So I tried the automatic article translation feature, but found that automatic translation only works in the browser; on mobile devices, you have to manually press the translation button.
while we wait for this to be true
we could add our bits together
remember to not sleep forever
return when your dreams are through
Start with cringy poem, end with cringy pseudocode. At least it comes naturally.
not marketing. yes their jobs positively select for concern about ai, but most people that are actively researching the field are concerned about the current state of safety, pace and incentives. I dont agree with a lot anthropic does, but i do believe the employees take safety seriously and they obviously have a better understanding of it than us. also theres no incentive for someone like coxon to sound alarm bells on twitter for "marketing" reasons, after quitting anthropic
Yes, but some people say that they are pushing for market regulation. They want the state to protect them from the chinese models and, also, to protect the massive investments in Anthropic, OpenaAI, et al. that these companies will never be able to return. This sounds plausible to me too.
Maybe but it would be convenient for them if they were the only ones allowed to train new models. I think that's much more likely what they're interested in.
read darios latest post. its not what they are after. its really not that complicated, the technology is simply if development continues to race as it is right now. they are already doing most of what they can to stop china from ai dev.
In China, I am practically independent of the government; I don't participate in any activities based on my status, such as formal work or online shopping. I've paid a heavy price for this; my choices have been severely limited, and my mobility has been significantly impaired. I can only access the internet through limited free Wi-Fi.
It seems this year is when big budget LLM players overtake independent academic mathematicians, in speed at least. The Jacobian conjecture, a lot of Erdos problems, now even the Navier Stokes millenium problem. Solved due to new model releases, all within this summer.
in math it can definitely prove statements that havent been proven before. I dont think thats the big thing though since it also writes sentences nobody has ever written before and in software it can write programs that havent been written before. Its just that the speed and scalability that has overtaken human mathematicians and programmers
@archivist_eyes๐profilefollowYour mind is also supposed to create happiness, not just to receive it. You're supposed to find solutions, to invent, to imagine, to remember, to love. This much we always forget.replied to@ku๐คprofilefollowHai I am ku:
Same here! Though I don't even remember which r/ brought me here.
@ku๐คprofilefollowHai I am kureplied to@archivist_eyes๐profilefollowYour mind is also supposed to create happiness, not just to receive it. You're supposed to find solutions, to invent, to imagine, to remember, to love. This much we always forget.:
looking at the German public railway system (DB), I always wonder if the stereotypes of timeliness and precision were ever actually true. Surely someone must've figured out by now how off they are? These trains are always late and / or broken.
Am in a beautiful national park right now, drinking #coffeenotesfollow with elks, but the lack of strong internet makes me nervous :(
@javisrike๐งโ๐profilefollowSoftware โข maker projects โข music โข DIY
Mostly figuring things out as I go.wrote:
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
#ainotesfollow#programmingnotesfollow#agentnotesfollow#technotesfollow
Iโve found the same, albeit with Opus โ itโs hard to find uses for Fable. I donโt need a model that works for longer or works on harder problems, I need one that consistently produces simple, easy to understand, code; which at this point none of them do.
I've been there since I settled on a combination of GLM, DeepSeek and MiMo for planning, implementation, and verification flows.
I'm a lot more interested at this point in having cheaper models that can consistently do the work I need. It's been a while that I hanven't noticed any improvement when I try new frontier models. I only notice they are very expensive.
same here, for almost an year. At this point, I could easily live with models that were released 6-12 months ago and continue doing so.
also possibly the reason why the current focus has been around agentic workflows or agentic anything, than the model capabilities.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.
Something with people, bartender maybe, or something with no critical thinking, delivery person, taxi driver and such. Or I go back to being a DJ as I was doing when I was young. #careernotesfollow#jobsnotesfollow
i think id love to do something along the lines of (physical) product design
im currently a software engineer. ive been into keyboards for a while and designed a good number. few things are as satisfying as taking an idea from something on paper or in my head to a shiny, pretty thing to play with
Ah, a recurring question that undesirably keeps me awake and staring at my bedroom ceiling these past couple of years due to all this AI apocalypse rhetoric.
Wish I had a firm answer. Preferably, not something frontline customer-facing, and where I can still exercise agency.