I really don’t understand why this social credit concept has become so widespread. It does sort of exist but not in the big government breathing down your neck kind of way.
Here’s an example - you can rent e-bikes and power banks at low cost, they are everywhere. If you don’t return an e-bike or power bank after using it, not only will that company charge you, but you’ll likely get blacklisted from renting more, even at other companies.
Haha this is cool, it reminds me of the simple.wikipedia.com alternatives to English language pages. Is there an about page linked somewhere? I’m wondering if the images are AI generated or if someone handmade all of this
These kind of project reports showing consistent breakthroughs and clearly a finger on the pulse of what users are encountering as pain points are a good indication that the Asahi team are real pros :)
Look forward to switching back to Asahi full time soon!!
Honestly I've been doing a lot of image-related work recently and the biggest thing here for me is the 3x higher resolution images which can be submitted. This is huge for anyone working with graphs, scientific photographs, etc. The accuracy on a simple automated photograph processing pipeline I recently implemented with Opus 4.6 was about 40% which I was surprised at (simple OCR and recognition of basic features). It'll be interesting to see if 4.7 does much better.
I wonder if general purpose multimodal LLMs are beginning to eat the lunch of specific computer vision models - they are certainly easier to use.
Having briefly experienced weight loss drugs - and the bliss of that constant “EAT!” voice in your head just going quiet - I’m pretty convinced most humans have a genuine genetic predisposition to overeating.
And when you zoom out to the population level, the “we’re all autonomous individuals” argument gets a lot shakier.
Like yeah, at the individual level you have agency, you make choices, fine. But at scale? We are absolutely at the mercy of whoever has figured out how to tickle our monkey brains in just the right way to get us buying their fattening food.
Instead of discarding stock, companies are encouraged to manage their stock more effectively, handle returns, and explore alternatives such as resale, remanufacturing, donations, or reuse.
I guess remanufacturing/reuse might be the intended solution if it's absolutely not to be worn.
> Don't take criticism from someone you wouldn't take advice from.
The funny thing I find about criticism is that you actually don’t have a choice about whether or not it affects your future actions. Criticism that I have dismissed has persistently come back to haunt me, perhaps via my subconscious.
$178 million might sound like an extremely large amount of money if you're a member of the general public, but for a global resource kept up to date that serves hundreds of billions of visitors per year this is actually not a huge quantity of money.
You can't tease me with "Algorithm" in the title and then not actually define an algorithm... TL;DR: Read lots of widely acclaimed books that are close to the source of what you want to learn?
I can't imagine the horror of tracking down a regression and finally fixing it, only to find someone else edited another section of the codebase, ruining all my efforts.
This is fine in text documents (to an extent, obviously references to sections of text that no longer exist can happen) because different sections are not as inextricably linked to each other.