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▲ BugsJustFindMe 4 hours ago

> "the charts below compare it with GPT-5.5, GPT-5.6-Sol, Claude-Opus-4.8, and Claude-Opus-5"

There should be a rule against releasing seemingly-obsolete comparisons without explaining why you're doing it. If you don't give a cost reason, it makes you look like you're trying to hide something.

I'm not saying that the given comparison is inherently bad. I'm saying that they failed to include any useful-to-potential-users reason for why those specific non-current model versions are meaningful.

▲AshamedBadger56 4 hours ago | parent | next [-]

I would suspect the point of the older comparisons is to be able to show that local models have caught up to where frontier models were a few months ago.

▲imjonse 3 hours ago | parent | prev | next [-]

It is a useful comparison since it more precisely defines the model capabilities. The alternative would be 'quite a ways from Astra' which is less helpful. So I don't think they hide anything, they don't assume people don't know about newer models or won't notice.

▲Catloafdev 3 hours ago | parent | prev | next [-]

Personally I think it's more accurate and useful to compare against competitive models rather than show "X% below the top-of-the-top today"

▲Imustaskforhelp 4 hours ago | parent | prev | next [-]

I know this is besides the point but I genuinely remember a time not very long ago that people used to say that they would kill for an claude opus 5 model at home or an open weights model and that opus 4.8/5 are the first models which finally get what they are suggesting.

Seems like our expectations and the floor has been rising at such an exponential rate.

Has someone created a benchmark for our expectations to see how much they've grown for new model releases? I'd be curious to see some of the data :-D

▲mrandish 3 hours ago | parent | next [-]

> a benchmark for our expectations to see how much they've grown for new model releases?

Posters have been saying they'd be happy with open-weight Fable 5 since before F5 was public and I saw one poster on HN say it last week. And with those posts there's usually a few mentioning the truism 'goalposts tend to move' and we haven't met our future selves or seen the future context we'll be in.

Studies show humans are poor predictors of our own future wants, needs, preferences and behaviors and few are fully aware how far and often we gradually move goalposts. Some of those posters weren't really making a precise, quantified statement. Many were expressing something more directional like "Wouldn't it great if {best, most costly thing I want but can't get or afford} were {readily available free or cheap } ?" Those variables update every time the sentence is output.

And in recent months models are saturating more of the benchmarks HN posters relate to and more of the real-world workloads we have. Six month ago, model flaws were more obvious and common. They still happen today, but for more of us, they're rarer, more complex and workload dependent. It's getting harder or takes longer for us to see clear, consistent differences between similar models and model versions. You can even see it in Simon's fanciful bike-riding pelican 'not-a-benchmark'.

I'm not saying that models are now great at everything (or even close), just that for a lot of us they're good enough at our current things that it's getting harder to personally gauge by how much. So we have to rely on complex composite benchmarks (which increasingly don't reflect any one thing at high granularity) or proxy reports about 'other people's things' like frontier theoretical mathematics.

▲BugsJustFindMe 4 hours ago | parent | prev [-]

> I genuinely remember a time not very long ago that people used to say that they would kill for an claude opus 5 model at home

I don't think you're going to be running this 1.6 trillion parameter model at home.

▲Imustaskforhelp 4 hours ago | parent [-]

I know that but given that it's most likely seems to be an open-weights model or that you can still run theoretically at home without being at the whims of Anthropic/OpenAI is still quite extraordinary.

▲james2doyle 3 hours ago | parent | prev [-]

The LongCat 2.5 preview came out on 2026-09-25 so I assume it was a relevant comparison at the time?

▲BugsJustFindMe 3 hours ago | parent [-]

But this was published yesterday, so they've had time.