hi @CloudflareDev @Cloudflare I've been playing around with the AI Search solution in Beta and it worked super well to make a RAG chatbot for my partner's student as a self study tool!
Trying a new project and it seems like a UI change since then has broken some things though.
@philipreichen@atmoio If you ask most folks about “prompt engineering” they’ll tell you the goal is to capture the technical details about the system you want as precisely as possible. Which is what programming already was.
If anything it’s a layer of abstraction down, don’t kid yourself lmao
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really).
It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely.
The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture.
We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying.
I worry.
@UnfairMarket And a follow-up, once you can reliably (or at least confidently) spot these setups how time-sensitive are you entries/exits? In Canada algorithmic execution of trades is illegal so I’d only be able to identify setups automatically but execute manually 😅
@UnfairMarket On paper I get the premise of what you’re saying about SMA outfits and price coordination but I wanted to automate the gathering of this data myself to see these relationships. Is there a consumer-grade source you’d recommend? May I ask what you use?
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