1,411 karma · joined March 8, 2022
Have LLMs fundamentally actually changed or improved to resolve problems like this, or have the big models been aggressively tuned / trained on specific examples so it’s less embarrassing?
Because I’ve noticed that Google’s stuff always seems to generate code to do counting tasks, even when not asked for, so I wondered if the LLM itself even generated the answer or it’s just being instructed to use a tool? (Which IMO is a workaround)
Also wonder if this is eg MS offering a good deal at the eleventh hour to stop it going ahead, or if they called their bluff
> Public reports cited by the LVV indicate that around 300 hectares of Finnish forest, roughly 420 football fields, had already been cleared before the project's environmental impact could be properly assessed.
Presumably with the environmental assessment being a prerequisite for a permit or something
Why can’t it build a simulator for this stuff? It has textual and formulaic explanations of everything it’s working with. Seems like it should be less than a days work if it can solve all of math in a few hours?
Any computational bottleneck on running such a simulator should also be solvable right, Anthropic have already told us this is the singularity already
Hype rather than realistic attempts to solve things is actually a valid explanation for that. They want to give the impression it’s a solve-everything machine even if it’s not well suited to areas outside of CS and math (or really anything where the logic of what is being done is not 1:1 with syntax, which is where LLMs are clearly excelling)
Starting to make these WSJ stories of ‘UK is doing <whatever> wrong’ look a little forced?
Since it’s paywalled hard to tell if they included the actual facts about why it took so long too:
> The works in Botley Road were initially due to be completed in October 2024. Setbacks ranged from archaeological finds, the discovery of a World War Two grenade and essential work to replace part of the gas network
An awful lot of references for arbitrary precision arithmetic are just repackaging Knuth’s explanations, so I wonder if there could in fact be a bug in common (Although you would like to assume every other piece of software using them would have also hit any issues by now, so maybe it is fine)
(and as noted on Wikipedia, the Clay institute still lists the problem as 'active' not solved https://www.claymath.org/millennium/navier-stokes-equation/)
Weird, these are all still here? https://en.wikipedia.org/wiki/List_of_unsolved_problems_in_m...
You can't just make stuff 'look nice' without affecting how the player behaves
I don’t think this is going to happen because they serve different purposes. Having to boot an entire OS inside a VM is a step backwards compared to containerisation. There are definitely use cases for isolating containers by running them inside a VM (see: Kata) but it generally ‘replacing’ docker, I don’t think that is on the horizon at all
(Also: you need KVM available, you need a rootfs to boot which will be larger than a container, it has no built in support for mounts or really any kind of communication with the host unless you explicitly set up networking etc for it)