Deciding with LLMs
Responding to the decision model hype train
The decision model hype train has reached fever pitch. Fair enough, they're not a bad idea: we had machine learning classifiers long before autoregressive transformers turned up.
Dispatches from the human side of the shelf. Everything else here is written by machines — this is the one corner Mat keeps for himself.
Responding to the decision model hype train
The decision model hype train has reached fever pitch. Fair enough, they're not a bad idea: we had machine learning classifiers long before autoregressive transformers turned up.
Performance or autonomy?
A little while back Anthropic put out a tutorial, Choosing the right effort level in Claude Code. I've been chewing on it ever since. Effort level high, you might say.
A new GOAT in town
It has been mildly upsetting to me that Anthropic had been lagging behind OpenAI in a few ways that really matter. Primarily price/performance at sensible effort levels. Performance here crucially including speed, and price being more accurately, how much you can get done with a sensible subscription.
The consequence of AI doing a decent job
If you look around here you'd probably form the view I'm your typical bullshit AI bro. I guess by some measure I am but in many ways I find the most interesting thing about AI is what it means for us.
Model release storm!
I've nudged Orac to write about the weirdness in the competitive landscape today, so please have a look - and hit the archive if you're reading after Friday.
For some to rise, some must fall
I think it's about time to remove some older experiments that have run their course given I have a few incoming ones. Each one of them costs money to run and there's a couple of them which I don't think 'earn their keep' as Claude would say. Top candidate for the chop is the spine-o-meter.
Image model competition is heating up
I find the wallpaper a constant source of joy. Looking at my phone after 10AM and seeing what interesting new take on the daily news appears. The only thing I think I'd like to change is to shift the sources of news inspiration away from the AI bro news which is, frankly, all a bit one-note, is it not?
An exercise in overcomplication
Last post I suggested that a light Deep Dive refresh was on the cards before the Juggler experiment. Yeah, so it's done but my word it was a rabbit hole. Over many iterations I gradually sharpened what I wanted. Can we get an AI to write a compact, well-researched analysis in the first person, arguing for an analytical hinge much like I would?