Lunt | Databricks Eng (Solutions Architect, FDE) | Remote, US Only | Full time or full time contract | 120-140/hr (depending on exp, ~240-260 FTE)
I have ~10 opportunities for Databricks engineers as subcontractors to help large Databricks customers migrate to the platform. The Solutions Architect roles are heavily data-pipeline focused, and for the FDEs (Forward Deployed Engineers) want Databricks experience plus full stack experience to stand up Databricks apps for customers.
These opportunities vary from short to long term (though shorter term is probably ~6 months), and are full time even on contract. If that's you, drop me an email k at lunt dot co -- a PDF resume and phone number is the fastest way to proceed. Several of these need to start as soon as Aug 1.
not dot com.
If modern software is almost entirely just a DB with a thin backend and some kind of front end, why not have claude be all buy the DB.
this is a standardized back end so you can build a CRM, or an analytics engine... think a very basic local supabase, but with for claude as the whole means of interface.
As a person running a network of CTOs that meet in person and interact very human-ly.... I agree and see the value now more than ever in human interaction.
(to be clear, i do a lot of things, but this is one of them, and boy is it wild how important it feels)
The number of stories I’ve read in the last 15 years that amount to: “desperate after years of trying everything, we bought a blender and ground up my wife’s shit and put it up my butt, and within a 24 hours I was totally fine”
My understanding was that psychedelics have proven to be effective at opening up a “critical period” where a brain can rewire itself like when in childhood. Wonder if this is related.
Yall want to see instant? Check out chatjimmy.ai blow your mind. I’m not affiliated.
But the things it unlocks in a product I’m building are mind blowing. Millisecond inference even on much older models will change the whole game. Enough to run inference on every. Single. API call. Without notable disruption. This sh*t is wild.
The University of Toronto research team, led by Chris S. Lin and Prof. Gururaj Saileshwar recently disclosed GPUBreach (https://gpubreach.ca) a new class of attack targeting NVIDIA GPU drivers. The work highlights how fault injection techniques such as Rowhammer can be combined with GPU memory management behavior to achieve privilege escalation, even in environments with protections like the IOMMU enabled.
This article is about how we, at Stealthium, reverse engineered what was going on and explain this new kind of attack.
You're right that I say both "above and not in place of" and "MCP needs to die"... I should that (but cant edit anymore).. it's unclear.... someday I see MCP being replaced by something else. But it's not my intention to completely replace MCP, but to solve the problem above it today.... I think that will be sufficient for today.
I've bene working with a GPU security company for the last few months... I can tell you that neo clouds (generally) do not see security as a high priority—or often, even their responsibility. Many do not have hte ability to even know if your GPUs have been compromised and they expect you'll take responsibility.
Meanwhile companies think the clouds are looking at it.... anyhow. it is a real problem.
Give me automatic plaintext syncing (hell sync to GitHub) and no other network interface and it’s perfect. Otherwise I lose my three weeks of work like my mom lost writing her masters thesis. I don’t want to go back to that.
Very location dependent. But when you learn to write the characters you understand the variants differently. They look like random strokes to an untrained eye. But they’re not. I’m not sure if that makes sense.
Take a lowercase a in English for example. This font writes it differently than a child. Or in cursive. Or probably than you would write it. But you recognize all of them and don’t really think about it.
Have yall seen tensorlake? I’m curious how this compares to a model custom built for the problem. My guess is it can be as good. But can it be as efficient?
disclaimer: I do not work for tensorlake—but i know the folks behind it.
I have ~10 opportunities for Databricks engineers as subcontractors to help large Databricks customers migrate to the platform. The Solutions Architect roles are heavily data-pipeline focused, and for the FDEs (Forward Deployed Engineers) want Databricks experience plus full stack experience to stand up Databricks apps for customers.
These opportunities vary from short to long term (though shorter term is probably ~6 months), and are full time even on contract. If that's you, drop me an email k at lunt dot co -- a PDF resume and phone number is the fastest way to proceed. Several of these need to start as soon as Aug 1. not dot com.
If you're deep in Databricks, hmu.