Showing posts with label llms. Show all posts
Showing posts with label llms. Show all posts

Monday, August 31, 2026

Free token new way to run local ai on limited hardware


Comment using cache like mechanisms and streaming local ai becomes faster in smaller more limited hardware, such as traditional gaming pc setups.
 

Tuesday, August 18, 2026

Local ai qwen 3.8 tested

 

xcreate tries various levels of quantization on his mac with this recent model.  The results are quite impressive for such a limited model.

Wednesday, August 12, 2026

Video about Unsloth studio

 

comment: Youtube channel Learn Meta-Analysis goes over first impressions the unsloth studio ui.  There are many benefits to the ui, and according to the youtuber it can do video, images, and text, iirc.  Of course that depends on the loaded model.  Can also work with web based models not just local models.

Saturday, August 8, 2026

Video on AI benchmark testing maintenability

 


New benchmark that is far from being saturated.  Called slop code bench.  It tests error accumulation and maintainability as agents continue working on same code base.

This is the sort of benchmark that hopefully sees great progress.   If models cannot be left alone for long without the code devolving their usefulness cannot expand to take on more roles.

Sunday, August 2, 2026

AI made games, featuring claude opus 5.

 

Some not so impressive games are shown using claude opus 5.  The quality is still quite lacking in my opinion.   Given the amount of knowledge and training the model has it should be able to do better even with simple prompts.   

It has been seen that far more elaborate prompts with repeated modifications can produce notably more impressive results.


Wednesday, May 13, 2026

Encyclopedic parrots...

 

Comment

The first llms were called stochastic parrots, but eventually they did prove to have some degree of intelligence, disproving the label.

But that said, I think a better label is encyclopedic parrot, even to this day the latest llms, still make mistakes when asked obvious questions that are outside their training data.  But they can make very intelligent responses within and around the training data.  So I think encyclopedic parrot might be a better label for them.

They have intelligence, but not agi yet, just proto agi.

Monday, April 27, 2026

Various tests of the latest gpt5.5

 

Gpt5.5 shows notable improvement over previous versions.  Still limitations seem evident, especially in games.  I wonder will impressive games come out with simple prompts.