lmeyerov

25 ms·

301.
by lmeyerov 2y ago
*Whoosh* The takeaway from many folks successfully capitalizing on many tech commoditization trends isn't that old one being mined out means game over... ... but this pattern keeps happening, so go and identify the current wave and rid
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by lmeyerov 2y ago
Graphistry, Louie.AI | Full stack, marketing, data science | REMOTE + Washington DC | https://www.graphistry.com/careers The Graphistry visual graph AI platform is used by investigation teams around the world - cyber, misin
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by lmeyerov 2y ago
Relevant, the curves tell a different story: https://db-engines.com/en/ranking_trend/system/Elasticsearch... A big question is New + Churning installs. I'd expect a scary portion of the New, and inherent
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by lmeyerov 2y ago
Louie.ai team talks to a lot of sec teams, and new projects generally prefer OS bc openness, and a lot of migrations. Think MSPs etc. Anecdata, but very real.
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by lmeyerov 2y ago
Yep! And more specifically, 'membranes', which JavaScript was extended with the 'proxy' construct to support: https://tvcutsem.github.io/js-membranes . The types world came into these ideas as scheme&#x2
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by lmeyerov 2y ago
I'm not sure what you're looking for, given how the rest of compliance works? What is the compromise? I suspect people would hate it even more if every company needed to go through an official gov GPDR certification. In the US, SO
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by lmeyerov 2y ago
I'm pretty unclear from your post how GPDR is different from any other compliance standard Overall, many of the 'problems' here seem natural, signs of it working, and even good? Ex - variety: I would expect a bank vs a retail
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by lmeyerov 2y ago
What policies within GPDR are dumpster fires? Likewise, afaict it only applies to doing business with EU citizens... So if you don't want to comply, or not be subject to the fees, don't? I would expect the US to eventually adopt i
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by lmeyerov 2y ago
A formal way to frame this insight is how a formal methods security researcher might: graph-based program verification. A lot of core confidentiality and integrity security problems come down to 'safety property' verification (a n
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by lmeyerov 2y ago
For most US tech startups, it's basically Delaware C Corp, figure out your 83b / QSBS / SAFE, and later, R&D Tax Credit. If profitable early, and not spending back 100% on growth, add in some treasury management setup. Th
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by lmeyerov 2y ago
Interestingly, with the move to IaC, diagnosing at the level of code change makes increasing sense. It's impressive to see their results given that perspective. Not obvious! Seperately, we have been curious about extending louie.ai to
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by lmeyerov 2y ago
Nodejs drove npm's initial popularity but didn't require open governance. 5 years later, npm repo owners incorporated as for-profit and went full on VC mode, didn't make as much money as they wanted, and sold to Microsoft
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by lmeyerov 2y ago
Maybe a good example here is how the mamba team (quantstack) got frustrated with conda speed, splintered off to massively speed up things, and afaict it's now the new default solver. Even better, they seem to have a healthy consultancy
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by lmeyerov 2y ago
After the whole npm VC rugpull + Microsoft acquisition, and OpenAI showing legal non-profit status is toothless marketing to VC-path-entangled leaders, I'm reluctant to cede critical path language infra to these kinds of organizations.
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by lmeyerov 2y ago
I totally agree, and it's useful to play out the shrinking quality gap over time: - Today: Financial companies are willing to pay cloud providers for DB, LLM, & AI services, and want to paper over the rest with internal teams + OSS
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by lmeyerov 2y ago
Yep, and nowadays, banks are already deploying this stuff internally via their own IT teams. They have 1-2 decades of having built up ETL/orchestration talent + infra, and have been growing deals with openai/azure/google&#x2F
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by lmeyerov 2y ago
I wonder if something like arrow's custom extension types mechanism would streamline building novel data representations without full forks? It may highlight gaps in the extension mechanism For similar reasons, we've been curious
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by lmeyerov 2y ago
afaict patchwork also sits on top of treesitter for indexing ? https://github.com/patched-codes/patchwork/blob/b24a3ee07040...
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by lmeyerov 2y ago
It sounds like the indexer is go-specific, while aigen and others are going multilingual via treesitter (I believe) I'm curious if there are any projects folks like for the indexing/embedding step, like Git repo -> vector inde
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by lmeyerov 2y ago
Graphistry, Louie. AI | https://www.graphistry.com https://www.louie.ai | US + Washington DC | Full time | Remote + Hybrid Graphistry pioneered GPU cloud <> GPU client computing for visual graph AI, helping sta
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by lmeyerov 2y ago
Big fan of this direction. The architecture resonates! The base lining is interesting, I'm curious how you think about that, esp for bootstrapping initially + ongoing. We are working on a variant being used more by investigative teams
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by lmeyerov 2y ago
We do 4-6 figures/yr for providers which is normal in our world An enterprise sales team with only 1 customer happens (eg, Mozilla 's search bar), but... That's surprising here, and scary as a sustainable & scalable busin
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by lmeyerov 2y ago
FWIW, we inquired to the reddit sales team about paying for data sometime last year, as we do similar elsewhere for use cases like helping emergency responders, and even though they were launching the program and asking for customers... no
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by lmeyerov 2y ago
We generally stick with using neo4j/neptune/etc for more operational OLTP graph queries, basically large-scale managed storage for small neighborhood lookups. As soon as the task becomes more compute-tier AI workloads, like LLM su
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by lmeyerov 2y ago
Neo4j graph rag is typically not graph rag in the AI sense / MSR Graph RAG paper sense, but KG or lexical extraction & embedding, and some retrieval time hope of the neighborhood being ok GRAG in the direction of the MSR paper add
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by lmeyerov 2y ago
So subtle! The article is on doing that, which is something we are doing a lot on right now... though it seems to snatch defeat from the jaws of victory: If we think about what this is about, it is basically entity augmentation & lexica
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by lmeyerov 2y ago
Everything is securities fraud, so a payola consortium pumping Wiz through funding rounds sounds bad. Wiz is great, so the question is if they are > $23B great, and how they got there. And more so, why would a gov prosecutor bet on this
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by lmeyerov 2y ago
A powerful thing for LLMs is this means (I believe!) the metaobject protocol around most functionality -- introspection/reflection/dependency injection -- can be made quite powerful. So then all of a sudden, the LLM can act on eve
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by lmeyerov 2y ago
That is super cool. A lot of the design work we are doing in louie.ai is the LLM version, where users can talk to / control / extend the system. So more of an OS. But bootstrapping all the way as done here is intense, and proves a
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by lmeyerov 2y ago
Close! Generate the z3 too - as the need is to verify, not test. It can be a direct translation. For all inputs, is the optimization output equivalent. (Bootstrapping a compiler prototype via LLMs is nice though.) One place LLMs get fun her

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