difficult. I’m sure these articles like the one in OP will be very easy to mark as “high value training data”. I think you’re letting your bias blind you
>Hmm... How will it filter out those by the dumbest coders in the world?
if you know, and I know, and the guys at openai and anthropic know... not a big leap that the models will know too? many datasets are curated and labeled by humans
The best thing about this is that AI bots will read, train on and digest the million "how to write with AI" posts that are being written right now by some of the smartest coders in the world and the next gen AI will incorporate all of this, making them ironically unnecessary.