csh0

Hi all! I’m csh0. I’ve worked as an SRE for the last 5 years. I now manage the team I started my career on.

I have a resume filled with all the right kinds of words and projects you’d expect if you’d like to look it over, but I figured I’d make a more personal appeal here.

I’m familiar with the standard array of things you’d expect of an SRE: Cloud, IaC, Git(lab), Monitoring, Observability, etc. I’ve done full stack development for applications and tooling to support my teams, but what I’m really good at, and what I’ve focused on for the last few years, is building platforms that delight developers.

I care a lot about developer experience, I care a lot about building development platforms that scale, and that help developers go fast, safely. In my experience that is more important now than ever.

I possess good technical judgement and can operate with a high degree of autonomy.

Open to both IC and leadership roles. I’d be happy to talk more about myself and my background.

Location: NYC Metropolitan Area

Remote: Preferred, but also open to hybrid in NY

Willing to relocate: No

Technologies: see above

Résumé/CV: on request

Email: in profile bio

Very cool. I suspect you guys will get scooped up by a bigger player working on smart glasses soon.

They are out of stock right now, but in normal times Nvidia does seem to sell their “founder edition” cards direct to consumer.

https://www.nvidia.com/en-us/geforce/graphics-cards/50-serie...

I get how you could misread it, given his use of the word surreptitiously, but OP is not suggesting that the state is testing the products on consumers, but instead that they occasionally test the products to identify what they contain and what is being sold.

I think the difficulty for many people is not imagining a path to post-scarcity, per se, but instead that they have been given no commitments by their government or business leaders that they will get to benefit from it, after it is achieved.

It’s one thing to say something like: AI will enable lights out manufacturing and replace virtually all employees in that sector.

To which those employees respond: What will happen to us?

And they are told: things will be great, you won’t need to work in the factories any longer, and we will have no shortage of goods.

Do you see the missing link there? They might ask: “What happens to those goods? What happens to me? Do I get given the goods? Are the goods sold and then I am paid a stipend? I’m hungry. Will I still need to buy things? Okay, if so, but I have no money because I was fired.”

Food companies have used glue or other substances in things like cereal ads (in place of milk) for decades. Unfortunate.

This is a fantastic application of an LLM. What’s great is that the LLMisms fold neatly into “dumb but lovable sidekick”.

So even when it chokes or stumbles on a command, the kind of frustration the user expresses when correcting it feels natural and part of the game even.

Texas is not a monolith. The people who are decrying this action are local conservation groups and activists. These are not necessarily the same people who voted to put the current administration in power.

To simply write this off as “they deserve it” would be a mistake, and is unproductive.

This exists for the electronic music scene, Radiate.

I literally had a non technical family member ask me last week about “AI”.

He began the conversation by saying: “so as far as I know there’s two kinds of ai, open ai and closed ai…”

This speaks to your point, the people are confused.

This is already underway.

My dog often gets misidentified as a restricted breed. This used to make apartment hunting difficult because, occasionally, the property manager would visually ID the dog breed as banned, I’d have to go to the vet and get paperwork, potentially gene testing, arguing she wasn't, it was a whole thing.

But, recently, the apartment I moved into had an online portal where I had to upload a photo and it would identify the breed to determine if it was approved.

I correctly assumed the portal was using an LLM for this purpose. I wrote a script which submitted different photos of my dog to the major LLM providers until it found a photo which all the LLMs would identify as the correct breed.

I simply submitted that photo and, as expected, passed with flying colors.

Interest has risen in tandem with the popularity of LLMs. I have worked on these sorts of things as part of internal tooling.

Sometimes these strategies are used to provide LLMs with a greater understanding of your codebase to improve code generation results.

Additionally, techniques which allow humans to visualize the shape of code are being explored as engineers become less familiar with the specific implementation.

I majored in both CS and Philosophy. I think the very first paper I submitted for my phi 101 course was on the topic of machine ethics.

AI labs, I await your offers ;)

The notion that Mussolini made the trains run on time is a myth, a bit of state propaganda.

“Before the Freedom of Information Act, I used to say at meetings, 'The illegal we do immediately; the unconstitutional takes a little longer.' But since the Freedom of Information Act, I'm afraid to say things like that.”

- Henry Kissinger

In a similar vein, in the pre-LLM era I gave a few interviews where the candidate was asked to screenshare while solving the problem. The candidates were allowed to use any resource they wanted from the broader internet.

I often found that I learned more about the candidate by the way they phrased their Google searches and how they selected and explored sites for information than from the actual solution they produced.

Friends and family who are largely non-technical have referred to ChatGPT as Chat for at least a year.

I admit I was struck when I first heard someone use that shorthand in conversation at a party. It was the moment I knew that for better or worse LLMs use had permeated deep into regular life.

This is interesting, but what is the advantage of running a proxy to achieve this over pre-commit hooks?

There may not be many, but these people do exist.

I watched someone ask Claude to replace all occurrences of a string instead of using a deterministic operation like “Find and Replace” available in the very same VSCode window they prompted Claude from.

It’s all part of the game it seems.

The US bugged the “toilet partitions” of the Russian embassy in D.C. during its construction[0] and the FBI built a tunnel under it for espionage purposes in the 80s[1].

[0] https://www.cia.gov/readingroom/document/CIA-RDP90-00965R000...

[1] https://web.archive.org/web/20100514112651/http://articles.o...

I think it’s fair to say that diplomats appear to be appointed under a two-faced system.

On the one side you have some diplomats who really are quite capable career foreign policy wonks, appointed in a manner which appears to be meritocratic.

On the other side you have folks appointed, like you mention, as a kind of patronage.

Traditionally, it has been that the softer counterparties (Friendly countries, European allies, small island nations, etc) are staffed with patrons while the more difficult or geopolitically sensitive relationships are manned by professionals, but this is certainly not always true, and one can find many counterexamples.

Your quoted paragraphs are not discussing the same trend, your first paragraph is referring to drinking habits in those 65 or older.

The second paragraph is discussing drinking habits for all US adults.

This is interesting, do all major airports have the ability to set up this cable system if needed? Or is this unique to PDX, or perhaps only those airports which are near where fighters train.

I looked it up since I was also curious. There’s this story making the rounds right now in FL: https://youtu.be/ia1qP1DmJdg

It seems as if these are developments which didn’t get completed.

This reads like a fluff piece for Goldman Sachs and the startup Cognition. It’s running in a bunch of outlets concurrently.

Goldman gets to appear as being on the cutting edge by incorporating AI. The startup behind the agent GS is using, Cognition (who is seeking a $2B valuation), gets to be seen as effective and bolster their name recognition.

Paul Graham’s “The Submarine” article seems relevant: https://www.paulgraham.com/submarine.html

The “AI Software Engineers” at my company, whose applications and workflows I often support as an SRE, by and large build things with LLMs rather than train or create them.

What they build ranges from product features to internal tools. They make heavy use of LLM vendor inference APIs, vector databases, etc. They end up writing a lot of glue code and software to manage the context of the LLM, query for data, integrate with other systems and so on. They also develop front-end interfaces for their applications.

Only recently have they started to, lightly, explore the idea of training LLMs with managed services like AWS SageMaker.

All this is to say that, the “AI Engineer/SWE” title will probably represent vastly different things depending on the technical sophistication of the organization.

If someone told me they were an AI Engineer at OpenAI I’d be more inclined to expect their role to be more fundamental, elsewhere, not so much.

Perhaps you’re thinking of Ocracoke, North Carolina[0]

[0]https://www.bbc.com/travel/article/20190623-the-us-island-th...

I have used Netlimiter on Windows in the past. It seems to have comparable functionality to Little Snitch

FWIW, eBay no longer works like this. When you put up a listing there’s now an option, enabled by default, to require payment at checkout.

This situation may still occur if you are taking offers on an item. In that case the buyer has to pay within 48 hours of the offer being accepted or the listing will become eligible for re-posting.