nigh everything I posts fits into this category!
Reply (4)
Great! Would you like me to add you as a writer in What I'd like to see in SHM?
Reply (1)
what I'd like to see in Seed Hypermedia is the ending of hermeneutic marginalization, which would make your invitation moot
Reply (2)
Gabo H Beaumont May 5, 01:03(edited)
Communities must produce true statements after an argumentation process. Those statements are true for them, not necessarily for other communities.
The deep human connection that bidirectional links provide, will make those statements closer to a general true, but still each community will have its own truth because each community has each own goal and purpose.
'units of meaning uniquely identified with DocID+BlockID'
… that's 'which doc?'+'which block within that doc?'
…this is turning into a place to stash comments… now via eric:
Google Search has used machine learning since the beginning! Very different from the sort of agentic/LLM "AI" that we usually talk about in 2026.
But yeah, I definitely think we should develop a sort of competitor to PageRank for our search engine. It will use traditional search infrastructure though.. the indexer is asynchronously updating an index which can be referenced very quickly at search time
starting to reply:
Spent ~10 minutes looking for this following comment… gave up & found it another hour later, btw.
thought it's probably implied, reading this found comment now, it doesn't literally point to 'reconfiguring the display layer' (which is what I had/have in mind) - but there is enormous (I would argue) value in establishing a 'side by side' baseline for display which exhibits what's unique (and arguably ideal) about this protocol, as well as surfacing the foothills of the types of process based designed 'selection' (like in a competitive/darwinian sense) environments which deepen the utility of what 'search' is trying to discover…
Hence, the following ought not to be treated as any kind of plan to address a 'known' or understood obligatory product feature:
Google Search has used machine learning since the beginning! Very different from the sort of agentic/LLM "AI" that we usually talk about in 2026.
But yeah, I definitely think we should develop a sort of competitor to PageRank for our search engine. It will use traditional search infrastructure though.. the indexer is asynchronously updating an index which can be referenced very quickly at search time
This is a … daughter(?) comment on my previous intentionally, because they are deeply intertwined subjects & I'm not clear how clear this is to you, dear reader.
Merging?
and eric, in reply to horacio - (and I can only embed one comment at a time? why not a selected 'flight' of them [though a Nelsonian 'flight' might not be the term since they're already structurally connected in the first place & I know what he means by 'fight' would be something bringing together some selection of things of different origins & making of that some kind of maybe if not only linear, but new uniquely structured thing… blob])
I wonder how a user is supposed to figure that out, and why they would need this "merged" information in the first place! Lets please consider the user story and maybe that will help users figure it out
It was very confusing to see this because I don't remember the discussion or project where this was introduced 😁
H's reply:
can you both stop paying attention to this? this is distracting me from making the whole thing work!
when is ready I will let you know. we can change the name of course. @Untitled Contact I hope you know this!! the profile name is the LEAST most important thing on this now
wrt his view of this project:
Structuring and ingesting information has been extremely hard. Agents are making it easier, even joyful.
Maybe Agents' help was the missing block for the Human Augmentation and Connection Process.
so what's missing is attention and patience?
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Blocks are units of meaning uniquely identified with DocID+BlockID.
The idea is that different block sequences and Views should make different reasoning structures to comprehend the reality better.
This was a long term dream! But with AI should be possible within weeks!