mintone

I don’t want to dive into Reddit like territory but this is not a fair representation of the place. It is a shopping centre, yes, in the same vein as Westfield or any other created in the past twenty years. There is a Lego store, Uniqlo and many other normal high street stores [1] alongside higher end places but Sloane Street this is not. Throughout the year there are events in the riverside space with stalls from local traders and various other free events, especially for children.

I would argue that it is one of the more successful new developments in terms of “placemaking”, certainly in that part of London. It is very clearly targeted at the residents of the local area who are normal London middle class wealth. The little shop no doubt has bottles of expensive wine but it also has £10 ones.

For clarity; I’m not a resident of the area but have visited a bunch of times, especially with kids.

Making new places is hard and I think they’ve made a decent go of the place.

[1] https://batterseapowerstation.co.uk/retailers/?retailertype=...

I wrote this a year or so ago: https://www.technicalchops.com/articles/ai-goes-to-hollywood...

"The studios and creators who thrive in this new landscape will be those who can effectively harness AI’s capabilities while maintaining the human creativity and vision that ultimately drives the art of cinema."

It is in many ways thrilling to see this come to life, and I couldn't agree with you more.

The lede is buried at the end of this article.

> Later iOS 26 beta releases show Apple reducing transparency and adding blur effects for better readability.

This is a beta release. It is a work in progress. When iOS 7’s betas came out the reaction was similarly negative. I would suggest we wait and see what the system evolves into; by the time we get to iOS 27 I am quite sure that Apple will have found the right balance.

A fascinating situation is facing polymarket - Zelenskyy was pictured wearing a suit (as described by the media) at the NATO summit on June 25th but this market is still unresolved. It appears there’s lots of argument here and that this market is set to be test of the platform.

When I tested, you can also screenshot disney+, netflix etc. so DRM is also broken by it!

WhatsApp was the one I tested it on

This video[1] seems to give some insight into what the process actually is, which I believe is also indicated by the output token cost.

Whereas GPT-4o spits out the first answer that comes to mind, o1 appears to follow a process closer to coming up with an answer, checking whether it meets the requirements and then revising it. The process of saying to an LLM "are you sure that's right? it looks wrong" and it coming back with "oh yes, of course, here's the right answer" is pretty familiar to most regular users, so seeing it baked into a model is great (and obviously more reflective of self-correcting human thought)

[1] https://vimeo.com/1008704043

The comments on this thread are interesting. I use Laravel extensively. For big applications, serving lots of users. It works when the application is relatively complex, and the ecosystem is second to none. Need to just throw it up on a server? There's Forge[1]. A better CI/CD process? Envoyer[2]. Want serverless? Not for me, but Fathom[3] use it to deal with >100Ms of hits a day; there's Vapor[4]. All three of those are Laravel developed and maintained solutions.

If I'm throwing something small together then sure, I'll maybe use Flask or something lightweight[5]. But Laravel is very good for nearly every use-case where you intend to actually build something.

Then there's the bigger question: if you're building to meet a business use case, or well, to make money, then why wouldn't you use the most complete scaffold possible? I'd say Laravel is that. If it's too much of a pain to do something in PHP I can just stick in a call to a python file or really whatever language I want. But for the basics? A db? Auth? and lots of other stuff that I never want to personally build again? Yeah, give me Laravel everyday.

[1] https://forge.laravel.com/ [2] https://envoyer.io/ [3] https://usefathom.com/ [4] https://vapor.laravel.com/ [5] To prove I'm not a shill, this is from literally last night: https://github.com/simonminton/consensus-article

The article states that "They scan an image through a thin slit up to 2,000 times a second", whereas it has been widely reported that it is actually 40,000 times a second[1]

The article probably wasn't wrong, for when it was first written. This is a curious internet thing - this article is a decade old and has been updated incrementally to keep it somewhat relevant, however because it's about tech that keeps advancing it ends up being a misleading source.

If you look at all of the sources, they're from January 2014 but because the article is undated it leads you to think it's is correct. It's an interesting problem. An old textbook is clearly an old textbook, but a website can just have modern CSS applied, dates removed and there is no apparent guide to the freshness of the article. Internet problems.

[1] https://www.axios.com/2024/08/05/noah-lyles-wins-gold-track-...

I've been bullish[1] on this as a major aspect of generative AI for a while now, so it's great to see this paper published.

3D has an extremely steep learning curve once you try to do anything non-trivial, especially in terms of asset creation for VR etc. but my real interest is where this leads in terms of real-world items. One of the major hurdles is that in the real-world we aren't as forgiving as we are in VR/games. I'm not entirely surprised to see that most of the outputs are "artistic" ones, but I'm really interested to see where this ends up when we can give AI combined inputs from text/photos/LIDAR etc and have it make the model for a physical item that can be 3D printed.

[1] https://www.technicalchops.com/articles/ai-inputs-and-output...

I'd be interested in seeing a similar analysis but with a slight twist:

We use (in production!) a prompt that includes words to the effect of "If you don't get this right then I will be fired and lose my house". It consistently performs remarkably well - we used to use a similar tactic to force JSON output before that was an option, the failure rate was around 3/1000 (although it sometimes varied key names).

I'd like to see how the threats/tips to itself balance against exactly the same but for the "user"

I knew Matthew's brother years ago and met him a few times, he now does pretty cool (and reasonably priced) watches: https://www.mhdwatches.com/