If the translation is correct, Finland converted about 14,000 hectares of forest in the 2010s per year (without replacement), and cut about 173,000 hectares per year in general (with replacement).
I suspect how much people think this was an honest mistake with their 330 hectares (apparently following the forestry rules but missing EIA) will depend on people's priors.
That's fine, but why not make it clearer that they're extremely early alpha?
Their websites look more polished than the apps themselves, have download options for non-technical users, and in no place that I can see (as of writing) do they mention that they are early development: https://getartcraft.com/apps/wordcraft
In "the before times" it was at least the norm to place at the top of a github repo and download section "this is early alpha" or similar to not let down potential users. This project currently seems like a great way to burn user willingness to try new apps.
Note that they're currently a buggy mess in my experience. That's not unusual for an alpha, but I'll personally wait to call them a gift until I see if the team is capable of polish+reliability. I do think their marketing is ahead of their product at the moment.
It also lost much of its quality advantage over plain jpeg, given the improvements in jpeg encoders: the jpegli encoder (from google's jpegxl team) has improved plain jpeg encoding significantly.
Most photo/design apps don't seem to be using SOTA jpeg encoders, though, so I think webp looks better in comparisons like OP's than it actually is. You maintain all the ultra-fast decoding of jpg when you use a modern encoder, too.
Disruption for one, since it would mean that every office would have to be turned over on a regular basis to find these things. Increasing American paranoia and insecurity were part of Soviet long term goals.
I think they mean the new Haiku, which is mildly above Luna now . If you have a plan written by a smarter model (so the hard parts are solved) they can be great at implementation.
It's impressive for its total size if you need local inference.
Though it's significantly slower in Token/s and also thinks a lot more without matching the same intelligence (xhigh qwen27b scores lower than haiku's medium setting, and haiku-med is $0.05 per task compared to Qwen27B's $1.01 on AA's comparison)
It seems like more a backup if you need to work offline, imo, unless time doesn't matter and/or your electricity is free. Or you want independence from the labs (fair enough).
Maybe, but it's a reality that most of the general public do prefer cookbooks with pictures. I suspect openai would end up doing this anyway just by targeting the general consumer. It's configurable.
I'm more worried about picture accuracy: usually the benefit of pictures in recipes is to see what you're aiming at (eg, how finely chopped something is), but I don't know if the image model is up to that level of detail.
What’s interesting is how those that over index themselves often miss the obvious which could simply be some things (cook books) are quite helpful with picture. If I am flipping through the cookbook, how would I know what Boeuf Bourguignon is and what good looks like.
Yes, pictures OF THE FOOD. Not unrelated pictures of another lamb-roast made with another recipe.
Good cookbooks do proper food photography, of the food made with the recipe. That's what sets them apart from slop, be it human or AI slop, cook books.
Why is it impossible to create? Are we talking about some meal that King Richard I had (https://en.wikipedia.org/wiki/The_Forme_of_Cury is the oldest cookbook I'm aware of which covers meals Richard II would have eaten), and thus we can only guess? Are we talking about the long extinct dodo bird (I'm not sure if humans ate them), cave bear (I've seen it claimed humans hunted them to extinction, but better sources say it went extinct before humans), or something else that we can never make?
For almost everything else we can create them - just give a reasonable cook a kitchen and the ingredients and they will do it. For a picture we then have an artist do preparation to make it look good, but they should always start with the real dish.
On subscription pricing a $20 Anthropic subscription gives >$500 equivalent tokens, which is not so different, and you get smarter models. API pricing has decent margins.
You're judging purely by token cost I assume, not cost per completed task?
The benchmark in the article showed it as lower per completed task than luna, but I guess we'll find out how representative that is. Anthropic has generally been fairly honest in their benchmarking though.
The cost per task from Artificial Analysis is roughly 3x higher at every reasoning effort level for Haiku than Luna. Sol 6.1 on medium has the same cost per task as Haiku with significantly higher intelligence. According to those numbers (which you should take with a grain of salt), from a pure cost vs intelligence standpoint, you're better off using Luna for economics and Sol for intelligence.
With that said, the real reason to use Haiku is that it's faster than all of these models. OpenRouter is showing an average so far of 93 tokens/sec, and AA got at least 137 in each of their benchmarks. So it might be valuable for speed at lower thinking levels. (At higher thinking levels, it's likely going to take longer to produce results than Sol on low/medium.)
I suspect how much people think this was an honest mistake with their 330 hectares (apparently following the forestry rules but missing EIA) will depend on people's priors.
1. https://ilmastopaneeli.fi/hallinta/wp-content/uploads/2025/1...
reply