wgd

Fullscreen mode as the default is a big one, I prefer my agent harness to be a CLI rather than a TUI and in fact my personal one doesn't even try to wrap text. Pure CLI output model.

That said I also dislike many of those other changes and would prefer a hypothetical version of Pi which didn't have them, so this is in some sense just me looking up at the sound of a v1.0 release and realizing "oh hey, I don't really like the direction this has been trending for a while"

Sigh, looks like Pi's days as a nice minimal agent TUI are numbered. I guess no third-party offering can fight that entropy for long and I'll just have to polish up one of my toy projects for personal use.

The evaluation is fast because it's all prefill computation with only a single token of inference. Ditto cost, you're paying 100% input costs and nearly zero output. There really isn't any architectural magic to Jev, it's just a straightforward application of normal LLM tech with some good marketing.

I mean, Jev is also probably cheaper because it's a rather small model (or at least, I suspect it is based on the overall level of intelligence it demonstrates) so that helps make it cheap too.

Negative three years, give or take. Although recent Anthropic and OpenAI models no longer expose the capability. But for any open model you just tell it to respond with a single token "Y/N" and take the logit difference. If you want multiple distinct questions answered you just ask them independently and put the shared context first so it gets cached.

OpenAI and Anthropic don't want to give out logprobs these days but could trivially add a dedicated classification API to their existing models if there was enough demand.

I thought the downvotes on this comment would be the funniest thing about the submission until the whole thing got flagged.

Opus 5.5 is better but by no means good at writing IMO. Still loves "noun verbs the object" sentences where the verb is an inappropriate and imprecise metaphor. Still loves negating premises nobody previously advocated for. Still loves incorporating irrelevant details of a conversation or investigation into comments and documentation. I don't think I've seen "load-bearing" myself yet but there's still a lot of things landing and being held.

> likely human

X to doubt. I think the more parsimonious explanation is that a lot people are lazy and/or uncaring, and given the option to avoid thinking while still producing a vaguely equivalent [1] output they're taking it.

[1] For a loose definition of "equivalent" where they clearly either don't notice the Claudeslop or don't care enough to avoid it, of course.

Their exact phrasing IIRC was that they "never intentionally degrade" their models.

This still leaves an absurd amount of wiggle room for arguments like "oh no, our evals show that this quantization has no detectable effect on performance (in the eval distribution) therefore running the quant doesn't degrade quality"

"just"

I don't think I have ever once run "pip install transformers" and had it work without three rounds of fiddling

Because Git can track symlinks and not hard links since they look like ordinary files.

Only a presence bitmap? If we're contemplating packing schemes I'm tempted to write a paper that uses arithmetic coding to squeeze out a few more centi-bits.

Pangram gets brought up a lot because if I read an article and think it's blatant AI slop and want to communicate that fact, a natural impulse is to provide some sort of objective corroboration rather than just asserting that I have superior taste and thus am able to tell.

Also Pangram is basically the only AI detector that's actually put in the work to build an accurate classifier, so if you try to discuss AI writing detection without being specific that you mean Pangram you'll get half a dozen commenters screaming about how awful some of the snake-oil salesmen like GPTZero are.

> the author might not know what "impressive writing" or even "good writing" is

Well the author in this case is Claude, and AIs write like that because the assistant persona really thinks that's what good writing sounds like. They're wrong, but they're just doing what they were taught. There's a reason LLM raters consistently score LLM writing highly.

Conveniently, Reddit has auto-banned the last three accounts I tried opening with them [1], which really enhances the impact of the old.reddit changes for me personally.

[1] I have no idea why this is the case, AFAICT it's just anti-bot autoimmune disorder deciding it doesn't like some signal or other.