Was at Herts and aspiaspace.com, now at astroai.cfa.harvard.edu and @universetbd.org
github.com/MultimodalUn...
Think ImageNet, but for space 🔭 #astrocode 🧵
Excited to see what FOSS machine learning world does with this 🔭
Check out these new scaling curves!
We are still seeing improvement at 800M parameters where before we stalled at 100M. Maybe high quality data is all you need 🤔
Check out these new scaling curves!
We are still seeing improvement at 800M parameters where before we stalled at 100M. Maybe high quality data is all you need 🤔
All embedding models, given large enough scale, can be translated between them without paired data
Security implication: Embeddings aren’t encryption, they’re basically plain text
arxiv.org/abs/2505.12540
All embedding models, given large enough scale, can be translated between them without paired data
Security implication: Embeddings aren’t encryption, they’re basically plain text
arxiv.org/abs/2505.12540
We introduce HypoGen💥, a dataset of ~5.5K structured problem–hypothesis pairs (Bit–Flip–Spark + Chain‑of‑Reasoning) to advance LLM-driven scientific ideation💡.
Fine‑tuned LLaMA 3.1 8B & R1‑distilled models show significant gains. Humans are still the best🥇.
We introduce HypoGen💥, a dataset of ~5.5K structured problem–hypothesis pairs (Bit–Flip–Spark + Chain‑of‑Reasoning) to advance LLM-driven scientific ideation💡.
Fine‑tuned LLaMA 3.1 8B & R1‑distilled models show significant gains. Humans are still the best🥇.
We introduce HypoGen💥, a dataset of ~5.5K structured problem–hypothesis pairs (Bit–Flip–Spark + Chain‑of‑Reasoning) to advance LLM-driven scientific ideation💡.
Fine‑tuned LLaMA 3.1 8B & R1‑distilled models show significant gains. Humans are still the best🥇.
As we turn 2, we’re going 2^2.
Launching a new project per day for the next four days.
We hope that you all enjoy these works as much as we have enjoyed working on them. Stay tuned for the big reveals!
As we turn 2, we’re going 2^2.
Launching a new project per day for the next four days.
We hope that you all enjoy these works as much as we have enjoyed working on them. Stay tuned for the big reveals!
val loss:
val loss:
my computer: best i can do is ^[[D
my computer: best i can do is ^[[D
We will be streaming on Discord (discord.gg/tSKx4h8p?eve...) and on Youtube (youtube.com/@UniverseTBD...)
woke: learning AI alignment best practices from "wallace & gromit: vengeance most fowl"
woke: learning AI alignment best practices from "wallace & gromit: vengeance most fowl"
just look at that floating ship!
just look at that floating ship!
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...