I totally support you guys so don't take it as a dig!
But isn't this mindblowing that while you were building and launching, Opus 4.8 launched and made a bunch of things you mentioned above irrelevant? for example, memory between sessions is way better, dynamic workflows will spin up a ton of agents to do work in parallel, and the ecosystem must provide better apis to be relevant (salesforce, uipath goind headless).
Again always support startups so cheering for you, but man things are changing so fast!
The current conflict resolution is fairly simple: always trust humans, and trust recent human info more than old human info. We're very aware that as the knowledge system gets more complex, we'll need more sophistication, including:
- Human-in-the-loop verification
- Role-based ranking, i.e. be more skeptical when an intern contradicts the CEO
Unlike many other memory systems, Hyper never actually deletes memories. It constantly reranks them based on confidence, which factors into how they're retrieved. So every statement has a full history and system of record for how it got there, and you can trace (with attribution) why Hyper gives the answers it does. If there's something that Hyper misses, we provide tools in-app and in-terminal-plugin that let a human explicitly correct what Hyper knows.
1. Have you measured the value provided by the knowledge graph layer over straight enterprise search (e.g., https://www.glean.com/) Benchmarks, please.
2. How do you deal with conflicting facts? In tech, the new is constantly replacing the old.
3. Is knowledge extraction real time? How fast is it in general?
I totally support you guys so don't take it as a dig! But isn't this mindblowing that while you were building and launching, Opus 4.8 launched and made a bunch of things you mentioned above irrelevant? for example, memory between sessions is way better, dynamic workflows will spin up a ton of agents to do work in parallel, and the ecosystem must provide better apis to be relevant (salesforce, uipath goind headless). Again always support startups so cheering for you, but man things are changing so fast!
Congrats on the launch!
How are you handling cases where multiple sources of truth contradict each other?
Does Hyper assume best guess or is there any human in the loop verification?
The current conflict resolution is fairly simple: always trust humans, and trust recent human info more than old human info. We're very aware that as the knowledge system gets more complex, we'll need more sophistication, including: - Human-in-the-loop verification - Role-based ranking, i.e. be more skeptical when an intern contradicts the CEO
Unlike many other memory systems, Hyper never actually deletes memories. It constantly reranks them based on confidence, which factors into how they're retrieved. So every statement has a full history and system of record for how it got there, and you can trace (with attribution) why Hyper gives the answers it does. If there's something that Hyper misses, we provide tools in-app and in-terminal-plugin that let a human explicitly correct what Hyper knows.
Hey HN! Kanyes here, one of the cofounders of Hyper. Here all day to answer any questions :)
Tried it, none of the integrations work, they do not connect, notion, slack, etc... I think you probably posted this a bit too soon, IMHO. :/
Very strange, haven't seen this before. Could you shoot us an email at founders@heyhyper.ai with some more details about what you're seeing?
Congrats!!
Thanks Nils!
congrats!
thank you !
Congrats!
Thank you! Very hot space right now and excited to be building in it
So it’s just RAG but with AI extracting slop facts in advance and also inserting them into the RAG?
You aren’t even paying for proper free text search, you’re using a free plugin.
It honestly disgusts me that slop like this gets funded when there is an entire world of things that need building.
1. Have you measured the value provided by the knowledge graph layer over straight enterprise search (e.g., https://www.glean.com/) Benchmarks, please.
2. How do you deal with conflicting facts? In tech, the new is constantly replacing the old.
3. Is knowledge extraction real time? How fast is it in general?