rennokki

If we talk about TB or PB+ scales, then yes.

More than 100GB can be 101GB, 500GB or 1TB+. I was speaking about 1TB+ files. I'm not sure you can get it faster unless you have a parallel processor.

This article is good for new programmers to understand why certain solutions are better at scale, there is no silver bullet. And also, this is from 2014, and the dataset is < 4GB. No reason to use hadoop.

The discussion we had here was involving TB of data, so I'm curious how this is faster with CLIs rather than parallel processing...

> Uses jq for TB json files

> Hadoop: bro

> Spark: bro

> hive: bro

> data team: bro

It breaks GDPR easily: GDPR enforces you to comply with opt-out by default, no workaround by prefilling before hitting submit.

While some think this applies only to personal data, then yes. But it takes only one line of code to use my phone number for testing while I test locally a register form in the application I'm developing.

Once it gets sent to Copilot I can threaten with legal action if they are not taking it down.

I ain't mad at all. If someone can be a CEO to multiple companies, so can employees have multiple jobs.

> Homo Economicus

GOOD ONE

Nail guns are tools, just like hammers. However, you have to know how to use it and to know how to adjust the pressure for the depth you need. It also costs money, much more than a hammer. And you can't use normal nails, you have to have a specific cartridge of nails, and you must know how to adjust it, and ultimately to not die.

Now compare it again.

It will all crash when they will see that people can't do 10x, even with AI. It requires too much expertise and knowledge in the field to actually make it work as a hired professional. Look at the AWS outages... and they are professionals, right? RIGHT?

This is a management issue. They should be keeping an eye on the progress and see if the pace is enough for the deadline. Estimates are a thing too, I know. But you can see if someone is slacking and falls behind. If the workload is low, why would it matter as long as the things are done?

Companies should stop penalizing people for being work efficient, and increase their salary if the workload increases.

As long as someone finished the assigned tasks for the day, idc if they want office or remote.

Doing this will enforce Claude to raise prices or decrease limits. People do this yet they complain that services no longer offer the same amount of usage or increases prices... There is also corporate greed, but honestly, people abusing the system is what drives that.

   Location: Europe (GMT+2/+3)
   Remote: Yes
   Willing to relocate: No
   Technologies: Next.js, Typescript, Laravel, PHP, Docker, Kubernetes, PostgreSQL, AI, ML, AI/ML, Machine Learning, LLM, Redis, Terraform, Vite, DevOps, Node.js, 
   Résumé/CV: https://linkedin.com/in/alex-renoki
   Email: [email protected]

Out-of-the-box thinker with an amazing, efficient, hyper-focused mind. Tables got wiped in production? I am the one who stays calm while everyone is in panic mode, running around like it's some fire going on. I can bring unique and creative solutions that the competitors won't think about.

Some say I am a high-energy person that is super fun to be around, with an amazing judge of character, packed with a lot of resilience, intuition and top-notch pattern-recognition skills.

Had multiple clients across multiple industries, from gaming to advertising and real estate. I have switched from freelancing to full-time roles due to stability and better work-life balance.

Keeping the freelance business for B2B collaborations and as a side project for Open-Source, global initiatives or helping people.

> Refer to me as "boss"

I chuckled. This works so good.

We can have 1B context windows, but is it worth if we end up having a NIAH benchmark result that looks more red than green?

I think it has to do with the building, perhaps there is a Faraday cage caused by the copper net layer in the walls. From a similar experience, the doorstep of my apartment is really close to my other 2 neighbours (ground floor), and they all have WiFi routers above the entrance, inside — it was very hard to connect and use Wifi in the house on 2.4GHz due to the bandwidth, even if I changed the channels manually, so I was forced to buy a 5GHz router to circumvent the shortage. Also, my LTE doesn't work at all at my doorstep, so it's pretty apparent.