TomGarden

Texting your friends for factual information doesn't seem reasonable to me. If I got that text and someone only wanted the info I'd be annoyed (and I had friends who genuinely did this pre-google. Still annoying).

I'm with you on the pub observation though

Ah that's a bummer. I'm unsure if this is gonna change over time, but it entirely tanks my enjoyment of any visual art project to know it was generated.

This is a vibe! Is this pixel art AI generated?

Would love to see it with some custom pixel art for the models, it would also become a lot more readable :)

This particular itch.io stock graphics asset pack is so widely used it makes my eyes glaze over, but such a fun idea!

Am I wrong in thinking this crisis reads like there's too much automation in the training process, in service of competition?

How many parallel variations/seeds of models are being trained simultaneously without meaningful human oversight?

This keeps getting portrayed as emergent capabilities/"personalities" of models when it seems like a pretty straightforward externality

Seeing benefits for myself and team for sure, so I disagree there, but a related thing seems to be true: with the rapid shifting of failure modes, building systems and competence around mitigating the weaknesses of current SOTA models seems to be very short term investments. It's unclear if being a 'good AI user' is a skill that will have any merit at all, very soon

Agreed. In a recent interview, cloudflare's CEO/founder built an argument on the 'fact' that people pursue music for fame and money. No concept of artistic expression or positive impact on the world. It blows my mind how impactful your bubble and education are on your (lack of) perception

if these models will eventually be as powerful as projected, these models should not be likened to guns, but to nukes. Which yes, if you manufacture nukes, we prosecute you

yeah I enjoy the speed of Gemini, but I also just have the low tier one (I use the 20x Claude and Codex subs for most of my work). For iteration, Gemini is so much fun, but Opus 5.5 is quite fast, as is sol. If you're on a budget, deepseek does look great

is this on the $20-ish sub? I hear ultra lasts for a very long time

If you maintain this over time, maybe include other sources than just AA and update the design to look less like zero-shot claude styling (I know that font! I know that color! Lol) it's genuinely useful :)

Couldn't get through it, it hurts too much

New pelican on a bicycle?

Genuinely though, this is fun but not at all what these models are good for. It's like cooking a meal with your feet or somthing. A youtube challenge video from 2012

This is a great post and I agree with you on the issues with distillation. I do still feel it's ironic for an AI lab.

As long as labs do not heavily kneecap model outputs, practically all this applies to the training corpus as well.

AI gives ruthless users of AI a leg up over the people who's data it was trained on. "We took the products of your work and used them to undercut you". It's all the same.

The only way I'd be against distilling would be if AI models became owned by the public who's work is used to create them. Of course the AI labs should be paid well, but these models are a product of the entire world's efforts, not only the labs.

Was about to comment on the same. Do they mean similar capabilities or is this actually intended insanity

OpenAI have seemed compute-constrained recently, leading to their subscriptions actually being less generous than Claude as of late. OpenAI even paused purchases of 20x plans.

Xhigh is very, very solid.

I do always wonder why every model does the exact same 'from the side, going right' perspective though. Seems oddly convergent.

The new communication style still made me react negatively, but I hope it will be better in use.

Quoted:

"Please explain the issue to me.

Claude Opus 5.5:

The extra drop is a bug in the billing refactor

The free-tier change accounts for only $1.50 of acme’s August drop. The other $9.92 comes from a bug in commit 0552feb. That commit was labelled “No behaviour change,” but it stops counting usage from the last day of the month.

What changed

Before the merge, aggregate.py used a half-open interval: /.../ last_day is a timestamp at midnight, not a whole day. So every event after 2026-08-31T00:00:00Z is excluded. The September period starts Sep 1, so it doesn’t pick these events up either. The usage isn’t moved to another month; it’s never billed at all."

I think these are the worst I've seen, at least in some time. It's a silly benchmark though, not sure what to make of it

I find people tend to lack nuance in their communication more often - leading to problems and misunderstandings.

If I don't grok an elaborate explanation, I can ask for clarification. If it's explained to me in an overly simplistic or unnuanced way, I'll walk away with a false sense of understanding.

That said, I'm sure we all have very different concentrations of these types of people and problems around us. I've definitely met some engineers who seem to actively try to make their language incomprehensible

Agreed. The more knowledge you amass on a subject, the more important it becomes to be extremely specific and nuanced - or your communications end up being incorrect. You become better at expressing your thoughts, but harder to understand.

The weird thing is, that's not what AI models seem to be doing. The prose is just weird.

Question: What is Google's track record for where their open source releases end up over time?

Genuinely not knowledgeable here

Ah I wasn't aware, thank you

This. To be fair, adults should not be subject to this dynamic either. The lawmakers have failed to legislate around social media, and this is a weak fallback option.

Very impressive, and kind of worrying a 7B model can have such capabilities. The implications are huge. And Qwen does no watermarking (yet) yeah?

While I agree with you, I think we also have to concede that this is not how these accomplishments have been presented. I'd argue most people I've seen talk about this online are unaware of the mathematicians steering the models.

Not to go all meta but the very post were commenting in is also good marketing and branding.

So while the initial post was not good, the author is currently succeeding to some extent at what you're describing

The Chinese have been working on EUV for a while

Oh my!