To be fair, This is a deceptively hard task.
Without AI assistance, this should take ~10–15 minutes for a human. Maybe add 5 minutes if you're not allowed to use d3.
I would not even know how to draw a circle with CSS to be honest.
AI World Clocks
371–380 of 404 posts
Re: AI World Clocks
#372Earlier quoted context omitted.
This is it. They’re language models which predict next tokens probabilistically and a sampler picks one according to the desired ”temperature”. Any generalization outside their data set is an artifact of random sampling: happenstance and circumstance, not genuine substance.
However: do humans have that genuine substance? Is human invention and ingenuity more than trial and error, more than adaptation and application of existing knowledge? Can humans generalize outside their data set? A yes-answer here implies belief in some sort of gnostic method of knowledge acquisition. Certainly that comes with a high burden of proof!
Yes. Humans can perform abduction, extrapolating given information to new information. LLMs cannot, they can only interpolate new data based on existing data.
Re: AI World Clocks
#373Think this is just prompt eng tbh. One shot Haiku 3.5 (https://claude.ai/share/66c17968-485e-4d15-974b-4f6958e1e2fd) decent looking too.
Got it to work on gpt 3.5T w modified prompt (albeit not as good - https://pastebin.com/gjEVSEcJ)
`single html file, working analog clock showing current time, numbers positioned (aligned) correctly via trig calc (dynamic), all three hands, second hand ticks, 400px, clean AF aesthetic R/Greenberg Associates circa 2017. empathy, hci, define > design > implement.`
Re: AI World Clocks
#374Earlier quoted context omitted.
Plenty of folks out there know when they are dreaming just like they know when they are awake. It varies from person to person.
be careful as adding consciousness to a dream means CPU cycles so you wake Up more tired, its cool for kids and teens but grown adults shouldnt explore this to avoid bad rest
Over time, with accumulated experience, all dreams are lucid from the start. Because of that they are very calm and pleasant; the dreamer is no longer reactive to what happens in the dream because they know nothing is at stake.
Re: AI World Clocks
#375Earlier quoted context omitted.
be careful as adding consciousness to a dream means CPU cycles so you wake Up more tired, its cool for kids and teens but grown adults shouldnt explore this to avoid bad rest
I met someone once who claimed that he lucid dreams almost every night by default and it is exhausting. He smokes weed at night to avoid dreaming entirely. I didn’t dig in super deep, but it sounded pretty intense!
IMO they would benefit from skipping the weed and instead continue to practice lucid dreaming. Over time they will develop their skill and will learn to simply contemplate the dream without reacting to it. It is a calming experience.
Re: AI World Clocks
#376Watching this over the past few minutes, it looks like Kimi K2 generates the best clock face most consistently. I'd never heard of that model before today! Qwen 2.5's clocks, on the other hand, look like they never make it out of the womb.
I knew of Kimi K2 because it’s the model used by Kagi to generate the AI answers when query ends with an interrogation point.
Really? They must've switched recently cause that was around before kimi came out
Re: AI World Clocks
#377whats going on with kimi k2 and being reasonable/so unique in so many of these benchmarks ive seen recently? I will have to try it out further for stuff. is it any good at programming?
Yes, it trades blows with glm for the best open source model
Re: AI World Clocks
#378Re: AI World Clocks
#379Earlier quoted context omitted.
I knew of Kimi K2 because it’s the model used by Kagi to generate the AI answers when query ends with an interrogation point.
Really? They must've switched recently cause that was around before kimi came out
Yes, this is recent. Before it was other model(s), not sure which.
Re: AI World Clocks
#380Are they part of the LLM training set?