thecleaner

> it also builds self-esteem.

Well crafted dig.

Valid question. Its quite possible there's a future where only "favoured pharmaceutical company" can distribute these drugs in the US to protect against woke left liberals who might contaminate these meds with drugs that might turn your son gay. :)

I just block all notifications. The only things that go through are Whatsapp and calls. Even that is limited to a few people. All group notifs are turned off. Honestly i've got no idea why people would check random notifications

Wasnt Teamsters also the notorious shipbuilders union as well ?

This is weird. I use getter/setter regularly for DynamoDB backed DTOs. This helps catch setters at the source of a problem before it gets persisted. Also the exceptions will help pinpoint code paths where these things can happen.

Shove the docs as context. Gemini has 2m context length.

If these are high quality, I am all for these. Just not another damn celeb shilling their stupid fucking perfumes.

Very interesting. Shopify also provides a backend and APIs associated with it. Is that included ? Also how does it compare to WooCommerce ?

Quite right. Its just software engineering with a fancy name. This work classification is only slightly better thought out than DevOps. In most companies ML engineers are engineers that understand software and some parts of ML and in best cases are good at both, in worst cases are terrible at both.

Maybe I am underestimating the course complexity but this sounds like an entry level course. Up until Model explanability tools, most of the stuff looks fairly straightforward tbh. Although, they're using industry standard tools for most use-cases which is good I think.

Nothing fancy. The core principles are the same, you'll need to adapt them depending upon the kind workload changes that ML introduces. For most ML systems 1. Storage infra: assuming storage for models or even data, use any blob storage like S3. Or a shared networked file system like EFS, Lustre etc. 2. Networking: if you're talking about networking using large GPUs, I am not aware of any definitive resource on this. 3. Scheduling: This is honestly a solved problem at this point, anything works - write your own coordinator that periodically runs docker image base jobs (you can hook one up quite quickly using some sort of system for metadata and triggers powered by message queuing), use Airflow, use AWS Batch for large scale jobs.

You missed model serving (I think ?). Tough and latency sensitive esp for recommender systems. Prone to latency spikes, traffic spikes. Even with a well-written Python code you can run into limitations quite quickly.

Hmm. Charge high, better profit margins. To me that sounds exactly like the sort of thing a startup should do. Maybe my instincts are off.

Wth. Blume benefits sounds like a really useful thing ? Wonder what happened.

Who cares ? I go to Waterstones anyways.

What is the economics lesson though ? I figured they were talking about bounded rationality which the article touches upon in the last paragraph. But it would've been nice to get some confirmation within the article itself.

Remarkable show of persistence. Honestly, I really like that the Repo is as-is. Congratulations on the journey, hope you learnt a ton. PS - you built some of your static content on Docusaurus, a Meta open source project. They're hiring like crazy. Maybe you get to work on that one.

Cool. Lets move on now. I found Quanta's developments in computer science article more interesting.

Solve problems and pretend you are senior. You'll stumble, fall, make mistakes but that's the best learning you can hope for.

I guess the lesson here is to not bank with an a16z company. I have been using Wise for years. Very very happy.

How will it impact food supply ?

Most of this is land being dug up, we don't know what it will be used for. Could just be holding area for stock, which is not a good thing. Premature to comment on the scale of BYD's factory.

I don't understand the bashing in the comments. I image this is a tough distributed systems challenge (as with anything S3). Of course AWS is charging more since they've cracked it.

Does anybody know if appending still has that 5TB file limit ?

Sure but single node performance. This makes it not very useful IMO since quite a few data science folks work with Hadoop clusters or Snowflake clusters or DataBricks where data is distributed and querying is handled by Spark executors.

+1 for DDIA. that book helped mee ed hrow to senior.

I have a 27inch Phillips 4K and its pretty good. Comes at a price point of 400 bucks though,ast I checked.

Very poor F1 score if we're to bring ML into it.

Its because of thermodynamics. When you use fans in an area that doesn't have other external circulation, you introduce more energy into the system. This will increase increase temperature. From personal experience for a closed room, fans don't help if temperature even reaches 27degC. If the temperature outside exceeds 35 degC or basically any comfortable temperature, the result will depend on humidity levels. If you are sweating, it will help because of evaporation - some energy is absorbed for the phase change. If its really dry, a fan will only make it worse.

I am going to pay these folks just because they broke this story.

What's the hypothesis and the test statistic ?

I kinda applaud OP for sharing their personal story. However, I personally never understood why people give a shit about objectives which aren't tied to business objectives. I mean the build improvement of 10x is great, but so what ?

Also, Stripe is barely profitable. As an engineer in big tech, I wouldn't even consider applying. You're better off targeting Principal engineer at Big Tech since it implies doing some really ground breaking software work. At that point, you probably don't have to worry about middle management and that bs. Outside the big 4 I had an experience where the manager read a Software engineering management book and would follow the things down to the letter like a superstition. It was a stupid exchange but ChatGPT really helped build my repository of meaningless corporate soeak. I find it to be a very useful skill.