mik09

7 ms·

1.
by mik09 3mo ago
i think in the long term the problem is going to be this: a great small model always come from a greater large model, but the larger base model keep getting larger and more closed sourced so long as there's no algorithm breakthrough
2.
by mik09 3mo ago
try qwen 3.7 or glm 5.2 or one of the larger gemma models
3.
by mik09 4mo ago
"Turn three: the company that fired its workers to save money discovers that its customers were, in aggregate, other companies’ workers." as AI become more agentic i think this will be gradually replaced by AI buying stuff from ot
4.
by mik09 4mo ago
either ai closes the loop which is unlikely or ai is not good and a small group of people manage to resist the urge to talk to it and take over everyone that does eventually
5.
My First Game, Shadow Dungeon (Procedural Roguelike)(dynaq.itch.io)
3 points by mik09 4mo ago|1 comments
6.
Ball Simulator in Python Made with Claude(github.com)
2 points by mik09 4mo ago|1 comments
7.
by mik09 4mo ago
Saw a similar youtube video decide to make it myself.
8.
by mik09 5mo ago
i feel like we are using ai to solve virus detection in many cases, and in theory this is the same complexity as the halting problem. evolutionary search is better than hard coded algorithms at finding solutions to np problems and this is s
9.
by mik09 5mo ago
but simpler explanation work until they don't all of a sudden
10.
by mik09 5mo ago
yeah anthropic tries to address this through mechanistic interpretation but not sure they are progressing as fast in that domain as their model development
11.
by mik09 5mo ago
it might have broken a couple metrics since if you get above 90 percent it might be that the metric can not measure you well anymore right?
12.
by mik09 5mo ago
a lot of times people cry wolf for a couple of times before wolf actually comes. i feel like theres a good chance that this is the actual wolf coming here. cause i was using opus for a lot and it's really good.
13.
by mik09 1y ago
So, did LLM (namely Gemini-Flash) helepd with the combinatorial optimization process? I'm sure not all of their discoveries (one on kissing numbers, etc.) have previous solutions in some other form, but yeah these findings looks more l
14.
by mik09 1y ago
multi-layer perceptrons are more complex than that lol
15.
by mik09 1y ago
'coming again to save the motherfucking day yeah!'
16.
by mik09 1y ago
its nice to know even people like google are treated like this. even people with management roles.
17.
by mik09 1y ago
same. its hard to write on reddit these days. even 'pulp' alternatives like 9gag is a lot more welcoming somehow.
18.
by mik09 2y ago
sometimes o1-preview start hallucinating halfway through a good solution. it can get the intuition and the 'main' direction for a problem wrong too. but then problem solving is just a series of rephrasings and translating into dif
19.
by mik09 2y ago
what if someone invented it before 1905
20.
by mik09 2y ago
saw similar project on an AI subreddit that got a lot of upvotes
21.
by mik09 2y ago
that sounds dystopian if its true
22.
by mik09 2y ago
what is a good place to get a pulse on general sentiment then?
23.
by mik09 2y ago
iirc, the official story from the mainland was that during around 1957 in order to boost literacy the govt simplified the characters, something like that... today i learnt
24.
by mik09 2y ago
r/machine learning comment thread has some interesting ideas, one of them linking this one with similar work in CV: https://www.reddit.com/r/MachineLearning/comments/1g0lnij/r_...
25.
by mik09 2y ago
is this the same reason why fp4 with more parameters beats fp16 with less?
26.
High Throughput Fizz Buzz (Code Golf)(codegolf.stackexchange.com)
13 points by mik09 2y ago|0 comments
27.
by mik09 2y ago
how long before it solves the last two problems?
28.
by mik09 2y ago
my first reaction as well
29.
by mik09 2y ago
used an exploit to get vpn working on router...
30.
by mik09 3y ago
c dominates every other language again... https://github.com/dannyvankooten/1brc#submitting

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