making sense of computers one yap at a time
Joined July 2025
- Tweets 1,198
- Following 171
- Followers 128
- Likes 2,333
168 Photos and videos
5h
reinventing rust from first principles by wrapping everything in std::unique_ptr
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when you get down to defining the compute graph part it will make sense why llama.cpp asks you to enumerate every kind of tensor used for an architecture in the beginning (not yet defining how they relate to each other, just enumerating what tensors are used)
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dito retweeted
Jun 12
Oh and also
Indonesian food >>>>>>> Malaysian food
Jun 9
Been a busy first week in Malaysia. Didnt really have time to check X and discord 🫠
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Jun 12
diffusion gemma's encoder decoder architecture from a single decoder model is actually pretty clever
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Jun 12
wait right since it's already using a decoder-only pretrained, it doesnt really "pretrain from scratch" anymore, mmmmmMMM
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dito retweeted
Jun 9
More AI-generated code doesn't make your team faster. It might actually slow you down.
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Jun 11
yyyyooooooooooo
blog.google/innovation-and-a…
this is unironically more exciting than the fable release for me lmao
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Jun 11
cite TimpaTeks pls @google we have a pretty cool way to edit text in-place kinda lol
x.com/AlhamFikri/status/2064…
Jun 10
🚨Introducing TimpaTeks!
We’re exploring activation steering in diffusion models, allowing for in-place editing to transform text into new concepts.
Amazing work led by @rayendito
Check out the paper: arxiv.org/pdf/2606.08408
Github: github.com/rayendito/dlm_ste…
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dito retweeted
Jun 10
🚨 New Paper Alert! 🚨
How does AI bias manifest in an incredibly diverse nation like Indonesia? 🇮🇩
If you think AI bias is complicated in the US, try looking at Indonesia.
With hundreds of ethnicities/languages and a multi-party democracy (yes we have like 10 parties), i.e LLMs heavily favor massive majority groups (like Sundanese) while completely sidelining marginalized ones (like Korowai).
paper link: arxiv.org/pdf/2606.01260
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dito retweeted
Jun 10
Diffusion Interp. My favourite combination 😍
You guys should check their work!!!
Jun 10
🚨Introducing TimpaTeks!
We’re exploring activation steering in diffusion models, allowing for in-place editing to transform text into new concepts.
Amazing work led by @rayendito
Check out the paper: arxiv.org/pdf/2606.08408
Github: github.com/rayendito/dlm_ste…
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dito retweeted
Jun 10
🚨Introducing TimpaTeks!
We’re exploring activation steering in diffusion models, allowing for in-place editing to transform text into new concepts.
Amazing work led by @rayendito
Check out the paper: arxiv.org/pdf/2606.08408
Github: github.com/rayendito/dlm_ste…
Jun 9
You ever wanted to change a piece of text (positive to negative movie review, sentence abt cats to dogs, etc) without changing the structure of the sentence too much? our project, TimpaTeks🗿 lets you do that 😭😱🤯
TimpaTeks🗿 is based on diffusion LMs and activation steering. Basically, to change the sentence automatically, it selects (samples) tokens that needed to be replaced, then it goes through the usual DLM generation pipeline with steer vectors injected.
I think the results are pretty neat and the text is still coherent (gif is an actual run result) pls check it out guys
github: github.com/rayendito/dlm_ste…
arxiv: arxiv.org/abs/2606.08408
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Jun 9
You ever wanted to change a piece of text (positive to negative movie review, sentence abt cats to dogs, etc) without changing the structure of the sentence too much? our project, TimpaTeks🗿 lets you do that 😭😱🤯
TimpaTeks🗿 is based on diffusion LMs and activation steering. Basically, to change the sentence automatically, it selects (samples) tokens that needed to be replaced, then it goes through the usual DLM generation pipeline with steer vectors injected.
I think the results are pretty neat and the text is still coherent (gif is an actual run result) pls check it out guys
github: github.com/rayendito/dlm_ste…
arxiv: arxiv.org/abs/2606.08408
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this paper came to be with the help and inspiration from my cool friends @IkhlasulHanif0 @ Fadli Aulawi @ Ahmed Elshabrawy @AlhamFikri
... and the TimpaTeks memes (literal translation: TextOverwrite memes)
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