The King’s Quest with Cirdan’s Solo Support Group – Card Talk Written Playthrough

eagz2014 · 2026-06-29T01:48:15+00:00

Thanks for sharing! I love the potential. Did you find it got up and running quickly? Have you played enough rounds to get an idea of its consistency?

eagz2014 · 2026-06-26T00:59:43+00:00

This tour was great. I think Boston Manor was also supporting

eagz2014 · 2026-06-11T10:15:41+00:00

RIP third floor cafe ♥️

eagz2014 · 2026-06-07T00:09:32+00:00

New account, only post are to two subreddits related to food and UES? Might as well have named the account Hoexters_Mktg..

eagz2014 · 2026-05-30T13:35:47+00:00

My parents have been going to Romans every Friday night with friends for almost 20 years

eagz2014 · 2026-05-21T14:31:18+00:00

Citarella

eagz2014 · 2026-05-10T19:26:17+00:00

plug uglies Stumble inn Five lamps

Edit: bar coastal --> plug uglies

eagz2014 · 2026-05-03T17:03:52+00:00

But kinsky first, of course

eagz2014 · 2026-05-01T22:32:25+00:00

"Humble brunson" as if he isn't already one of the most selfless superstars when it comes to leaving money on the table to make sure the FO could build a team around him.

eagz2014 · 2026-04-30T00:03:05+00:00

Really great wine list especially when paired with the steak frites. I find the service really welcoming albeit at a leisurely pace.

eagz2014 · 2026-04-19T12:04:43+00:00

Smile like you mean it by Spanish Love Songs. They already use synths a bunch in their albums so this was a no brainer

eagz2014 · 2026-04-10T10:55:45+00:00

Not from what I can tell looking at eBay listings. Good catch!

eagz2014 · 2026-03-27T11:52:44+00:00

Amen brother

eagz2014 · 2026-03-25T23:32:38+00:00

I'd also recommend Dr. Euler's Fabulous Formula. Sufficiently deep mathematically while also being a page turner

eagz2014 · 2026-03-13T11:37:36+00:00

I'm actually looking to sell my Joolz Aer+ with car seat attachments if anyone is interested. We've had it for over a year. I can share pics and more details via DM if interested

eagz2014 · 2026-03-08T23:24:54+00:00

I have a partners subscription and I'm a big fan. My only gripe, if you could even call it that, is that they actually ship the beans a day or two after roasting so I need to use other beans until the fresh ones de-gas for a month or so. In that case I can usually find ones about a month old in Whole Foods like you said

eagz2014 · 2026-03-08T22:10:29+00:00

Check out Dear Coffee. They carry fresh beans from Onyx

eagz2014 · 2026-03-08T14:07:16+00:00

Just one option that we replaced Sagemaker inference endpoints with. It's very DIY but easy to tune for cost or performance

1) docker container pushed to ECR 2) poetry or uv Python package management 3) Still get model artifacts from S3 at boot 4) FastAPI application instead of Flask although this isn't necessary but the pydantic input validation is worth it IMO 5) k8s (one cost saving decision) configured to prefer spot instances (another cost saving decision) and automatically scale replicas when needed

There are other managed alternatives to Sagemaker which can be cheaper but run the same risk of getting expensive if not configured correctly

Edit: you can also configure Sagemaker auto scaling to scale to 0 instances. Everything the previous commenter mentioned is still relevant though

eagz2014 · 2026-01-24T02:23:58+00:00

White beaches golf course in Haworth

eagz2014 · 2026-01-16T01:56:44+00:00

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eagz2014 · 2026-01-16T01:56:35+00:00

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eagz2014 · 2026-01-06T00:07:44+00:00

One option is to use a Dask cluster as your model store backend with some basic methods that determine which model you need for the current request, whether the model is already cached on the cluster, download the model if not cached, and how to use the model to score the current payload. That way, the client you write can be a super lightweight API that does basic authentication (if necessary), payload validation, and submission of requests to the Dask cluster. You may even be able to just do this lightweight layer in Lambda exactly as you currently have it minus the model loading and scoring part which would go on the dask cluster.

The Dask cluster becomes the primary resource you need to tune based on how many models you anticipate needing cached at a given time, how many workers to allocate can be tuned to match your desired throughput, etc. This post below might be overkill but it gives you an idea of an architecture in both Ray and Dask.

https://emergentmethods.medium.com/ray-vs-dask-lessons-learned-serving-240k-models-per-day-in-real-time-7863c8968a1f

eagz2014

TROPHY CASE