twelvechairs
twelvechairs on Hacker News
Different with the open weight models though - they are a margin business. And openai etc have to compete with them too
Mimo 2.6 pro scores 46 and is half the price (though a lot less throughput). Im not sure why nobody has made the same fuss around it
Its in a competitive space with Dacia Spring, Renault Zoe and maybe Nissan Leaf, all of which are there or thereabouts for the announced price and weight here and actually being sold now. This is still a concept and 2 years away. So none of those specs are amazing.
Its a nice design though good to see from Citroen who have spend too long oscilating between no personality and just weirdly quirky (citroen cactus anyone?)
The reality is a lot depends on your economy. A manufacturing and port city will necessarily be very different urban form to a white collar office job city or a beach/lifestyle city full of remote workers. An egalitarian city will be very different from a socially segregated city. Etc.
Cities are also never perfectly efficient because they are always evolving in function and use
Im not sure you can make a decent business case when the space is crowded with Chinese companies doing the same thing with a fraction of the costs to hire talented staff
Even more amazing!
(Raskin left before even the original macintosh he helped lead. He also opposed the use of the mouse)
All of the big Bullfrog games were unique and for some reason never spawned imitators. Populous, Magic Carpet, Theme Park/Hospital, Dungeon Keeper alongside Syndicate
If you believe
https://artificialanalysis.ai/This is basically undercutting KimiK3 and Grok 4.6 where previously utilised gad soke advantages but was a step more expensive
You are absolutely right!
Would you like me to respond in a more naturalistic way for hackernews denizens?
Also everything hes saying about China (and other actors) many outside the USA would say about the USA.
The solution of a global arms race of state vs state with integrated statist corporations as the best outcome for end users sure is a choice though
Soulseek is still going strong last time i checked
Other countries will provide if the US doesnt
Surely for most the desire is just an LLM provider that doesnt store or sell their queries (including by national actors). As long as that is allowed to happen surely its the answer for the vast majority.
OpenSCAD uses CSG which is generally better. Easy to convert CSG to BREP. Cant generally do the opposite
Surely its the same hierarchy as before. For most complex things you start with high level to get something running quickly then move towards low level when you bed down the spec and need more safety, error reporting, speed etc.
Yeah its huge demand upswing from the growth of openclaw and similar pushing resources. Very clear from recent changes and announcement around this [0]
Fwiw there are worse delays from second tier providers like moonshot's kimik2.5 that are also popular for agentic use.
[0] https://news.ycombinator.com/item?id=47633396
No surprises many people on YCs site align with Sam Altmans view of the world - right or wrong.
Its a well researched area. My understanding is for most use cases and data like this R trees outperform as bounding box comparisons are fast to run and the bounding boxes tend to be well organised to chunk data efficiently. H3 is a looser area and you may find lots of your points are clustered in a few grids so you end up doing more expensive detailed intersection calculations. Of course it all depends a little on your data, use case and to some extent the parameters chosen for the spatial index. But I think safe to say now based on industry experience that r trees do a very good job 99.9% of the time.
You can of course also use h3 in postgis directly as well as r trees. Its helps significantly for heatmap creation and sometimes for neighbourhood searches.
For use cases like this - long term geospatial people still use postgis as foundational - mainly for its speed at scale and spatial indexing.
For the wider tech world - I would say postgres suffers from being "old tech" and somewhat "monolithic". There have been a lot of trends against it (e.g. nosql, fleeing the monolith, data lakes). But also more practically for a lot of businesses geospatial is not their primary focus - they bring other tech stacks so something like postgis can seem like duplication if they already use another database, data storage format or data processing pipeline. Also some of the proliferation of other software and file formats have made some uses cases easier without postgis.
Really Id say the most common path ive seen for people who dont have an explicit geospatial background who are starting to implement it is to avoid postgis until it becomes absolutely clear that they need it.
Agree with this. They are re-solving a problem that has been solved better by others before (with R-trees).
They may well be using some data storage where spatial indexing is not possible or standard. Geoparquet is a common one now - a great format in many ways but spatial indexing isnt there.
Postgres may be out of fashion but still an old fashioned postgis server is the simplest solution sometimes.
Theres only one solution to this problem and its 2 data centres in some way or form
Or just do what the Japanese do - remove unlimited (and overnight) on-street parking in urban areas and require anyone owning a car to prove they have a private parking spot to house it
Looks great. I wish there was similar advancement for full 3d tiles. The only real option at the moment is cesiums 3d tiles format which is nowhere near as fast as it could/should be
"it is tempting, if the only tool you have is a hammer, to treat everything as if it were a nail."
The other side is lack of colourfast pigments back then. Underlayers would be cheap and colourfast. Top layers would usually be more expensive and deteriorate much more quickly.
If you read the rhetoric it is not about removing commercial exploitation of children. It is about removing child bullying, grooming and algorithms that lead to things like misogynist content and eating disorders.
I generally agree with parent commenter - some of this will be helped by the ban but theres a serious risk a small number will go through fringe social media even less policed or normalised than the big American ones and have much higher risk on some of these issues than before.
The bar is incredibly low considering what OpenAI has done as a "not for profit"