Aaron Erickson
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aaronerickson.bsky.social
Aaron Erickson
@aaronerickson.bsky.social
Senior Engineering Manager and Founder, Applied AI for DGX Cloud, ex New Relic, ex Salesforce, ex ThoughtWorks. Views mine, not employer.
This is kind of how malignant populism (aka Idiocracy) always tends to go. Cutting off your own dong to own the libs.
February 2, 2025 at 4:35 PM
The good news is this bodes well for personal chicken coops once the price of an egg reaches the price of a bitcoin and a chicken becomes like a GPU
January 23, 2025 at 3:00 PM
It’s dumb as shit on X and it’s dumb as shit here.
January 22, 2025 at 6:19 PM
Wow, checking that out! Might see if it can do something interesting with scaled test time compute.
January 6, 2025 at 11:06 PM
Two narcissists married to each other can make it work, but I doubt Trump or Musk are willing to have wild make up sex with each other.
December 29, 2024 at 8:19 PM
Honestly, seeing guys like Greenwald and such go full horseshoe is probably the canary leading to some of these idiots going full MAGA just to accelerate thinking, delusionally, they will somehow emerge from "the revolution" victorious.
December 29, 2024 at 7:33 PM

What good is a corner office if you can't walk by a bunch of small cubes on the way to it where all your worker bees are busy filing your TPS reports?
December 24, 2024 at 10:49 PM
That’s a funny way to say bottle of pee
December 15, 2024 at 12:55 PM
There is going to be a lot of bullshit being sold in the next 2 years with the agent push, and a lot of careers are going to suffer when uninformed buyers spent lots of political capital going all in on broken platforms.
December 5, 2024 at 6:15 PM
I beg... plead... please, if you are buying one of these, do some real research. Ask your real engineers what these things do, and take them seriously.
December 5, 2024 at 6:15 PM
LLM demos are easy, prod is hard. Lots of startups now seem like they got a VC to see a demo, but did almost zero due diligence to see if it got part the hard technical parts that actually make or break success.
December 5, 2024 at 6:15 PM
Its stupid stuff like access control, observability, getting different kinds of memory to work, managing each LLMs context window, etc.
December 5, 2024 at 6:15 PM

It is things like understanding that having a set of agents that work with a common data source is 10x easier than very disparate sources where you need to translate terminology between domains. It is getting LLMs to understand that field X meant A after 2020, but meant B prior.
December 5, 2024 at 6:15 PM
It is conversion of a subquestion to a contextually relevant query that understands your ubiquitous language (i.e. "what nodes are zombie nodes in our data center" - getting questions to use jargon effectivley is an actual hard problem).
December 5, 2024 at 6:15 PM
The hard part of agents isn't the software glue to connect them. It's the prompts that allow a classifier agent to know what a specific agent can do and how to interpret the data.
December 5, 2024 at 6:15 PM
Convert them to nuclear and WV becomes the Silicon Hills for running training jobs on the us-west-virginia-42 cluster
November 30, 2024 at 3:07 PM
I remember these guys from HS. They would break things for attention then, and only when nearly expelled, cry to the principal.
November 30, 2024 at 2:51 PM