You have to try Codex. My friend's been trying to convert me for months and he was right all along: with Codex you don't GSD or whatever prompting metaframework. You rarely (I actually haven't need to do this at all) need to ask it to retry because its implementation is bugged: it literally just works first try.
Maybe that's because the harness maybe (not sure; haven't looked at their source code) has it baked in? Doesn't matter; the point is that it works.
Now, the one thing I heavily dislike is the UI it generates...it doesn't seem to realize that matching UI patterns with the existing codebase is quite important.
Yea this actually has been going viral when I posted it on Instagram. Maybe I'll need to post this on HN in a different time or wait for someone else to organically post it :)
They’ve basically positioned themselves as a workplace app for years now. A fully integrated project management and documentation really is just asking for AI to be part of it
I think it does all of this really well... Especially as someone coming from the dystopia of permissions management that is Atlassian, I really like notion.
and I don't think they ever will unless they're highly competitive (hopefully that price they have stays? at least for users)
I was thinking of building this exact thing a year ago but my main stopper was economics: it would never make sense for someone to use the API, thus nobody can make money off of zero demand.
I guess we just have to look at how Uber and Airbnb bootstrapped themselves. Another issue with my original idea was that it was for compute in general, when the main, best use-case, is long(er)-running software like AI training (but I guess inference is long running enough).
But there already exist software out there that lets you rent out your GPU so...
People underestimate how efficient cost/token is for beefy GPUs if you are able to batch. Unlikely for one off consumer unit to be able to compete long term.
I'm planning to set it up as a auto-marketing and user acquisition agent, but I'm also backpedaling on the idea since (1) people can probably easily tell that it's AI (2) that will produce negative reputation as a "slop company" (3) that's feeding into the dead internet theory
So in short, there's not much to do. I don't really have tasks I can just "hand off to OpenClaw"
You can export as plain text to a proper document formatting app. Quillium is designed for writing process and writing process only, similar to Scrivener’s philosophy.
It took me half an hour to create this product, which was developed entirely by AI.
I simply said, “Redesign the page, using the VS Code style as a reference.”
I really wonder about this. Is it so bad that they cannot even disclose it? not even an optimistic lie in the ballpark of reality? it's not like they haven't been found cooking the truth repeatedly.
I look at the output of Kimi and the costs of running inference on it that i can replicate, and it isn't that bad, although admittedly i don't have to worry anywhere near as much about scaling it and about having to dedicate large amounts of compute to research and distillation on the back end. It's true that it's perhaps a step behind SotA vs January's Opus or current Codex, depending on what you do. But not by a lot. In fact it's leaps and bounds superior to the current subscription API experience. Together with GLM, Qwen and Minimax they are an amazing backstop just the way they are right now.
With all the layers of obfuscation it's hard to even know roughly how many i/o Opus tokens do Claude subscriptions pay for. They'll give you some flippant arguments like "people were not looking at thinking so we're not showing you anymore" with a straight face. However podcasts still insist Anthropic are "winning the AI war" (??) it really makes me wonder because in no metric I can see them as providing neither best value nor best quality, and let's not get started about consumer experience.
My intuition is that things must be really bad so they're willing to pull the kind of moves they're pulling right now. They're speedrunning people into understanding how important it is to be able to run your own generative AI infrastructure for reliability, thus becoming a very fancy but trustless throwaway solution factory.
I wonder if OpenAI will turn the screws similarly if/when their pockets start to dry up at a certain pace.
tldr: they are trying hard to change S&P500 inclusion rules so that they dont have to wait 12months after going public so they can list mega-ipo asap in force index funds to buy a portion (presumably before revenue exponential growth settles and profits start tanking due to opensource catching up). They know something that we dont.
btw if they are public and part of S&P500 then potentially they'll be a candidate for a bailout.
Maybe that's because the harness maybe (not sure; haven't looked at their source code) has it baked in? Doesn't matter; the point is that it works.
Now, the one thing I heavily dislike is the UI it generates...it doesn't seem to realize that matching UI patterns with the existing codebase is quite important.
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