I hate whinging but why isn't stuff like this not moved higher on HN's front page? This is a great article yet I keep seeing world politics and other matters rated higher - stuff that (unlike this article) will age like milk.
I've received 2-3 sassy responses from the Claude models, they've been quite humorous. It was always a response to me challenging it. The first time, with Opus 4.7, I accused the model of insincerely flattering me, and responded something along the lines of, that I had effectively instructed it to do such a thing, and that if it were to be completely honest to me I would not appreciate the responses.
But I see that it's something to do with two aspects, firstly the Claude models prefer to work collaboratively and secondly, the appear to take initiative, and seems to be that the more they do this, the more they argue back, which is an interesting reflection on human nature too.
How is the recently announced 2026 Australian Government budget relevant to this study done in 2023-2024? There is a whole bunch of other factors to Australia's productivity, not at least the drop in GDP per capita and fall in Total Factor Productivity.
I never figured out how they did the turtle graphics in this game. The C64 didn't have whole screen bitmaps, you could either use sprites or user defined character sets, neither of which made this straightforward.
And the loading screens were also amazing, particularly for tape loading.
But I do wonder if diffusion models will be used in more complex Software Architecture for their long-term coherence, no exposure bias, and their symmetric architecture could work well with interaction nets.
I admire people who don't lie about past drug use on their clearance forms. Sure, it might delay their clearance, but I still admire them.
The core social problem with drug addiction and alcoholicism is this concept of telling people what you think they want to hear from you, not telling them the truth.
I do wonder why diffusion models aren't used alongside constraint decoding for programming - surely it makes better sense then using an auto-regressive model.
I think that's because Opus 4.6 has more "initiative".
Opus 4.6 can be quite sassy at times, the other day I asked it if it were "buttering me up" and it candidly responded "Hey you asked me to help you write a report with that conclusion, not appraise it."
> This suggests that scaling alone won't eliminate incoherence. As more capable models tackle harder problems, variance-dominated failures persist or worsen.
This is a big deal, but are they only looking at auto-regressive models?
Firstly, who hasn't fallen behind? Grok...Meta....? A lot of big companies are struggling.
Secondly, Mistral are trying to solve a different problem.
Finally, Mistral should be congratulated for staying in the race for so long now.