Viewing profile — kendallgclark
kendallgclark
HN member- Joined
- Mon, Sep 29, 2014, 6:06 PM UTC
- HN karma
- 130
- Public activity
- 86 items
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About kendallgclark
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Recent public activity
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Comment #48984306
PlatypusDB is an agent-native, bitemporal event database: Gleam (OTP) control plane over a Zig data plane, in-process with WunderOS. Custom-built, not assembled, for agentic worklo…
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Comment #48831211
Thanks. Gotta be the most often ignored rule on this site. But still.
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Comment #48831127
[flagged]
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Comment #47397823
Thinking about data in terms of energy basins, frequencies, and SNR is different than what I’ve done before. But pushing a signal below the noise floor is analogous to tombstoning …
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Comment #47372441
Thanks for the question. Inlike vector databases that append embeddings to an HNSW graph, my working memory substrate natively supports mathematical forgetting. I use a Squelch pri…
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Comment #47372300
Well probably this recent piece by Kanerva. https://arxiv.org/abs/2503.23608
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Comment #47372291
Thanks. Yes all spaces are crowded. IMO the value here will be quasi brain-like operations on data that are fast and efficient. We overuse LLMs which aren’t too fast and very ineff…
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Comment #47356610
State of the art for HDC/VSA? Or for agentic memory?
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Looking for Partner to Build Agent Memory (Zig/Erlang)
I’m working on a purpose-built memory platform for autonomous AI agents. Right now, agent memory is stuck between two hohum options: RAG (which loses relational topology) and Graph…
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Comment #44294945
Not at all. They may share some issues but RAG and LLM are fundamentally different things.
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Comment #44283912
LOL. No. All me, hater.
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Comment #44283907
Fixed. Thanks.
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Comment #44280206
That might be RAG’s benefit if LLMs were more steerable but they can be stubborn.
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Comment #44073265
He didn’t write as if he hated liberalism. Maybe he did. But in his work you get deep, principled critique from the basis of epistemology and selfhood. Lenin wrote like someone who…
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Comment #43818485
Not really competitive with Stardog given our leading LLM integration with Voicebox. 85% pass@1 to exit POV with new customer.
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Comment #43817532
The use case at NASA isn’t even new. We built this precise thing in 2008. All standards-based. See https://www.w3.org/2001/sw/sweo/public/UseCases/Nasa/ for a public case study. Th…
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Comment #42905632
That’s tough. Not sure what that has to do with Stardog. Biggest companies in the world rely on it daily and you say it’s trash. I couldn’t find an email from you using it since 20…
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Comment #42893804
OWL ontologies making a big comeback as part of Knowledge Graph groundings for LLM outputs. And several SPARQL and RDF knowledge graph startups are VC-baked and thriving. The world…
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Comment #42893766
You seem nice.
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Comment #41571556
https://www.stardog.com/blog/skathe-is-a-private-gpu-cloud/
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Comment #41571553
We do this and we aren't huge; and we did it for two reasons: world-class UX for our customers and world-class unit economics for ourselves.
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