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boredcoder411
239 posts
boredcoder411
@boredcoder411
1 thing per week || still highschool || interested and good at everything
localhost Inscrit le Temmuz 2024
67 Abonnements23 Abonnés
boredcoder411 retweeté
wavefnx․com
stable performance, low resources:
rss memory: 7.2Mb
cpu cores: ~0.03
conquering video, was never about videos
being able to display (collect) their information from everywhere in their most simple form(?)
think ~ further
wavefnx@wavefnx
high quality video on terminals with my .bras/c format mp4 -> .bras/c -> terminal the big difference is that when someone would try something similar they would render images at (frame*fps) which is crazy You'd be able to run .bras/c on any interface that can display text.
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@sourceloc uhhh can we get some api docs so we can make android versions
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Project Distribute, a self-hosted music app that feels premium, but is actually free. I'm making cross-server sync, offline support and a music suggestions algorithm.
The app is currently in closed beta testing, but will come out in early 2026 :D
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The issue with CNC and 3D printing is they make exactly the part you designed and not the part you wish you designed
(I suck at design)
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boredcoder411 retweeté
whoever at microsoft made windows wake up from sleep to update, count your fucking days
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i think that _'s should be allowable in all programming languages with numbers
its just objectively easier to read
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boredcoder411 retweeté
quartr going viral is a good reminder that tools don't matter.
you just need a good idea and execute on it.
in case you forgot – you can just do things.
Quartr@Quartr_App
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boredcoder411 retweeté
Please bro just subsidize our losses and then we’re good, please we’re a national strategic asset
Wall Street Rollup@WallStRollup
OpenAI Execs allude to the company being too big to fail. OpenAI CFO Sarah Friar stated that the company wants the U.S. government to provide a backstop or guarantee for AI financing. Meanwhile, Sam Altman believes that the government is the “insurer of last resort” for AI financing.
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Cause 10k is a bs number manipulated to satisfy the VCs
Simo Ryu@cloneofsimo
Im confused about "10,000 more efficient" part. This means you can train stable-diffusion-3 like model with 20$~ ish amount of electricity. What stops them from building a model and demonstrating it, beyond *checks note* ... Fashion MNIST? Im genuinely curious whats stopping them from demonstrating something like imagenet-1k which should take less than a dollar of electricity (if my math is right) for 200k steps of training
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@tom_doerr @GladiaLab It's not surprising, but being able to prove it is the point of the paper
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@GladiaLab Huh? How is this surprising? How could LLMs work without mapping prompts to unique embeddings and storing text data in them?
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LLMs are injective and invertible.
In our new paper, we show that different prompts always map to different embeddings, and this property can be used to recover input tokens from individual embeddings in latent space.
(1/6)
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