The browser it built, obviously the context window of the entire project is huge. They mention loads of parallel agents in the blog post, so I guess each agent is given a module to work on, and some tests? And then a 'manager' agent plugs this in without reading the code? Otherwise I can't see how, even with ChatGPT 5.2/Gemini 3, you could do this otherwise? In retrospect it seems an obvious approach and akin to how humans work in teams, but it's still interesting.
It seems to be like some of the scales slightly off?
If you are looking at the ladybird (ladybug) with the amoeba to the left, the amoeba isn't an order of the magnitude smaller - it would actually be visible by the human eye (bigger than a grain of sand)? Indeed, the amoeba seems the same size as the ladybird's foot?
Similarly, this makes the bumblebee appear smaller than a human finger (the in the adjacent picture), which isn't the case?
Nice! What might be a nice lesser 'clue' to simply revealing a word is highlighting letter(s) on the board that are part of it? Favouring maybe highlighting letters that are contiguous with a blue bit?
Have you not seen some of the replies at the link?
For example:
"You are joking ?!
The commit about source only is 4 days old (9e49d5e)
We are currently paying for a license while using the open source version, you already removed the oidc code from UI console and now docker images. We are not happy by this lock-in. We will discuss this internally, but you may loose a paying customer with this behavior."
Are you me? Exact same! The problem with dual monitors is either you're sat in front of the gap, or you need to pivot. This way you get a 'normal' monitor and a portrait section to the side, much better.
$49 seems a surprisingly high amount for something aimed at students and learners - I appreciate the content may be good, but it's effectively 3 times a Netflix subscription.
It's meant to be something you stick with in the "long term" by its nature, and yet an annual subscription is $500 - this is just completely unrealistic for any student. Someone in a lower end job hoping to "up skill" is going to really struggle with this.
I don't think there's any question about the "probably" - I'm not that involved in the community but the subreddit makes it sound totally disharmonious.
"There are far fewer East Asian CEOs in the Fortune 500, and most of them are the founders of their companies like Jensen Huang (Nvidia), Tony Xu (DoorDash), Lisa Su (AMD)"
I think they could release non-agentic models that are as good as 4o, and have almost no repercussions on sales tbh.
I have Ollama installed (only a small proportion of their clients would have a large enough GPU for this) and have download deepseek and played with it, but I still pay for an OpenAI subscription because I want the speed of a hosted model, and never mind the luxuries of things like Codex's diffs/pull request support, agents on new models, deep research etc. - I use them all at least weekly.
Yeah but because it's a GitHub repo is has an inherent audit trail for that, so it's not really erasing misdeeds... indeed it highlights those people in diffs!
At the bottom it references a GitHub where people have previously added signatures against Jon Pretty - and now the maintainer says "NOTE: This repo is closed. Do not open issues; they will be summarily closed and ignored." - i.e. telling people they shouldn't even TRY to amend their signatures.
Regardless of what you think of Jon Pretty, how is this justifiable? Telling people they can't unsupport something because you're not open to issues, but also not removing it?!
No but 64 GB of unified memory provides almost as much GPU RAM capacity as two RTX 5090s (only less due to the unified nature) - top of the range GPUs - so it's a truly exceptional laptop in this regard.
I don't think you know what "cringe" means... this really makes you cringe? And they didn't say it was crazy, they said it was interesting enough to raise eyebrows. Everyone knows there are amazing coders in hedge funds, but not many hedge funds have forked a language - it is worthy of discussion here.
I don’t understand how this works with systems like toothpaste? I get if you somehow stored your toothpaste in some queue-like structure where you only see 1 at a time, then yes, reaching the last would be helpful. But surely they are in a cupboard or drawer or something?
To know to start the sentinel toothpaste he must search around and prove it’s the only one left - by doing this he doesn’t need the sentinel anyway, as the searching process with yield only one, sentinel or not?
If it doesn’t need a search, e.g. they are in a line/all on easy view - then it’s obvious it’s the last even without a sentinel?