@patrick_kuhnke_ More than 10x once you get the patterns down. I agree.
And 10x products? Shallow thinking. Is slashing the number of products. For example. Half the Mac store is useless now.
Window manager? Space optimizers? Inbox cleaners? Claude code takes care of it.
@hendmere@RoundtableSpace Yup.
It’s going to be great. We’ll see better stories, art, mechanics, etc.
Pushing graphics is a “capture the masses” play. But graphics are good enough, we don’t need triple A graphics, we want great games.
The games we've long wanted, which didn't exist because they'd cost several times more to make than they'd earn back, will soon become possible. As will the games developers wanted to build, but couldn't with the resources available. It'll be a new golden age of gaming.
There's going to be a 5 year period starting in 2027 where the technically inclined are making their own polished games to play fully from scratch..
Putting themselves, their own inside jokes, friends and family into the games too.
@RoundtableSpace At some point, you can make great games with only 10 devs in a studio. AI will help them up so much. Maybe the game prices will go down, too cause of low production cost
Sapling is an iteration on git.
And when we move from fully distributed to a centralized server… we’re talking about something very different, that I would not call better.
Whatever this Scion thing turns out to be, it’s likely good for agents no doubt but git was pretty good for humans.
Day 9/
We've rolled out optimizations to how we store state on disk for the chatgpt & codex desktop app that should reduce the amount stored on disk by 60%. Small ship but we've heard enough feedback about power users running out of disk space.
@roblabonne No.
A very small percentage of people could prompt even a small todo list app into existence.
Even when it comes to product, good software engineers are lost on how to manage ui/ux in user friendly ways.
Focus Groups and hands on marketing research are still very relevant.
@varun_mara@davidfowl Yes.
Agents understand and build quickly because it’s a new protocol and purpose built.
Just building a CLI you can get some haphazard legacy BS that wastes tokens.
Yeah.
I have a feeling of “fake” productivity with OpenAI models. They work for hours on a goal but never seem to get the thing all the way there.
ADHD type models distracted by every little thing.
Great for short attention span stuff and research. I’d say world class on things 30 minutes or less with no steering.
Once you go longer and start steering you’re fucked.