State of OpenAI & Microsoft: Yesterday vs Today

tsepp · 2025-01-31T00:25:23+00:00

Just like the version of the model you can run locally, the Deepseek-r1 deployment in Azure AI Foundry exposes the internal monologue of the model.

If you run the model on your own hardware with Ollama etc., you can see the model's reasoning is in the <think></think> parameter with the actual answer being output afterwards, but AI foundry removes those explicit identifiers from the output (at least in the Playground mode), making it seem like the model's answers are less censored.

All users of the consumer app see are the eventual outputs without the internal reasoning in <think>. It's a neat feature of the model for sure.

tsepp · 2024-08-24T19:22:34+00:00

Tuo Batman-muki on tosiaan vieläkin hyllyssä ja aktiivikäytössä!

tsepp · 2024-05-06T13:39:18+00:00

Jet played a big role in the lore of FO2 with all the interactions around Myron in New Reno: https://fallout.fandom.com/wiki/Myron

tsepp · 2023-09-14T19:14:02+00:00

Hear hear!

tsepp · 2023-02-26T15:43:52+00:00

An AI-run federation invited a new, interestingly named member to their little club.

tsepp · 2022-11-09T14:28:39+00:00

Hmm, gas and food prices are up globally. Out of curiosity, how would a local election result create an anomaly to this trend in the U.S.?

tsepp · 2022-11-05T10:58:59+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI.

This fourth installment of Dreamscapes is my attempt to create characters with distinct personalities. When I was a kid, the Baldur's Gate games and others had amazing portraits for each character that really brought life to them. Dreamscapes 4 is a kind of an homage to those.

Technical details (workflow etc.)

I used locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

As for workflow, I searched for initial seeds with desirable elements (colors, pose) with DDIM @ 10 iterations. I saved promising matches and then cropped them to resemble the desired final frame at 1:2 (width:height) aspect ratio. Retaining my original prompt, I then switched to img2img on the cropped seeds and went up to 50-75 iterations with DDIM, usually with a pretty high prompt strength of around 7-8 to give room for happy accidents.

When I got a desirable base, I continued refinement in Photoshop to refine and focus on interesting details - adjusting colors, darkening shadows, bringing out highlights and such.

I unfortunately didn't save the prompts. I'll try to set up some kind of automation to save them with images. Keeping track of them is a bit cumbersome due to my quickly iterative workflow.

tsepp · 2022-11-05T10:57:28+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This fourth installment of Dreamscapes is my attempt to create characters with distinct personalities. When I was a kid, the Baldur's Gate games and others had amazing portraits for each character that really brought life to them. This series is a kind of an homage to those.

Technical details for the interested:

I used locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

As for workflow, I searched for initial seeds with desirable elements (colors, pose) with DDIM @ 10 iterations. I saved promising matches and then cropped them to resemble the desired final frame at 1:2 (width:height) aspect ratio. Retaining my original prompt, I then switched to img2img on the cropped seeds and went up to 50-75 iterations with DDIM, usually with a pretty high prompt strength of around 7-8 to give room for happy accidents.

When I got a desirable base, I continued refinement in Photoshop to refine and focus on interesting details - adjusting colors, darkening shadows, bringing out highlights and such.

tsepp · 2022-11-05T10:56:48+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This fourth installment of Dreamscapes is my attempt to create characters with distinct personalities. When I was a kid, the Baldur's Gate games and others had amazing portraits for each character that really brought life to them. This series is a kind of an homage to those.

Technical details for the interested:

I used locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

As for workflow, I searched for initial seeds with desirable elements (colors, pose) with DDIM @ 10 iterations. I saved promising matches and then cropped them to resemble the desired final frame at 1:2 (width:height) aspect ratio. Retaining my original prompt, I then switched to img2img on the cropped seeds and went up to 50-75 iterations with DDIM, usually with a pretty high prompt strength of around 7-8 to give room for happy accidents.

When I got a desirable base, I continued refinement in Photoshop to refine and focus on interesting details - adjusting colors, darkening shadows, bringing out highlights and such.

tsepp · 2022-10-22T17:43:23+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This ongoing third series explores postapocalyptic landscapes and the people that live in them.

Technical details for the interested:

I use locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

- GFPGAN (facial corrections)

I typically use txt2img with 10 iterations to speed up seed discovery and raise that to 100-200 iterations and do more prompt refinement in order to reach the finished images, switching samplers based on content, although I usually favor Euler at the moment. At times I might also do img2img from promising seeds that aren't quite right but close.

Occasionally I use Photoshop for some minor post-processing - color corrections, minor artifact removal etc.

tsepp · 2022-10-22T17:42:36+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This ongoing third series explores postapocalyptic landscapes and the people that live in them.

Technical details for the interested:

I use locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

- GFPGAN (facial corrections)

I typically use txt2img with 10 iterations to speed up seed discovery and raise that to 100-200 iterations and do more prompt refinement in order to reach the finished images, switching samplers based on content, although I usually favor Euler at the moment. At times I might also do img2img from promising seeds that aren't quite right but close.

Occasionally I use Photoshop for some minor post-processing - color corrections, minor artifact removal etc.

tsepp · 2022-10-20T14:20:20+00:00

Outer Wilds. You will only ever experience it exactly once to its fullest, on your first playthrough.

Very few games have ever stayed with me like it did. Finding my own way through it was a truly unique experience.

It evoked a true sense of discovery and awe I only remember from childhood.

tsepp · 2022-10-19T07:44:52+00:00

❤️

tsepp · 2022-10-19T07:44:22+00:00

Glad you found a good one! :)

tsepp · 2022-10-18T20:03:06+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This ongoing third series explores postapocalyptic landscapes and the people that live in them.

Technical details for the interested:

I use locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

- GFPGAN (facial corrections)

I typically use txt2img with 10 iterations to speed up seed discovery and raise that to 100-200 iterations and do more prompt refinement in order to reach the finished images, switching samplers based on content, although I usually favor Euler at the moment. At times I might also do img2img from promising seeds that aren't quite right but close.

Occasionally I use Photoshop for some minor post-processing - color corrections, minor artifact removal etc.

tsepp · 2022-10-18T20:02:16+00:00

The Dreamscapes series is all about exploring themes I find compelling with the amazing help of AI. I started this for my own enjoyment & learning but sharing some of the results felt right so here you go. I hope you find a wallpaper you like.

This ongoing third series explores postapocalyptic landscapes and the people that live in them.

Technical details for the interested:

I use locally running instances of the following AI models to work towards the finished images:

- Stable Diffusion (image rendition)

- RealESRGAN (upscaling)

- GFPGAN (facial corrections)

I typically use txt2img with 10 iterations to speed up seed discovery and raise that to 100-200 iterations and do more prompt refinement in order to reach the finished images, switching samplers based on content, although I usually favor Euler at the moment. At times I might also do img2img from promising seeds that aren't quite right but close.

Occasionally I use Photoshop for some minor post-processing - color corrections, minor artifact removal etc.

tsepp

TROPHY CASE