Claude is still the best IMO, but it feels like its most frustrating and grating aspects are not down to the model’s abilities, but the increasingly heavy hand of Anthropic expressing itself within the model. Fable’s comically useless responses almost seem like a cynical marketing tweak.

“This model is so powerful we basically can’t let it do anything. How terrifying! We need more money to make it stronger. Now do you see why we should be the ones who write the regulations? We’re the Good Guy AI Company Who Will Never Ever Ever Be Unethical after all.”

As this entity gains more ground, their models become increasingly annoying to use and their little act becomes more transparent. The whole “I’m-just a befuddled ethically-minded AI researcher who is perturbed by the power that I unwittingly discovered and I must warn the world” thing? Yeah fuck off. Your twee pandering to naïve nerds and cynical technocrats is nauseating and ordinary people can smell it a mile away. Completely repellent leadership who put up red flags to anyone left with a working ability to read between the lines of both spoken language and body language. The tech company equivalent of a sex predator who plays as the nice guy. Gross.

Nobody likes these companies and their models are annoying, but we’re going to put up with playing middle manager to these obnoxious programs because our jobs depend on it now, and these products are still the best on the market.

A breakthrough in tools that facilitate user-owned models and infrastructure is desperately needed for the sake of our dignity and sanity, if nothing else.

Comments URL: https://news.ycombinator.com/item?id=47448872

Points: 2

# Comments: 0

Until Ghostty offers the scriptability found in wezterm and kitty (e.g., hit a keybind, spawn a new terminal and execute a font picker script), I am trying out wezterm, which is pretty great, but renders fonts too thin by default. I stare at this thing eight hours a day so text rendering is super important.

Tidyverse is a godsend for at least getting initial data transformations sketched out and for gently introducing new users, but I do believe one should gain an understanding of how to do all of these things in plain R.

Recently I was tasked with grouping a large number of DNA oligonucleotides, and exploring the criteria by which to group them was a lot of fun using various R libraries. In the span of a few days I learned how to use k-means clustering, how to employ an UpSet plot, and how to build a phylogenetic tree.

"Text $WIFE_NAME I'm on my way home"

"Directions to $DESTINATION"

"[Set a] Timer [for] 15 minutes"

"Call $CONTACT" or "Call $PLACE"

etc.

These are usually done while I'm driving or on the move, or otherwise don't feel like scrunching up my thumbs to type or to look at a screen