tuckerconnelly's comments

Hey I run a little recruiting startup, and we have a few roles at fintech companies in NYC--wanna send me your LinkedIn + resume?

Yeah based on my in-laws, Chilean seems understandable, though they tend to speak fast.

Argentine Spanish is the strange one, due to the heavy Italian influence.

I can offer one data point. This is from purely startup-based experience (seed to Series A).

A while ago I moved from microservices to monolith because they were too complicated and had a lot of duplicated code. Without microservices there's less need for a message queue.

For async stuff, I used RabbitMQ for one project, but it just felt...old and over-architected? And a lot of the tooling around it (celery) just wasn't as good as the modern stuff built around redis (bullmq).

For multi-step, DAG-style processes, I prefer to KISS and just do that all in a single, large job if I can, or break it into a small number of jobs.

If I REALLY needed a DAG thing, there are tools out there that are specifically built for that (Airflow). But I hear they're difficult to debug issues in, so would avoid at most costs.

I have run into scaling issues with redis, because their multi-node architectures are just ridiculously over-complicated, and so I stick with single-node. But sharding by hand is fine for me, and works well.

What are your gripes with GCP? I've been using it for every project for a while, and am super happy with it, especially GKE.

You don't see yourself hiring help for:

* Keeping things up and running

* Building the systems that the AI interfaces with

* Supporting any large contracts

?

In my experience, one enterprise contract with specific requirements basically requires you to hire a dev to support them.

My counterpoint: if your product is simply a ChatGPT wrapper, you have no moat. Whatever is complicated enough and is actually making money, and you feel the need to test it and make sure it keeps running, that's your moat, and that's what you're going to want to hire human help for once you actually make some money.

Message queues are difficult to maintain.

Webhooks is the best solution IMO.

There's value, but it's too expensive, too slow, and too unreliable right now to be feasible from a business perspective.

Chain of thought takes time to generate all the characters. If you do a chain-of-thought for every action and every misstep (and you need to for quality + reliability), it adds up.

I built an AI-agents tech demo[1], and am now pivoting. A few thoughts:

* I was able to make a simple AI agent that could control my Spotify account, and make playlists based on its world knowledge (rather than Spotify recommendation algos), which was really cool. I used it pretty frequently to guide Spotify into my music tastes, and would say I got value out of it.

* GPT-4 worked quite well actually, GPT-3.5 worked maybe 80% of the time. Mixtral did not work at all, aside from needing hacks/workarounds to get function-calling working in the first place.

* It was very slow and VERY expensive. Needing CoT was a limitation. Could easily rack up $30/day just testing it.

My overall takeaway: it's too early: too expensive, too slow, too unreliable. Unless you somehow have a breakthrough with a custom model.

From the marketing side, people just don't "get it." I've since niched down, and it's very, very promising from a business perspective.

[1] https://konos.ai

While X's main use case works, I just tried to run some ads there.

When trying to upgrade to verified org: "An unexpected error occurred"

When trying to change my display name: "An unexpected error occurred"

When trying to run an ad: "Awaiting verification" for a week

Contacting support through messages: No response

Finally finding a way to submit a ticket: 3 day response time with a standard response that didn't resolve the issue.

Responded to that ticket and haven't gotten a response in days.

I don't think they're operating at the same level as they used to :)

How does 0% interest rate actually affect this though? Are that many companies actually funded on debt now? Or are are sales down because their customers were purchasing with debt?

Cuphead should absolutely add a Mickey Mouse DLC.

I just visited a few days for a surgery and this seems pretty accurate.

The food weirdly was the same at every restaurant, regardless of the cuisine: super oiled up. Usually mayonnaise and something pickled on top. Like preparing me to go to a factory for 14 hours.

Nearly every Uber had a sports station on.

Everyone seemed pretty gloomy there. "What's a must-do before we leave?" "Umm...yeah it's too cold for a Brown's game, so not much. Yeah."

A strange obsession with Taylor Swift "bringing money into the city" because of the sports guy she's dating now from Cleveland.

> But when glyphosate encounters certain trace metal ions that make water hard—like magnesium and calcium—glyphosate-metal ion complexes can form. Those complexes can persist up to seven years in water and 22 years in soil.

Isn't basically all water outside hard water? How did public health agencies miss this?

Thank you! I've used the CrossEncoder from the sbert library you mentioned to rank the vector search and keyword search results, but it still doesn't help that the vector search results are odd.

This video suggests Elasticsearch is (or will be) able to blend the two: https://www.youtube.com/watch?v=5Qaxz2e2dVg

I'm hoping meilisearch adds that because ES is a beast of a software package.

Can you provide a larger context length? Looking for a replacement of GPT-3.5 16k model. Might be interested for a higher-scale project.

I’m not the OP, but here’s my reading list: https://tuckerconnelly.com/management-leadership

From Peopleware: “In the 1985 Jeffery-Lawrence study [from the University of New South Wales]…they investigated the productivity of 24 projects for which no estimates were prepared at all. These projects far outperformed all the others…Projects on which the boss applied no schedule pressure whatsoever (‘Just wake me up when you’re done.’) had the highest productivity of all.”

I read 20+ books on management and leadership[1], and none of them mentioned anything like Scrum. I agree it's BS.

[1] https://tuckerconnelly.com/management-leadership

Question about privacy: OpenAI doesn't use API calls to train their models. But do they or Microsoft still store the text? If so, for how long?

Overall, I think this is great, and can't wait for the 16k fine-tuning.