daralthus

hr likes to box people based on what they have done before. don't work in gambling if you don't want other gambling company recruiters trying to hire you.

Can you do safer? Yes, yes you can with a secrets management service (e.g.: Hasicorp Vault). Is that way more complicated to setup in all envs? Oh yes, yes it is.

GOAL: To be able to commit all your envs to git.

This is the only goal and this tool archives it. In the simplest way. While keeping you as secure as you were before, manually setting envs on heroku, railway, aws, jenkins etc.

GitOps FTW

and .dockerignore

Looks great, however it is much easier to work with just files, rather than key rings stored somewhere third party.

It was added in a backwards compatible way, but the author decided to make a breaking change with this release.

The previous (IMHO superior) version was generating a .env.vault and a .env.keys from a .env file. Leaving the .env plain text and .env.vault encrypted.

You can commit your secrets as an encrypted vault with this. Then decrypt it with a key where needed: locally, on CI, on prod, etc.

This is basically a simplified version of Hashicorp's Vault, GCP key vault etc. with some less granularity on user authentication.

It solves the issues around .env.example and is perfect for gitops. You have all your secrets for all your envs ready, while you only need to set a single env var (the private encrpytion key) on your specific hosting environment.

You could even use separate keys per env, eg.: to give access to a developer to staging only.

Mozilla's https://github.com/getsops/sops is another contender but with a more complicated (and perhaps more flexible) key management.

Would be nice to be able to configure which .env file to read as an environment variable. Why? Imagine a package.json with this line:

`start: dotenvx run -f .env.local -f .env -- node index.js`

Instead of the -f flag, which now cannot be overriden, one could invoke it with

`DOTENV=.env.staging npm run start`

Does anyone know what's the patent situation around this?

One of the magical experiences growing up, with my mom working in a food safety lab, was playing with the different coloured fires (and the pipettes of course).

I only later learned about spectrometry: roughly, the flame's light is split into a rainbow with a diffraction grating and the colours become a barcode for the chemicals that burn.

/Time for a good prompt injection email header/s

what's the current recommendation instead of ROS?

what's the output?

Is there any data interpolation/generation if I run a "function" with a new argument?

Really cool stuff, but really surprised no RL being used here, https://github.com/rail-berkeley/serl seems to be the way forward imho

Don't think they have AR Glasses just yet.

  Location: UK / Hungary
  Remote: yes
  Willing to relocate: no
  Technologies: llm-s, stable diffusion, pytorch, python, nodejs, pulumi, react, react-native, react-three-fiber
  Résumé/CV: https://kadlot.com/
  Email: peter@makethink.com

Full stack dev with 10 years of experience looking for remote AI Engineer contract. Based in UK/EU, 4h overlap with PST.

- Happy to do proof of concepts and productizing

- Loves to do deep dives on high impact unknowns, while staying pragmatic cleaning data, building apps, ui, apis and infra

- Keen to learn more about large scale model training/experiment running

- High on the potential for new interfaces and interactions with generative AI

Don't bother with sculpting, get a kit and start animating: https://kitbash3d.com/collections

Also ChatGPT writes pretty good instructions for you to get started.

Anyone wants to try my Improv Theatre GPT? https://chat.openai.com/g/g-LkQhMxpvM-improv-theatre

If you ever play Improv you soon realize that learning the basic rules of improv quickly lead to better scenes. You don't verbalize these while playing, but you keep them in your head and have a feel for them. I believe the authors greatly miss out on these internal representations by only focusing on the outcomes of what is being said.

Shameless plug, I made a GPT for playing improv: https://chat.openai.com/g/g-LkQhMxpvM-improv-theatre

SEEKING WORK | Remote

Location: EU, London, Budapest

10 years of experience as a Fullstack developer, now days trying my hands at AI engineering. Most recently been working on https://usegalileo.ai/

Skills: Typescript, Pulumi/Terraform, React, ReactNative, React-three-fiber, Python, Pandas, PyTorch, LLM-s, SD

https://kadlot.com/

q10 coenzyme before bed turns me into a log for the whole night

How is money spent on R&D a loss?

What's semantic caching?

> Error correction itself is not new to hardware – huge amounts of research has been expended in creating error correcting codes to repair bit-flips. We will likely need similar ‘semantic’ error correcting codes for LLM outputs to be able to stitch together extended sequences of NLOPs in a highly coherent and consistent way.

Can we dive into the idea of "semantic error correcting codes" in this thread please?

In a similar vein, the much much more elaborate book: Scott McCloud's - Making Comics, teaches more about visual communication than any other I came across.

To single out an example: the chapter about picking which moments to frame, if you have 6 frames for a story, really did change the way I remember events from then on.

Is there a multimodal version yet?

Just keep in mind, that movie will come out the same time when possibly 6 billion others will release theirs.

Ambroxol is a common ingredient of cough syrups that promotes the clearance of mucus.

Read Impro by Keith Johnstone. Had a lot of practical games I could try to enhance my playfulness, imagination, social abilities, etc. He also started with the exact same problem you mention.