kang

11 ms·

1.
by kang 29d ago
both upi & cards are backwards. canada like etransfer to phone to email is the best modern solution so far.
2.
by kang 1mo ago
A product is something consumable.
3.
by kang 1mo ago
ive had hard time finding place to plant trees, can someone share if they of any 'forgotten lands'
4.
by kang 2mo ago
this one is trying to cashin on the 'multiplayer' keyword after the buzz that 'no one has cracked multiplayer yet'. well the ui sucks and is not it.
5.
by kang 3mo ago
Android browser wrapper that can download any video, audio, text
6.
by kang 4mo ago
No one talking about the police brutality & governance issues.
7.
by kang 4mo ago
clanking is just a sound made by robot's metal. not derogatory and isn't even meant to be used for agents but robots.
8.
by kang 4mo ago
hehe, this is by design. next model needs to eat your natural language
9.
by kang 4mo ago
this misunderstands whats thinking is .. > Thinkism sets aside practice and experience thinking succeeds experience & precedes practise, its not apart from it
10.
by kang 4mo ago
try replacing the word with 'thinking'
11.
by kang 4mo ago
Verification & solution generation are both part of problem generation & defining the passing test - judgement.
12.
by kang 4mo ago
orgdown is better than markdown which is better than markup, except the text ain't hyper. i've been working on this since feb & have reached xanadu
13.
by kang 4mo ago
Verification on its own is not research, but judgement is research. "Hey, Prove something a machine can't", sure I can't, "Hey, Say something worth proving & judge it well", ah, now I might have a few uniqu
14.
by kang 4mo ago
Unlike artificial carbon capture, natural carbon capture like algae here become insect/worm/bird feed or manure/coal.
15.
by kang 4mo ago
> The lower bound for contributing to mathematics will now be to prove something that LLMs can’t prove, rather than simply to prove something that nobody has proved up to now and that at least somebody finds interesting. 5.5pro is amazin
16.
by kang 5mo ago
I saw this experiment decades ago on the internet and it was to a music concert, i always wanted to do a cursor moshpit
17.
by kang 5mo ago
somebody did this a month ago https://www.youtube.com/watch?v=fdbXNWkpPMY i am increasingly going schizo, where every single thing I post/see posted gets copied and karma farmed on social media. further, any novelty I
18.
by kang 5mo ago
You are right, I was wrong in my understanding there. It stemmed from my own implementation; an inference often wrote extra data such as tool call, so I was using it to preserve relevant information alongwith desired output, to be able to t
19.
by kang 5mo ago
this economic model works for all 'bounty' related work
20.
by kang 5mo ago
The answer should be obvious that its both. Zurada was one of our AI textbook that makes it visual that right from a simple classifier to a large language model, we are mathematically creating a shape(, that the signal interacts with). More
21.
by kang 5mo ago
You not only skipped the diligence but confused everyone repeating what I said :( that is what caching is doing. the llm inference state is being reused. (attention vectors is internal artefact in this level of abstraction, effectively at t
22.
by kang 5mo ago
It seems you haven't done the due diligence on what part of the API is expensive - constructing a prompt shouldn't be same charge/cost as llm pass.
23.
by kang 5mo ago
> tokens written to cache all at once, which would eat up a significant % of your rate limits Construction of context is not an llm pass - it shouldn't even count towards token usage. The word 'caching' itself says don&#x2
24.
by kang 5mo ago
it will be whatever data it is trained on(isn't very philosophical). language model generates language based on trained language set. if the internet keeps reciting ai doom stories and that is the data fed to it, then that is how it wi
25.
by kang 5mo ago
at that time having a website took work, while having a github account can be cheaply used to sybil attack/signal marketing
26.
by kang 5mo ago
ya, unless its very trivial, AI won't be able to "deduce the structure most of the time".
27.
by kang 5mo ago
how does this work? for eg, how is it possible to even deduce bitcoin structure from rpc list?
28.
by kang 5mo ago
The proof-of-work in ai(llm) 'can be' from the training side (not the inference side this blog explores) if a hashcash like 'proof' of model having being trained was defined. It should be possible to do so, since the ver
29.
by kang 5mo ago
maybe a human knowledgeable in the domain (the training) is better than a smart liguist-programmer.
30.
by kang 5mo ago
It was in pre-tiktok world(push to regular content update) & before the purge. A lot of content is now gone. Its a great resource but very loosely coupled with humanity/human knowledge (and arguably a pretty poor resource for it, b

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