xavier666

What kind of use-cases was it, where you didn’t find suitable local models to work with ?

Any time you ask very domain specific questions; eg “i have collected some soil samples from the mesolithic age near the Amazon basin which have high sulfur and phosphorus content compared to my other samples. What factors could contribute to this distribution?”, both of-the-shelf local models & OpenAI fail.

The main reason is because these models are not trained on highly-specialized domains of text. Sometimes the models start hallucinating and which reduces our trust upon them.

Nobody is saying Valve is perfect. But the other companies just sucks much harder

Should have been called AITL (AITL Is a Translation Layer)

I think mkdocs is easier than hugo but less flexible in terms of capability. However it serves all my needs (list of webpages accessible from a central frontpage)

My company is realizing that hosting a model which will be private, cost-effective, and performing better than traditional algorithms is like finding a unicorn. Few months back, the top execs were jumping around GenAI like a bunch of kids. Fortunately, the Sr. research head beat some sense into them.

User is now nutting. Quick, send them some gooning ads

Google harvests you to sell more targeted ads*

Gentlemen, we got 'em

I too travel the seven seas for hidden loot ⛵

Stardew Valley is a good fit.

You tend to your farm, help people, maintain relationships with people by gifting them and changing their lives.

Unfortunately, i play the game like a maniac. Running around from morning 6 AM till 10 PM.